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ORCIDICIP 2021: Anchorage, AK, USA
- 2021 IEEE International Conference on Image Processing, ICIP 2021, Anchorage, AK, USA, September 19-22, 2021. IEEE 2021, ISBN 978-1-6654-3102-6
- Ke Wang, Guangyu Wang, Kang Zhang, Ting Chen:
An Adversarial Collaborative-Learning Approach for Corneal Scar Segmentation with Ocular Anterior Segment Photography. 1-5 - Li Diao, Haoyue Guo, Yue Zhou, Yayi He:
Bridging the GAP Between Outputs: Domain Adaptation for Lung Cancer IHC Segmentation. 6-10 - Yanan Wei, Jiang Tian, Cheng Zhong, Zhongchao Shi:
AKFNET: An Anatomical Knowledge Embedded Few-Shot Network For Medical Image Segmentation. 11-15 - Xiaoming Liu
, Shuo Wang, Ying Zhang:
Meibomian Glands Segmentation In Near-Infrared Images With Weakly Supervised Deep Learning. 16-20 - Ziyang Wang, Zhengdong Zhang, Irina Voiculescu:
RAR-U-NET: A Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation Under Noisy Labels. 21-25 - Jie Wang, Chaoliang Zhong, Cheng Feng, Jun Sun, Yasuto Yokota:
Feature Disentanglement For Cross-Domain Retina Vessel Segmentation. 26-30 - Dachuan Shi, Ruiyang Liu, Linmi Tao, Zuoxiang He, Li Huo:
Multi-Encoder Parse-Decoder Network for Sequential Medical Image Segmentation. 31-35 - Marco Domenico Cirillo, David Abramian, Anders Eklund:
What is The Best Data Augmentation For 3D Brain Tumor Segmentation? 36-40 - Jiahao Xie, Sheng Zhang, Jianwei Lu, Ye Luo:
L-Snet: From Region Localization To Scale Invariant Medical Image Segmentation. 41-45 - Paria Jeihouni, Omid Dehzangi, Annahita Amireskandari, Ali Rezai, Nasser M. Nasrabadi:
Gan-Based Super-Resolution and Segmentation of Retinal Layers in Optical Coherence Tomography Scans. 46-50 - Nandinee Fariah Haq, Christina Zhang, Linlin Gao, Tianze Yu, Martin J. McKeown:
Connectivity Based Functional Segmentation Of The Brainstem. 51-55 - Lianyu Du, Liwei Hu, Xiaoyun Zhang, Yu-Min Zhong, Ya Zhang, Yanfeng Wang:
Unsupervised Segmentation Framework with Active Contour Models for Cine Cardiac MRI. 56-60 - Chenxin Li, Yunlong Zhang, Zhehan Liang, Wenao Ma, Yue Huang, Xinghao Ding:
Consistent Posterior Distributions Under Vessel-Mixing: A Regularization For Cross-Domain Retinal Artery/Vein Classification. 61-65 - Stefan Cornelissen, Joost A. van der Putten, T. G. W. Boers, Jelmer B. Jukema, Kiki N. Fockens, Jacques J. G. H. M. Bergman, Fons van der Sommen, Peter H. N. de With:
Evaluating Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett's Esophagus. 66-70 - Xiaoming Liu, Zhipeng Liu, Ying Zhang, Man Wang, Bo Li, Jinshan Tang:
Weakly-Supervised Automatic Biomarkers Detection And Classification Of Retinal Optical Coherence Tomography Images. 71-75 - Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto:
Unitopatho, A Labeled Histopathological Dataset for Colorectal Polyps Classification and Adenoma Dysplasia Grading. 76-80 - Ju-Hyeon Nam, Sang-Chul Lee:
Frequency Filtering for Data Augmentation in X-Ray Image Classification. 81-85 - Qi Zhang, Zhu Meng, Zhicheng Zhao, Fei Su:
GSLD: A Global Scanner with Local Discriminator Network for Fast Detection of Sparse Plasma Cell in Immunohistochemistry. 86-90 - Zihao Li, Jiechao Ma, Shu Zhang, Yemin Shi, Junge Zhang, Kaiqi Huang, Yizhou Yu:
CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection. 91-95 - Junho Kim, Minsu Kim, Yong Man Ro:
Interpretation of Lesional Detection via Counterfactual Generation. 96-100 - Zhuangzhuang Wang, Mengning Yang, Yangfan Lyu, Kairun Chen, Qicheng Tang:
Nuclear Density Distribution Feature for Improving Cervical Histopathological Images Recognition. 101-105 - Yuchen Zeng, Gregory Howe, Kai Yi, Xiangrui Zeng, Jing Zhang, Yi-Wei Chang, Min Xu:
Unsupervised Domain Alignment Based Open Set Structural Recognition of Macromolecules Captured By Cryo-Electron Tomography. 106-110 - Haiyu Zhou, Daoqiang Zhang:
Graph-In-Graph Convolutional Networks For Brain Disease Diagnosis. 111-115 - Yiqing Shen, Jing Ke:
Su-Sampling Based Active Learning For Large-Scale Histopathology Image. 116-120 - Vikram Ravindra, Geoffrey Sanders, Ananth Grama:
Identifying Coherent Subgraphs In Dynamic Brain Networks. 121-125 - Yiqian Wang, Alexandra Warter, Melina Cavichini-Cordeiro, William R. Freeman, Dirk-Uwe G. Bartsch, Truong Q. Nguyen, Cheolhong An:
Learning to Correct Axial Motion in Oct for 3D Retinal Imaging. 126-130 - Guillaume Potier, Frédéric Lavancier, Stephan Kunne, Perrine Paul-Gilloteaux:
A Registration Error Estimation Framework for Correlative Imaging. 131-135 - Chongfei Huang, Chenhui Qiu, Zhiyi Peng, Jing Yuan, Dexing Kong:
Iterative Reweighted Local Cross Correlation Method for Nonlinear Registration of Multiphase Liver CT Images. 136-140 - Aishwarya H. Balwani, Joseph D. Miano, Ran Liu, Lindsey Kitchell, Judy A. Prasad, Erik C. Johnson, William R. Gray Roncal, Eva L. Dyer:
Multi-Scale Modeling of Neural Structure in X-Ray Imagery. 141-145 - Hyunseok Seo, Kelly M. Shin, Yeunwoong Kyung:
A Dual Domain Network For MRI Reconstruction Using Gabor Loss. 146-149 - Xuhui Li, Yong Xu, Feng Xiang, Qing Liu, Weihong Huang, Bin Xie:
KINET: A Non-Invasive Method For Predicting Ki67 Index Of Glioma. 150-154 - Tong Xin, Bohao Chen, Xi Chen, Hua Han:
UTR: Unsupervised Learning of Thickness-Insensitive Representations for Electron Microscope Image. 155-159 - Jan-Philipp Tauscher, Susana Castillo, Sebastian Bosse, Marcus A. Magnor:
EEG-Based Analysis of the Impact of Familiarity in the Perception of Deepfake Videos. 160-164 - Davood Karimi, Rabab Ward:
Interpolation of CT Projections by Exploiting Their Self-Similarity and Smoothness. 165-169 - Mahesh Raveendranatha Panicker, Yale Tung Chen, M. Gayathri, A. N. Madhavanunni, Kiran Vishnu Narayan, Chandrasekharan Kesavadas, A. P. Vinod:
Employing Acoustic Features To Aid Neural Networks Towards Platform Agnostic Learning In Lung Ultrasound Imaging. 170-174 - Xiaohong Liu, Kai Wang, Ting Chen:
Deep Active Learning For Fibrosis Segmentation Of Chest CT Scans From Covid-19 Patients. 175-179 - Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
Hybrid Deep Learning Model For Diagnosis Of Covid-19 Using Ct Scans And Clinical/Demographic Data. 180-184 - Aysen Degerli, Mete Ahishali, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj:
Reliable Covid-19 Detection using Chest X-Ray Images. 185-189 - Han Yang, Mengke Zhang, Lu Shen, Qiuli Wang, Wanqiu Chen, Chen Liu, Minjian Hong:
Mmfc: Multi-Modal Fusion Cascade Framework For Covid-19 Disease Course Classification. 190-194 - Shehan Perera, Srikar Adhikari, Alper Yilmaz:
Pocformer: A Lightweight Transformer Architecture For Detection Of Covid-19 Using Point Of Care Ultrasound. 195-199 - Douglas P. S. Gomes, Anwaar Ulhaq, Manoranjan Paul, Michael J. Horry, Subrata Chakraborty, Manash Saha, Tanmoy Debnath, D. M. Motiur Rahaman:
Features Of ICU Admission In X-Ray Images Of Covid-19 Patients. 200-204 - Jiawang Cao, Lulu Jiang, Junlin Hou, Longquan Jiang, Rui-Wei Zhao, Weiya Shi, Fei Shan, Rui Feng:
Exploiting Deep Cross-Slice Features From CT Images For Multi-Class Pneumonia Classification. 205-209 - Fouzia Altaf, Syed M. S. Islam, Naeem Khalid Janjua, Naveed Akhtar:
Boosting Deep Transfer Learning For Covid-19 Classification. 210-214 - Ngan Le, James Sorensen, Toan Duc Bui, Arabinda Choudhary, Khoa Luu, Hien Van Nguyen:
PairFlow: Enhancing Portable Chest X-Ray By Flow-Based Deformation For Covid-19 Diagnosing. 215-219 - Ruizhe Liu:
Cohabitation Discovery via Spatial and Temporal Clustering. 220-224 - Szu-Chi Chung, Cheng-Yu Hung, Huei-Lun Siao, Hung-Yi Wu, Wei-Hau Chang, I-Ping Tu:
Cryo-Ralib - A Modular Library for Accelerating Alignment in CRYO-EM. 225-229 - Kazuki Murayama, Kenji Kanai, Masaru Takeuchi, Heming Sun, Jiro Katto:
Deep Pedestrian Density Estimation For Smart City Monitoring. 230-234 - Je Hyeong Hong, Hanjo Kim, Minsoo Kim, Gi Pyo Nam, Junghyun Cho, Hyeong-Seok Ko, Ig-Jae Kim:
A 3d Model-Based Approach For Fitting Masks To Faces In The Wild. 235-239 - Bo Yang, Jianming Wu, Gen Hattori:
Face Mask Aware Robust Facial Expression Recognition During The Covid-19 Pandemic. 240-244 - Philine Witzig, Evgeniy Upenik, Touradj Ebrahimi:
Open-Set Person Re-Identification Through Error Resilient Recurring Gallery Building. 245-249 - Omid Dehzangi, Paria Jeihouni, Victor S. Finomore, Ali Rezai:
Physiological Monitoring Of Front-Line Caregivers For Cv-19 Symptoms: Multi-Resolution Analysis & Convolutional-Recurrent Networks. 250-254 - Jay Nandy, Wynne Hsu, Mong-Li Lee:
Distributional Shifts In Automated Diabetic Retinopathy Screening. 255-259 - Armando Garcia Hernandez, Pierre Fau, Stanislas Rapacchi, Julien Wojak, Hugues Mailleux, Mohamed Benkreira, Mouloud Adel:
Improving Image Quality In Low-Field MRI With Deep Learning. 260-263 - Xin Ma, Yiping Duan, Shuzhan Hu, Xiaoming Tao, Ning Ge:
Eeg Based Visual Classification With Multi-Feature Joint Learning. 264-268 - Yuxin Lin, Huimin Ma, Zeyu Pan, Rongquan Wang:
Depression Detection by Combining Eye Movement with Image Semantics. 269-273 - Runze Wang, Guoyan Zheng:
Disentangled Representation Learning For Deep MR To CT Synthesis Using Unpaired Data. 274-278 - Akihiro Fukuda, Changhee Han, Kazumi Hakamada:
Effort-Free Automated Skeletal Abnormality Detection of Rat Fetuses on Whole-Body Micro-Ct Scans. 279-283 - Meghna P. Ayyar, Jenny Benois-Pineau, Akka Zemmari, Gwenaelle Catheline:
Explaining 3D CNNs for Alzheimer's Disease Classification on sMRI Images with Multiple ROIs. 284-288 - Mehryar Abbasi, Parvaneh Saeedi, Jason Au, Jon Havelock:
A Deep Learning Approach for Prediction of IVF Implantation Outcome from Day 3 and Day 5 Time-Lapse Human Embryo Image Sequences. 289-293 - Francesco Rundo, Giuseppe Luigi Banna, Francesca Trenta, Sebastiano Battiato:
Advanced Deep Network with Attention and Genetic-Driven Reinforcement Learning Layer for an Efficient Cancer Treatment Outcome Prediction. 294-298 - Chao Pan, Peiyun Zhou, Jingru Tan, Baoye Sun, Ruoyu Guan, Zhutao Wang, Ye Luo, Jianwei Lu:
Liver Tumor Detection Via A Multi-Scale Intermediate Multi-Modal Fusion Network on MRI Images. 299-303 - Chao Liu, Xiaodong Yang, Dading Chong, Wenwu Wang, Liang Li:
Enhancing Alzheimer's Disease Diagnosis via Hierarchical 3D-FCN with Multi-Modal Features. 304-308 - Armand Comas, Tim K. Marks, Hassan Mansour, Suhas Lohit, Yechi Ma, Xiaoming Liu:
Turnip: Time-Series U-Net With Recurrence For NIR Imaging PPG. 309-313 - Puneet Kumar, Vedanti Khokher, Yukti Gupta, Balasubramanian Raman:
Hybrid Fusion Based Approach for Multimodal Emotion Recognition with Insufficient Labeled Data. 314-318 - Chase J. Gaudet, Anthony S. Maida:
Removing Dimensional Restrictions On Complex/Hyper-Complex Neural Networks. 319-323 - Yuchen Liang, Yuehu Liu:
Adaptive Frequency Hopping Policy for Fast Pose Estimation. 324-328 - Tenta Sasaya, Wataru Watanabe, Toshiyuki Ono:
Depth Correction For Time-Of-Flight Camera Using Depth Distortion Dependency On Pulse Width Of Irradiated Light. 329-333 - Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon:
Improving Classification Accuracy With Graph Filtering. 334-338 - Hong Joo Lee, Yong Man Ro:
Adversarially Robust Multi-Sensor Fusion Model Training Via Random Feature Fusion For Semantic Segmentation. 339-343 - Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle:
2DTPCA: A New Framework for Multilinear Principal Component Analysis. 344-348 - Ilya Kaufman, Ron Shapira Weber, Oren Freifeld:
Cyclic Diffeomorphic Transformer Nets For Contour Alignment. 349-353 - Abrar Wafa, Mahsa T. Pourazad, Panos Nasiopoulos:
Learning-Based Light Field View Synthesis for Efficient Transmission and Storage. 354-358 - Qipin Chen, Zhenyu Shi, Zhen Zuo, Jinmiao Fu, Yi Sun:
Two-Stream Hybrid Attention Network for Multimodal Classification. 359-363 - Keisuke Ozawa, Shinichi Sumiyoshi, Yusuke Sekikawa, Keisuke Uto, Yuichi Yoshida, Mitsuru Ambai:
Snapshot Multispectral Image Completion Via Self-Dictionary Transformed Tensor Nuclear Norm Minimization With Total Variation. 364-368 - Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán:
A Simple, Effective Way To Improve Neural Net Classification: Ensembling Unit Activations With A Sparse Oblique Decision Tree. 369-373 - Takahiko Henmi, Esmeraldo Ronnie Rey Zara, Yoshihiro Hirohashi, Tsuyoshi Kato:
Adaptive Signal Variances: CNN Initialization Through Modern Architectures. 374-378 - Pedro Henrique Martins, Vlad Niculae, Zita Marinho, André F. T. Martins:
Sparse And Structured Visual Attention. 379-383 - Gao Peng, Yong-Lu Li, Hao Zhu, Jiajun Tang, Jin Xia, Cewu Lu:
VVS: Action Recognition With Virtual View Synthesis. 384-388 - Ze Meng, Xin Yao, Lifeng Sun:
Multi-Task Distillation: Towards Mitigating the Negative Transfer in Multi-Task Learning. 389-393 - Teddy Koker, Fatemehsadat Mireshghallah, Tom Titcombe, Georgios Kaissis:
U-Noise: Learnable Noise Masks for Interpretable Image Segmentation. 394-398 - Michael Rotman, Lior Wolf:
Natural Statistics Of Network Activations And Implications For Knowledge Distillation. 399-403 - Thomas Oberlin, Mathieu Verm:
Regularization via Deep Generative Models: an Analysis Point of View. 404-408 - Yongjuan Ma, Yu Wang, Pengfei Zhu, Junwen Pan, Hong Shi:
Get to the Point: Content Classification of Animated Graphics Interchange Formats with Key-Frame Attention. 409-413 - Qiankun Tang, Xiaogang Xu, Jun Wang:
Differentiable Dynamic Channel Association for Knowledge Distillation. 414-418 - Jun-Liang Lin, Yi-Lin Sung, Cheng-Yao Hong, Han-Hung Lee, Tyng-Luh Liu:
The Maximum a Posterior Estimation of Darts. 419-423 - Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán:
Improved Multiclass Adaboost For Image Classification: The Role Of Tree Optimization. 424-428 - Chih-Ting Liu, Man-Yu Lee, Tsai-Shien Chen, Shao-Yi Chien:
Hard Samples Rectification for Unsupervised Cross-Domain Person Re-Identification. 429-433 - Yuan-Chia Cheng, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang:
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains. 434-438 - Pranay Gupta, Divyanshu Sharma, Ravi Kiran Sarvadevabhatla:
