CVPR

RepVGG: Making VGG-style ConvNets Great Again

Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun

Comments CVPR 2021

Bilateral Grid Learning for Stereo Matching Networks

Bin Xu, Yuhua Xu, Xiaoli Yang, Wei Jia, Yulan Guo

Comments CVPR 2021

Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans

Sida Peng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Hujun Bao, Xiaowei Zhou

Comments CVPR 2021. Project page: https://zju3dv.github.io/neuralbody/

Generative Interventions for Causal Learning

Chengzhi Mao, Augustine Cha, Amogh Gupta, Hao Wang, Junfeng Yang, Carl Vondrick

Comments Accepted to CVPR 2021

DECOR-GAN: 3D Shape Detailization by Conditional Refinement

Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri

Comments CVPR 2021 (oral). Code: https://github.com/czq142857/DECOR-GAN

Wasserstein Contrastive Representation Distillation

Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin

Comments Accepted by CVPR 2021

TediGAN: Text-Guided Diverse Face Image Generation and Manipulation

Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu

Comments CVPR 2021. Code: https://github.com/weihaox/TediGAN Data: https://github.com/weihaox/Multi-Modal-CelebA-HQ Video: https://youtu.be/L8Na2f5viAM

How Well Do Self-Supervised Models Transfer?

Linus Ericsson, Henry Gouk, Timothy M. Hospedales

Comments CVPR 2021. Code available at https://github.com/linusericsson/ssl-transfer

Discovering Hidden Physics Behind Transport Dynamics

Peirong Liu, Lin Tian, Yubo Zhang, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer

Comments Accepted as ORAL at CVPR 2021 (20 pages, 13 figures)

HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms

Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown

Comments CVPR 2021

Rotation-Only Bundle Adjustment

Seong Hun Lee, Javier Civera

Comments Accepted to CVPR 2021

Shared Cross-Modal Trajectory Prediction for Autonomous Driving

Chiho Choi, Joon Hee Choi, Jiachen Li, Srikanth Malla

Comments CVPR 2021 [Oral]

Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition

Chun-Fu Chen, Rameswar Panda, Kandan Ramakrishnan, Rogerio Feris, John Cohn, Aude Oliva, Quanfu Fan

Comments CVPR 2021 camera-ready version. Codes and models are available on https://github.com/IBM/action-recognition-pytorch

Few-shot 3D Point Cloud Semantic Segmentation

Na Zhao, Tat-Seng Chua, Gim Hee Lee

Comments CVPR 2021

AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching

Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Zhe Wang, Jianping Shi

Comments Accepted by CVPR 2021

DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation

Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Lei Wang, Wenqi Ren

Comments accepted by CVPR 2021

PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks

Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali Thabet, Bernard Ghanem

Comments Get accepted to CVPR 2021. The source code of this work is available at https://github.com/guochengqian/PU-GCN

Deeply Shape-guided Cascade for Instance Segmentation

Hao Ding, Siyuan Qiao, Alan Yuille, Wei Shen

Comments Accepted to CVPR 2021

Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation

Yazhou Yao, Tao Chen, Guosen Xie, Chuanyi Zhang, Fumin Shen, Qi Wu, Zhenmin Tang, Jian Zhang

Comments accepted by IEEE Conference on Computer Vision and Pattern Recognition, 2021

Distilling Object Detectors via Decoupled Features

Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu

Comments Accepted in CVPR 2021

Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling

Zhichao Huang, Xintong Han, Jia Xu, Tong Zhang

Comments CVPR 2021

Bidirectional Projection Network for Cross Dimension Scene Understanding

Wenbo Hu, Hengshuang Zhao, Li Jiang, Jiaya Jia, Tien-Tsin Wong

Comments CVPR 2021 (Oral)

Journal ref CVPR 2021

Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification

Peng Wang, Kai Han, Xiu-Shen Wei, Lei Zhang, Lei Wang

Comments CVPR 2021

ACRE: Abstract Causal REasoning Beyond Covariation

Chi Zhang, Baoxiong Jia, Mark Edmonds, Song-Chun Zhu, Yixin Zhu

Comments CVPR 2021 paper. Supplementary: http://wellyzhang.github.io/attach/cvpr21zhang_acre_supp.pdf Project: http://wellyzhang.github.io/project/acre.html

Learning a Proposal Classifier for Multiple Object Tracking

Peng Dai, Renliang Weng, Wongun Choi, Changshui Zhang, Zhangping He, Wei Ding

Comments Accepted at CVPR 2021, Poster, EEE/CVF Conference on Computer Vision and Pattern Recognition

Temporal Action Segmentation from Timestamp Supervision

Zhe Li, Yazan Abu Farha, Juergen Gall

Comments CVPR 2021

Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization

Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris Metaxas, Ting Liu

Comments Accepted to CVPR 2021 (Oral presentation). Code is available at https://github.com/google-research/google-research/tree/master/poem

Co-Attention for Conditioned Image Matching

Olivia Wiles, Sebastien Ehrhardt, Andrew Zisserman

Comments Accepted at CVPR 2021. Project page: https://www.robots.ox.ac.uk/~ow/coam.html. Formerly D2D: Learning to find good correspondences for image matching and manipulation

More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval

Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yongxin Yang, Tao Xiang, Yi-Zhe Song

Comments IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021 Code : https://github.com/AyanKumarBhunia/semisupervised-FGSBIR

Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting

Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song

Comments IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021 Code : https://github.com/AyanKumarBhunia/Self-Supervised-Learning-for-Sketch