CVPR

Beauty Learning and Counterfactual Inference

Tao Li

Comments In CVPR-19 Workshop on Explainable AI

e-SNLI-VE: Corrected Visual-Textual Entailment with Natural Language Explanations

Virginie Do, Oana-Maria Camburu, Zeynep Akata, Thomas Lukasiewicz

Journal ref IEEE CVPR Workshop on Fair, Data Efficient and Trusted Computer Vision, 2020

Teachers Do More Than Teach: Compressing Image-to-Image Models

Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov

Comments 18 pages, 10 figures, accepted by CVPR 2021

Adversarial Robustness under Long-Tailed Distribution

Tong Wu, Ziwei Liu, Qingqiu Huang, Yu Wang, Dahua Lin

Comments Accepted to CVPR 2021 (Oral)

Single Image Depth Prediction with Wavelet Decomposition

Michaël Ramamonjisoa, Michael Firman, Jamie Watson, Vincent Lepetit, Daniyar Turmukhambetov

Comments CVPR 2021

Enhancing the Transferability of Adversarial Attacks through Variance Tuning

Xiaosen Wang, Kun He

Comments Accepted by CVPR 2021

PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation

Tal Reiss, Niv Cohen, Liron Bergman, Yedid Hoshen

Comments CVPR 2021

Efficient Surfel Fusion Using Normalised Information Distance

Louis Gallagher, John B. McDonald

Comments 4 pages, 4 figures, presented at CVPR 2019 Workshop on 3D Scene Understanding for Vision, Graphics, and Robotics

Depth Infused Binaural Audio Generation using Hierarchical Cross-Modal Attention

Kranti Kumar Parida, Siddharth Srivastava, Neeraj Matiyali, Gaurav Sharma

Comments Presented at Sight and Sound Workshop, CVPR 2021

3D CNNs with Adaptive Temporal Feature Resolutions

Mohsen Fayyaz, Emad Bahrami, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Juergen Gall

Comments CVPR 2021

Workshop on Autonomous Driving at CVPR 2021: Technical Report for Streaming Perception Challenge

Songyang Zhang, Lin Song, Songtao Liu, Zheng Ge, Zeming Li, Xuming He, Jian Sun

Comments Report of the 1st Place of Streaming Perception Challenge(Workshop on Autonomous Driving at CVPR 2021)

Adaptive Consistency Regularization for Semi-Supervised Transfer Learning

Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou

Comments CVPR 2021

PREDATOR: Registration of 3D Point Clouds with Low Overlap

Shengyu Huang, Zan Gojcic, Mikhail Usvyatsov, Andreas Wieser, Konrad Schindler

Comments CVPR 2021 (Oral) - Improved performance after fixing GNN bug

Conditional Bures Metric for Domain Adaptation

You-Wei Luo, Chuan-Xian Ren

Comments CVPR 2021

SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation

Moira Shooter, Charles Malleson, Adrian Hilton

Comments 5 pages, 1 figure, Poster presentation at the Computer Vision for Animal Behavior Tracking and Modeling (CV4Animals:) Workshop in conjunction with CVPR 2021

TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions

Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha

Comments 10 pages, 5 figures, 3 tables

Journal ref IEEE/CVF CVPR, 2019, pp. 8475-8484

Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN

Xiaohan Ding, Tianxiang Hao, Jungong Han, Yuchen Guo, Guiguang Ding

Comments Extension of the CVPR-2019 paper (CVPR_2019/papers/Ding_Centripetal_SGD_for_Pruning_Very_Deep_Convolutional_Networks_With_Complicated_CVPR_2019_paper.pdf" target="_blank" rel="noopener">https://openaccess.thecvf.com/content_CVPR_2019/papers/Ding_Centripetal_SGD_for_Pruning_Very_Deep_Convolutional_Networks_With_Complicated_CVPR_2019_paper.pdf). arXiv admin note: substantial text overlap with arXiv:1904.03837

Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS

Long Chen, Haizhou Ai, Rui Chen, Zijie Zhuang, Shuang Liu

Comments 12 pages with supplementary material; accepted to CVPR 2020

CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning

Can Zhang, Meng Cao, Dongming Yang, Jie Chen, Yuexian Zou

Comments accepted by CVPR 2021, typos corrected, code link added

HDR Environment Map Estimation for Real-Time Augmented Reality

Gowri Somanath, Daniel Kurz

Comments Supplementary video at https://docs-assets.developer.apple.com/ml-research/papers/hdr-environment-map.mp4 Code at https://github.com/apple/ml-envmapnet Accepted to CVPR 2021

Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework

Miao Yin, Yang Sui, Siyu Liao, Bo Yuan

Comments This paper was accepted to CVPR'21

Scale-Localized Abstract Reasoning

Yaniv Benny, Niv Pekar, Lior Wolf

Comments Presented at Computer Vision and Pattern Recognition (CVPR) 2021

Contextual Transformer Networks for Visual Recognition

Yehao Li, Ting Yao, Yingwei Pan, Tao Mei

Comments Rank 1 in open-set image classification task of Open World Vision Challenge @ CVPR 2021; The source code and models are publicly available at: \url{https://github.com/JDAI-CV/CoTNet}

Depth Completion with Twin Surface Extrapolation at Occlusion Boundaries

Saif Imran, Xiaoming Liu, Daniel Morris

Comments Accepted in Intl. Conf. on Computer Vision and Pattern Recognition (CVPR) 2021 (Supplementary Included)

MagFace: A Universal Representation for Face Recognition and Quality Assessment

Qiang Meng, Shichao Zhao, Zhida Huang, Feng Zhou

Comments accepted at CVPR 2021, Oral

Journal ref IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

BASAR:Black-box Attack on Skeletal Action Recognition

Yunfeng Diao, Tianjia Shao, Yong-Liang Yang, Kun Zhou, He Wang

Comments Accepted in CVPR 2021

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip H. S. Torr, Li Zhang

Comments CVPR 2021. Project page at https://fudan-zvg.github.io/SETR/

Learning to See Through Obstructions with Layered Decomposition

Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang

Comments Project page: https://alex04072000.github.io/SOLD/ Code: https://github.com/alex04072000/SOLD Extension of the CVPR 2020 paper: arXiv:2004.01180

3D Shape Generation with Grid-based Implicit Functions

Moritz Ibing, Isaak Lim, Leif Kobbelt

Comments CVPR 2021

Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels

Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun

Comments CVPR 2021 camera ready version