CVPR

Relation Modeling in Spatio-Temporal Action Localization

Yutong Feng, Jianwen Jiang, Ziyuan Huang, Zhiwu Qing, Xiang Wang, Shiwei Zhang, Mingqian Tang, Yue Gao

Comments CVPR 2021 ActivityNet Workshop Report

Towards Evaluating and Training Verifiably Robust Neural Networks

Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin

Comments Accepted to CVPR 2021 (Oral)

Training Generative Adversarial Networks in One Stage

Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song

Comments Accepted to CVPR 2021

ASMNet: a Lightweight Deep Neural Network for Face Alignment and Pose Estimation

Ali Pourramezan Fard, Hojjat Abdollahi, Mohammad Mahoor

Comments Accepted at CVPR 2021 Biometrics Workshop, jointly with the Workshop on Analysis and Modeling of Faces and Gestures

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021, pp. 1521-1530

Dynamic Head: Unifying Object Detection Heads with Attentions

Xiyang Dai, Yinpeng Chen, Bin Xiao, Dongdong Chen, Mengchen Liu, Lu Yuan, Lei Zhang

Comments CVPR 2021 camera ready with extensions

Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection

Zhenyu Zhang, Yanhao Ge, Renwang Chen, Ying Tai, Yan Yan, Jian Yang, Chengjie Wang, Jilin Li, Feiyue Huang

Comments CVPR 2021 Oral, 11 pages, 9 figures

DFM: A Performance Baseline for Deep Feature Matching

Ufuk Efe, Kutalmis Gokalp Ince, A. Aydin Alatan

Comments CVPR 2021 Image Matching Workshop Camera Ready Version

Flow Guided Transformable Bottleneck Networks for Motion Retargeting

Jian Ren, Menglei Chai, Oliver J. Woodford, Kyle Olszewski, Sergey Tulyakov

Comments CVPR 2021

The 2021 Hotel-ID to Combat Human Trafficking Competition Dataset

Rashmi Kamath, Gregory Rolwes, Samuel Black, Abby Stylianou

Comments CVPR 2021 Workshop on Fine-Grained Visual Categorization (FGVC)

DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks

Abhishek Singh, Ayush Chopra, Vivek Sharma, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Ramesh Raskar

Comments Presented at CVPR 2021

End-to-End Human Pose and Mesh Reconstruction with Transformers

Kevin Lin, Lijuan Wang, Zicheng Liu

Comments CVPR 2021

Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings

Jaskirat Singh, Liang Zheng

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 16387-16396

Magic Layouts: Structural Prior for Component Detection in User Interface Designs

Dipu Manandhar, Hailin Jin, John Collomosse

Comments CVPR 2021

TimeLens: Event-based Video Frame Interpolation

Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza

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

Self-training Guided Adversarial Domain Adaptation For Thermal Imagery

Ibrahim Batuhan Akkaya, Fazil Altinel, Ugur Halici

Comments Accepted to CVPR 2021 Perception Beyond the Visible Spectrum (PBVS) workshop

DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking

Kha Gia Quach, Pha Nguyen, Huu Le, Thanh-Dat Truong, Chi Nhan Duong, Minh-Triet Tran, Khoa Luu

Comments accepted at CVPR 2021

Diffusion Probabilistic Models for 3D Point Cloud Generation

Shitong Luo, Wei Hu

Comments Accepted to CVPR 2021

Probabilistic Embeddings for Cross-Modal Retrieval

Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus

Comments Accepted to CVPR 2021; Code is available at https://github.com/naver-ai/pcme

Neural Descent for Visual 3D Human Pose and Shape

Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu

Comments CVPR 2021

Meta-Learning of Neural Architectures for Few-Shot Learning

Thomas Elsken, Benedikt Staffler, Jan Hendrik Metzen, Frank Hutter

Journal ref 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions

Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha

Comments Accepted by CVPR 2020; The code is available at https://github.com/Sha-Lab/FEAT

Reverse-engineer the Distributional Structure of Infant Egocentric Views for Training Generalizable Image Classifiers

Satoshi Tsutsui, David Crandall, Chen Yu

Comments Accepted to 2021 CVPR Workshop on Egocentric Perception, Interaction and Computing (EPIC)

Mirror3D: Depth Refinement for Mirror Surfaces

Jiaqi Tan, Weijie Lin, Angel X. Chang, Manolis Savva

Comments Paper presented at CVPR 2021. For code, data and pretrained models, see https://3dlg-hcvc.github.io/mirror3d/

HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers

Mingyu Ding, Xiaochen Lian, Linjie Yang, Peng Wang, Xiaojie Jin, Zhiwu Lu, Ping Luo

Comments Accepted by CVPR 2021 (Oral)

Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding

Xin Wen, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu

Comments Accepted to CVPR 2021

PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths

Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu

Comments Accepted by CVPR 2021

Understanding Failures of Deep Networks via Robust Feature Extraction

Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz

Comments Accepted at CVPR, 2021

Shared Cross-Modal Trajectory Prediction for Autonomous Driving

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

Comments CVPR 2021 [Oral]. arXiv admin note: substantial text overlap with arXiv:2011.08436

View Generalization for Single Image Textured 3D Models

Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro

Comments CVPR 2021. Project website: https://nv-adlr.github.io/view-generalization

Part-aware Panoptic Segmentation

Daan de Geus, Panagiotis Meletis, Chenyang Lu, Xiaoxiao Wen, Gijs Dubbelman

Comments CVPR 2021. Code and data: https://github.com/tue-mps/panoptic_parts