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ORCIDWACV 2019: Waikoloa Village, HI, USA
- IEEE Winter Conference on Applications of Computer Vision, WACV 2019, Waikoloa Village, HI, USA, January 7-11, 2019. IEEE 2019, ISBN 978-1-7281-1975-5
Oral Session 1A: Action Recognition, Infrared/Spectral Imaging, Medical & Bioinformatics Image, Real-Time Tracking
- Bo Zhou, Antong Chen, Randolph Crawford, Belma Dogdas, Gregory Goldmacher:
A Progressively-Trained Scale-Invariant and Boundary-Aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions. 1-10 - Soumya Shubhra Ghosh, Yang Hua
, Sankha Subhra Mukherjee, Neil Martin Robertson:
IEGAN: Multi-Purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network. 11-20 - Philipe Ambrozio Dias, Zhou Shen, Amy Tabb, Henry Medeiros:
FreeLabel: A Publicly Available Annotation Tool Based on Freehand Traces. 21-30 - Suvam Patra, Kartikeya Gupta, Faran Ahmad, Chetan Arora, Subhashis Banerjee:
EGO-SLAM: A Robust Monocular SLAM for Egocentric Videos. 31-40 - Qingsen Yan, Dong Gong, Pingping Zhang, Qinfeng Shi, Jinqiu Sun, Ian David Reid, Yanning Zhang:
Multi-Scale Dense Networks for Deep High Dynamic Range Imaging. 41-50 - Guojing Cong, Giacomo Domeniconi, Joshua Shapiro, Chih-Chieh Yang, Barry Chen:
Video Action Recognition With an Additional End-to-End Trained Temporal Stream. 51-60 - Sunoh Kim, Kimin Yun, Jongyoul Park, Jin Young Choi:
Skeleton-Based Action Recognition of People Handling Objects. 61-70 - Srijan Das, Arpit Chaudhary, François Brémond, Monique Thonnat:
Where to Focus on for Human Action Recognition? 71-80 - Puneet Mathur, Meghna Ayyar, Rajiv Ratn Shah, Sg Sharma:
Exploring Classification of Histological Disease Biomarkers From Renal Biopsy Images. 81-90 - Liheng Zhang, Vivek Singh, Guo-Jun Qi, Terrence Chen:
Cascade Attention Machine for Occluded Landmark Detection in 2D X-Ray Angiography. 91-100 - Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao:
Model-Free Tracking With Deep Appearance and Motion Features Integration. 101-110 - Marjaneh Safaei, Hassan Foroosh:
Still Image Action Recognition by Predicting Spatial-Temporal Pixel Evolution. 111-120 - Yuyin Zhou, Yan Wang, Peng Tang, Song Bai, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training. 121-140 - Joshua Gleason, Rajeev Ranjan, Steven Schwarcz, Carlos Domingo Castillo, Jun-Cheng Chen, Rama Chellappa:
A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos. 141-150 - Xiyang Dai, Bharat Singh, Joe Yue-Hei Ng, Larry S. Davis:
TAN: Temporal Aggregation Network for Dense Multi-Label Action Recognition. 151-160 - Peng Chu, Heng Fan, Chiu C. Tan, Haibin Ling:
Online Multi-Object Tracking With Instance-Aware Tracker and Dynamic Model Refreshment. 161-170 - Xingchao Liu, Ce Li, Hongren Wang, Xiantong Zhen, Baochang Zhang, Qixiang Ye:
Starts Better and Ends Better: A Target Adaptive Image Signature Tracker. 171-178 - Unaiza Ahsan, Rishi Madhok, Irfan A. Essa:
Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition. 179-189 - Sathyanarayanan N. Aakur, Fillipe D. M. de Souza, Sudeep Sarkar:
Going Deeper With Semantics: Video Activity Interpretation Using Semantic Contextualization. 190-199 - Harshala Gammulle, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation. 200-209
Oral Session 1B: Early & Biologically-Inspired Vision, Evaluation & Comparison of Vision Algorithms, Vision & Languages, Vision for Robotics
- He Zhang, Lingqiu Jin, Hao Zhang, Cang Ye:
A Comparative Analysis of Visual-Inertial SLAM for Assisted Wayfinding of the Visually Impaired. 210-217 - Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi:
