CVPR

Improvements to context based self-supervised learning

T. Nathan Mundhenk, Daniel Ho, Barry Y. Chen

Comments Accepted paper at CVPR 2018

Learning Mesh Representations via Binary Space Partitioning Tree Networks

Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang

Comments Accepted to TPAMI. This is the extended journal version of BSP-Net (arXiv:1911.06971) from CVPR 2020

PointGuard: Provably Robust 3D Point Cloud Classification

Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong

Comments Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion Analysis

Xin Liu, Henglin Shi, Haoyu Chen, Zitong Yu, Xiaobai Li, Guoying Zhaoz?

Comments CVPR 2021

Revisiting Knowledge Distillation: An Inheritance and Exploration Framework

Zhen Huang, Xu Shen, Jun Xing, Tongliang Liu, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua

Comments Accepted by CVPR 2021

Recurrently Estimating Reflective Symmetry Planes from Partial Pointclouds

Mihaela Cătălina Stoian, Tommaso Cavallari

Comments Presented at the CVPR 2021 Workshop on 3D Vision and Robotics

Distill on the Go: Online knowledge distillation in self-supervised learning

Prashant Bhat, Elahe Arani, Bahram Zonooz

Comments Spotlight @ Learning from Limited or Imperfect Data (L2ID) Workshop - CVPR 2021

Exploring Vision Transformers for Fine-grained Classification

Marcos V. Conde, Kerem Turgutlu

Comments 4 pages, 5 figures, 4 tables. Published in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2021 - FGVC8. For code see https://github.com/mv-lab/ViT-FGVC8 and for other workshop papers see https://sites.google.com/view/fgvc8/papers

Differentiable Diffusion for Dense Depth Estimation from Multi-view Images

Numair Khan, Min H. Kim, James Tompkin

Journal ref CVPR 2021

Information-Theoretic Segmentation by Inpainting Error Maximization

Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester

Comments Published as a conference paper at CVPR 2021

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency

Xin Lai, Zhuotao Tian, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia

Comments Accepted to CVPR 2021. Code is available at https://github.com/dvlab-research/Context-Aware-Consistency

Real-time 3D Object Detection using Feature Map Flow

Youshaa Murhij, Dmitry Yudin

Comments CVPR 2021 Workshop on autonomous driving (Waymo Real-time 3D Detection)

Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation

Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou

Comments Accepted by CVPR 2021 (2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2021))

Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts

Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie

Comments CVPR 2021

To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels

Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, Dragomir Anguelov

Journal ref CVPR 2021

RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection

Pei Sun, Weiyue Wang, Yuning Chai, Gamaleldin Elsayed, Alex Bewley, Xiao Zhang, Cristian Sminchisescu, Dragomir Anguelov

Journal ref CVPR 2021

Generalized Unsupervised Clustering of Hyperspectral Images of Geological Targets in the Near Infrared

Angela F. Gao, Brandon Rasmussen, Peter Kulits, Eva L. Scheller, Rebecca Greenberger, Bethany L. Ehlmann

Comments 10 pages, 4 figures. Accepted, CVPR PBVS Workshop 2021

When Differential Privacy Meets Interpretability: A Case Study

Rakshit Naidu, Aman Priyanshu, Aadith Kumar, Sasikanth Kotti, Haofan Wang, Fatemehsadat Mireshghallah

Comments 4 pages, 7 figures; Extended abstract presented at RCV-CVPR'21

Masksembles for Uncertainty Estimation

Nikita Durasov, Timur Bagautdinov, Pierre Baque, Pascal Fua

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 13539-13548

AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation

Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn Newsam

Comments short version has been accepted at 1st NAS workshop co-organized with CVPR 2021

Differential Morph Face Detection using Discriminative Wavelet Sub-bands

Baaria Chaudhary, Poorya Aghdaie, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi

Comments CVPR Biometrics Workshop 2021

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021, pp. 1425-1434

Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networks

Takuhiro Kaneko

Comments Accepted to CVPR 2021 (Oral). Project page: https://www.kecl.ntt.co.jp/people/kaneko.takuhiro/projects/ar-gan/

Evaluation of deep lift pose models for 3D rodent pose estimation based on geometrically triangulated data

Indrani Sarkar, Indranil Maji, Charitha Omprakash, Sebastian Stober, Sanja Mikulovic, Pavol Bauer

Comments 5 pages, 6 figures, Accepted at the CVPR 2021 CV4Animals workshop

Florida Wildlife Camera Trap Dataset

Crystal Gagne, Jyoti Kini, Daniel Smith, Mubarak Shah

Comments IEEE Conference on Computer Vision and Pattern Recognition, CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling Workshop, 2021

BABEL: Bodies, Action and Behavior with English Labels

Abhinanda R. Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou, Alejandra Quiros-Ramirez, Michael J. Black

Comments 11 pages, 4 figures, Accepted in CVPR'21

Three-stream network for enriched Action Recognition

Ivaxi Sheth

Comments CVPR 2021 workshop

Embracing Uncertainty: Decoupling and De-bias for Robust Temporal Grounding

Hao Zhou, Chongyang Zhang, Yan Luo, Yanjun Chen, Chuanping Hu

Comments Accepted by CVPR 2021

Contrastive Domain Adaptation

Mamatha Thota, Georgios Leontidis

Comments 10 pages, 6 figures, 5 tables

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021, pp. 2209-2218

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers

Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele

Comments To appear at CVPR 2021

Vision-based Behavioral Recognition of Novelty Preference in Pigs

Aniket Shirke, Rebecca Golden, Mrinal Gautam, Angela Green-Miller, Matthew Caesar, Ryan N. Dilger

Comments 5 pages, 7 figures, Accepted at the CVPR 2021 CV4Animals workshop