Syntactically Guided Generative Embeddings for Zero-Shot Skeleton Action Recognition. 439-443 - Ye Zheng, Li Cui:
Zero-Shot Object Detection With Transformers. 444-448 - Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Deep Active Learning from Multispectral Data Through Cross-Modality Prediction Inconsistency. 449-453 - Ziyun Liang, Yun Gu, Jie Yang:
Hardmix: A Regularization Method to Mitigate the Large Shift in Few-Shot Domain Adaptation. 454-458 - Kai Katsumata, Ikki Kishida, Ayako Amma, Hideki Nakayama:
Open-Set Domain Generalization VIA Metric Learning. 459-463 - Hyojun Go, Junyoung Byun, Changick Kim:
Rethinking Training Schedules For Verifiably Robust Networks. 464-468 - Jinsol Lee, Ghassan AlRegib:
Open-Set Recognition With Gradient-Based Representations. 469-473 - Yuanyuan Liu, Ziyang Liu, Fang Fang, Zhanghua Fu, Zhanlong Chen:
Hierarchical Domain-Consistent Network For Cross-Domain Object Detection. 474-478 - Chun-Hsien Lin, Bing-Fei Wu:
Domain Adapting Ability Of Self-Supervised Learning For Face Recognition. 479-483 - Won Park, Nan Liu, Qi Alfred Chen, Z. Morley Mao:
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models. 484-488 - Shin'ya Yamaguchi, Sekitoshi Kanai, Tetsuya Shioda, Shoichiro Takeda:
Image Enhanced Rotation Prediction for Self-Supervised Learning. 489-493 - Cheng Yu, Youze Xue, Jiansheng Chen, Yu Wang, Huimin Ma:
Enhancing Adversarial Robustness For Image Classification By Regularizing Class Level Feature Distribution. 494-498 - Wenjing Wang, Lilang Lin, Zejia Fan, Jiaying Liu:
Semi-Supervised Learning for Mars Imagery Classification. 499-503 - Jiawei Ma, Xiaoyu Tao, Jianxing Ma, Xiaopeng Hong, Yihong Gong:
Class Incremental Learning for Video Action Classification. 504-508 - Hyojun Go, Junyoung Byun, Byeongjun Park, Myung-Ae Choi, Seunghwa Yoo, Changick Kim:
Fine-Grained Multi-Class Object Counting. 509-513 - Shek Wai Chu, Chaoyi Zhang, Yang Song, Tom Weidong Cai:
Iterative Subnetwork With Linear Hierarchical Ordering for Human Pose Estimation. 514-518 - Muhammad Haris, Mathias Franzius, Ute Bauer-Wersing:
Unsupervised Fast Visual Localization and Mapping with Slow Features. 519-523 - Gozde Sahin, Laurent Itti:
Multi-Task Occlusion Learning for Real-Time Visual Object Tracking. 524-528 - Jinhyung Park, Yi-Chun Chen, Yu-Jhe Li, Kris Kitani:
Crack Detection and Refinement Via Deep Reinforcement Learning. 529-533 - Sunjae Yoon, Dahyun Kim, Ji Woo Hong, Junyeong Kim, Kookhoi Kim, Chang D. Yoo:
Weakly-Supervised Moment Retrieval Network for Video Corpus Moment Retrieval. 534-538 - Yadong Lu, Yinhao Zhu, Yang Yang, Amir Said, Taco S. Cohen:
Progressive Neural Image Compression With Nested Quantization And Latent Ordering. 539-543 - Peixiao Zheng, Xin Guo, Lin Qi:
Edge-Labeling Based Directed Gated Graph Network for Few-Shot Learning. 544-548 - Mengjiong Bai, Roland Goecke, Damith C. Herath:
Micro-Expression Recognition Based On Video Motion Magnification And Pre-Trained Neural Network. 549-553 - Lanqing Guo, Renjie Wan, Guan-Ming Su, Alex C. Kot, Bihan Wen:
Multi-Scale Feature Guided Low-Light Image Enhancement. 554-558 - Tianyu Chen, Guoqiang Xiao, Xiaoqin Tang, Xianfeng Han, Wenzhuo Ma, Xinye Gou:
Cascade Attention Blend Residual Network For Single Image Super-Resolution. 559-563 - Gang Hu, Conner Saeli:
Scale-Invariant Salient Edge Detection. 564-568 - Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan:
Two-Stage Domain Adapted Training For Better Generalization In Real-World Image Restoration And Super-Resolution. 569-573 - Younkwan Lee, Heongjun Yoo, Moongu Jeon:
Learning To Disentangle Representations For Rain Streak Removal. 574-578 - Yongli Chang, Sumei Li, Anqi Liu:
Quality Assessment of Screen Content Images Based on Convolutional Neural Network with Dual Pathways. 579-583 - Keita Awane, Koki Tsubota, Hikaru Ikuta, Yusuke Matsui, Kiyoharu Aizawa, Naohiro Yanase:
Improving The Quality Of Illustrations: Transforming Amateur Illustrations To A Professional Standard. 584-588 - Onur Keles, A. Murat Tekalp, Junaid Malik, Serkan Kiranyaz:
Self-Organized Residual Blocks For Image Super-Resolution. 589-593 - Krishanu Sarker, Xiulong Yang, Yang Li, Saeid Belkasim, Shihao Ji:
A Unified Density-Driven Framework For Effective Data Denoising And Robust Abstention. 594-598 - João Dick, Brunno Abreu, Mateus Grellert, Sergio Bampi:
Quality and Complexity Assessment of Learning-Based Image Compression Solutions. 599-603 - Sijing Wu, Huiyu Duan, Xiongkuo Min, Danyang Tu, Guangtao Zhai:
Accurate Compensation Makes the World More Clear for the Visually Impaired. 604-608 - Xiaoliu Luo, Taiping Zhang:
Graph Affinity Network for Few-Shot Segmentation. 609-613 - Christopher B. Kuhn, Markus Hofbauer, Ziqin Xu, Goran Petrovic, Eckehard G. Steinbach:
Pixel-Wise Failure Prediction For Semantic Video Segmentation. 614-618 - Shungo Tsutsui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Semantic Segmentation And Change Detection By Multi-Task U-Net. 619-623 - Junxiao Sun, Yan Zhang, Jian Zhu, Jiasong Wu, Youyong Kong:
Semi-Supervised Medical Image Semantic Segmentation with Multi-scale Graph Cut Loss. 624-628 - Hongchao Lu, Chao Wei, Zhidong Deng:
Learning With Memory For Few-Shot Semantic Segmentation. 629-633 - Pengcheng Pi, Ziyu Jiang, Zixiang Xiong:
Learning Skip Map For Efficient Ultra-High Resolution Image Segmentation. 634-638 - Sanghyun Jo, In-Jae Yu:
Puzzle-CAM: Improved Localization Via Matching Partial And Full Features. 639-643 - Mengyu Liu, Hujun Yin:
Sparse Spatial Attention Network For Semantic Segmentation. 644-648 - Jigyasa Singh Katrolia, Lars Krämer, Jason R. Rambach, Bruno Mirbach, Didier Stricker:
Semantic Segmentation in Depth Data: A Comparative Evaluation of Image and Point Cloud Based Methods. 649-653 - Christoffer P. Simonsen, Frederik M. Thiesson, Mark P. Philipsen, Thomas B. Moeslund:
Generalizing Floor Plans Using Graph Neural Networks. 654-658 - Zhongjie Mao, Xi Chen, Yucheng Wang, Jia Yan:
Robust Tracking For Motion Blur Via Context Enhancement. 659-663 - Liang Xu, Ruixin Niu:
Tracking Visual Object As An Extended Target. 664-668 - Ming Zhang, Shuaicheng Liu, Bing Zeng:
Hierarchical Region Proposal Refinement Network for Weakly Supervised Object Detection. 669-673 - Yu Wang, Ye Zhang, Shaohua Zhai, Hao Chen, Shaoqi Shi, Gang Wang:
Deep Sensor Fusion Based on Frustum Point Single Shot Multibox Detector for 3D Object Detection. 674-678 - Wenqi Che, Luoyi Sun, Zhifeng Xie, Youdong Ding, Kaili Han:
Multi-Scale Graph Convolutional Interaction Network For Salient Object Detection. 679-683 - Azim Ahmadzadeh, Dustin J. Kempton, Yang Chen, Rafal A. Angryk:
Multiscale IOU: A Metric for Evaluation of Salient Object Detection with Fine Structures. 684-688 - Rui Su, Wenjing Huang, Haoyu Ma, Xiaowei Song, Jinglu Hu:
SGE NET: Video Object Detection with Squeezed GRU and Information Entropy Map. 689-693 - Axel Vierling, Charu James, Karsten Berns, Nikoletta Katsaouni:
Provable Translational Robustness For Object Detection With Convolutional Neural Networks. 694-698 - Jun Chen, HongSheng Mai, Linbo Luo, Xiaoqiang Chen, Kangle Wu:
Effective Feature Fusion Network in BIFPN for Small Object Detection. 699-703 - Timon Höfer, Faranak Shamsafar, Nuri Benbarka, Andreas Zell:
Object Detection And Autoencoder-Based 6d Pose Estimation For Highly Cluttered Bin Picking. 704-708 - Peng Kang, Hao Hu, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt:
Human Vision-Like Robust Object Recognition. 709-713 - Julia Cohen, Carlos Fernando Crispim Junior, Jean-Marc Chiappa, Laure Tougne:
Training An Embedded Object Detector For Industrial Settings Without Real Images. 714-718 - Jihun Yoon, Seungbum Hong, Min-Kook Choi:
Semi-Supervised Object Detection With Sparsely Annotated Dataset. 719-723 - Shengxiong Ouyang, Xinglu Wang, Kejie Lyu, Yingming Li:
Pseudo-Label Generation-Evaluation Framework For Cross Domain Weakly Supervised Object Detection. 724-728 - Tomoya Sawada, Teng-Yok Lee, Masahiro Mizuno:
Bottom-Up Saliency Meets Top-Down Semantics For Object Detection. 729-733 - Cheng Feng, Chaoliang Zhong, Jie Wang, Jun Sun, Yasuto Yokota:
EBB: Progressive Optimization For Partial Domain Adaptation. 734-738 - Minki Jeong, Changick Kim:
A Parameter Efficient Multi-Scale Capsule Network. 739-743 - Jialiang Tang, Ning Jiang, Wenxin Yu:
Gradient Local Binary Pattern For Convolutional Neural Networks. 744-748 - Fei Ye, Adrian G. Bors:
InfoVAEGAN: Learning Joint Interpretable Representations by Information Maximization and Maximum Likelihood. 749-753 - Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak K. Gupta:
Rescaling CNN Through Learnable Repetition of Network Parameters. 754-758 - Attila Lengyel, Jan van Gemert:
Exploiting Learned Symmetries in Group Equivariant Convolutions. 759-763 - Juepeng Zheng, Wenzhao Wu, Yi Zhao, Haohuan Fu:
Transresnet: Transferable Resnet For Domain Adaptation. 764-768 - Qian Wang, Toby P. Breckon:
Source Class Selection With Label Propagation For Partial Domain Adaptation. 769-773 - Min Zhu, Bao-Di Liu, Weifeng Liu, Kai Zhang, Ye Li, Xiaoping Lu:
Affine Non-Negative Collaborative Representation for Deep Metric Learning. 774-778 - Jin Kim, Jiyoung Lee, Jungin Park, Dongbo Min, Kwanghoon Sohn:
Self-Balanced Learning for Domain Generalization. 779-783 - Youshan Zhang, Brian D. Davison:
Enhanced Separable Disentanglement for Unsupervised Domain Adaptation. 784-788 - Robin Dupont, Hichem Sahbi, Guillaume Michel:
Weight Reparametrization for Budget-Aware Network Pruning. 789-793 - Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Qiao ZhongZheng, Ponnuthurai N. Suganthan, Savitha Ramasamy, Arulmurugan Ambikapathi:
Task-Agnostic Continual Learning Using Base-Child Classifiers. 794-798 - Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Ben Glocker, Emil C. Lupu:
Universal Adversarial Robustness of Texture and Shape-Biased Models. 799-803 - Weiheng Chai, Yantao Lu, Senem Velipasalar:
Weighted Average Precision: Adversarial Example Detection for Visual Perception Of Autonomous Vehicles. 804-808 - Yantao Lu, Xueying Du, Bingkun Sun, Haining Ren, Senem Velipasalar:
Fabricate-Vanish: An Effective And Transferable Black-Box Adversarial Attack Incorporating Feature Distortion. 809-813 - Joong-won Hwang, Youngwan Lee, Sungchan Oh, Yuseok Bae:
Adversarial Training With Stochastic Weight Average. 814-818 - Yankun Ren, Longfei Li, Jun Zhou:
Simtrojan: Stealthy Backdoor Attack. 819-823 - Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Intelligent and Adaptive Mixup Technique for Adversarial Robustness. 824-828 - Apostolos Modas, Alessio Xompero, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro:
Improving Filling Level Classification with Adversarial Training. 829-833 - Bryan G. Cardenas, Devanshu Arya, Deepak K. Gupta:
Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects. 834-838 - Tomoya Kaichi, Yuko Ozasa:
A Hyperspectral Approach For Unsupervised Spoof Detection With Intra-Sample Distribution. 839-843 - Yu Zheng, Senem Velipasalar:
Part-Based Feature Squeezing To Detect Adversarial Examples in Person Re-Identification Networks. 844-848 - Bo-Han Kung, Pin-Chun Chen, Yu-Cheng Liu, Jun-Cheng Chen:
Squeeze And Reconstruct: Improved Practical Adversarial Defense Using Paired Image Compression And Reconstruction. 849-853 - Alexis R. Tudor, Gunner Stone, Alireza Tavakkoli, Emily M. Hand:
Classification of RIGID and Non-Rigid Transformations with Autoencoder Representations. 854-858 - Youneng Bao, Chao Li, Fanyang Meng, Yongsheng Liang, Wei Liu, Kaiyu Liu:
Mbb: A Multi-Scale Method For Data Based On Bit Plane Slicing. 859-863 - Satoshi Suzuki, Shoichiro Takeda, Ryuichi Tanida, Hideaki Kimata, Hayaru Shouno:
Knowledge Transferred Fine-Tuning for Anti-Aliased Convolutional Neural Network in Data-Limited Situation. 864-868 - Tianshu Chu, Zuopeng Yang, Jie Yang, Xiaolin Huang:
Improving The Robustness Of Convolutional Neural Networks Via Sketch Attention. 869-873 - Habib Ullah, Tawsin Uddin Ahmed, Mohib Ullah, Faouzi Alaya Cheikh:
IR-SSL: Improved Regularization Based Semi-Supervised Learning For Land Cover Classification. 874-878 - Zhenduo Chen, Feng Liu, Zhenglai Zhao:
Let Them Choose What They Want: A Multi-Task CNN Architecture Leveraging Mid-Level Deep Representations for Face Attribute Classification. 879-883 - Shiksha Mishra, Puspita Majumdar, Richa Singh, Mayank Vatsa:
Indian Masked Faces in the Wild Dataset. 884-888 - Yangtao Du, Dingkang Yang, Peng Zhai, Mingchen Li, Lihua Zhang:
Learning Associative Representation for Facial Expression Recognition. 889-893 - Nanxi Wang, Zhongyuan Wang, Zheng He, Baojin Huang, Liguo Zhou, Zhen Han:
A Tilt-Angle Face Dataset And Its Validation. 894-898 - Jonghyun Kim, Gen Li, Cheolkon Jung, Joongkyu Kim:
Progressive Face Super-Resolution with Non-Parametric Facial Prior Enhancement. 899-903 - Takashi Shibata, Masayuki Tanaka, Masatoshi Okutomi:
Geometric Data Augmentation Based On Feature Map Ensemble. 904-908 - Wuqiang Zhang, Zijie Guo, Rong Zhi, Baofeng Wang:
Deep Active Learning For Human Pose Estimation Via Consistency Weighted Core-Set Approach. 909-913 - Jiahua Wu, Hyo Jong Lee:
Partitioned Centerpose Network for Bottom-Up Multi-Person Pose Estimation. 914-918 - Amin Ansarian, Maria A. Amer:
Realistic Augmentation For Effective 2d Human Pose Estimation Under Occlusion. 919-923 - Soubarna Banik, Alejandro Mendoza García, Alois C. Knoll:
3D Human Pose Regression Using Graph Convolutional Network. 924-928 - Deng Li, Yue Wu, Yicong Zhou:
Linecounter: Learning Handwritten Text Line Segmentation By Counting. 929-933 - Tung Le, Huy Tien Nguyen, Minh Le Nguyen:
Vision And Text Transformer For Predicting Answerability On Visual Question Answering. 934-938 - Yizhan Zhao, Sumei Li, Yueyang Li:
Semantic-Compensated and Attention-Guided Network for Scene Text Detection. 939-943 - Syed Talha Abid Ali, Abdul Hakeem Usama, Ishtiaq Rasool Khan, Muhammad Murtaza Khan, Asif Siddiq:
Mobile Registration Number Plate Recognition Using Artificial Intelligence. 944-948 - George Retsinas, Giorgos Sfikas, Christophoros Nikou, Petros Maragos:
