CVPR

Coupling Vision and Proprioception for Navigation of Legged Robots

Zipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak

Comments CVPR 2022 final version. Website at https://navigation-locomotion.github.io

Audio-driven Neural Gesture Reenactment with Video Motion Graphs

Yang Zhou, Jimei Yang, Dingzeyu Li, Jun Saito, Deepali Aneja, Evangelos Kalogerakis

Comments 15 pages, 10 figures. Accepted by CVPR 2022

Interactron: Embodied Adaptive Object Detection

Klemen Kotar, Roozbeh Mottaghi

Comments CVPR 2022

StyleSwin: Transformer-based GAN for High-resolution Image Generation

Bowen Zhang, Shuyang Gu, Bo Zhang, Jianmin Bao, Dong Chen, Fang Wen, Yong Wang, Baining Guo

Comments CVPR 2022

Joint Global and Local Hierarchical Priors for Learned Image Compression

Jun-Hyuk Kim, Byeongho Heo, Jong-Seok Lee

Comments CVPR 2022

Patch-level Representation Learning for Self-supervised Vision Transformers

Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin

Comments Accepted to CVPR 2022 (Oral). Code is available at https://github.com/alinlab/SelfPatch

Robust outlier detection by de-biasing VAE likelihoods

Kushal Chauhan, Barath Mohan U, Pradeep Shenoy, Manish Gupta, Devarajan Sridharan

Comments CVPR 2022. 20 pages and 19 figures

Role of reward shaping in object-goal navigation

Srirangan Madhavan, Anwesan Pal, Henrik I. Christensen

Comments Paper Accepted at Third Embodied AI Workshop at CVPR 2022

GroupViT: Semantic Segmentation Emerges from Text Supervision

Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas Breuel, Jan Kautz, Xiaolong Wang

Comments CVPR 2022. Project page and code: https://jerryxu.net/GroupViT

Transformaly -- Two (Feature Spaces) Are Better Than One

Matan Jacob Cohen, Shai Avidan

Comments CVPR Workshop, 2022

GMFlow: Learning Optical Flow via Global Matching

Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Dacheng Tao

Comments CVPR 2022, Oral

Multimodal Token Fusion for Vision Transformers

Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, Yunhe Wang

Comments CVPR 2022

Egocentric Scene Understanding via Multimodal Spatial Rectifier

Tien Do, Khiem Vuong, Hyun Soo Park

Comments Appearing in the Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Deep Unlearning via Randomized Conditionally Independent Hessians

Ronak Mehta, Sourav Pal, Vikas Singh, Sathya N. Ravi

Comments CVPR 2022. Supplement appended to end of main paper (total 15 pages). Ronak Mehta and Sourav Pal equal contribution

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 10422-10431

Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes

Yiran Zhong, Pan Ji, Jianyuan Wang, Yuchao Dai, Hongdong Li

Comments CVPR 2019

How Much More Data Do I Need? Estimating Requirements for Downstream Tasks

Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, Jose M. Alvarez, Zhiding Yu, Sanja Fidler, Marc T. Law

Comments Accepted to CVPR 2022

Tell Me the Evidence? Dual Visual-Linguistic Interaction for Answer Grounding

Junwen Pan, Guanlin Chen, Yi Liu, Jiexiang Wang, Cheng Bian, Pengfei Zhu, Zhicheng Zhang

Comments Accepted to CVPR 2022 VizWiz Workshop

Instance Shadow Detection with A Single-Stage Detector

Tianyu Wang, Xiaowei Hu, Pheng-Ann Heng, Chi-Wing Fu

Comments Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). This is the journal version of arXiv:1911.07034 and https://openaccess.thecvf.com/content/CVPR2021/papers/Wang_Single-Stage_Instance_Shadow_Detection_With_Bidirectional_Relation_Learning_CVPR_2021_paper.pdf

Generate and Edit Your Own Character in a Canonical View

Jeong-gi Kwak, Yuanming Li, Dongsik Yoon, David Han, Hanseok Ko

Comments AI for Content Creation Workshop at CVPR 2022

Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation

Yihan Wang, Muyang Li, Han Cai, Wei-Ming Chen, Song Han

Comments 11 pages

Journal ref IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2022

Rotationally Equivariant 3D Object Detection

Hong-Xing Yu, Jiajun Wu, Li Yi

Comments CVPR 2022, project website: https://kovenyu.com/eon/

Spatio-Temporal Gating-Adjacency GCN for Human Motion Prediction

Chongyang Zhong, Lei Hu, Zihao Zhang, Yongjing Ye, Shihong Xia

Comments We declare that the evaluation metric we used is following STSGCN, that is, the average error over frames (denoted by *), which we only found when we checked their test code on July 9, 2022

Journal ref IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Self-supervised object detection from audio-visual correspondence

Triantafyllos Afouras, Yuki M. Asano, Francois Fagan, Andrea Vedaldi, Florian Metze

Comments Accepted to CVPR 2022

Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model

Yihong Sun, Adam Kortylewski, Alan Yuille

Comments CVPR 2022

An Embedding-Dynamic Approach to Self-supervised Learning

Suhong Moon, Domas Buracas, Seunghyun Park, Jinkyu Kim, John Canny

Comments 24 pages, 3 figures, submitted to CVPR 2022

Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions

Hongwei Xue, Tiankai Hang, Yanhong Zeng, Yuchong Sun, Bei Liu, Huan Yang, Jianlong Fu, Baining Guo

Journal ref published in CVPR 2022

Finding Fallen Objects Via Asynchronous Audio-Visual Integration

Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh McDermott, Antonio Torralba

Comments CVPR 2022. Project page: http://fallen-object.csail.mit.edu

EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2022: Team HNU-FPV Technical Report

Nie Lin, Minjie Cai

Comments Technical report for CVPR 2022 EPIC-Ego4D Workshop (EPIC Challenge)

Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation

Damien Robert, Bruno Vallet, Loic Landrieu

Comments Accepted to CVPR 2022 with an Oral presentation and Best Paper candidate; camera ready version. 17 pages, 11 figures. Code and data available at https://github.com/drprojects/DeepViewAgg

Journal ref In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 5575-5584. 2022

Focus Is All You Need: Loss Functions For Event-based Vision

Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza

Comments 29 pages, 19 figures, 4 tables

Journal ref IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, 2019