Self-Paced Adversarial Training for Multimodal Few-Shot Learning. 218-226 - Somak Aditya, Rudra Saha, Yezhou Yang, Chitta Baral:
Spatial Knowledge Distillation to Aid Visual Reasoning. 227-235 - Abhishek Sinha, Akilesh B, Mausoom Sarkar, Balaji Krishnamurthy:
Attention Based Natural Language Grounding by Navigating Virtual Environment. 236-244 - Runzhou Ge, Jiyang Gao, Kan Chen, Ram Nevatia:
MAC: Mining Activity Concepts for Language-Based Temporal Localization. 245-253 - Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Jathushan Rajasegaran, Suranga Seneviratne, Ranga Rodrigo:
TextCaps: Handwritten Character Recognition With Very Small Datasets. 254-262 - Li Ren, Guo-Jun Qi, Kien A. Hua:
Improving Diversity of Image Captioning Through Variational Autoencoders and Adversarial Learning. 263-272 - Hamed Rezazadegan Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji:
Digging Deeper Into Egocentric Gaze Prediction. 273-282 - Yimin Zhou, Yiwei Sun, Vasant G. Honavar:
Improving Image Captioning by Leveraging Knowledge Graphs. 283-293 - Ronny Hänsch, Philipp Wiesner, Sophie Wendler, Olaf Hellwich:
Colorful Trees: Visualizing Random Forests for Analysis and Interpretation. 294-302 - Xinhua Zhang, Lance R. Williams:
Euclidean Invariant Recognition of 2D Shapes Using Histograms of Magnitudes of Local Fourier-Mellin Descriptors. 303-311 - Yu Wang, Jien Kato:
Good Choices for Deep Convolutional Feature Encoding. 312-320 - Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong:
Multi-Scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets. 321-330 - Yilun Chen, Praveen Palanisamy, Priyantha Mudalige, Katharina Muelling, John M. Dolan:
Learning On-Road Visual Control for Self-Driving Vehicles With Auxiliary Tasks. 331-338 - Lijun Li, Boqing Gong:
End-to-End Video Captioning With Multitask Reinforcement Learning. 339-348 - Yundong Zhang, Juan Carlos Niebles, Alvaro Soto:
Interpretable Visual Question Answering by Visual Grounding From Attention Supervision Mining. 349-357 - K. J. Joseph, Arghya Pal, Sailaja Rajanala, Vineeth N. Balasubramanian:
C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis. 358-366 - Tianyang Wang, Jun Huan, Michelle Zhu:
Instance-Based Deep Transfer Learning. 367-375 - Diqi Chen, Yizhou Wang, Hongyu Ren, Wen Gao:
No-Reference Image Quality Assessment: An Attention Driven Approach. 376-385 - Hao Tang, Heng Wei, Wei Xiao, Wei Wang, Dan Xu, Yan Yan, Nicu Sebe:
Deep Micro-Dictionary Learning and Coding Network. 386-395
Oral Session 2A: Vision Systems & Applications
- Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko:
Joint Event Detection and Description in Continuous Video Streams. 396-405 - Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard Hartley, Piotr Koniusz:
Recovering Faces From Portraits with Auxiliary Facial Attributes. 406-415 - Theodore Tsesmelis, Irtiza Hasan, Marco Cristani, Alessio Del Bue, Fabio Galasso:
Human-Centric Light Sensing and Estimation From RGBD Images: The Invisible Light Switch. 416-425 - Jonathan D. Jones, Gregory D. Hager, Sanjeev Khudanpur:
Toward Computer Vision Systems That Understand Real-World Assembly Processes. 426-434 - Bo Yang Hsueh, Wei Li, I-Chen Wu:
Stochastic Gradient Descent With Hyperbolic-Tangent Decay on Classification. 435-442 - John Paul Tan Yusiong, Prospero C. Naval:
AsiANet: Autoencoders in Autoencoder for Unsupervised Monocular Depth Estimation. 443-451 - Vishal Kaushal, Rishabh K. Iyer, Khoshrav Doctor, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan:
Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance. 452-461 - Hanbit Lee, Sang-goo Lee:
Fashion Attributes-to-Image Synthesis Using Attention-Based Generative Adversarial Network. 462-470 - Shamit Lal, Shivam Duggal, Indu Sreedevi:
Online Video Summarization: Predicting Future to Better Summarize Present. 471-480 - Tri Huynh, Jay Pillai, Eunyoung Kim, Kristen Aw, Jack Sim, Ken Goldman, Rui Min:
Bringing Vision to the Blind: From Coarse to Fine, One Dollar at a Time. 481-490 - Marcus Klasson, Cheng Zhang, Hedvig Kjellström:
A Hierarchical Grocery Store Image Dataset With Visual and Semantic Labels. 491-500 - Theodore Tsesmelis, Irtiza Hasan, Marco Cristani, Fabio Galasso, Alessio Del Bue:
RGBD2lux: Dense Light Intensity Estimation With an RGBD Sensor. 501-510 - Xiao Ma, Lina Mezghani, Kimberly Wilber, Hui Hong, Robinson Piramuthu, Mor Naaman, Serge J. Belongie:
Understanding Image Quality and Trust in Peer-to-Peer Marketplaces. 511-520 - Tingting Qiao, Weijing Zhang, Miao Zhang, Zixuan Ma, Duanqing Xu:
Ancient Painting to Natural Image: A New Solution for Painting Processing. 521-530 - Shefali Srivastava, Abhimanyu Chopra, Arun C. S. Kumar, Suchendra M. Bhandarkar, Deepak Sharma:
Matching Disparate Image Pairs Using Shape-Aware ConvNets. 531-540 - Aritra Dutta, Peter Richtárik:
Online and Batch Supervised Background Estimation Via L1 Regression. 541-550 - Chia-Wen Kuo, Jacob Ashmore, David Huggins, Zsolt Kira:
Data-Efficient Graph Embedding Learning for PCB Component Detection. 551-560 - Xishuai Peng, Yi Lu Murphey, Simon Stent, Yuanxiang Li, Zihao Zhao:
Spatial Focal Loss for Pedestrian Detection in Fisheye Imagery. 561-569 - Nihal Murali, Jon Schneider, Joel Levine, Graham Taylor:
Classification and Re-Identification of Fruit Fly Individuals Across Days With Convolutional Neural Networks. 570-578 - Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan:
Multi-Component Image Translation for Deep Domain Generalization. 579-588
Oral Session 2B: Document Analysis, Image/Video Indexing & Retrieval, Industrial Inspection, Remote Sensing
- Nam Vo, James Hays:
Generalization in Metric Learning: Should the Embedding Layer Be Embedding Layer? 589-598 - Georg Waltner, Michael Opitz, Horst Possegger, Horst Bischof:
HiBsteR: Hierarchical Boosted Deep Metric Learning for Image Retrieval. 599-608 - Ayan Kumar Bhunia, Sai Raj Kishore Perla, Pranay Mukherjee, Abhirup Das, Partha Pratim Roy:
Texture synthesis guided deep hashing for texture image retrieval. 609-618 - Erol Cromwell, Donna Flynn:
Lidar Cloud Detection With Fully Convolutional Networks. 619-627 - Dipanjan Das, Ratul Ghosh, Brojeshwar Bhowmick:
Deep Representation Learning Characterized by Inter-Class Separation for Image Clustering. 628-637 - Björn Barz, Joachim Denzler:
Hierarchy-Based Image Embeddings for Semantic Image Retrieval. 638-647 - Marc Bosch, Gordon A. Christie, Christopher M. Gifford:
Sensor Adaptation for Improved Semantic Segmentation of Overhead Imagery. 648-656 - Ning Ma, Alexey Volkov, Aleksandr Livshits, Pawel Pietrusinski, Houdong Hu, Mark Bolin:
An Universal Image Attractiveness Ranking Framework. 657-665 - Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan:
A Framework Towards Domain Specific Video Summarization. 666-675 - Dafang He, Xiao Yang, Dan Kifer, C. Lee Giles:
TextContourNet: A Flexible and Effective Framework for Improving Scene Text Detection Architecture With a Multi-Task Cascade. 676-685 - Yuki Inoue, Hiroto Nagayoshi:
Deployment Conscious Automatic Surface Crack Detection. 686-694 - Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Trung Pham, Huu Le, Ngai-Man Cheung, Ian D. Reid:
Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation. 695-704 - Zhongping Zhang, Yue Wu, Zheng Zhou, Youzuo Lin:
VelocityGAN: Subsurface Velocity Image Estimation Using Conditional Adversarial Networks. 705-714 - István Fehérvári, Srikar Appalaraju:
Scalable Logo Recognition Using Proxies. 715-725 - Monica Haurilet, Ziad Al-Halah, Rainer Stiefelhagen:
SPaSe - Multi-Label Page Segmentation for Presentation Slides. 726-734 - Adam Van Etten:
Satellite Imagery Multiscale Rapid Detection with Windowed Networks. 735-743 - Bodi Yuan, Brian Giera, Gabe Guss, Ibo Matthews, Sara McMains:
Semi-Supervised Convolutional Neural Networks for In-Situ Video Monitoring of Selective Laser Melting. 744-753 - Mohamed Elfeki, Ali Borji:
Video Summarization Via Actionness Ranking. 754-763 - Zhida Huang, Zhuoyao Zhong, Lei Sun, Qiang Huo:
Mask R-CNN With Pyramid Attention Network for Scene Text Detection. 764-772 - Mayank Gupta, Abhinav Kumar, Sriganesh Madhvanath:
Zero Shot License Plate Re-Identification. 773-781
Oral Session 3A: Biometrics, Statistical Methods & Learning
- Luisa F. Polanía, Glenn Fung, Dongning Wang:
Ordinal Regression Using Noisy Pairwise Comparisons for Body Mass Index Range Estimation. 782-790 - Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti:
Learning Privacy Preserving Encodings Through Adversarial Training. 791-799 - Aditya Bhattacharya, Shayok Chakraborty:
Active Learning with n-ary Queries for Image Recognition. 800-808 - Tian Han, Yang Lu, Jiawen Wu, Xianglei Xing, Ying Nian Wu:
Learning Generator Networks for Dynamic Patterns. 809-818 - Gautam Pai, Ronen Talmon, Alexander M. Bronstein, Ron Kimmel:
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling. 819-828 - Mona Ragab Sayed, Terence Sim, Joo-Hwee Lim, Keng Teck Ma:
Which Body Is Mine? 829-838 - Ayesha Gurnani, Kenil Shah, Vandit Gajjar, Viraj Mavani, Yash Khandhediya:
SAF-BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression. 839-847 - Hadi Kazemi, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
Style and Content Disentanglement in Generative Adversarial Networks. 848-856 - Domingo Mery, Ignacio Mackenney, Esteban Villalobos:
Student Attendance System in Crowded Classrooms Using a Smartphone Camera. 857-866 - Daniel P. Benalcazar, Claudio A. Perez, Diego Bastias, Kevin W. Bowyer:
Iris Recognition: Comparing Visible-Light Lateral and Frontal Illumination to NIR Frontal Illumination. 867-876 - Adam Czajka, Zhaoyuan Fang, Kevin W. Bowyer:
Iris Presentation Attack Detection Based on Photometric Stereo Features. 877-885 - Akshay Mehrotra, Ambedkar Dukkipati:
Skip Residual Pairwise Networks With Learnable Comparative Functions for Few-Shot Learning. 886-894 - Indu Joshi, Adithya Anand, Mayank Vatsa, Richa Singh, Sumantra Dutta Roy, Prem Kalra:
Latent Fingerprint Enhancement Using Generative Adversarial Networks. 895-903 - Andrey Kuehlkamp, Kevin W. Bowyer:
Predicting Gender From Iris Texture May Be Harder Than It Seems. 904-912 - Zhezhi He, Boqing Gong, Deliang Fan:
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. 913-921 - Xiang Xu, Ha A. Le, Ioannis A. Kakadiaris:
On the Importance of Feature Aggregation for Face Reconstruction. 922-931 - Jianshu Li, Pan Zhou, Yunpeng Chen, Jian Zhao, Sujoy Roy, Shuicheng Yan, Jiashi Feng, Terence Sim:
Task Relation Networks. 932-940 - Daniel Moreira, Mateusz Trokielewicz, Adam Czajka, Kevin W. Bowyer, Patrick J. Flynn:
Performance of Humans in Iris Recognition: The Impact of Iris Condition and Annotation-Driven Verification. 941-949 - Xu Zhou, Pak Lun Kevin Ding, Baoxin Li:
Improving Robustness of Random Forest Under Label Noise. 950-958 - Adam Czajka, Daniel Moreira, Kevin W. Bowyer, Patrick J. Flynn:
Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition. 959-967
Oral Session 3B: 3-D Modeling, Scene Understanding
- Hosnieh Sattar, Gerard Pons-Moll, Mario Fritz:
Fashion Is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources. 968-977 - Frederik Pahde, Mihai Marian Puscas, Jannik Wolff, Tassilo Klein, Nicu Sebe, Moin Nabi:
Low-Shot Learning From Imaginary 3D Model. 978-985 - Mohammad K. Ebrahimpour, Jiayun Li, Yen-Yun Yu, Jackson Reesee, Azadeh Moghtaderi, Ming-Hsuan Yang, David C. Noelle:
Ventral-Dorsal Neural Networks: Object Detection Via Selective Attention. 986-994 - Jonathan D. Stets, Zhengqin Li, Jeppe Revall Frisvad, Manmohan Chandraker:
Single-Shot Analysis of Refractive Shape Using Convolutional Neural Networks. 995-1003 - Ding Liu, Zixu Zhao, Xinchao Wang, Yuxiao Hu, Lei Zhang, Thomas S. Huang:
Improving 3D Human Pose Estimation Via 3D Part Affinity Fields. 1004-1013 - Yifan Xing, Rahul Tewari, Paulo R. S. Mendonca:
A Self-Supervised Bootstrap Method for Single-Image 3D Face Reconstruction. 1014-1023 - Shu Kong, Charless C. Fowlkes:
Pixel-Wise Attentional Gating for Scene Parsing. 1024-1033 - Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, Juho Kannala:
DGC-Net: Dense Geometric Correspondence Network. 1034-1042 - Junjie Hu, Mete Ozay, Yan Zhang, Takayuki Okatani:
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps With Accurate Object Boundaries. 1043-1051 - Priyanka Mandikal, Venkatesh Babu Radhakrishnan:
Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network. 1052-1060 - Zakaria Laskar, Hamed Rezazadegan Tavakoli, Juho Kannala:
Semantic Matching by Weakly Supervised 2D Point Set Registration. 1061-1069 - Rezaul Karim, Md. Amirul Islam, Neil D. B. Bruce:
Recurrent Iterative Gating Networks for Semantic Segmentation. 1070-1079 - Yoni Kasten, Meirav Galun, Ronen Basri:
Resultant Based Incremental Recovery of Camera Pose From Pairwise Matches. 1080-1088 - Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung:
Real-Time Progressive 3D Semantic Segmentation for Indoor Scenes. 1089-1098 - Swaminathan Gurumurthy, Shubham Agrawal:
High Fidelity Semantic Shape Completion for Point Clouds Using Latent Optimization. 1099-1108 - Tejaswi Kasarla, Gattigorla Nagendar, Guruprasad M. Hegde, Vineeth Balasubramanian, C. V. Jawahar:
Region-based active learning for efficient labeling in semantic segmentation. 1109-1117 - Diqi Chen, Xiaodan Liang, Yizhou Wang, Wen Gao:
Soft Transfer Learning via Gradient Diagnosis for Visual Relationship Detection. 1118-1126 - Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci:
Attention Mechanisms for Object Recognition With Event-Based Cameras. 1127-1136 - Akila Pemasiri, Kien Nguyen Thanh, Sridha Sridharan, Clinton Fookes:
Semantic Correspondence in the Wild. 1137-1146 - Akshay Dudhane, Subrahmanyam Murala:
CDNet: Single Image De-Hazing Using Unpaired Adversarial Training. 1147-1155
Oral Session 4A: Object Recognition
- Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Chandraker:
Memory Warps for Long-Term Online Video Representations and Anticipation. 1156-1165 - Pravendra Singh, Vinay Sameer Raja Kadi, Nikhil Verma, Vinay P. Namboodiri:
Stability Based Filter Pruning for Accelerating Deep CNNs. 1166-1174 - Alessandro Borgia, Yang Hua, Elyor Kodirov, Neil Martin Robertson:
GAN-Based Pose-Aware Regulation for Video-Based Person Re-Identification. 1175-1184 - Hongguang Zhang, Piotr Koniusz:
Power Normalizing Second-Order Similarity Network for Few-Shot Learning. 1185-1193