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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 - S. Cornelissen, J. 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