CVPR

Less Is More: Linear Layers on CLIP Features as Powerful VizWiz Model

Fabian Deuser, Konrad Habel, Philipp J. Rösch, Norbert Oswald

Comments VizWiz Grand Challenge: Describing Images and Videos Taken by Blind People (CVPR Workshop 2022)

Exploring Map-based Features for Efficient Attention-based Vehicle Motion Prediction

Carlos Gómez-Huélamo, Marcos V. Conde, Miguel Ortiz

Comments CVPR MABe 2022 - ICRA FFPFAD 2022 Workshops

Multi-Frame Self-Supervised Depth with Transformers

Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon

Comments Accepted to CVPR 2022 (correct project page)

Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation

Jinman Park, Kimathi Kaai, Saad Hossain, Norikatsu Sumi, Sirisha Rambhatla, Paul Fieguth

Comments 4 pages, Extended abstract, Joint International Workshop on Egocentric Perception, Interaction and Computing (EPIC) and Ego4D, IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2022

The 6th AI City Challenge

Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa

Comments Summary of the 6th AI City Challenge Workshop in conjunction with CVPR 2022. arXiv admin note: text overlap with arXiv:2104.12233

How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs

Hazel Doughty, Cees G. M. Snoek

Comments Accepted to CVPR 2022

Object-Region Video Transformers

Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson

Comments CVPR 2022

Open Challenges in Deep Stereo: the Booster Dataset

Pierluigi Zama Ramirez, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano

Comments CVPR 2022, New Orleans. Project page: https://cvlab-unibo.github.io/booster-web/

GateHUB: Gated History Unit with Background Suppression for Online Action Detection

Junwen Chen, Gaurav Mittal, Ye Yu, Yu Kong, Mei Chen

Comments CVPR 2022

DiSparse: Disentangled Sparsification for Multitask Model Compression

Xinglong Sun, Ali Hassani, Zhangyang Wang, Gao Huang, Humphrey Shi

Comments Accepted at CVPR 2022

Towards Layer-wise Image Vectorization

Xu Ma, Yuqian Zhou, Xingqian Xu, Bin Sun, Valerii Filev, Nikita Orlov, Yun Fu, Humphrey Shi

Comments Accepted as Oral Presentation at CVPR 2022

VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution

Zeyuan Chen, Yinbo Chen, Jingwen Liu, Xingqian Xu, Vidit Goel, Zhangyang Wang, Humphrey Shi, Xiaolong Wang

Comments Accepted to CVPR 2022. Project page: http://zeyuan-chen.com/VideoINR/

Segmentation Enhanced Lameness Detection in Dairy Cows from RGB and Depth Video

Eric Arazo, Robin Aly, Kevin McGuinness

Comments Accepted at the CV4Animals workshop in CVPR 2022

TubeDETR: Spatio-Temporal Video Grounding with Transformers

Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid

Comments Updated vIoU results compared to the CVPR'22 camera-ready version; 17 pages; 8 figures

What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors

Christos Matsoukas, Johan Fredin Haslum, Moein Sorkhei, Magnus Söderberg, Kevin Smith

Comments Originally published at CVPR 2022

Contrastive Regularization for Semi-Supervised Learning

Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han

Comments CVPR'22 Workshop on Learning with Limited Labelled Data for Image and Video Understanding

Backdoor Attacks on Self-Supervised Learning

Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash

Comments CVPR 2022 (Oral)

Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation

Zihan Ding, Tianrui Hui, Junshi Huang, Xiaoming Wei, Jizhong Han, Si Liu

Comments Accepted by CVPR 2022

Large Loss Matters in Weakly Supervised Multi-Label Classification

Youngwook Kim, Jae Myung Kim, Zeynep Akata, Jungwoo Lee

Comments CVPR 2022. First two authors contributed equally

Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning

Chia-Wen Kuo, Zsolt Kira

Comments paper accepted in CVPR 2022

Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning

Li Yang, Yan Xu, Chunfeng Yuan, Wei Liu, Bing Li, Weiming Hu

Comments Accepted to CVPR 2022

Unified Transformer Tracker for Object Tracking

Fan Ma, Mike Zheng Shou, Linchao Zhu, Haoqi Fan, Yilei Xu, Yi Yang, Zhicheng Yan

Comments CVPR 2022

iPLAN: Interactive and Procedural Layout Planning

Feixiang He, Yanlong Huang, He Wang

Comments Accepted in CVPR 2022

Convolutions for Spatial Interaction Modeling

Zhaoen Su, Chao Wang, David Bradley, Carlos Vallespi-Gonzalez, Carl Wellington, Nemanja Djuric

Comments Supplementary material included, to appear at CVPR2022

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022)

Critical Regularizations for Neural Surface Reconstruction in the Wild

Jingyang Zhang, Yao Yao, Shiwei Li, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan

Comments CVPR 2022

Layered Depth Refinement with Mask Guidance

Soo Ye Kim, Jianming Zhang, Simon Niklaus, Yifei Fan, Simon Chen, Zhe Lin, Munchurl Kim

Comments Accepted to CVPR 2022 (camera-ready version)

The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation

Lin Li, Long Chen, Yifeng Huang, Zhimeng Zhang, Songyang Zhang, Jun Xiao

Comments Accepted by CVPR 2022

DETR++: Taming Your Multi-Scale Detection Transformer

Chi Zhang, Lijuan Liu, Xiaoxue Zang, Frederick Liu, Hao Zhang, Xinying Song, Jindong Chen

Comments T4V: Transformers for Vision workshop @ CVPR 2022

Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps

Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler

Comments CVPR 2022 Oral

A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information

Matthew Kowal, Mennatullah Siam, Md Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis

Comments CVPR 2022