CVPR

Towards High Fidelity Face Relighting with Realistic Shadows

Andrew Hou, Ze Zhang, Michel Sarkis, Ning Bi, Yiying Tong, Xiaoming Liu

Comments Accepted to CVPR 2021

Scaling Local Self-Attention for Parameter Efficient Visual Backbones

Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake Hechtman, Jonathon Shlens

Comments CVPR 2021 Oral

What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels

Jeonghun Baek, Yusuke Matsui, Kiyoharu Aizawa

Comments CVPR 2021

DEFT: Detection Embeddings for Tracking

Mohamed Chaabane, Peter Zhang, J. Ross Beveridge, Stephen O'Hara

Comments Accepted at CVPR 2021, ADP3 Workshop on Autonomous Driving: Perception, Prediction and Planning

BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer

Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2021

3D Human Mesh Regression with Dense Correspondence

Wang Zeng, Wanli Ouyang, Ping Luo, Wentao Liu, Xiaogang Wang

Comments To appear at CVPR 2020

Orthogonal Over-Parameterized Training

Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller

Comments CVPR 2021 Oral (43 Pages, Substantial Update from v3, Typos Fixed from v5)

Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines

Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Tien D. Bui

Comments in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016

MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution

Liying Lu, Wenbo Li, Xin Tao, Jiangbo Lu, Jiaya Jia

Comments Accepted by CVPR 2021

Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

Xiaokang Chen, Yuhui Yuan, Gang Zeng, Jingdong Wang

Comments Accepted by CVPR 2021

Good Practices and A Strong Baseline for Traffic Anomaly Detection

Yuxiang Zhao, Wenhao Wu, Yue He, Yingying Li, Xiao Tan, Shifeng Chen

Comments We rank $1^{st}$ in the CVPR 2021 NVIDIA AI CITY Challenge for Traffic Anomaly detection

Regressive Domain Adaptation for Unsupervised Keypoint Detection

Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long

Comments CVPR 2021

Bonsai-Net: One-Shot Neural Architecture Search via Differentiable Pruners

Rob Geada, Dennis Prangle, Andrew Stephen McGough

Comments Accepted to CVPR-NAS 2020. https://github.com/RobGeada/bonsai-net-lite

Fine-Grained Visual Classification of Plant Species In The Wild: Object Detection as A Reinforced Means of Attention

Matthew R. Keaton, Ram J. Zaveri, Meghana Kovur, Cole Henderson, Donald A. Adjeroh, Gianfranco Doretto

Comments 6 pages, 4 figures. Accepted to the CVPR 2021 FGVC Workshop. Models, testing code, and link to dataset can be found at https://github.com/wvuvl/DARMA

Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations

Bohan Zhuang, Jing Liu, Mingkui Tan, Lingqiao Liu, Ian Reid, Chunhua Shen

Comments Accepted to IEEE T. Pattern Analysis and Machine Intelligence (TPAMI). Extended version of arXiv:1711.00205 (CVPR 2018)

Adversarially Adaptive Normalization for Single Domain Generalization

Xinjie Fan, Qifei Wang, Junjie Ke, Feng Yang, Boqing Gong, Mingyuan Zhou

Comments CVPR 2021

Generalized Domain Adaptation

Yu Mitsuzumi, Go Irie, Daiki Ikami, Takashi Shibata

Comments Accepted by CVPR 2021. Code is available at https://github.com/nttcslab/Generalized-Domain-Adaptation

Semantic Palette: Guiding Scene Generation with Class Proportions

Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez, Matthieu Cord

Comments Accepted to IEEE CVPR 2021

Towards Robust Classification Model by Counterfactual and Invariant Data Generation

Chun-Hao Chang, George Alexandru Adam, Anna Goldenberg

Comments Accepted in 2021 CVPR

Towards Unified Surgical Skill Assessment

Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li

Comments CVPR 2021

Cleaning and Structuring the Label Space of the iMet Collection 2020

Vivien Nguyen, Sunnie S. Y. Kim

Comments A shorter version of this work was accepted to the CVPR 2021 FGVC Workshop

ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks

Xinshao Wang, Yang Hua, Elyor Kodirov, David A. Clifton, Neil M. Robertson

Comments ProSelfLC is the first method to trust self knowledge progressively and adaptively. ProSelfLC redirects and promotes entropy minimisation, which is in marked contrast to recent practices of confidence penalty [42, 33, 6]

Journal ref CVPR 2021

PanoDR: Spherical Panorama Diminished Reality for Indoor Scenes

V. Gkitsas, V. Sterzentsenko, N. Zioulis, G. Albanis, D. Zarpalas

Comments Accepted at CVPR, OmniCV Workshop. Code and models are available at https://vcl3d.github.io/PanoDR/

Semi-Supervised Disparity Estimation with Deep Feature Reconstruction

Julia Guerrero-Viu, Sergio Izquierdo, Philipp Schröppel, Thomas Brox

Comments Women in Computer Vision workshop CVPR 2021

Table Tennis Stroke Recognition Using Two-Dimensional Human Pose Estimation

Kaustubh Milind Kulkarni, Sucheth Shenoy

Comments Accepted at CVPR Sports Workshop 2021 (7th International Workshop on Computer Vision in Sports) (CVSports)

Connecting Language and Vision for Natural Language-Based Vehicle Retrieval

Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Yi Yang, Hongxia Yang

Comments CVPR 2021 AI CITY CHALLENGE Natural Language-Based Vehicle Retrieval Top 1

Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner

Chaehyeon Lee, Junghoon Seo, Heechul Jung

Comments 2021 CVPR Workshop

LiBRe: A Practical Bayesian Approach to Adversarial Detection

Zhijie Deng, Xiao Yang, Shizhen Xu, Hang Su, Jun Zhu

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

DeepSurfels: Learning Online Appearance Fusion

Marko Mihajlovic, Silvan Weder, Marc Pollefeys, Martin R. Oswald

Comments In Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2021

pixelNeRF: Neural Radiance Fields from One or Few Images

Alex Yu, Vickie Ye, Matthew Tancik, Angjoo Kanazawa

Comments CVPR 2021