CVPR

Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings

Mihai Dusmanu, Johannes L. Schönberger, Sudipta N. Sinha, Marc Pollefeys

Comments Accepted at CVPR 2021. 16 pages, 10 figures, 4 tables

Learning Multi-Scale Photo Exposure Correction

Mahmoud Afifi, Konstantinos G. Derpanis, Björn Ommer, Michael S. Brown

Comments CVPR 2021

Point Cloud Instance Segmentation using Probabilistic Embeddings

Biao Zhang, Peter Wonka

Comments Accepted by CVPR 2021. Project: http://1zb.github.io/publication/prob-embed/

High-Fidelity and Arbitrary Face Editing

Yue Gao, Fangyun Wei, Jianmin Bao, Shuyang Gu, Dong Chen, Fang Wen, Zhouhui Lian

Comments CVPR 2021

Semi-Supervised Action Recognition with Temporal Contrastive Learning

Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das

Comments Accepted in CVPR 2021

Meta Batch-Instance Normalization for Generalizable Person Re-Identification

Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim

Comments CVPR 2021

Task Programming: Learning Data Efficient Behavior Representations

Jennifer J. Sun, Ann Kennedy, Eric Zhan, David J. Anderson, Yisong Yue, Pietro Perona

Comments To appear in as an Oral in CVPR 2021. Code: https://github.com/neuroethology/TREBA. Project page: https://sites.google.com/view/task-programming

Cloud2Curve: Generation and Vectorization of Parametric Sketches

Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song

Comments Accepted at CVPR 2021 (Poster)

Capsule Network is Not More Robust than Convolutional Network

Jindong Gu, Volker Tresp, Han Hu

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

No frame left behind: Full Video Action Recognition

Xin Liu, Silvia L. Pintea, Fatemeh Karimi Nejadasl, Olaf Booij, Jan C. van Gemert

Comments Accepted to CVPR 2021

Attention-guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton

Xi Zhang, Xiaolin Wu

Comments Accepted to CVPR 2021

POSEFusion: Pose-guided Selective Fusion for Single-view Human Volumetric Capture

Zhe Li, Tao Yu, Zerong Zheng, Kaiwen Guo, Yebin Liu

Comments CVPR 2021 (Oral presentation), for more information, please refer to the projectpage http://www.liuyebin.com/posefusion/posefusion.html

LiDAR R-CNN: An Efficient and Universal 3D Object Detector

Zhichao Li, Feng Wang, Naiyan Wang

Comments CVPR 2021 camera-ready

Generalizing to the Open World: Deep Visual Odometry with Online Adaptation

Shunkai Li, Xin Wu, Yingdian Cao, Hongbin Zha

Comments Accepted by CVPR 2021

ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning

Dominik Bauer, Timothy Patten, Markus Vincze

Comments Accepted at CVPR 2021

Learning Placeholders for Open-Set Recognition

Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

Comments Accepted to CVPR 2021 as an Oral Presentation

Picasso: A CUDA-based Library for Deep Learning over 3D Meshes

Huan Lei, Naveed Akhtar, Ajmal Mian

Comments Accepted to CVPR2021

Journal ref CVPR,2021

Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation

Zixiang Zhou, Yang Zhang, Hassan Foroosh

Comments Accepted by CVPR 2021

Embedding Transfer with Label Relaxation for Improved Metric Learning

Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak

Comments Accepted to CVPR 2021

Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling

Yan-Cheng Huang, Yi-Hsin Chen, Cheng-You Lu, Hui-Po Wang, Wen-Hsiao Peng, Ching-Chun Huang

Comments Accepted by CVPR 2021

Tuning IR-cut Filter for Illumination-aware Spectral Reconstruction from RGB

Bo Sun, Junchi Yan, Xiao Zhou, Yinqiang Zheng

Comments CVPR 2021 - Oral

Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation

Dohun Lim, Hyeonseok Lee, Sungchan Kim

Comments Accepted to CVPR 2021. The supplementary materials are included

Robust and Accurate Object Detection via Adversarial Learning

Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong

Comments CVPR 2021. Models are available at https://github.com/google/automl/tree/master/efficientdet/Det-AdvProp.md

DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation

Seunghun Lee, Sunghyun Cho, Sunghoon Im

Comments Accepted to CVPR 2021

Diverse Branch Block: Building a Convolution as an Inception-like Unit

Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding

Comments CVPR 2021

Structure-Aware Face Clustering on a Large-Scale Graph with $\bf{10^{7}}$ Nodes

Shuai Shen, Wanhua Li, Zheng Zhu, Guan Huang, Dalong Du, Jiwen Lu, Jie Zhou

Comments Accepted by the CVPR 2021. Project: https://sstzal.github.io/STAR-FC/

Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation

M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen

Comments CVPR 2021

CDFI: Compression-Driven Network Design for Frame Interpolation

Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov

Comments To appear in the proceedings of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation

Brendan Duke, Abdalla Ahmed, Christian Wolf, Parham Aarabi, Graham W. Taylor

Comments CVPR 2021 (Oral)

Temporal-Relational CrossTransformers for Few-Shot Action Recognition

Toby Perrett, Alessandro Masullo, Tilo Burghardt, Majid Mirmehdi, Dima Damen

Comments Accepted in CVPR 2021