Deformation-Invariant Networks For Handwritten Text Recognition. 949-953 - Yizhang Huang, Kun Fang, Xiaolin Huang, Jie Yang:
ADVMIX: Data Augmentation for Accurate Scene Text Spotting. 954-958 - Alfred Laugros, Alice Caplier, Matthieu Ospici:
Using the Overlapping Score to Improve Corruption Benchmarks. 959-963 - Kevin Lin, Lijuan Wang, Ying Jin, Zicheng Liu, Ming-Ting Sun:
Learning Nonparametric Human Mesh Reconstruction From A Single Image Without Ground Truth Meshes. 964-968 - Lijuan Duan, Jun Zeng, Junbiao Pang, Junzhe Wang:
Pavement Crack Detection Using Multi-stage Structural Feature Extraction Model. 969-973 - Ning Li, Kaitao Jiang, Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong:
Anomaly Detection Via Self-Organizing Map. 974-978 - Qingyang Yu, Lei Chu, Qi Wu, Ling Pei:
Grayscale And Normal Guided Depth Completion With A Low-Cost Lidar. 979-983 - Igor Morawski, Wen-Nung Lie, Jui-Chiu Chiang:
Action Prediction Using Extremely Low-Resolution Thermopile Sensor Array For Elderly Monitoring. 984-988 - Aitor Artola, Yannis Kolodziej, Jean-Michel Morel, Thibaud Ehret:
Unsupervised Variability Normalization For Anomaly Detection. 989-993 - Aline Sindel, Andreas K. Maier, Vincent Christlein:
Craquelurenet: Matching The Crack Structure In Historical Paintings For Multi-Modal Image Registration. 994-998 - Minyang Jiang, Jianzhe Lin, Z. Jane Wang:
ShuffleCount: Task-Specific Knowledge Distillation for Crowd Counting. 999-1003 - Jingran Su, Yang Zhao, Xuelong Li:
Progressive Spatio-Temporal Feature Extraction Model For Gait Recognition. 1004-1008 - Mohammadreza Sadeghi, Narges Armanfard:
IDECF: Improved Deep Embedding Clustering With Deep Fuzzy Supervision. 1009-1013 - Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Correlation-Aware Attention Branch Network Using Multi-Modal Data For Deterioration Level Estimation Of Infrastructures. 1014-1018 - Jerome Quenum, Kehan Wang, Avideh Zakhor:
Fast, Accurate Barcode Detection in Ultra High-Resolution Images. 1019-1023 - Yilei Chen, Guoping Wang, Ping An, Zhixiang You, Xinpeng Huang:
Fast And Accurate Homography Estimation Using Extendable Compression Network. 1024-1028 - Sirin Haddad, Siew-Kei Lam:
Self-Growing Spatial Graph Network for Context-Aware Pedestrian Trajectory Prediction. 1029-1033 - Junhan Peng, Jia Su, Yongqing Sun, Zheng Wang, Chia-Wen Lin:
Semantic Nighttime Image Segmentation Via Illumination and Position Aware Domain Adaptation. 1034-1038 - Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Deep Metric Network Via Heterogeneous Semantics for Image Sentiment Analysis. 1039-1043 - Jun Wang, Xiaohan Yu, Yongsheng Gao:
Mask Guided Attention For Fine-Grained Patchy Image Classification. 1044-1048 - Md Jibanul Haque Jiban, Shah Hassan, Abhijit Mahalanobis:
Two-Stream Boosted TCRNet for Range-Tolerant Infra-Red Target Detection. 1049-1053 - Dongyun Lin, Yiqun Li, Shitala Prasad, Tin Lay Nwe, Sheng Dong, Zaw Min Oo:
Cam-Guided U-Net With Adversarial Regularization For Defect Segmentation. 1054-1058 - Mei Chee Leong, Hui Li Tan, Haosong Zhang, Liyuan Li, Feng Lin, Joo Hwee Lim:
Joint Learning on the Hierarchy Representation for Fine-Grained Human Action Recognition. 1059-1063 - Wen-Nung Lie, Yong-Jhu Huang, Jui-Chiu Chiang, Zhen-Yu Fang:
High-Order Joint Information Input For Graph Convolutional Network Based Action Recognition. 1064-1068 - Yuyuan Yang, Ya-Li Hou, Zhijiang Hou, Xiaoli Hao, Yan Shen:
Image-Level Supervised Instance Segmentation Using Instance-Wise Boundary. 1069-1073 - Pratyusha Das, Antonio Ortega, Siheng Chen, Hassan Mansour, Anthony Vetro:
Application-Agnostic Spatio-Temporal Hand Graph Representations For Stable Activity Understanding. 1074-1078 - Maliha Arif, Abhijit Mahalanobis:
Few Shot Learning For Infra-Red Object Recognition Using Analytically Designed Low Level Filters For Data Representation. 1079-1083 - Manisha Verma, Yuta Nakashima, Hirokazu Kobori, Ryota Takaoka, Noriko Takemura, Tsukasa Kimura, Hajime Nagahara, Masayuki Numao, Kazumitsu Shinohara:
Learners' Efficiency Prediction Using Facial Behavior Analysis. 1084-1088 - Bo Jiang, Jiahong Yu, Lei Zhou, Kailin Wu, Yang Yang:
Two-Pathway Transformer Network for Video Action Recognition. 1089-1093 - Jordy Ajanohoun, Eric Paquette, Carlos Vázquez:
Multi-View Human Model Fitting Using Bone Orientation Constraint and Joints Triangulation. 1094-1098 - Adam Cuellar, Abhijit Mahalanobis:
Detection of Small Moving Ground Vehicles in Cluttered Terrain Using Infrared Video Imagery. 1099-1103 - Markus Müller, Georg Poier, Horst Possegger, Horst Bischof:
Semi-Supervised Learning Of Monocular 3D Hand Pose Estimation From Multi-View Images. 1104-1108 - Chao Wei, Ke Lu, Wei Gan, Jian Xue:
Spatiotemporal Features and Local Relationship Learning for Facial Action Unit Intensity Regression. 1109-1113 - Yang Zhen, Yuanfang Guo, Jinjie Wei, Xiuguo Bao, Di Huang:
Multi-Scale Background Suppression Anomaly Detection In Surveillance Videos. 1114-1118 - Chih-Wei Lin, Suhui Yang:
Geospatial-Temporal Convolutional Neural Network for Video-Based Precipitation Intensity Recognition. 1119-1123 - Chin-Hsuan Shih, Wen-Jiin Tsai:
Hierarchical Embedding Guided Network for Video Object Segmentation. 1124-1128 - Fabian Herzog, Xunbo Ji, Torben Teepe, Stefan Hörmann, Johannes Gilg, Gerhard Rigoll:
Lightweight Multi-Branch Network For Person Re-Identification. 1129-1133 - Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yi Da Xu:
Resolution-Invariant Person Reid Based On Feature Transformation And Self-Weighted Attention. 1134-1138 - Qing Tang, Kang-Hyun Jo:
Unsupervised Person Re-Identification Via Nearest Neighbor Collaborative Training Strategy. 1139-1143 - Chiat-Pin Tay, Kim-Hui Yap:
APNET: Attribute Parsing Network for Person Re-Identification. 1144-1148 - Yunzhou Cheng, Guoqiang Xiao, Xiaoqin Tang, Wenzhuo Ma, Xinye Gou:
Two-Phase Feature Fusion Network For Visible-Infrared Person Re-Identification. 1149-1153 - Mohamed Dhia Elhak Besbes, Hedi Tabia, Yousri Kessentini, Bassem Ben Hamed:
Progressive Learning With Anchoring Regularization For Vehicle Re-Identification. 1154-1158 - Cheng-Yo Tan, Chiao-An Yang, Shang-Fu Chen, Meng-Lin Wu, Yu-Chiang Frank Wang:
Robust Image Outpainting With Learnable Image Margins. 1159-1163 - Sungjoon Yoon, Kyujin Shim, Kayoung Park, Changick Kim:
Weakly-Supervised Multiple Object Tracking Via A Masked Center Point Warping Loss. 1164-1168 - Shang-Fu Chen, Jia-Wei Yan, Ya-Fan Su, Yu-Chiang Frank Wang:
Representation Decomposition For Image Manipulation And Beyond. 1169-1173 - Jiangshan Sun, Taiping Zhang:
RGB-Infrared Person Re-Identification Via Multi-Modality Relation Aggregation and Graph Convolution Network. 1174-1178 - Chenglei Wu, Zhi Wang, Lifeng Sun:
A Spherical Mixture Model Approach for 360 Video Virtual Cinematography. 1179-1183 - Zhihao Guan, Zidong Guo, Jie Lyu, Zejian Yuan:
Defect Inspection using Gravitation Loss and Soft Labels. 1184-1188 - Takasuke Nagai, Shoichiro Takeda, Masaaki Matsumura, Shinya Shimizu, Susumu Yamamoto:
Action Quality Assessment With Ignoring Scene Context. 1189-1193 - Hanhe Lin, Guangan Chen, Felix Wilhelm Siebert:
Positional Encoding: Improving Class-Imbalanced Motorcycle Helmet use Classification. 1194-1198 - Vikanksh Nath, Chiranjoy Chattopadhyay:
S2D2Net: An Improved Approach For Robust Steel Surface Defects Diagnosis With Small Sample Learning. 1199-1203 - Weixin Jiang, Eric Schwenker, Trevor Spreadbury, Nicola J. Ferrier, Maria K. Y. Chan, Oliver Cossairt:
A Two-Stage Framework for Compound Figure Separation. 1204-1208 - Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Interest Level Estimation via Multi-Modal Gaussian Process Latent Variable Factorization. 1209-1213 - Yutong Wang, Gen Li, Qi Zhang, Joongkyu Kim, Huifang Li:
Perspective-Aware Density Regression For Crowd Counting. 1214-1218 - Shengtai Ju, Marisa A. Erasmus, Fengqing Zhu, Amy R. Reibman:
Turkey Behavior Identification Using Video Analytics And Object Tracking. 1219-1223 - Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon:
On the Impact of Using X-Ray Energy Response Imagery for Object Detection Via Convolutional Neural Networks. 1224-1228 - Yeon-Gyu Kim, Hyunsu Kim, Minseok Kang, Hyug Jae Lee, Rokkyu Lee, Gunhan Park:
Analysis of the Novel Transformer Module Combination for Scene Text Recognition. 1229-1233 - Zirui Zhu, Lifeng Sun:
Federated Trace: A Node Selection Method for More Efficient Federated Learning. 1234-1238 - Yawen Cui, Wuti Xiong, Mohammad Tavakolian, Li Liu:
Semi-Supervised Few-Shot Class-Incremental Learning. 1239-1243 - Yifan Chen, Yang Zhao, Xuelong Li:
Effective Gait Feature Extraction Using Temporal Fusion And Spatial Partial. 1244-1248 - Rishabh Singh:
Bias: Bijective Input And Surjectivity In Zero Shot Learning. 1249-1253 - Onkar Krishna, Go Irie, Xiaomeng Wu, Akisato Kimura, Kunio Kashino:
Deep Reinforcement Image Matching with Self-Termination. 1254-1258 - Lingjun Zhao, Wanxia Deng, Gangyao Kuang, Dewen Hu, Li Liu:
Transferable Discriminative Feature Mining For Unsupervised Domain Adaptation. 1259-1263 - Ogul Can, Yeti Ziya Gürbüz, A. Aydin Alatan:
Deep Metric Learning With Alternating Projections Onto Feasible Sets. 1264-1268 - Haeyong Kang, Thang Vu, Chang D. Yoo:
Learning Imbalanced Datasets With Maximum Margin Loss. 1269-1273 - Edward Fish, Jon Weinbren, Andrew Gilbert:
Rethinking Genre Classification With Fine Grained Semantic Clustering. 1274-1278 - Kaan Karaman, A. Aydin Alatan:
Metu Loss: Metric Learning With Entangled Triplet Unified Loss. 1279-1283 - Nihar Bendre, Kevin Desai, Peyman Najafirad:
Generalized Zero-Shot Learning Using Multimodal Variational Auto-Encoder With Semantic Concepts. 1284-1288 - Fei Ye, Adrian G. Bors:
Lifelong Twin Generative Adversarial Networks. 1289-1293 - Donghyun Lee, Minkyoung Cho, Seungwon Lee, Joonho Song, Changkyu Choi:
A Novel Sensitivity Metric For Mixed-Precision Quantization With Synthetic Data Generation. 1294-1298 - Taewoo Kim, Chaeyeon Chung, Sunghyun Park, Gyojung Gu, Keonmin Nam, Wonzo Choe, Jaesung Lee, Jaegul Choo:
K-Hairstyle: A Large-Scale Korean Hairstyle Dataset For Virtual Hair Editing And Hairstyle Classification. 1299-1303 - Ryosuke Hori, Ryo Hachiuma, Hideo Saito, Mariko Isogawa, Dan Mikami:
Silhouette-Based Synthetic Data Generation For 3D Human Pose Estimation With A Single Wrist-Mounted 360° Camera. 1304-1308 - Benjamin Conrad, Pei-I Chen:
Two-Stage Seamless Text Erasing On Real-World Scene Images. 1309-1313 - Marcos Vendramini, Hugo N. Oliveira, Alexei M. C. Machado, Jefersson A. dos Santos:
Opening Deep Neural Networks With Generative Models. 1314-1318 - Catherine Ordun, Edward Raff, Sanjay Purushotham:
Generating Thermal Human Faces for Physiological Assessment using Thermal Sensor Auxiliary Labels. 1319-1323 - Wanling Fan, Jiayuan Fan, Gang Yu, Bin Fu, Tao Chen:
HSEGAN: Hair Synthesis and Editing Using Structure-Adaptive Normalization on Generative Adversarial Network. 1324-1328 - Ming Chen, Guijin Wang, Jing-Hao Xue, Zijian Ding, Li Sun:
Enhance Via Decoupling: Improving Multi-Label Classifiers With Variational Feature Augmentation. 1329-1333 - Burak Satar, Hongyuan Zhu, Xavier Bresson, Joo Hwee Lim:
Semantic Role Aware Correlation Transformer For Text To Video Retrieval. 1334-1338 - Chiao-An Yang, Zhixiang Wang, Yen-Yu Lin, Yung-Yu Chuang:
Soft Ranking Threshold Losses For Image Retrieval. 1339-1343 - Jie Cai, Zibo Meng, Ahmed-Shehab Khan, James O'Reilly, Zhiyuan Li, Shizhong Han, Yan Tong:
Identity-Free Facial Expression Recognition Using Conditional Generative Adversarial Network. 1344-1348 - Jiaqing Qiao, Shaowei Sun, Mingzhu Xu, Yongqiang Li, Bing Liu:
Co-Saliency Detection Via Unified Hierarchical Graph Neural Network With Geometric Attention. 1349-1353 - Xuqian Ren, Yifan Liu, Chunlei Song:
A Generative Adversarial Framework For Optimizing Image Matting And Harmonization Simultaneously. 1354-1358 - Nithin Gopalakrishnan Nair, Vishal M. Patel:
Confidence Guided Network For Atmospheric Turbulence Mitigation. 1359-1363 - Yuelong Li, Tongshun Zhang, Jianming Wang:
Spmpg: Robust Person Image Generation With Semantic Parsing Map. 1364-1368 - Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya:
Multi-Color Balance For Color Constancy. 1369-1373 - Nathan Magro, Alexandra Bonnici, Stefania Cristina:
Hyperspectral Image Segmentation For Paint Analysis. 1374-1378 - Yuma Kinoshita, Hitoshi Kiya:
Separated-Spectral-Distribution Estimation Based on Bayesian Inference with Single RGB Camera. 1379-1383 - Jiayin Liu, Jan P. Allebach:
Screen-Based Watermarking Of Aperiodic, Clustered-Dot Halftones. 1384-1388 - Junyong You, Jari Korhonen:
Transformer For Image Quality Assessment. 1389-1393 - Parima Jain, Gitam Shikkenawis, Suman K. Mitra:
Natural Scene Statistics And CNN Based Parallel Network For Image Quality Assessment. 1394-1398 - Sören Becker, Thomas Wiegand, Sebastian Bosse:
Curiously Effective Features For Image Quality Prediction. 1399-1403 - Yoshiaki Shishikui:
Quality-Of-Experience Evaluation of 8K Ultra-High-Definition Television. 1404-1408 - Zhengzhong Tu, Chia-Ju Chen, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik:
Video Quality Assessment of User Generated Content: A Benchmark Study and a New Model. 1409-1413 - Fuwang Yi, Mianyi Chen, Wei Sun, Xiongkuo Min, Yuan Tian, Guangtao Zhai:
Attention Based Network For No-Reference UGC Video Quality Assessment. 1414-1418 - Y. Jin, Todd Goodall, Anjul Patney, R. Webb, Alan C. Bovik:
A Foveated Video Quality Assessment Model Using Space-Variant Natural Scene Statistics. 1419-1423 - Zhe Li, Bingrui Geng, Xiaoming Tao, Yiping Duan, Dingcheng Gao, Shuzhan Hu:
Video Quality Measurement For Buffering Time Based On EEG Frequency Feature. 1424-1428 - Yuqin Cao, Xiongkuo Min, Wei Sun, Guangtao Zhai:
Deep Neural Networks For Full-Reference And No-Reference Audio-Visual Quality Assessment. 1429-1433 - Salima Bourbia, Ayoub Karine, Aladine Chetouani, Mohammed El Hassouni:
A Multi-Task Convolutional Neural Network For Blind Stereoscopic Image Quality Assessment Using Naturalness Analysis. 1434-1438 - Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Faouzi Alaya Cheikh:
