CVPR

Single-step Adversarial training with Dropout Scheduling

Vivek B. S., R. Venkatesh Babu

Comments CVPR 2020

ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig

Hamid Reza Vaezi Joze, Ilya Zharkov, Karlton Powell, Carl Ringler, Luming Liang, Andy Roulston, Moshe Lutz, Vivek Pradeep

Journal ref The IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2020

FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction

Haotian Yang, Hao Zhu, Yanru Wang, Mingkai Huang, Qiu Shen, Ruigang Yang, Xun Cao

Comments Accepted to CVPR 2020

TTNet: Real-time temporal and spatial video analysis of table tennis

Roman Voeikov, Nikolay Falaleev, Ruslan Baikulov

Comments 6th International Workshop on Computer Vision in Sports (CVsports) at CVPR 2020

Self-Supervised Feature Extraction for 3D Axon Segmentation

Tzofi Klinghoffer, Peter Morales, Young-Gyun Park, Nicholas Evans, Kwanghun Chung, Laura J. Brattain

Comments Accepted to CVPR Computer Vision for Microscopy Image Analysis Workshop 2020. 7 pages. 3 Figures

Utilizing Mask R-CNN for Waterline Detection in Canoe Sprint Video Analysis

Marie-Sophie von Braun, Patrick Frenzel, Christian Käding, Mirco Fuchs

Comments (Accepted / In press) 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW)

AANet: Adaptive Aggregation Network for Efficient Stereo Matching

Haofei Xu, Juyong Zhang

Comments CVPR 2020. The improved version AANet+ is also included. Code: https://github.com/haofeixu/aanet

PaStaNet: Toward Human Activity Knowledge Engine

Yong-Lu Li, Liang Xu, Xinpeng Liu, Xijie Huang, Yue Xu, Shiyi Wang, Hao-Shu Fang, Ze Ma, Mingyang Chen, Cewu Lu

Comments Accepted to CVPR 2020, supplementary materials included, code available: http://hake-mvig.cn/

Learning When and Where to Zoom with Deep Reinforcement Learning

Burak Uzkent, Stefano Ermon

Comments To appear in CVPR 2020 as an Oral Presentation. The code can be found at https://github.com/ermongroup/PatchDrop

Face Recognition: Too Bias, or Not Too Bias?

Joseph P Robinson, Gennady Livitz, Yann Henon, Can Qin, Yun Fu, Samson Timoner

Comments Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020

Cross-Batch Memory for Embedding Learning

Xun Wang, Haozhi Zhang, Weilin Huang, Matthew R. Scott

Comments CVPR 2020 Oral

StackNet: Stacking Parameters for Continual learning

Jangho Kim, Jeesoo Kim, Nojun Kwak

Comments CVPR 2020 Workshop on Continual Learning in Computer Vision

Music Gesture for Visual Sound Separation

Chuang Gan, Deng Huang, Hang Zhao, Joshua B. Tenenbaum, Antonio Torralba

Comments CVPR 2020. Project page: http://music-gesture.csail.mit.edu

Robust Partial Matching for Person Search in the Wild

Yingji Zhong, Xiaoyu Wang, Shiliang Zhang

Comments 9 pages, 7 figures, accepted to CVPR 2020. The dataset will be released soon

CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition

Zhengwei Wang, Qi She, Tejo Chalasani, Aljosa Smolic

Comments CVPR 2020 Workshop at Continual Learning (CLVISION)

Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification

Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen

Comments In proceeding of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). To be presented at EDLCV 2020 workshop co-located with CVPR 2020

Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation

Seyma Yucer, Samet Akçay, Noura Al-Moubayed, Toby P. Breckon

Comments CVPR 2020 - Fair, Data Efficient and Trusted Computer Vision Workshop

Graph-Structured Referring Expression Reasoning in The Wild

Sibei Yang, Guanbin Li, Yizhou Yu

Comments CVPR 2020 Accepted Oral Paper. Data and code are available at https://github.com/sibeiyang/sgmn

Learning to Evaluate Perception Models Using Planner-Centric Metrics

Jonah Philion, Amlan Kar, Sanja Fidler

Comments CVPR 2020 poster

Adversarial Attack on Deep Learning-Based Splice Localization

Andras Rozsa, Zheng Zhong, Terrance E. Boult

Comments This is a pre-print of the original paper accepted at the CVPR Workshop on Media Forensics 2020

Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search

Dazhou Guo, Dakai Jin, Zhuotun Zhu, Tsung-Ying Ho, Adam P. Harrison, Chun-Hung Chao, Jing Xiao, Alan Yuille, Chien-Yu Lin, Le Lu

Journal ref IEEE CVPR 2020

ASLFeat: Learning Local Features of Accurate Shape and Localization

Zixin Luo, Lei Zhou, Xuyang Bai, Hongkai Chen, Jiahui Zhang, Yao Yao, Shiwei Li, Tian Fang, Long Quan

Comments Accepted to CVPR 2020, supplementary materials included, code available

Non-Adversarial Video Synthesis with Learned Priors

Abhishek Aich, Akash Gupta, Rameswar Panda, Rakib Hyder, M. Salman Asif, Amit K. Roy-Chowdhury

Comments Accepted to CVPR 2020

CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries

Han Yang, Xingjian Zhen, Ying Chi, Lei Zhang, Xian-Sheng Hua

Comments This work is done by Xingjian Zhen during internship in Alibaba Damo Academy

Journal ref CVPR 2020 oral

Face X-ray for More General Face Forgery Detection

Lingzhi Li, Jianmin Bao, Ting Zhang, Hao Yang, Dong Chen, Fang Wen, Baining Guo

Comments Accepted to CVPR 2020 (Oral)

C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation

Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu

Comments CVPR 2020

Learning a Neural Solver for Multiple Object Tracking

Guillem Brasó, Laura Leal-Taixé

Comments Accepted to CVPR 2020 (oral)

Generating 3D People in Scenes without People

Yan Zhang, Mohamed Hassan, Heiko Neumann, Michael J. Black, Siyu Tang

Comments cvpr'20, camera ready version with appendix

Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness

Shuo Cheng, Zexiang Xu, Shilin Zhu, Zhuwen Li, Li Erran Li, Ravi Ramamoorthi, Hao Su

Comments Accepted to CVPR 2020 (Oral)

Role of Spatial Context in Adversarial Robustness for Object Detection

Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash

Comments CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision