CVPR

Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing

Tianfei Zhou, Wenguan Wang, Si Liu, Yi Yang, Luc Van Gool

Comments CVPR 2021 (Oral). Code: https://github.com/tfzhou/MG-HumanParsing

ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring

Dongxu Li, Chenchen Xu, Kaihao Zhang, Xin Yu, Yiran Zhong, Wenqi Ren, Hanna Suominen, Hongdong Li

Comments Preprint for CVPR 2021 Poster

Robust Point Cloud Registration Framework Based on Deep Graph Matching

Kexue Fu, Shaolei Liu, Xiaoyuan Luo, Manning Wang

Comments Accepted to CVPR 2021. The code will be made publicly available at https://github.com/fukexue/RGM

Consensus Maximisation Using Influences of Monotone Boolean Functions

Ruwan Tennakoon, David Suter, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar

Comments To appear in CVPR 2021 as an ORAL paper. arXiv admin note: text overlap with arXiv:2005.05490

Learning Statistical Texture for Semantic Segmentation

Lanyun Zhu, Deyi Ji, Shiping Zhu, Weihao Gan, Wei Wu, Junjie Yan

Comments Accepted to CVPR 2021

Improved Image Matting via Real-time User Clicks and Uncertainty Estimation

Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Hanqing Zhao, Weiming Zhang, Nenghai Yu

Comments Accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic Convolution

Tong He, Chunhua Shen, Anton van den Hengel

Comments Appearing in IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2021

A Large-scale Attribute Dataset for Zero-shot Learning

Bo Zhao, Yanwei Fu, Rui Liang, Jiahong Wu, Yonggang Wang, Yizhou Wang

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, pp. 0-0

Unsupervised Learning for Robust Fitting:A Reinforcement Learning Approach

Giang Truong, Huu Le, David Suter, Erchuan Zhang, Syed Zulqarnain Gilani

Comments The preprint of paper accepted to CVPR 2021

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi

Comments Appendices with more results on symmetric loss, different numbers of negative samples, computing costs is presented. We also discuss "whether we still need negative examples" in Appendix C, a question emerging from the comparison with the BYOL. The source code is also available at https://github.com/maple-research-lab/AdCo/

Journal ref IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 19th - June 25th, 2021

Natural Adversarial Examples

Dan Hendrycks, Kevin Zhao, Steven Basart, Jacob Steinhardt, Dawn Song

Comments CVPR 2021; dataset and code available at https://github.com/hendrycks/natural-adv-examples

Anycost GANs for Interactive Image Synthesis and Editing

Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu

Comments Accepted to CVPR 2021. The code and demo are available: https://github.com/mit-han-lab/anycost-gan

Self-supervised Geometric Perception

Heng Yang, Wei Dong, Luca Carlone, Vladlen Koltun

Comments CVPR 2021, Oral presentation. 8 pages main results, 19 pages in total, including references and supplementary

TPCN: Temporal Point Cloud Networks for Motion Forecasting

Maosheng Ye, Tongyi Cao, Qifeng Chen

Comments accepted to CVPR 2021

Learning Asynchronous and Sparse Human-Object Interaction in Videos

Romero Morais, Vuong Le, Svetha Venkatesh, Truyen Tran

Comments Accepted for publication in CVPR'21

VarifocalNet: An IoU-aware Dense Object Detector

Haoyang Zhang, Ying Wang, Feras Dayoub, Niko Sünderhauf

Comments Accepted to CVPR 2021 as an oral

Single-View 3D Object Reconstruction from Shape Priors in Memory

Shuo Yang, Min Xu, Haozhe Xie, Stuart Perry, Jiahao Xia

Comments CVPR 2021

Revisiting Knowledge Distillation via Label Smoothing Regularization

Li Yuan, Francis E. H. Tay, Guilin Li, Tao Wang, Jiashi Feng

Comments CVPR2020 Oral, codes: https://github.com/yuanli2333/Teacher-free-Knowledge-Distillation

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020

Cross-View Regularization for Domain Adaptive Panoptic Segmentation

Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu

Comments Accepted to CVPR 2021 as an Oral Presentation

When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework

Zhizhong Huang, Junping Zhang, Hongming Shan

Comments accepted by CVPR 2021

MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing

Zhengjue Wang, Hao Zhang, Ziheng Cheng, Bo Chen, Xin Yuan

Comments 12 pages, 6 figures, CVPR 2021

Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition

Stephen Hausler, Sourav Garg, Ming Xu, Michael Milford, Tobias Fischer

Comments Accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)

Depth from Camera Motion and Object Detection

Brent A. Griffin, Jason J. Corso

Comments CVPR 2021

Image-to-image Translation via Hierarchical Style Disentanglement

Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji

Comments CVPR 2021. The code will be released at at https://github.com/imlixinyang/HiSD

Counterfactual Zero-Shot and Open-Set Visual Recognition

Zhongqi Yue, Tan Wang, Hanwang Zhang, Qianru Sun, Xian-Sheng Hua

Comments Accepted by CVPR 2021

Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks

Tony C. W. Mok, Albert C. S. Chung

Comments Accepted to CVPR 2020

Dynamic Face Video Segmentation via Reinforcement Learning

Yujiang Wang, Mingzhi Dong, Jie Shen, Yang Wu, Shiyang Cheng, Maja Pantic

Comments CVPR 2020. 300VW with segmentation labels is available at: https://github.com/mapleandfire/300VW-Mask

PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation

Jianzhun Shao, Yuhang Jiang, Gu Wang, Zhigang Li, Xiangyang Ji

Journal ref In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 11454-11463. 2020

OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations

Pramuditha Perera, Ramesh Nallapati, Bing Xiang

Comments CVPR 2019 Accepted Paper

Efficient Gender Classification Using a Deep LDA-Pruned Net

Qing Tian, Tal Arbel, James J. Clark

Comments The only difference with the previous version v2 is the title on the arxiv page. I am changing it back to the original title in v1 because otherwise google scholar cannot track the citations to this arxiv paper correctly. You could cite either the conference version or this arxiv version. They are equivalent

Journal ref 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)