Perceptually-Weighted Cnn For 360-Degree Image Quality Assessment Using Visual Scan-Path And Jnd. 1439-1443 - Zhouyan He, Gangyi Jiang, Zhidi Jiang, Mei Yu:
Towards A Colored Point Cloud Quality Assessment Method Using Colored Texture And Curvature Projection. 1444-1448 - Zhixiang Duan, Guangxin Li, Guoliang Fan:
An Effective Sharpness Assessment Method For Shallow Depth-Of-Field Images. 1449-1453 - Zhengzhong Tu, Chia-Ju Chen, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik:
A Temporal Statistics Model For UGC Video Quality Prediction. 1454-1458 - Pengfei Guo, Xin Zhao, Delu Zeng, Hantao Liu:
A Metric For Quantifying Image Quality Induced Saliency Variation. 1459-1463 - Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani, Rachid Harba:
Salypath: A Deep-Based Architecture For Visual Attention Prediction. 1464-1468 - Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Few-Shot Personalized Saliency Prediction using Person Similarity based on Collaborative Multi-Output Gaussian Process Regression. 1469-1473 - Jianxun Lou, Xin Zhao, Philippa Young, Richard White, Hantao Liu:
Study of Saccadic Eye Movements in Diagnostic Imaging. 1474-1478 - Tianpei Lian, Zhiguo Cao, Ke Xian, Zhiyu Pan, Weicai Zhong:
Context-Aware Candidates for Image Cropping. 1479-1483 - Juan Carlos Mier, Eddie Huang, Hossein Talebi, Feng Yang, Peyman Milanfar:
Deep Perceptual Image Quality Assessment for Compression. 1484-1488 - Yeshwanth Ravi Theja Bethi, Sathyaprakash Narayanan, Venkat Rangan, Anirban Chakraborty, Chetan Singh Thakur:
Real-Time Object Detection and Localization in Compressive Sensed Video. 1489-1493 - Lanqing Liu, Zhenyu Duan, Guozheng Xu, Yi Xu:
Self-Supervised Disentangled Embedding For Robust Image Classification. 1494-1498 - Dichao Liu, Yu Wang, Kenji Mase, Jien Kato:
Attention-Based Multi-Task Learning For Fine-Grained Image Classification. 1499-1503 - Yue Yu, Yang Yang, Kezhao Liu:
Edge-Aware Superpixel Segmentation with Unsupervised Convolutional Neural Networks. 1504-1508 - Beril Besbinar, Pascal Frossard:
Self-Supervision By Prediction For Object Discovery In Videos. 1509-1513 - Yancong Lin, Silvia-Laura Pintea, Jan van Gemert:
Semi-Supervised Lane Detection With Deep Hough Transform. 1514-1518 - Lingyun Gu, Lin Zhang, Zhaokui Wang:
A One-Shot Texture-Perceiving Generative Adversarial Network for Unsupervised Surface Inspection. 1519-1523 - Song Wang, Xin Guo, Yun Tie, Lin Qi, Ling Guan:
Local Feature Descriptors with Deep Hypersphere Learning. 1524-1528 - Jie Wang, Chaoliang Zhong, Cheng Feng, Jun Sun, Masaru Ide, Yasuto Yokota:
Dual-Consistency Self-Training For Unsupervised Domain Adaptation. 1529-1533 - Shuqin Wang, Yongyong Chen, Yigang Ce, Linna Zhang, Viacheslav V. Voronin:
Low-Rank And Sparse Tensor Representation For Multi-View Subspace Clustering. 1534-1538 - Yuchen He, Sung Ha Kang, Jean-Michel Morel:
Accurate Silhouette Vectorization by Affine Scale-Space. 1539-1543 - Ying Zheng, Yiyi Zhang, Xiaogang Xu, Jun Wang, Hongxun Yao:
Visual Chirality Meets Freehand Sketches. 1544-1548 - Zhaolin Xiao, Meng Zhang, Haiyan Jin, Christine Guillemot:
A Light Field FDL-HSIFT Feature in Scale-Disparity Space. 1549-1553 - Simon Grosche, Jürgen Seiler, André Kaup:
Novel Consistency Check For Fast Recursive Reconstruction Of Non-Regularly Sampled Video Data. 1554-1558 - Ünal Sakoglu:
An Algebraic Nonuniformity Correction Algorithm for Hexagonally-Sampled Infrared Images: A Simulation Study. 1559-1563 - Jiwoo Kang, Seongmin Lee, Mingyu Jang, Hyunse Yoon, Sanghoon Lee:
WarpingFusion: Accurate Multi-View TSDF Fusion with Local Perspective Warp. 1564-1568 - Giulia Slavic, Abrham Shiferaw Alemaw, Lucio Marcenaro, Carlo S. Regazzoni:
Learning Of Linear Video Prediction Models In A Multi-Modal Framework For Anomaly Detection. 1569-1573 - Yixuan Gao, Xiongkuo Min, Wenhan Zhu, Xiao-Ping Zhang, Guangtao Zhai:
Modeling Image Quality Score Distribution Using Alpha Stable Model. 1574-1578 - Huigang Zhang, Liuan Wang, Jun Sun:
Knowledge-Based Reasoning Network For Object Detection. 1579-1583 - Phuc Ngo, Nicolas Passat, Yukiko Kenmochi:
Quasi-Regularity Verification For 2d Polygonal Objects Based On Medial Axis Analysis. 1584-1588 - Renjie Wu, Sei-ichiro Kamata:
Generic Sparse Graph Based Convolutional Networks for Face Recognition. 1589-1593 - Alessandro Gnutti, Fabrizio Guerrini, Riccardo Leonardi, Antonio Ortega:
Symmetry-Based Graph Fourier Transforms: Are They Optimal For Image Compression? 1594-1598 - Xin Chen, Jiawei You, Hui Tang, Bin Wang, Yongsheng Gao:
Fine-Grained Plant Leaf Image Retrieval Using Local Angle Co-occurrence Histograms. 1599-1603 - Shunyu Yao, Xiongkuo Min, Guangtao Zhai:
Deep Audio-Visual Fusion Neural Network for Saliency Estimation. 1604-1608 - Fei Ye, Huangjie Zheng, Chaoqin Huang, Ya Zhang:
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework. 1609-1613 - Nantheera Anantrasirichai, David Bull:
Contextual Colorization and Denoising for Low-Light Ultra High Resolution Sequences. 1614-1618 - Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, Denis Kouamé:
Image Denoising Inspired by Quantum Many-Body physics. 1619-1623 - Rongkai Zhang, Jiang Zhu, Zhiyuan Zha, Justin Dauwels, Bihan Wen:
R3L: Connecting Deep Reinforcement Learning To Recurrent Neural Networks For Image Denoising Via Residual Recovery. 1624-1628 - Xiaoqi Ma, Xiaoyu Lin, Majed El Helou, Sabine Süsstrunk:
Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion. 1629-1633 - Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng, Chong Peng:
Hyperspectral Image Denoising With Log-Based Robust PCA. 1634-1638 - Lu Xu, Yuwei Zhang, Ying Liu, Daoye Wang, Mu Zhou, Jimmy S. J. Ren, Jingwei Wei, Zhaoxiang Ye:
Low-Dose CT Denoising Using A Structure-Preserving Kernel Prediction Network. 1639-1643 - Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu:
Low-Rank Regularized Joint Sparsity for Image Denoising. 1644-1648 - Einav Yogev-Ofer, Tom Tirer, Raja Giryes:
An Interpretation Of Regularization By Denoising And Its Application With The Back-Projected Fidelity Term. 1649-1653 - Lingchao Zhao, Xiaolin Gong, Kaihua Liu, Jian Wang, Bai Zhao, Yu Liu:
Color Channel Fusion Network For Low-Light Image Enhancement. 1654-1658 - Masato Akai, Yoshiaki Ueda, Takanori Koga, Noriaki Suetake:
A Single Backlit Image Enhancement Method For Improvement Of Visibility Of Dark Part. 1659-1663 - Pengliang Tang, Xiaoqiang Guo, Guodong Ju, Liangheng Shen, Aidong Men:
Integration-and-Diffusion Network for Low-Light Image Enhancement. 1664-1668 - Zhe Ji, Cheolkon Jung:
Subband Adaptive Enhancement Of Low Light Images Using Wavelet-Based Convolutional Neural Networks. 1669-1673 - Jingyi Xu, Xin Deng, Mai Xu, Pier Luigi Dragotti:
CU-Net+: Deep Fully Interpretable Network for Multi-Modal Image Restoration. 1674-1678 - Kalliopi Basioti, George V. Moustakides:
Single Image Restoration with Generative Priors. 1679-1683 - Matthieu Terris, Audrey Repetti, Jean-Christophe Pesquet, Yves Wiaux:
Enhanced Convergent PNP Algorithms For Image Restoration. 1684-1688 - Shijun Liang, Berk Iskender, Bihan Wen, Saiprasad Ravishankar:
Labmat: Learned Feature-Domain Block Matching For Image Restoration. 1689-1693 - Rajeev Yasarla, Vishal M. Patel:
Learning to Restore Images Degraded by Atmospheric Turbulence Using Uncertainty. 1694-1698 - Haoling Li, Yuanyuan Chen:
Unpaired Night-To-Day Translation: Image Restoration And Style Transfer Under Low Illumination. 1699-1703 - Tsung-Wei Huang, Guan-Ming Su:
Revertible Guidance Image Based Image Detail Enhancement. 1704-1708 - Peixian Zhuang:
Retinex Underwater Image Enhancement With Multiorder Gradient Priors. 1709-1713 - Jiaming Wang, Zhenfeng Shao, Xiao Huang, Tao Lu, Ruiqian Zhang, Jiayi Ma:
Pan-Sharpening Via High-Pass Modification Convolutional Neural Network. 1714-1718 - Alexandra Duminil, Jean-Philippe Tarel, Roland Brémond:
Single Image Atmospheric Veil Removal Using New Priors. 1719-1723 - Yanni Zhang, Yiming Liu, Qiang Li, Miao Qi, Dahong Xu, Jun Kong, Jianzhong Wang:
Image Deblurring based on Lightweight Multi-Information Fusion Network. 1724-1728 - Senmao Tian, Shunli Zhang, Beibei Lin:
Blind Image Deblurring Based on Dual Attention Network and 2D Blur Kernel Estimation. 1729-1733 - Yu-Ting Yen, Chia-Chi Cheng, Wei-Chen Chiu:
Inverse Halftone Colorization: Making Halftone Prints Color Photos. 1734-1738 - Yugo Shimizu, Ryosuke Furuta, Delong Ouyang, Yukinobu Taniguchi, Ryota Hinami, Shonosuke Ishiwatari:
Painting Style-Aware Manga Colorization Based On Generative Adversarial Networks. 1739-1743 - Hyeonwoo Jeong, Byung-Hyun Yoon, Honggu Jeong, Kang-Sun Choi:
Multi-View Image Color Correction Using 3D Point Set Registration. 1744-1748 - Simone Croci, Cagri Ozcinar, Emin Zerman, Roman Dudek, Sebastian Knorr, Aljosa Smolic:
Deep Color Mismatch Correction In Stereoscopic 3d Images. 1749-1753 - Zihong Huang, Jian Zhang:
Dynamic Multi-Domain Translation Network for Single Image Deraining. 1754-1758 - Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Zheng Wang, Chia-Wen Lin:
PCNET: Progressive Coupled Network for Real-Time Image Deraining. 1759-1763 - Lin Tan, Shan Wang, Libao Zhang:
Nighttime Haze Removal Using Saliency-Oriented Ambient Light And Transmission Estimation. 1764-1768 - Juiwen Ting, Xuesong Wu, Kangkang Hu, Hong Zhang:
Deep Snapshot Hdr Reconstruction Based On The Polarization Camera. 1769-1773 - Oguzhan Ulucan, Diclehan Karakaya, Mehmet Türkan:
Saturated Region Recovery in Tone-Mapped HDR Images. 1774-1778 - Ferhat Can Ataman, Gözde Bozdagi Akar:
Visible And Infrared Image Fusion Using Encoder-Decoder Network. 1779-1783 - Oguzhan Ulucan, Diclehan Karakaya, Mehmet Türkan:
Image Fusion Through Linear Embeddings. 1784-1788 - Kazuhiro Yamawaki, Xian-Hua Han:
Deep Blind Un-Supervised Learning Network for Single Image Super Resolution. 1789-1793 - Pengcheng Bian, Zhonglong Zheng, Dawei Zhang, Liyuan Chen, Minglu Li:
Single Image Super-Resolution Via Global-Context Attention Networks. 1794-1798 - Zhu Qin, Taiping Zhang:
Explore Connection Pattern And Attention Mechanism For Lightweightimage Super-Resolution. 1799-1803 - Tianxiao Gao, Ruiqin Xiong, Rui Zhao, Jian Zhang, Shuyuan Zhu, Tiejun Huang:
Recover The Residual Of Residual: Recurrent Residual Refinement Network For Image Super-Resolution. 1804-1808 - Vinh Van Duong, Thuc Nguyen Huu, Jonghoon Yim, Byeungwoo Jeon:
A Fast and Efficient Super-Resolution Network Using Hierarchical Dense Residual Learning. 1809-1813 - Qiu Huang, Yuxin Zhang, Haoji Hu, Yongdong Zhu, Zhifeng Zhao:
Binarizing Super-Resolution Networks by Pixel-Correlation Knowledge Distillation. 1814-1818 - Yanhong Liu, Sumei Li, Anqi Liu:
Two-Way Guided Super-Resolution Reconstruction Network Based on Gradient Prior. 1819-1823 - Tomasz Tarasiewicz, Jakub Nalepa, Michal Kawulok:
A Graph Neural Network For Multiple-Image Super-Resolution. 1824-1828 - Akito Nishiyama, Satoshi Ikehata, Kiyoharu Aizawa:
360° Single Image Super Resolution via Distortion-Aware Network and Distorted Perspective Images. 1829-1833 - Li Ma, Sumei Li:
Enhanced Back Projection Network Based Stereo Image Super-Resolution Considering Parallax Attention. 1834-1838 - Wei Xu, Jin Wang, Longhua Sun, Qing Zhu:
Depth Map Super-Resolution By Multi-Direction Dictionary And Joint Regularization. 1839-1843 - Chun-Hao Chao, Chang-Le Liu, Homer H. Chen:
Robust Light Field Synthesis From Stereo Images With Left-Right Geometric Consistency. 1844-1848 - Daniel Valdez-Balderas, Oleg Muraveynyk, Timothy Smith:
Fast Hybrid Image Retargeting. 1849-1853 - Michihiro Mikamo, Ryo Furukawa, Hiroshi Kawasaki:
A Method for Adding Motion-Blur on Arbitrary Objects by Using Auto-Segmentation and Color Compensation Techniques. 1854-1858 - Xuehui Wang, Qingyun Zhao, Lei Fan, Yuzhi Zhao, Tiantian Wang, Qiong Yan, Long Chen:
Semasuperpixel: A Multi-Channel Probability-Driven Superpixel Segmentation Method. 1859-1863 - Harshana Weligampola, Gihan Jayatilaka, Suren Sritharan, Parakrama Ekanayake, Roshan G. Ragel, Vijitha R. Herath, Roshan Godaliyadda:
An Optical Physics Inspired CNN Approach for Intrinsic Image Decomposition. 1864-1868 - Yezhou Zhu, Jianzhu Wang, Jing Zhang, Qingyong Li:
A Two-Stage Autoencoder For Visual Anomaly Detection. 1869-1873 - Kushal Kusram, Shane Transue, Min-Hyung Choi:
Two-Phase Multimodal Image Fusion Using Convolutional Neural Networks. 1874-1878 - Shiyong Lan, Jin Li, Shipeng Sun, Xin Lai, Wenwu Wang:
Robust Visual Object Tracking with Spatiotemporal Regularisation and Discriminative Occlusion Deformation. 1879-1883 - Mengxue Liu, Yujuan Qi, Yanjiang Wang, Baodi Liu:
Adaptive Multi-Feature Fusion for Robust Object Tracking. 1884-1888 - Junhyung Kang, Hyeonseong Jeon, Youngoh Bang, Simon S. Woo:
Sarod: Efficient End-To-End Object Detection On SAR Images With Reinforcement Learning. 1889-1893 - Ange Lou, Murray H. Loew:
CFPNET: Channel-Wise Feature Pyramid For Real-Time Semantic Segmentation. 1894-1898 - Eva Gil San Antonio, Melpomeni Dimopoulou, Marc Antonini, Pascal Barbry, Raja Appuswamy:
Decoding Of Nanopore-Sequenced Synthetic DNA Storing Digital Images. 1899-1903 - Xiaorui Li, Weiyu Cui, Jiawei Huang, Wenyi Wang, Jianwen Chen:
Regularized Intermediate Layers Attack: Adversarial Examples With High Transferability. 1904-1908 - Marco Forte:
Approximate Fast Foreground Colour Estimation. 1909-1913 - M. Amine Mahmoudi, Aladine Chetouani, Fatma Boufera, Hedi Tabia:
Taylor Series Kernelized Layer for Fine-Grained Recognition. 1914-1918 - Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu:
A Discrete Scheme for Computing Image's Weighted Gaussian Curvature. 1919-1923 - Yaxin Liu, Xiaoyan Zhang, Xiaogang Xu:
Reference-Based Video Colorization With Multi-Scale Semantic Fusion And Temporal Augmentation. 1924-1928 - Yu-Ta Chen, Kuan-Wei Tseng, Yao-Chih Lee, Chun-Yu Chen, Yi-Ping Hung:
PixStabNet: Fast Multi-Scale Deep Online Video Stabilization with Pixel-Based Warping. 1929-1933 - Tatiana Gelvez, Jorge Bacca, Henry Arguello:
Interpretable Deep Image Prior Method Inspired In Linear Mixture Model For Compressed Spectral Image Recovery. 1934-1938 - Shao-Yuan Lo, Jeya Maria Jose Valanarasu, Vishal M. Patel:
Overcomplete Representations Against Adversarial Videos. 1939-1943 - Mustafa Akin Yilmaz, Ahmet Murat Tekalp:
DFPN: Deformable Frame Prediction Network. 1944-1948 - Pablo Navarrete Michelini, Hanwen Liu, Yunhua Lu, Xingqun Jiang:
Back-Projection Pipeline. 1949-1953 - Jan Kotera, Filip Sroubek, Václav Smídl:
Improving Neural Blind Deconvolution. 1954-1958 - Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu:
Quarter Laplacian Filter For Edge Aware Image Processing. 1959-1963 - Fei Chen, Gene Cheung, Xue Zhang:
Fast & Robust Image Interpolation Using Gradient Graph Laplacian Regularizer. 1964-1968 - Fanyong Xue, Jie Li, Chentao Wu:
A Novel All-In-One Grid Network for Video Frame Interpolation. 1969-1973 - Zhenfang Wang, Yan-Jiang Wang, Shuai Shao, Bao-Di Liu:
OPS-Net: Over-Parameterized Sharing Networks for Video Frame Interpolation. 1974-1978 - Francesco Picetti, Vincenzo Lipari, Paolo Bestagini, Stefano Tubaro:
Anti-Aliasing Add-On For Deep Prior Seismic Data Interpolation. 1979-1983 - Jaehwan Kim, Soo Min Kang, Kwang Pyo Choi, Youngo Park, Chaeeun Lee, Jongseok Lee:
High-Frequency Preserving Image Downscaler. 1984-1988 - Krishna Teja Chitty-Venkata, Arun K. Somani, Sreenivas Kothandaraman:
Searching Architecture and Precision for U-net based Image Restoration Tasks. 1989-1993 - Junaid Malik, Serkan Kiranyaz, Mehmet Yamac, Moncef Gabbouj:
Bm3d Vs 2-Layer Onn. 1994-1998 - Sourav Dey Roy, Tannistha Pal, Mrinal Kanti Bhowmik:
Benchmarking of Natural Scene Image Dataset In Degraded Conditions For Visibility Enhancement. 1999-2003 - Zhengguo Li, Haiyan Shu:
Multi-Scale Model Driven Single Image Dehazing. 2004-2008 - Chajin Shin, Taeoh Kim, Sangjin Lee, Sangyoun Lee:
Test-Time Adaptation for Out-Of-Distributed Image Inpainting. 2009-2013 - Yuelong Li, Jialiang Yan, Jianming Wang:
GPG-NET: Face Inpainting With Generative Parsing Guidance. 2014-2018 - Mourad Aklouf, Marc Leny, Michel Kieffer, Frédéric Dufaux:
Interframe-Dependent Rate-QP-Distortion Model For Video Coding And Transmission. 2019-2023 - Chihiro Tsutake, Keita Takahashi, Toshiaki Fujii:
An Efficient Compression Method For Sign Information Of DCT Coefficients Via Sign Retrieval. 2024-2028 - Fan Jiang, Xin Jin, Tingting Zhong:
Zoomable Intra Prediction for Multi-Focus Plenoptic 2.0 Video Coding. 2029-2033 - Zhipin Deng, Kai Zhang, Li Zhang:
Decoder Derived Cross-Component Linear Model Intra-Prediction for Video Coding. 2034-2038 - Samruddhi Kahu, Madhu Peringassery Krishnan, Xin Zhao, Shan Liu:
Context-Adaptive Secondary Transform For Video Coding. 2039-2043 - Kyohei Unno, Yusuke Kameda, Yasuyo Kita, Ichiro Matsuda, Susumu Itoh, Kei Kawamura:
Lossless Video Coding Based On Probability Model Optimization With Improved Adaptive Prediction. 2044-2048 - Yang Wang, Ye-Kui Wang, Li Zhang, Kai Zhang, Zhipin Deng:
Extended Dependent Random Access Point Pictures in VVC. 2049-2053 - Hossein Bakhshi Golestani, Johannes Sauer, Christian Rohlfing, Jens-Rainer Ohm:
3D Geometry-Based Global Motion Compensation For VVC. 2054-2058 - Gaurang Chaudhari, Hsiao-Chiang Chuang, Igor Koba, Hariharan G. Lalgudi:
Rate Estimation Techniques for Encoder Parallelization. 2059-2063 - Han Zhang, Jizheng Xu, Li Song:
Video Multimethod Assessment Fusion Based Rate-Distortion Optimization for Versatile Video Coding. 2064-2068 - Tianliang Fu, Kai Zhang, Li Zhang, Shanshe Wang, Siwei Ma:
An Enhanced Reference Structure For Reference Picture Resampling (RPR) In VVC. 2069-2073 - Ashek Ahmmed, Manoranjan Paul, M. Manzur Murshed, David Taubman:
Human-Machine Collaborative Video Coding Through Cuboidal Partitioning. 2074-2078 - Kristian Fischer, Christian Forsch, Christian Herglotz, André Kaup:
Analysis Of Neural Image Compression Networks For Machine-To-Machine Communication. 2079-2083 - Yu Mikami, Chihiro Tsutake, Keita Takahashi, Toshiaki Fujii:
An Efficient Image Compression Method Based On Neural Network: An Overfitting Approach. 2084-2088 - Koki Tsubota, Kiyoharu Aizawa:
Comprehensive Comparisons Of Uniform Quantizers For Deep Image Compression. 2089-2093 - Chunhui Yang, Yi Ma, Jiayu Yang, Shiyi Liu, Ronggang Wang:
Graph-Convolution Network for Image Compression. 2094-2098 - Liang Yuan, Jixiang Luo, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong:
Learned Image Compression with Channel-Wise Grouped Context Modeling. 2099-2103 - Yue Li, Li Zhang, Kai Zhang:
Convolutional Neural Network Based In-Loop Filter For VVC Intra Coding. 2104-2108 - Gerhard Tech, Jonathan Pfaff, Heiko Schwarz, Philipp Helle, Adam Wieckowski, Detlev Marpe, Thomas Wiegand:
CNN-based parameter selection for fast VVC intra-picture encoding. 2109-2113 - Martin Benjak, Yasser Samayoa, Jörn Ostermann:
Neural Network-Based Error Concealment For VVC. 2114-2118 - Fabian Brand, Jürgen Seiler, André Kaup:
Intra To Inter: Towards Intra Prediction for Learning-Based Video Coders Using Optical Flow. 2119-2123 - David Alexandre, Hsueh-Ming Hang, Wen-Hsiao Peng, Marek Domanski:
Deep Video Compression for Interframe Coding. 2124-2128 - Limin Wang, Seungwook Hong, Krit Panusopone:
Gradual Decoding Refresh with Virtual Boundary. 2129-2133 - Yuhuai Zhang, Kai Zhang, Li Zhang, Hongbin Liu, Yue Wang, Siwei Ma, Wen Gao:
Implicit Seleted Transform Skip Method For Avs3. 2134-2138 - Reji Mathew, Yue Li, David Taubman:
Scalable Coding Of Motion And Depth Fields With Shared Breakpoints. 2139-2143 - Marek Domanski, Yasir Al-Obaidi, Tomasz Grajek:
Universal Modeling of Monoscopic and Multiview Video Codecs with Applications to Encoder Control. 2144-2148 - João Carreira, Sérgio M. M. de Faria, Luis M. N. Tavora, Antonio Navarro, Pedro A. Amado Assunção:
Attention-driven tile splitting method for improved efficiency of omnidirectional versatile video coding. 2149-2153 - Srutarshi Banerjee, Zihao W. Wang, Henry H. Chopp, Oliver Cossairt, Aggelos K. Katsaggelos:
Lossy Event Compression Based On Image-Derived Quad Trees And Poisson Disk Sampling. 2154-2158 - Ashek Ahmmed, Manoranjan Paul, M. Manzur Murshed, David Taubman:
Dynamic Point Cloud Geometry Compression using Cuboid based Commonality Modeling Framework. 2159-2163 - Madhukar Bhat, Jean-Marc Thiesse, Patrick Le Callet:
Combining Video Quality Metrics To Select Perceptually Accurate Resolution In A Wide Quality Range: A Case Study. 2164-2168 - Yunlong Li, Xinfeng Zhang, Shanshe Wang, Siwei Ma:
A Fuzzy-Based Adaptation Controller For Low Latency Live Video Streaming. 2169-2173 - Vignesh V. Menon, Hadi Amirpour, Mohammad Ghanbari, Christian Timmerer:
Efficient Content-Adaptive Feature-Based Shot Detection for HTTP Adaptive Streaming. 2174-2178 - Ashiv Dhondea, Robert A. Cohen, Ivan V. Bajic:
CALTEC: Content-Adaptive Linear Tensor Completion For Collaborative Intelligence. 2179-2183 - Weipeng Xu, Hongcheng Huang, Shaoyou Pan:
Using Feature Alignment Can Improve Clean Average Precision And Adversarial Robustness In Object Detection. 2184-2188 - Fen Fang, Qianli Xu, Nicolas Gauthier, Liyuan Li, Joo-Hwee Lim:
Enhancing Multi-Step Action Prediction for Active Object Detection. 2189-2193 - Mariano Rodríguez, Jean-Michel Morel, Julie Delon:
Automatic Detection of Repeated Objects in Images. 2194-2198 - Yingxia Jiao, Xiao Wang, Yu-Cheng Chou, Shouyuan Yang, Ge-Peng Ji, Rong Zhu, Ge Gao:
Guidance And Teaching Network For Video Salient Object Detection. 2199-2203 - Jianjun Lei, Tingyi Guo, Bo Peng, Chuanbo Yu:
Depth-Assisted Joint Detection Network For Monocular 3d Object Detection. 2204-2208 - Keyang Wang, Lei Zhang, Wenli Song, Qinghai Lang, Lingyun Qin:
Layer-Wise Customized Weak Segmentation Block And Aiou Loss For Accurate Object Detection. 2209-2213 - Zhaoheng Zheng, Arka Sadhu, Ram Nevatia:
Improving Object Detection And Attribute Recognition By Feature Entanglement Reduction. 2214-2218 - Lin Guo, Guoliang Fan:
Locop: Local Collaborative Object Presence For Semantic Labeling Via Score Map Re-Inference. 2219-2223 - Sanghun Park, Kunhee Kim, Eunseop Lee, Daijin Kim:
Localization Uncertainty-Based Attention For Object Detection. 2224-2228 - Jinghui Chu, Jiawei Feng, Peiguang Jing, Wei Lu:
Joint Co-Attention And Co-Reconstruction Representation Learning For One-Shot Object Detection. 2229-2233 - Osman Semih Kayhan, Bart Vredebregt, Jan C. van Gemert:
Hallucination In Object Detection - A Study In Visual Part VERIFICATION. 2234-2238 - Chao-Han Huck Yang, Mohit Chhabra, Yi-Chieh Liu, Quan Kong, Tomoaki Yoshinaga, Tomokazu Murakami:
Robust Unsupervised Multi-Object Tracking In Noisy Environments. 2239-2243 - Zu-Yun Shiau, Weiwei Lin, Ci-Siang Lin, Yu-Chiang Frank Wang:
Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation. 2244-2248 - Yu-Ting Pang, Jui Chang, Chiou-Ting Hsu:
Self-Guided Adversarial Learning For Domain Adaptive Semantic Segmentation. 2249-2253 - Hao Wang, Weining Wang, Jing Liu:
Temporal Memory Attention for Video Semantic Segmentation. 2254-2258 - Taehun Kim, Jinseong Kim, Daijin Kim:
SpaceMeshLab: Spatial Context Memoization And Meshgrid Atrous Convolution Consensus For Semantic Segmentation. 2259-2263 - Ying Chen, Xu Ouyang, Kaiyue Zhu, Gady Agam:
ComplexMix: Semi-Supervised Semantic Segmentation Via Mask-Based Data Augmentation. 2264-2268 - Chen Shi, Xiangtai Li, Yanran Wu, Yunhai Tong, Yi Xu:
Dynamic Dual Sampling Module For Fine-Grained Semantic Segmentation. 2269-2273 - Hannah Dröge, Michael Möller:
Learning or Modelling? An Analysis of Single Image Segmentation Based on Scribble Information. 2274-2278 - Fahim Faisal Niloy, M. Ashraful Amin, Amin Ahsan Ali, AKM Mahbubur Rahman:
Attention Toward Neighbors: A Context Aware Framework For High Resolution Image Segmentation. 2279-2283 - Chun-Tse Lin, Wei-Chih Tu, Chih-Ting Liu, Shao-Yi Chien:
Interactive Object Segmentation With Dynamic Click Transform. 2284-2288 - Jianhua Yang, Yan Huang, Zhanyu Ma, Liang Wang:
CMF: Cascaded Multi-Model Fusion For Referring Image Segmentation. 2289-2293 - Jinhai Yang, Hua Yang:
MPASNET: Motion Prior-Aware Siamese Network For Unsupervised Deep Crowd Segmentation In Video Scenes. 2294-2298 - Ci-Siang Lin, Yu-Chiang Frank Wang:
Self-Supervised Bodymap-to-Appearance Co-Attention for Partial Person Re-Identification. 2299-2303 - Wenyu Sun, Jiyang Xie, Jiayan Qiu, Zhanyu Ma:
Part Uncertainty Estimation Convolutional Neural Network For Person Re-Identification. 2304-2308 - Yapkan Choi, Yeshwanth Napolean, Jan C. van Gemert:
The Arm-Swing is Discriminative in Video Gait Recognition for Athlete Re-Identification. 2309-2313 - Torben Teepe, Ali Khan, Johannes Gilg, Fabian Herzog, Stefan Hörmann, Gerhard Rigoll:
Gaitgraph: Graph Convolutional Network for Skeleton-Based Gait Recognition. 2314-2318 - Tianrui Chai, Xinyu Mei, Annan Li, Yunhong Wang:
Silhouette-Based View-Embeddings for Gait Recognition Under Multiple Views. 2319-2323 - Honghui Lin, Jiale Cheng, Yu Li, Xin Zhang:
Temporal-Spatial Deformable Pose Network For Skeleton-Based Gesture Recognition. 2324-2328 - Hichem Sahbi:
Lightweight Connectivity In Graph Convolutional Networks For Skeleton-Based Recognition. 2329-2333 - Yumin Tian, Mengqi Li, Di Wang:
DFER-Net: Recognizing Facial Expression In The Wild. 2334-2338 - Liam Schoneveld, Alice Othmani:
Towards a General Deep Feature Extractor for Facial Expression Recognition. 2339-2342 - Chia-Hao Tang, Yi-Mei Chou, Gee-Sern Jison Hsu:
Multi-View Normalization For Face Recognition. 2343-2347 - Simone Felicioni, Mariella Dimiccoli:
Interaction-GCN: A Graph Convolutional Network Based Framework for Social Interaction Recognition in Egocentric Videos. 2348-2352 - Xinze Dou, Yang Liu, Kai Lv, Zhang Xiong, Hao Sheng:
High Confidence Attribute Recognition For Vehicle Re-Identification. 2353-2357 - Qindong Zhang, Sanping Zhou, Jinjun Wang:
Learning Generic Feature Representations with Adversarial Regularization for Person Re-Identification. 2358-2362 - Zongzhe Sun, Feng Zhao, Feng Wu:
Unsupervised Person Re-Identification Via Global-Level And Patch-Level Discriminative Feature Learning. 2363-2367 - Jianyuan Wang, Meiyue You, Biao Leng, Ming Jiang, Guanglu Song:
PCNET: Parallelly Conquer the Large Variance of Person Re-Identification. 2368-2372 - Yuanhang He, Hua Yang, Lin Chen:
Adversarial Cross-Scale Alignment Pursuit For Seriously Misaligned Person Re-Identification. 2373-2377 - Andreas Specker, Jürgen Beyerer:
Improving Attribute-Based Person Retrieval By Using A Calibrated, Weighted, And Distribution-Based Distance Metric. 2378-2382 - Toshal Patel, Alvin Yan Hong Yao, Yu Qiang, Wei Tsang Ooi, Roger Zimmermann:
Multi-Camera Video Scene Graphs for Surveillance Videos Indexing and Retrieval. 2383-2387 - Sungkwon Choo, Seong Jong Ha, Joonsoo Lee:
Semantic-Preserving Metric Learning for Video-Text Retrieval. 2388-2392 - Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Regional Attention Over Multi-Resolution Deep Convolutional Features For Trademark Retrieval. 2393-2397 - Jiachen Li, Zhi Li, Yanchun Ma, Qing Xie, Yongjian Liu:
Gat-Assisted Deep Hashing For Multi-Label Image Retrieval. 2398-2402 - Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu:
Adversarial Segmentation Loss For Sketch Colorization. 2403-2407 - Bingqing Guo, Pengwei Hao:
3S-Net: Arbitrary Semantic-Aware Style Transfer With Controllable ROI Choice. 2408-2412 - Zhi-Song Liu, Vicky Kalogeiton, Marie-Paule Cani:
Multiple Style Transfer Via Variational Autoencoder. 2413-2417 - Xu Yao, Alasdair Newson, Yann Gousseau, Pierre Hellier:
Learning Non-Linear Disentangled Editing For Stylegan. 2418-2422 - Ting-Yao Hu, Alexander G. Hauptmann:
Pose Guided Person Image Generation With Hidden P-Norm Regression. 2423-2427 - Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf:
Scene Graph tO Image Generation with Contextualized Object Layout Refinement. 2428-2432 - Tomoki Haruyama, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Segmentation-Aware Text-Guided Image Manipulation. 2433-2437 - Zhiqiang Zhang, Wenxin Yu, Ning Jiang, Jinjia Zhou:
Text To Image Synthesis With Erudite Generative Adversarial Networks. 2438-2442 - Eunyeong Jeon, Kunhee Kim, Daijin Kim:
FA-GAN: Feature-Aware GAN for Text to Image Synthesis. 2443-2447 - Stefan Hörmann, Arka Bhowmick, Michael Weiher, Karl Leiss, Gerhard Rigoll:
Face Texture Generation And Identity-Preserving Rectification. 2448-2452 - Yun Zhang, Ruixin Liu, Yifan Pan, Dehao Wu, Yuesheng Zhu, Zhiqiang Bai:
GI-AEE: GAN Inversion Based Attentive Expression Embedding Network For Facial Expression Editing. 2453-2457 - Gee-Sern Jison Hsu, Hung-Yi Wu:
Pose-Guided And Style-Transferred Face Reenactment. 2458-2462 - Ziqi Huang, Hongyuan Zhu, Ying Sun, Dongkyu Choi, Cheston Tan, Joo-Hwee Lim:
A Diagnostic Study Of Visual Question Answering With Analogical Reasoning. 2463-2467 - Guoliang Liu, Shiyong Lan, Ting Zhang, Weikang Huang, Wenwu Wang:
SAGAN: Skip-Attention GAN For Anomaly Detection. 2468-2472 - Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Interpretable Representation Learning on Natural Image Datasets via Reconstruction in Visual-Semantic Embedding Space. 2473-2477 - Sheng Tian, Hao Tang, Longquan Dai:
Coupled Patch Similarity Network FOR One-Shot Fine-Grained Image Recognition. 2478-2482 - Fang Li, Mei-Chen Yeh:
Generalized Zero-Shot Recognition Through Image-Guided Semantic Classification. 2483-2487 - Roberto Leyva, Victor Sanchez:
Video Memorability Prediction Via Late Fusion Of Deep Multi-Modal Features. 2488-2492 - Qun Zhang, Shilin Wang, Gongliang Chen:
Speaker-Independent Lipreading By Disentangled Representation Learning. 2493-2497 - Olivier Risser-Maroix, Camille Kurtz, Nicolas Loménie:
Learning an Adaptation Function to Assess Image Visual Similarities. 2498-2502 - Sai Phani Kumar Malladi, Jayanta Mukhopadhyay, Chaker Larabi, Santanu Chaudhury:
Lighter and Faster Cross-Concatenated Multi-Scale Residual Block Based Network for Visual Saliency Prediction. 2503-2507 - Yanran Wu, Xiangtai Li, Chen Shi, Yunhai Tong, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan:
Fast and Accurate Scene Parsing via Bi-Direction Alignment Networks. 2508-2512 - Nicolas Vercheval, Aleksandra Pizurica:
Hierarchical Variational Autoencoders For Visual Counterfactuals. 2513-2517 - Vinh Tran, Yang Wang, Zekun Zhang, Minh Hoai:
Knowledge Distillation for Human Action Anticipation. 2518-2522 - Yong-Yaw Yeo, John See, Lai-Kuan Wong, Hui-Ngo Goh:
Generating Aesthetic Based Critique For Photographs. 2523-2527 - Angelique Loesch, Romaric Audigier:
Describe Me If You Can! Characterized Instance-Level Human Parsing. 2528-2532 - Wonhee Lee, Sungeun Kim, Gunhee Kim:
Contextual Label Transformation For Scene Graph Generation. 2533-2537 - HaiShun Chen, Ying Wang, Xin Yang, Jie Li:
Captioning Transformer With Scene Graph Guiding. 2538-2542 - Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex C. Kot:
AI-GAN: Attack-Inspired Generation of Adversarial Examples. 2543-2547 - Nakamasa Inoue, Ryota Yamada, Rei Kawakami, Ikuro Sato:
Disentangling Latent Groups Of Factors. 2548-2552 - Hila Levi, Shimon Ullman:
Multi-Task Learning By A Top-Down Control Network. 2553-2557 - Yang Jiao, Guangming Shi, Trac D. Tran:
Optical Flow Estimation Via Motion Feature Recovery. 2558-2562 - Yi Cheng, Ying Sun, Dongyun Lin, Joo-Hwee Lim:
Action Relational Graph for Weakly-Supervised Temporal Action Localization. 2563-2567 - Sanjoy Chowdhury, Subhrajyoti Dasgupta, Sudip Das, Ujjwal Bhattacharya:
Listen To The Pixels. 2568-2572 - Tianpei Lian, Zhiguo Cao, Hao Lu, Zijin Wu, Weicai Zhong:
Image Cropping Assisted By Modeling Inter-Patch Relations. 2573-2577 - Zhifeng Chen, Sining Liu, Ente Guo, Jingjing Yang:
Extrinsic Camera Calibration by using a Nonuniform Subdivision Accumulator and Orthogonal Vanishing Points. 2578-2582 - Vinh Tran, Niranjan Balasubramanian, Minh Hoai:
Progressive Knowledge Distillation For Early Action Recognition. 2583-2587 - Sirnam Swetha, Hilde Kuehne, Yogesh S. Rawat, Mubarak Shah:
Unsupervised Discriminative Embedding For Sub-Action Learning in Complex Activities. 2588-2592 - Mohamed Chelali, Camille Kurtz, Nicole Vincent:
Violence Detection from Video under 2D Spatio-Temporal Representations. 2593-2597 - Noor Ul Sehr Zia, Osman Semih Kayhan, Jan van Gemert:
PUNet: Temporal Action Proposal Generation With Positive Unlabeled Learning Using Key Frame Annotations. 2598-2602 - Zhihao Liu, Yuqian Fu:
E-ACJ: Accurate Junction Extraction For Event Cameras. 2603-2607 - Jonathan Psaila, Thanh Hong-Phuoc, Ling Guan:
Image Matching Using Enhancement Offsets With Adaptive Parameter Selection Via Histogram Analysis. 2608-2612 - Xuezhou Guo, Xuhu Lin, Lili Zhao, Zezhi Zhu, Jianwen Chen:
An Unsupervised Optical Flow Estimation for Lidar Image Sequences. 2613-2617 - Konstantinos Apostolidis, Vasileios Mezaris:
A Fast Smart-Cropping Method and Dataset for Video Retargeting. 2618-2622 - Xiang Li, Sara Shonkwiler, Sara McMains:
Fiber Recognition In Composite Materials. 2623-2627 - Shubham Chaudhary, Alokendu Mazumder, Deebha Mumtaz, Vinit Jakhetiya, Badri N. Subudhi:
Perceptual Quality Assessment of DIBR Synthesized Views Using Saliency Based Deep Features. 2628-2632 - Tuomo Lahtinen, Hannu Turtiainen, Andrei Costin:
Brima: Low-Overhead Browser-Only Image Annotation Tool (Preprint). 2633-2637 - Maciej Janik, Niklas Gard, Anna Hilsmann, Peter Eisert:
Zero in on Shape: A Generic 2D-3D Instance Similarity Metric Learned from Synthetic Data. 2638-2642 - Gen-Bing Liong, John See, Lai-Kuan Wong:
Shallow Optical Flow Three-Stream CNN For Macro- And Micro-Expression Spotting From Long Videos. 2643-2647 - Bela Chakraborty, Peng Wang, Lei Wang:
Inter-Modality Fusion Based Attention for Zero-Shot Cross-Modal Retrieval. 2648-2652 - Tsenjung Tai, Masato Toda:
Adapting Intra-Class Variations For Sar Image Classification. 2653-2657 - Sen Li, Xiaoyan Luo, Qixiong Wang, Lei Li, Weifa Shen, Jihao Yin:
Hyperspectral Classification Using Cooperative Spatial-Spectral Attention Network With Tensor Low-Rank Reconstruction. 2658-2662 - Huijing Zhan, Jie Lin:
PAN: Personalized Attention Network For Outfit Recommendation. 2663-2667 - Alexander Black, Tu Bui, Long Mai, Hailin Jin, John P. Collomosse:
Compositional Sketch Search. 2668-2672 - Yang Liu, Huaqiu Wang, Fanyang Meng, Mengyuan Liu, Hong Liu:
Attend, Correct And Focus: A Bidirectional Correct Attention Network For Image-Text Matching. 2673-2677 - Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Time-Lag Aware Multi-Modal Variational Autoencoder Using Baseball Videos And Tweets For Prediction Of Important Scenes. 2678-2682 - Michail Kaseris, Ioannis Mademlis, Ioannis Pitas:
Adversarial Unsupervised Video Summarization Augmented With Dictionary Loss. 2683-2687 - Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Cross-Domain Recommendation Method Based On Multi-Layer Graph Analysis With Visual Information. 2688-2692 - Kenan E. Ak, Ying Sun, Joo Hwee Lim:
Robust Multi-Frame Future Prediction By Leveraging View Synthesis. 2693-2697 - Sarah Shiraz, Krishna Regmi, Shruti Vyas, Yogesh S. Rawat, Mubarak Shah:
Novel View Video Prediction using a Dual Representation. 2698-2702 - Zheng Chang, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao:
Iprnn: An Information-Preserving Model For Video Prediction Using Spatiotemporal Grus. 2703-2707 - Noam Gat, Sagie Benaim, Lior Wolf:
Identity and Attribute Preserving Thumbnail Upscaling. 2708-2712 - Vassilios Vonikakis, Yuan Rong Dexter Neo, Stefan Winkler:
Morphset: Augmenting Categorical Emotion Datasets With Dimensional Affect Labels Using Face Morphing. 2713-2717 - Li-Chi Lan, Tsung-Jung Liu, Kuan-Hsien Liu:
Age Regression with Specific Facial Landmarks by Dual Discriminator Adversarial Autoencoder. 2718-2722 - Niloufar Pourian, Oscar Nestares:
Multi-Level Optical Flow Estimation Based On Spatial Partitioning. 2723-2727 - Jingwei Liu, Longquan Dai:
MAT-Net: Representing Appearance-Irrelevant Warp Field by Multiple Affine Transformations. 2728-2732 - Matteo Moro, Maura Casadio, Leigh Ann Mrotek, Rajiv Ranganathan, Robert A. Scheidt, Francesca Odone:
On The Precision Of Markerless 3d Semantic Features: An Experimental Study On Violin Playing. 2733-2737 - Alexandros Stergiou:
The Mind's Eye: Visualizing Class-Agnostic Features of CNNS. 2738-2742 - Fei Wu, Xiaokai Luo, Qinghua Huang, Pengfei Wei, Ying Sun, Xiwei Dong, Zhiyong Wu:
Semantic Preserving Generative Adversarial Network For Cross-Modal Hashing. 2743-2747 - Sobhan Hemati, Mohammad Hadi Mehdizavareh, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh:
A Simple Supervised Hashing Algorithm Using Projected Gradient and Oppositional Weights. 2748-2752 - Yi Zheng, Qitong Wang, Margrit Betke:
Semantic-Based Sentence Recognition in Images Using Bimodal Deep Learning. 2753-2757 - Thibault Durand, Julien Rabin, David Tschumperlé:
Shallow Multi-Scale Network For Stylized Super-Resolution. 2758-2762 - Nikolaos Passalis, Anastasios Tefas:
Pseudo-Active Vision For Improving Deep Visual Perception Through Neural Sensory Refinement. 2763-2767 - Masaki Taniguchi, Taro Tezuka:
Automatic Trimap Generation by a Multimodal Neural Network. 2768-2772 - Ziyu Zhu, Wei Guo, Wei Chen, Qiuping Li, Yong Zhao:
MPANET: Multi-Scale Pyramid Aggregation Network For Stereo Matching. 2773-2777 - Man Zhou, Liu Liu, Rujing Wang:
Reinforcedet: Object Detection By Integrating Reinforcement Learning With Decoupled Pipeline. 2778-2782 - Patricia L. Suárez, Angel Domingo Sappa, Boris Xavier Vintimilla:
Cycle Generative Adversarial Network: Towards A Low-Cost Vegetation Index Estimation. 2783-2787 - Sourya Dipta Das, Nisarg A. Shah, Saikat Dutta, Himanshu Kumar:
Dsrn: an Efficient Deep Network for Image Relighting. 2788-2792 - Dmitry Minskiy, Miroslaw Bober:
Scattering-Based Hybrid Networks: An Evaluation and Design Guide. 2793-2797 - Tashnim Chowdhury, Maryam Rahnemoonfar:
Self Attention Based Semantic Segmentation on a Natural Disaster Dataset. 2798-2802 - Caroline Crockett, Jeffrey A. Fessler:
Motivating Bilevel Approaches To Filter Learning: A Case Study. 2803-2807 - Xiao Chen, Tomoya Nakamura, Xiuxi Pan, Kazuyuki Tajima, Keita Yamaguchi, Takeshi Shimano, Masahiro Yamaguchi:
Resolution Improvement In FZA Lens-Less Camera By Synthesizing Images Captured With Different Mask-Sensor Distances. 2808-2812 - Ziyi Meng, Xin Yuan:
Perception Inspired Deep Neural Networks For Spectral Snapshot Compressive Imaging. 2813-2817 - Zikui Cai, Rakib Hyder, M. Salman Asif:
Data-Driven Illumination Patterns For Coded Diffraction Imaging. 2818-2822 - Jonathan Monsalve, Miguel Marquez, Iñaki Esnaola, Henry Arguello:
Compressive Covariance Matrix Estimation from a Dual-Dispersive Coded Aperture Spectral Imager. 2823-2827 - Zongyu Li, Kenneth Lange, Jeffrey A. Fessler:
Poisson Phase Retrieval With Wirtinger Flow. 2828-2832 - Sanket R. Jantre, Zichao Wendy Di:
Low-Rank Tensor Regression for X-Ray Tomography. 2833-2837 - Laixi Shi, Dehong Liu, Jay Thornton:
Robust Camera Pose Estimation For Image Stitching. 2838-2842 - Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
Beyond Flops In Low-Rank Compression Of Neural Networks: Optimizing Device-Specific Inference Runtime. 2843-2847 - Kemeng Zhang, Ruohui Zheng, Sijia Ma, Libao Zhang:
Uav Remote Sensing Image Dehazing Based On Saliency Guided Two-Scaletransmission Correction. 2848-2852 - Fahimeh Arab, M. Salman Asif:
Solving Fourier Phase Retrieval with a Reference Image as a Sequence of Linear Inverse Problems. 2853-2857 - Charles Saunders, William Krska, Julián Tachella, Sheila W. Seidel, Joshua Rapp, John Murray-Bruce, Yoann Altmann, Steve McLaughlin, Vivek K. Goyal:
Edge-Resolved Transient Imaging: Performance Analyses, Optimizations, and Simulations. 2858-2862 - Wei Guo, Ziyu Zhu, Fukun Xia, Jiarui Sun, Yong Zhao:
Hierarchical and Multi-Level Cost Aggregation For Stereo Matching. 2863-2867 - Vincent Monardo, Abhiram Iyer, Sean Donegan, Marc De Graef, Yuejie Chi:
Plug-And-Play Image Reconstruction Meets Stochastic Variance-Reduced Gradient Methods. 2868-2872 - Seungjun Jung, Junyoung Byun, Kyujin Shim, Sanghyun Hwang, Changick Kim:
Understanding Vqa For Negative Answers Through Visual And Linguistic Inference. 2873-2877 - Zhihong Liu, Lei Song, Xiaowan Hu, Haoqian Wang:
Margin Loss Based On Adaptive Metric For Image Recognition. 2878-2882 - Mina Bishay, Ahmed Ghoneim, Mohamed Ashraf, Mohammad Mavadati:
Choose Settings Carefully: Comparing Action Unit Detection At Different Settings Using A Large-Scale Dataset. 2883-2887 - Shashaank Mattur Aswatha, Mohamed-Chaker Larabi:
Deep High Dynamic Range Imaging Using Differently Exposed Stereo Images. 2888-2892 - Rupak Bose, Shivam Pande, Biplab Banerjee:
Two Headed Dragons: Multimodal Fusion And Cross Modal Transactions. 2893-2897 - Milind Gajanan Padalkar, Carlos Beltrán-González, Alessio Del Bue:
Multi-Illumination Fusion With Crack Enhancement Using Cycle-Consistent Losses. 2898-2902 - Roman Jacome, Jorge Bacca, Henry Arguello:
Deep-Fusion: An End-To-End Approach for Compressive Spectral Image Fusion. 2903-2907 - Mohamed Dahy Elkhouly, Theodore Tsesmelis, Alessio Del Bue, Stuart James:
Lights: Light Specularity Dataset For Specular Detection In Multi-View. 2908-2912 - Junchi Liu, Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King:
Accounting For Inter-Subject Variations in Deep Learning for Reduced-Dose Studies in Cardiac SPECT. 2913-2917 - Merlin A. Nau, Florian Schiffers, Yunhao Li, Bingjie Xu, Andreas K. Maier, Jack Tumblin, Marc Walton, Aggelos K. Katsaggelos, Florian Willomitzer, Oliver Cossairt:
Skinscan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation. 2918-2922 - Juewen Peng, Xianrui Luo, Ke Xian, Zhiguo Cao:
Interactive Portrait Bokeh Rendering System. 2923-2927 - Truong Thanh Nhat Mai, Edmund Y. Lam, Chul Lee:
Ghost-Free HDR Imaging Via Unrolling Low-Rank Matrix Completion. 2928-2932 - Liutao Yang, Zhongnian Li, Zongxiang Pei, Daoqiang Zhang:
Fs-Net: Filter Selection Network For Hyperspectral Reconstruction. 2933-2937 - Utku Gündogan, Figen S. Oktem:
Computational Spectral Imaging With Diffractive Lenses And Spectral Filter Arrays. 2938-2942 - Andoni I. Garmendia, Yongyi Yang, Chao Song, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King:
A Regularized Approach For Respiratory Motion Estimation From Short-Time Projection Data Frames In Emission Tomography. 2943-2947 - Domenico Iuso, Ehsan Nazemi, Nathanaël Six, Björn De Samber, Jan De Beenhouwer, Jan Sijbers:
CAD-Based Scatter Compensation For Polychromatic Reconstruction Of Additive Manufactured Parts. 2948-2952 - Ahmad Mustafa, Ghassan AlRegib:
Man-Recon: Manifold Learning For Reconstruction With Deep Autoencoder For Smart Seismic Interpretation. 2953-2957 - Qi Chen, Xiongkuo Min, Huiyu Duan, Yucheng Zhu, Guangtao Zhai:
Muiqa: Image Quality Assessment Database And Algorithm For Medical Ultrasound Images. 2958-2962 - Shuojie Wen, Bo Peng, Hao Jiang, Junkai Cao, Jingfeng Jiang:
Augmenting 3D Ultrasound Strain Elastography by combining Bayesian inference with local Polynomial fitting in Region-growing-based Motion Tracking. 2963-2967 - Prasan A. Shedligeri, Florian Schiffers, Semih Barutcu, Pablo Ruiz, Aggelos K. Katsaggelos, Oliver Cossairt:
Improving Acquisition Speed of X-Ray Ptychography Through Spatial Undersampling and Regularization. 2968-2972 - Stefan Hörmann, Zhenxiang Cao, Martin Knoche, Fabian Herzog, Gerhard Rigoll:
Face Aggregation Network For Video Face Recognition. 2973-2977 - Stefan Hörmann, Zeyuan Zhang, Martin Knoche, Torben Teepe, Gerhard Rigoll:
Attention-Based Partial Face Recognition. 2978-2982 - Rushuang Xu, MyeongAh Cho, Sangyoun Lee:
A Heterogeneous Face Recognition Via Part Adaptive And Relation Attention Module. 2983-2987 - Alejandro Peña, Aythami Morales, Ignacio Serna, Julian Fiérrez, Àgata Lapedriza:
Facial Expressions as a Vulnerability in Face Recognition. 2988-2992 - Rongxiao Tang, Shuang Sun, Feng Liu, Zhenhua Guo:
Weakly Supervised Fingerprint Pore Extraction With Convolutional Neural Network. 2993-2997 - Beibei Lin, Shunli Zhang, Yu Liu, Shengdi Qin:
Multi-Scale Temporal Information Extractor For Gait Recognition. 2998-3002 - Rubén Delgado-Escaño, Francisco M. Castro, Nicolás Guil, Vicky Kalogeiton, Manuel J. Marín-Jiménez:
Multimodal Gait Recognition Under Missing Modalities. 3003-3007 - Martin Rieger, Jutta Hämmerle-Uhl, Andreas Uhl:
Security Assessment of Selectively Encrypted Visual Data: Iris Recognition on Protected Samples. 3008-3012 - Renu Sharma, Arun Ross:
Image-Level Iris Morph Attack. 3013-3017 - Keivan Bahmani, Richard Plesh, Peter Johnson, Stephanie Schuckers, Timothy Swyka:
High Fidelity Fingerprint Generation: Quality, Uniqueness, And Privacy. 3018-3022 - Ankita Raj, Ambar Pal, Chetan Arora:
Identifying Physically Realizable Triggers for Backdoored Face Recognition Networks. 3023-3027 - Gaël Mahfoudi, Frédéric Morain-Nicolier, Florent Retraint, Marc Pic:
CMID: A New Dataset for Copy-Move Forgeries on ID Documents. 3028-3032 - Rodrigo Pessoa, Anil C. Kokaram, François Pitié, Mark Sugrue:
CNN-Based Video Codec Classifier For Multimedia Forensics. 3033-3037 - Edoardo Daniele Cannas, Sriram Baireddy, Emily R. Bartusiak, Sri Kalyan Yarlagadda, Daniel Mas Montserrat, Paolo Bestagini, Stefano Tubaro, Edward J. Delp:
Open-Set Source Attribution for Panchromatic Satellite Imagery. 3038-3042 - Robert Jöchl, Andreas Uhl:
Identification Of In-Field Sensor Defects In The Context Of Image Age Approximation. 3043-3047 - Byeong Cheon Kim, Youngjoon Yu, Yong Man Ro:
Robust Decision-Based Black-Box Adversarial Attack via Coarse-To-Fine Random Search. 3048-3052 - Simon Häring, Raphael Memmesheimer, Dietrich Paulus:
Action Segmentation on Representations of Skeleton Sequences Using Transformer Networks. 3053-3057 - Pietro Morerio, Matteo Bustreo, Yiming Wang, Alessio Del Bue:
End-To-End Pairwise Human Proxemics from Uncalibrated Single Images. 3058-3062 - Fang-Qi Li, Shi-Lin Wang:
Persistent Watermark For Image Classification Neural Networks By Penetrating The Autoencoder. 3063-3067 - Bianca Jansen Van Rensburg, Pauline Puteaux, William Puech, Jean-Pierre Pedeboy:
Homomorphic Two Tier Reversible Data Hiding In Encrypted 3D Objects. 3068-3072 - Chau Yi Li, Ricardo Sánchez-Matilla, Ali Shahin Shamsabadi, Riccardo Mazzon, Andrea Cavallaro:
On the Reversibility of Adversarial Attacks. 3073-3077 - Simone Milani:
ADAE: Adversarial Distributed Source Autoencoder For Point Cloud Compression. 3078-3082 - Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega:
Cylindrical Coordinates for Lidar Point Cloud Compression. 3083-3087 - Ran Sun, Gaojie Chen, Jie Ma, Pei An:
Straight Sampling Network for Point Cloud Learning. 3088-3092 - Gaojie Chen, Ran Sun, Jie Ma, Bingli Wu:
Attention-Based Local Region Aggregation Network For Hierarchical Point Cloud Learning. 3093-3097 - Jingyu Zhang, Chunhua Jiang, Xupeng Wang, Mumuxin Cai:
Td-Net: Topology Destruction Network For Generating Adversarial Point Cloud. 3098-3102 - Seyed Saber Mohammadi, Yiming Wang, Alessio Del Bue:
Pointview-GCN: 3D Shape Classification With Multi-View Point Clouds. 3103-3107 - Jiaming Ying, Xu Zhao:
Rgb-D Fusion For Point-Cloud-Based 3d Human Pose Estimation. 3108-3112 - Yongbin Liao, Hongyuan Zhu, Tao Chen, Jiayuan Fan:
Spcr: semi-supervised point cloud instance segmentation with perturbation consistency regularization. 3113-3117 - Mana Masuda, Ryo Hachiuma, Ryo Fujii, Hideo Saito, Yusuke Sekikawa:
Toward Unsupervised 3d Point Cloud Anomaly Detection Using Variational Autoencoder. 3118-3122 - Seema Kumari, Shanmuganathan Raman:
3d Point Cloud Completion Using Stacked Auto-Encoder For Structure Preservation. 3123-3127 - Philipp Adis, Nicolas Horst, Mathias Wien:
D3dlo: Deep 3d Lidar Odometry. 3128-3132 - Danillo Bracco Graziosi:
Video-Based Dynamic Mesh Coding. 3133-3137 - Vinit Veerendraveer Singh, Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu:
Mesh Classification With Dilated Mesh Convolutions. 3138-3142 - Joy Mazumder, Mohsen Zand, Michael A. Greenspan:
Multistream Validnet: Improving 6D Object Pose Estimation by Automatic Multistream Validation. 3143-3147 - Haizhuang Liu, Huimin Ma, Yanxian Chen, Xi Li, Tianyu Hu:
PLNL-3DSSD: Part-Aware 3D Single Stage Detector Using Local And Non-Local Attention. 3148-3152 - Xiaolong Lu, Baodi Liu, Weifeng Liu, Kai Zhang, Ye Li, Xiaoping Lu:
Linked Attention-Based Dynamic Graph Convolution Module for Point Cloud Classification. 3153-3157 - Yang Li, Yuichi Tanaka:
Structural Features In Feature Space For Structure-Aware Graph Convolution. 3158-3162 - Baichuan Huang, Hongwei Yi, Can Huang, Yijia He, Jingbin Liu, Xiao Liu:
M3VSNET: Unsupervised Multi-Metric Multi-View Stereo Network. 3163-3167 - Le Zhou, Nate Lannan, Guoliang Fan:
Human Motion Enhancement via Tobit Particle Filtering and Differential Evolution. 3168-3172 - Thang Vu, Kookhoi Kim, Haeyong Kang, Xuan Thanh Nguyen, Tung Minh Luu, Chang D. Yoo:
Sphererpn: Learning Spheres For High-Quality Region Proposals On 3d Point Clouds Object Detection. 3173-3177 - Guoxiang Zhang, YangQuan Chen:
A Metric For Evaluating 3d Reconstruction And Mapping Performance With No Ground Truthing. 3178-3182 - Hongyi Xu, Fengqi Liu, Qianyu Zhou, Jinkun Hao, Zhijie Cao, Zhengyang Feng, Lizhuang Ma:
Semi-Supervised 3d Object Detection Via Adaptive Pseudo-Labeling. 3183-3187 - Jiahao Luo, Fahim Khan, Issei Mori, Akila de Silva, Eric Ruezga, James Davis:
Face Models: How Good Does My Data Need To Be? 3188-3192 - Hui Deng, Qingmin Liao, Zongqing Lu, Jing-Hao Xue:
Parallax Contextual Representations For Stereo Matching. 3193-3197 - Jialiang Wang, Todd E. Zickler:
Level Set Stereo For Cooperative Grouping With Occlusion. 3198-3202 - Hengli Wang, Rui Fan, Ming Liu:
SCV-Stereo: Learning Stereo Matching From a Sparse Cost Volume. 3203-3207 - Rafia Rahim, Faranak Shamsafar, Andreas Zell:
Separable Convolutions for Optimizing 3D Stereo Networks. 3208-3212 - Hyunmin Lee, Jaesik Park:
Stad: Stable Video Depth Estimation. 3213-3217 - Chenweinan Jiang, Haichun Liu, Lanzhen Li, Changchun Pan:
Attention-Based Self-Supervised Learning Monocular Depth Estimation With Edge Refinement. 3218-3222 - James L. Gray, Aous Thabit Naman, David S. Taubman:
Welsch Based Multiview Disparity Estimation. 3223-3227 - Guanglie Jia, Jianjiang Feng, Jie Zhou:
3D Multi-Object Online Tracking with Multi-View Clustering. 3228-3232 - Akihiko Sayo, Diego Thomas, Hiroshi Kawasaki, Yuta Nakashima, Katsushi Ikeuchi:
PoseRN: A 2D Pose Refinement Network For Bias-Free Multi-View 3D Human Pose Estimation. 3233-3237 - Baoxing Li, Xu Zhao:
Human Carving: A Parsing-Based Framework For 3d Human Reconstruction. 3238-3242 - Aditya Panda, Dipti Prasad Mukherjee:
Monocular 3D Human Pose Estimation by Multiple Hypothesis Prediction and Joint Angle Supervision. 3243-3247 - Yueh-Cheng Huang, Chin-Wei Liu, Jen-Hui Chuang:
Using Fisheye Camera For Cost-Effective Multi-View People Localization. 3248-3252 - Kohei Tateishi, Kohei Sakai, Chihiro Tsutake, Keita Takahashi, Toshiaki Fujii:
Factorized Modulation For Singleshot Lightfield Acquisition. 3253-3257 - Thuc Nguyen Huu, Vinh Van Duong, Byeungwoo Jeon:
FAST and Efficient Microlens-Based Motion Search for Plenoptic Video Coding. 3258-3262 - Zidong Cao, Ang Li, Zejian Yuan:
Self-Supervised Depth Completion via Adaptive Sampling and Relative Consistency. 3263-3267 - Antonio Agudo:
Piecewise Bézier Space: Recovering 3D Dynamic Motion From Video. 3268-3272 - Pierre-Alain Langlois, Matthew Fisher, Oliver Wang, Vladimir G. Kim, Alexandre Boulch, Renaud Marlet, Bryan C. Russell:
3D Reconstruction By Parameterized Surface Mapping. 3273-3277 - Kai Lv, Zongqing Lu, Qingmin Liao:
A Region-Based Descriptor Network for Uniformly Sampled Keypoints. 3278-3282 - Xuanyu Xiao, Zongqing Lu, Jing-Hao Xue:
CLUSAC: Clustering Sample Consensus for Fundamental Matrix Estimation. 3283-3287 - Yue Yin, Chris McCarthy, Dana Rezazadegan:
Real-Time 3D Hand-Object Pose Estimation for Mobile Devices. 3288-3292 - Shan Wang, Xukun Shen, Kun Yu:
Real-Time 3d Face Reconstruction From Single Image Using End-To-End Cnn Regression. 3293-3297 - Jisheng Li, Yuze He, Yubin Hu, Yuxing Han, Jiangtao Wen:
Learning To Compose 6-DOF Omnidirectional Videos Using Multi-Sphere Images. 3298-3302 - Kunyao Chen, Fei Yin, Baichuan Wu, Bang Du, Truong Nguyen:
Mesh Completion with Virtual Scans. 3303-3307 - Keyao Li, Ge Li, Thomas H. Li:
Rethinking Training Objective For Self-Supervised Monocular Depth Estimation: Semantic Cues To Rescue. 3308-3312 - Ido Freeman, Kun Zhao, Anton Kummert:
Polynomial Trajectory Predictions for Improved Learning Performance. 3313-3317 - Luca Anzalone, Silvio Barra, Michele Nappi:
Reinforced Curriculum Learning For Autonomous Driving In Carla. 3318-3322 - Mazin Hnewa, Hayder Radha:
Multiscale Domain Adaptive Yolo For Cross-Domain Object Detection. 3323-3327 - Hengli Wang, Rui Fan, Ming Liu:
Co-Teaching: an Ark to Unsupervised Stereo Matching. 3328-3332 - Ping-Yang Chen, Jun-Wei Hsieh, Munkhjargal Gochoo, Yong-Sheng Chen:
Light-Weight Mixed Stage Partial Network for Surveillance Object Detection with Background Data Augmentation. 3333-3337 - Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau:
Multimodal Polarimetric And Color Fusion For Road Scene Analysis In Adverse Weather Conditions. 3338-3342 - Chen-Chou Lo, Patrick Vandewalle:
Depth Estimation From Monocular Images And Sparse Radar Using Deep Ordinal Regression Network. 3343-3347 - Yujie Jin, Xiangxuan Ren, Fengxiang Chen, Weidong Zhang:
Robust Monocular 3D Lane Detection With Dual Attention. 3348-3352 - Victor Besnier, David Picard, Alexandre Briot:
Learning Uncertainty for Safety-Oriented Semantic Segmentation in Autonomous Driving. 3353-3357 - Iason Karakostas, Vasileios Mygdalis, Ioannis Pitas:
Adversarial Optimization Scheme For Online Tracking Model Adaptation In Autonomous Systems. 3358-3362 - Mengyun Liu, Na Qi, Yunhui Shi, Baocai Yin:
An Attention Fusion Network For Event-Based Vehicle Object Detection. 3363-3367 - Yana Nehmé, Mona Abid, Guillaume Lavoué, Matthieu Perreira Da Silva, Patrick Le Callet:
Cmdm-Vac: Improving A Perceptual Quality Metric For 3D Graphics By Integrating A Visual Attention Complexity Measure. 3368-3372 - Linyao Gao, Tingyu Fan, Jianqiang Wan, Yiling Xu, Jun Sun, Zhan Ma:
Point Cloud Geometry Compression Via Neural Graph Sampling. 3373-3377 - Davi Lazzarotto, Evangelos Alexiou, Touradj Ebrahimi:
On Block Prediction For Learning-Based Point Cloud Compression. 3378-3382 - Ismael Seidel, Davi Rabbouni Freitas, Camilo C. Dorea, Diogo C. Garcia, Renan U. B. Ferreira, Rogério Higa, Ricardo L. de Queiroz, Vanessa Testoni:
Memory-Friendly Segmentation Refinement for Video-Based Point Cloud Compression. 3383-3387 - Cristiano Santos, Mateus M. Gonçalves, Guilherme Corrêa, Marcelo Schiavon Porto:
Block-Based Inter-Frame Prediction For Dynamic Point Cloud Compression. 3388-3392 - Eduardo Pavez, André L. Souto, Ricardo L. de Queiroz, Antonio Ortega:
Multi-Resolution Intra-Predictive Coding Of 3d Point Cloud Attributes. 3393-3397 - Muhammad Shahzeb Khan Gul, M. Umair Mukati, Michel Bätz, Søren Forchhammer, Joachim Keinert:
Light-Field View Synthesis Using A Convolutional Block Attention Module. 3398-3402 - Julia Navarro, Neus Sabater:
Compact And Adaptive Multiplane Images For View Synthesis. 3403-3407 - Emre Can Kaya, Sebastian Schwarz, Ioan Tabus:
Refining The Bounding Volumes for Lossless Compression of Voxelized Point Clouds Geometry. 3408-3412 - Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Faouzi Alaya Cheikh:
Convolutional Neural Networks for Omnidirectional Image Quality Assessment: Pre-Trained or Re-Trained? 3413-3417 - Karen Stephen, Jianquan Liu, Vivek Barsopia:
A Hybrid two-stream approach for Multi-Person Action Recognition in TOP-VIEW 360° Videos. 3418-3422 - Silvia Rossi, Irene Viola, Laura Toni, Pablo César:
A New Challenge: Behavioural Analysis Of 6-DOF User When Consuming Immersive Media. 3423-3427 - Pedro Gomes, Silvia Rossi, Laura Toni:
Spatio-Temporal Graph-RNN for Point Cloud Prediction. 3428-3432 - Jani Mäkinen, Erdem Sahin, Ugur Akpinar, Atanas P. Gotchev:
Computational Coherent Imaging For Accommodation-Invariant Near-Eye Displays. 3433-3437 - Runyu Yang, Dong Liu, Siwei Ma, Feng Wu, Wen Gao:
Knowledge Distillation From End-To-End Image Compression To Vvc Intra Coding For Perceptual Quality Enhancement. 3438-3442 - Liang Zhao, Xin Zhao, Shan Liu:
Semi-Decoupled Partitioning for Video Coding Beyond AV1. 3443-3447 - Limin Wang, Seungwook Hong, Krit Panusopone:
Gradual Decoding Refresh For Versatile Video Coding. 3448-3452 - Thomas Friedrich, Chu-Ping Yu, Johan Verbeek, Timothy Pennycook, Sandra Van Aert:
Phase Retrieval From 4-Dimensional Electron Diffraction Datasets. 3453-3457 - Lionel Fiske, Aggelos K. Katsaggelos, Maurice C. G. Aalders, Matthias Alfeld, Marc Walton, Oliver Cossairt:
A Data Fusion Method For The Delayering Of X-Ray Fluorescence Images Of Painted Works Of Art. 3458-3462 - Yifeng Fan, Zhizhen Zhao:
Cryo-Electron Microscopy Image Denoising Using Multi-Frequency Vector Diffusion Maps. 3463-3467 - Yair Ben Sahel, Gilli Dardikman-Yoffe, Yonina C. Eldar, Shirsendu Gosh, Gilad Haran:
Super-Resolved Imaging of Early-Stage Dynamics in the Immune Response. 3468-3472 - Xiaogang Yang, Christian Schroer:
Strategies of Deep Learning for Tomographic Reconstruction. 3473-3476 - Aniket Tekawade, Zhengchun Liu, Peter Kenesei, Tekin Bicer, Francesco De Carlo, Rajkumar Kettimuthu, Ian T. Foster:
3d Autoencoders For Feature Extraction In X-Ray Tomography. 3477-3481 - Thilo Balke, Alexander M. Long, Sven C. Vogel, Brendt Wohlberg, Charles A. Bouman:
Hyperspectral Neutron CT with Material Decomposition. 3482-3486 - Luisa Watkins, Sheila W. Seidel, Minxu Peng, Akshay Agarwal, Christopher C. Yu, Vivek K. Goyal:
Robustness of Time-Resolved Measurement to Unknown and Variable Beam Current in Particle Beam Microscopy. 3487-3491 - Markus Wedekind, Eric Oertel, Susana Castillo, Marcus A. Magnor:
Reducing Stair Artifacts in CT Reconstruction. 3492-3496 - Ling Huang, Deruo Cheng, Xulei Yang, Tong Lin, Yiqiong Shi, Kaiyi Yang, Bah-Hwee Gwee, Bihan Wen:
Joint Anomaly Detection and Inpainting for Microscopy Images Via Deep Self-Supervised Learning. 3497-3501 - Sridhar Niverty, Hamid Torbatissaraf, Viktor V. Nikitin, Vincent De Andrade, Stanislau Niauzorau, Natalia Kublik, Bruno Azeredo, Aniket Tekawade, Francesco De Carlo, Nikhilesh Chawla:
Computational Imaging in 3D X-Ray Microscopy: Reconstruction, Image Segmentation and Time-Evolved Experiments. 3502-3506 - Sungmin Cho, Hyeseong Kim, Junseok Kwon:
Filter Pruning Via Softmax Attention. 3507-3511 - Younes Tahiri, Mohamed El Amine Seddik, Mohamed Tamaazousti:
Optimization-Based Neural Networks Compression. 3512-3516 - George Retsinas, Athena Elafrou, Georgios I. Goumas, Petros Maragos:
Online Weight Pruning Via Adaptive Sparsity Loss. 3517-3521 - Paul Haase, Daniel Becking, Heiner Kirchhoffer, Karsten Müller, Heiko Schwarz, Wojciech Samek, Detlev Marpe, Thomas Wiegand:
Encoder Optimizations For The NNR Standard On Neural Network Compression. 3522-3526 - Andrea Bragagnolo, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto:
On the Role of Structured Pruning for Neural Network Compression. 3527-3531 - Homayun Afrabandpey, Anton Muravev, Hamed R. Tavakoli, Honglei Zhang, Francesco Cricri, Moncef Gabbouj, Emre Aksu:
Mind The Structure: Adopting Structural Information For Deep Neural Network Compression. 3532-3536 - Muhammad Tayyab, Fahad Ahmad Khan, Abhijit Mahalanobis:
Compressing Deep CNNs Using Basis Representation and Spectral Fine-Tuning. 3537-3541 - Hamed R. Tavakoli, Joachim Wabnig, Francesco Cricri, Honglei Zhang, Emre Aksu, Iraj Saniee:
Hybrid Pruning And Sparsification. 3542-3546 - Dimitris Papadimitriou, Swayambhoo Jain:
Data-Driven Low-Rank Neural Network Compression. 3547-3551 - Yoojin Choi, Mostafa El-Khamy, Jungwon Lee:
Zero-Shot Learning Of A Conditional Generative Adversarial Network For Data-Free Network Quantization. 3552-3556 - Muhammad Umair Haider, Murtaza Taj:
Comprehensive Online Network Pruning Via Learnable Scaling Factors. 3557-3561 - Hyomin Choi, Ivan V. Bajic:
Latent-Space Scalability for Multi-Task Collaborative Intelligence. 3562-3566 - Song Wang, Xin Guo, Yun Tie, Lin Qi, Ling Guan:
Discriminative Patch Descriptor Learning With Focal Triplet Loss Function. 3567-3571 - Changlei Lu, Bin Liu, Wenbo Zhou, Qi Chu, Nenghai Yu:
Deepfake Video Detection Using 3D-Attentional Inception Convolutional Neural Network. 3572-3576 - Jiashang Hu, Shilin Wang, Xiaoyong Li:
Improving the Generalization Ability of Deepfake Detection via Disentangled Representation Learning. 3577-3581 - Luchuan Song, Guojun Yin, Bin Liu, Yuhui Zhang, Nenghai Yu:
Fsft-Net: Face Transfer Video Generation With Few-Shot Views. 3582-3586 - Gen Li, Yun Cao, Xianfeng Zhao:
Exploiting Facial Symmetry to Expose Deepfakes. 3587-3591 - Mazen Abdelfattah, Kaiwen Yuan, Z. Jane Wang, Rabab Ward:
Towards Universal Physical Attacks On Cascaded Camera-Lidar 3d Object Detection Models. 3592-3596 - Yingbin Zhou, Anwei Luo, Xiangui Kang, Siwei Lyu:
Face Forgery Detection Based On Segmentation Network. 3597-3601 - Jia Qi Lim, Chee Seng Chan:
From Gradient Leakage To Adversarial Attacks In Federated Learning. 3602-3606 - Kang Deng, Anjie Peng, Wanli Dong, Hui Zeng:
Detecting C&W Adversarial Images Based on Noise Addition-Then-Denoising. 3607-3611 - Thibault Maho, Benoît Bonnet, Teddy Furon, Erwan Le Merrer:
RoBIC: A Benchmark Suite For Assessing Classifiers Robustness. 3612-3616 - Yaopeng Wang, Lehui Xie, Ximeng Liu, Jia-Li Yin, Tingjie Zheng:
Model-Agnostic Adversarial Example Detection Through Logit Distribution Learning. 3617-3621 - Soroush Fatemifar, Muhammad Awais, Ali Akbari, Josef Kittler:
Particle Swarm And Pattern Search Optimisation Of An Ensemble Of Face Anomaly Detectors. 3622-3626 - Xiying Wang, Rongrong Ni, Wenjie Li, Yao Zhao:
Adversarial Attack on Fake-Faces Detectors Under White and Black Box Scenarios. 3627-3631 - Zida Cheng, Siheng Chen, Ya Zhang:
Semi-Supervised 3D Hand-Object Pose Estimation Via Pose Dictionary Learning. 3632-3636 - Kévin Riou, Suiyi Ling, Guillaume Gallot, Patrick Le Callet:
Seeing By Haptic Glance: Reinforcement Learning Based 3d Object Recognition. 3637-3641 - Xiaobao Deng, Xiaolin Hu, Nicholas E. Buris, Ping An, Yilei Chen:
3D Grid Transformation Network For Point Cloud Completion. 3642-3646 - Yawen Lu, Yuhao Zhu, Guoyu Lu:
3D SceneFlowNet: Self-Supervised 3D Scene Flow Estimation Based on Graph CNN. 3647-3651 - Runfa Li, Truong Nguyen:
SM3D: Simultaneous Monocular Mapping and 3D Detection. 3652-3656 - Jing Huang, Xiaolin Huang, Jie Yang:
Residual Enhanced Multi-Hypergraph Neural Network. 3657-3661 - Silviu S. Andrei, Gady Agam:
Unsupervised Learning Of Visual Odometry Using Direct Motion Modeling. 3662-3666 - Francesco Banterle, Rui Gong, Massimiliano Corsini, Fabio Ganovelli, Luc Van Gool, Paolo Cignoni:
A Deep Learning Method for Frame Selection in Videos for Structure from Motion Pipelines. 3667-3671 - Kodai Tokieda, Takafumi Iwaguchi, Hiroshi Kawasaki:
High-Frequency Shape Recovery from Shading by CNN and Domain Adaptation. 3672-3676 - SeulGi Hong, Min-Kook Choi:
Blockwise Temporal-Spatial Pathway Network. 3677-3681 - Yue Zhang, Akin Caliskan, Adrian Hilton, Jean-Yves Guillemaut:
A Novel Multi-View Labelling Network Based on Pairwise Learning. 3682-3686 - Nina Felicitas Heide, Erik Müller, Janko Petereit, Michael Heizmann:
X3SEG: Model-Agnostic Explanations For The Semantic Segmentation Of 3D Point Clouds With Prototypes And Criticism. 3687-3691 - Ryan Benkert, Oluwaseun Joseph Aribido, Ghassan AlRegib:
Explaining Deep Models Through Forgettable Learning Dynamics. 3692-3696 - Mohit Prabhushankar, Ghassan AlRegib:
Extracting Causal Visual Features For Limited Label Classification. 3697-3701 - Ankit Yadu, P. K. Suhas, Neelam Sinha:
Class Specific Interpretability in CNN Using Causal Analysis. 3702-3706 - Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov:
Understanding And Manipulating Neural Net Features Using Sparse Oblique Classification Trees. 3707-3711 - Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán:
Sampling The "Inverse Set" of a Neuron. 3712-3716 - Alexander Hepburn, Raúl Santos-Rodríguez:
Explainers in the Wild: Making Surrogate Explainers Robust to Distortions Through Perception. 3717-3721 - Jianping Lin, Dong Liu, Jie Liang, Houqiang Li, Feng Wu:
A Deeply Modulated Scheme for Variable-Rate Video Compression. 3722-3726 - Binzhe Li, Shurun Wang, Shiqi Wang:
Defending Against Noise by Characterizing the Rate-Distortion Functions in End-to-End Noisy Image Compression. 3727-3731 - Mustafa Akin Yilmaz, Onur Keles, Hilal Güven, Ahmet Murat Tekalp, Junaid Malik, Serkan Kiranyaz:
Self-Organized Variational Autoencoders (Self-Vae) For Learned Image Compression. 3732-3736 - Michael Schäfer, Sophie Pientka, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Rate-Distortion-Optimization for Deep Image Compression. 3737-3741 - Youmin Xu, Jian Zhang:
Expressive And Compressive Gan Inversion Network. 3742-3746 - Tassnim Dardouri, Mounir Kaaniche, Amel Benazza-Benyahia, Jean-Christophe Pesquet, Gabriel Dauphin:
A Neural Network Approach For Joint Optimization Of Predictors In Lifting-Based Image Coders. 3747-3751 - Xinyue Li, Aous Thabit Naman, David Taubman:
Machine-Learning Based Secondary Transform for Improved Image Compression in JPEG2000. 3752-3756 - Onur G. Guleryuz, Philip A. Chou, Hugues Hoppe, Danhang Tang, Ruofei Du, Philip Davidson, Sean Ryan Fanello:
Sandwiched Image Compression: Wrapping Neural Networks Around A Standard Codec. 3757-3761 - Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Marcel Worring:
Deep Context-Encoding Network For Retinal Image Captioning. 3762-3766 - Jeevan Jamakayala, Rama Krishna Sai Subrahmanyam Gorthi:
Feature Fusion Ensemble Architecture With Active Learning For Microscopic Blood Smear Analysis. 3767-3771 - Piotr Bosowski, Joanna Bosowska, Jakub Nalepa:
Evolving Deep Ensembles For Detecting Covid-19 In Chest X-Rays. 3772-3776 - Yu Song, Xu Qiao, Yutaro Iwamoto, Yen-Wei Chen:
A Teacher-Student Learning Based On Composed Ground-Truth Images For Accurate Cephalometric Landmark Detection. 3777-3781 - Haichao Cao, Shiliang Pu, Wenming Tan:
A Novel Method For Segmentation Of Breast Masses Based On Mammography Images. 3782-3786 - Mihail Burduja, Radu Tudor Ionescu:
Unsupervised Medical Image Alignment With Curriculum Learning. 3787-3791 - Soheil Zabihi, Elahe Rahimian, Amir Asif, Arash Mohammadi:
SepUnet: Depthwise Separable Convolution Integrated U-Net For MRI Reconstruction. 3792-3796 - Li Zhou, Yan Luo:
Deep Features Fusion with Mutual Attention Transformer for Skin Lesion Diagnosis. 3797-3801 - Fuchang Han, Shenghui Liao, Siming Yuan, Renzhong Wu, Yuqian Zhao, Yu Xie:
Explainable Prediction Of Renal Cell Carcinoma From Contrast-Enhanced CT Images Using Deep Convolutional Transfer Learning And The Shapley Additive Explanations Approach. 3802-3806 - Yung-Chih Chen, Jun-Wei Hsieh, Yao-Hong Yang, Chien-Hung Lee, Pei-Yi Yu, Ping-Yang Chen, Arpita Samanta Santa:
Towards Deep Learning-Based Sarcopenia Screening with Body Joint Composition Analysis. 3807-3811 - Muhammad Usman Qadeer, Salar Saeed, Murtaza Taj, Abubakr Muhammad:
Spatio-Temporal Crop Classification On Volumetric Data. 3812-3816 - Tongle Wu, Bin Gao, Wai Lok Woo:
Sliced Sparsity Measure For Tensor To Multispectral Image Denoising. 3817-3821 - Shan Wang, Hanlin Wu, Libao Zhang:
Afdn: Attention-Based Feedback Dehazing Network For Uav Remote Sensing Image Haze Removal. 3822-3826 - Haoran Xu, Mingyi He, Zhibo Rao, Wenyao Li:
Him-Net: A New Neural Network Approach for SAR and Optical Image Template Matching. 3827-3831 - Ningyang Li, Zhaohui Wang:
Spectral-Spatial Fused Attention Network for Hyperspectral Image Classification. 3832-3836 - Marija Vella, Bowen Zhang, Wei Chen, João F. C. Mota:
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization. 3837-3841 - Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger, Begüm Demir:
A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels. 3842-3846 - Jun Chen, Yuxuan Jiang, Linbo Luo, Yue Gu, Kangle Wu:
Building Footprint Generation by Integrating U-Net with Deepened Space Module. 3847-3851 - Yufeng Huang, Xiang Chen:
Single Remote Sensing Image Dehazing Using a Dual-Step Cascaded Residual Dense Network. 3852-3856 - Md. Adnan Arefeen, Sumaiya Tabassum Nimi, Md. Yusuf Sarwar Uddin, Zhu Li:
A Lightweight Relu-Based Feature Fusion For Aerial Scene Classification. 3857-3861 - Jinhyun Jang, Taeyong Song, Kwanghoon Sohn:
Semantic-Aware Network for Aerial-To-Ground Image Synthesis. 3862-3866 - Haiwei Wu, Jiantao Zhou:
GIID-NET: Generalizable Image Inpainting Detection Network. 3867-3871 - Chenglin Yao, Shihe Wang, Jialu Zhang, Wentao He, Heshan Du, Jianfeng Ren, Ruibin Bai, Jiang Liu:
rPPG-Based Spoofing Detection for Face Mask Attack using Efficientnet on Weighted Spatial-Temporal Representation. 3872-3876 - MaungMaung AprilPyone, Hitoshi Kiya:
Transfer Learning-Based Model Protection With Secret Key. 3877-3881 - Zhengbo Luo, Sei-Ichiro Kamata, Zitang Sun:
Transformer And Node-Compressed Dnn Based Dual-Path System For Manipulated Face Detection. 3882-3886 - Abul Hasnat, Nadiya Shvai, Amir Nakib:
CNN Classifier's Robustness Enhancement when Preserving Privacy. 3887-3891 - Shao-Yuan Lo, Vishal M. Patel:
Error Diffusion Halftoning Against Adversarial Examples. 3892-3896 - Chaehun Shin, Jangho Lee, Byunggook Na, Sungroh Yoon:
Personalized Face Authentication Based On Few-Shot Meta-Learning. 3897-3901 - Way Tan, Bihan Wen, Cen Chen, Zeng Zeng, Xulei Yang:
Systematic Analysis of Circular Artifacts for Stylegan. 3902-3906 - Yanzhen Ren, Wuyang Liu, Dengkai Liu, Lina Wang:
Recalibrated Bandpass Filtering On Temporal Waveform For Audio Spoof Detection. 3907-3911 - Quanyu Liao, Yuezun Li, Xin Wang, Bin Kong, Bin Zhu, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu:
Imperceptible Adversarial Examples For Fake Image Detection. 3912-3916 - Yonghui Wang, Vahid Zarghami, Suxia Cui:
Fake Face Detection using Local Binary Pattern and Ensemble Modeling. 3917-3921 - Can Bakiskan, Metehan Cekic, Ahmet Dundar Sezer, Upamanyu Madhow:
A Neuro-Inspired Autoencoding Defense Against Adversarial Attacks. 3922-3926
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