CVPR

DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection

Liming Jiang, Ren Li, Wayne Wu, Chen Qian, Chen Change Loy

Comments CVPR 2020. Project page: https://liming-jiang.com/projects/DrF1/DrF1.html

BSP-Net: Generating Compact Meshes via Binary Space Partitioning

Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang

Comments CVPR 2020 Best Student Paper Award. Project page: https://bsp-net.github.io, Code: https://github.com/czq142857/BSP-NET-original

Any-Width Networks

Thanh Vu, Marc Eder, True Price, Jan-Michael Frahm

Comments 8 pages. Published at CVPR 2020 Workshop on Efficient Deep Learning in Computer Vision. Code at https://github.com/thanhmvu/awn

3D-NVS: A 3D Supervision Approach for Next View Selection

Kumar Ashutosh, Saurabh Kumar, Subhasis Chaudhuri

Comments Submitted to CVPR-21

Deep Learning for Automatic Pneumonia Detection

Tatiana Gabruseva, Dmytro Poplavskiy, Alexandr A. Kalinin

Comments to appear in CVPR 2020 Workshops proceedings

Journal ref 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA, 2020, pp. 1436-1443

Basis Prediction Networks for Effective Burst Denoising with Large Kernels

Zhihao Xia, Federico Perazzi, Michaël Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti

Comments CVPR 2020. Project website at https://www.cse.wustl.edu/~zhihao.xia/bpn/

Learning from Millions of 3D Scans for Large-scale 3D Face Recognition

Syed Zulqarnain Gilani, Ajmal Mian

Comments 11 pages

Journal ref IEEE Conference on Computer Vision and Pattern Recognition, 2018

Unsupervised Part Discovery via Feature Alignment

Mengqi Guo, Yutong Bai, Zhishuai Zhang, Adam Kortylewski, Alan Yuille

Comments 10 pages, 9 figures, submitted to CVPR 2021

CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks

Maxim Maximov, Ismail Elezi, Laura Leal-Taixé

Comments CVPR 2020

Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation

Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang

Comments Accepted to CVPR 2020, https://github.com/lliuz/ARFlow

AdaCoSeg: Adaptive Shape Co-Segmentation with Group Consistency Loss

Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas Guibas, Hao Zhang

Comments CVPR 2020

BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames

Brent A. Griffin, Jason J. Corso

Comments CVPR 2019

Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice

Yabin Zhang, Bin Deng, Hui Tang, Lei Zhang, Kui Jia

Comments CVPR extension; TPAMI camera ready version: https://ieeexplore.ieee.org/document/9253700; IEEE copyright; Codes are available at: https://github.com/YBZh/MultiClassDA

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),10 November 2020

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation

Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Yuexin Ma, Wei Li, Hongsheng Li, Dahua Lin

Comments This work achieves the 1st place in the leaderboard of SemanticKITTI (until CVPR DDL) and based on this work, we also achieve the 1st place in the leaderboard of SemanticKITTI panoptic segmentation; Code at https://github.com/xinge008/Cylinder3D

Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery

Zhuo Zheng, Yanfei Zhong, Junjue Wang, Ailong Ma

Comments Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR). 2020

PointConv: Deep Convolutional Networks on 3D Point Clouds

Wenxuan Wu, Zhongang Qi, Li Fuxin

Comments CVPR 2019

Improved Soccer Action Spotting using both Audio and Video Streams

Bastien Vanderplaetse, Stéphane Dupont

Comments Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, pp. 896-897

L^2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion

Tunai Porto Marques, Alexandra Branzan Albu

Comments Presented on the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop NTIRE: New Trends in Image Restoration and Enhancement. Code and dataset available at: https://github.com/tunai/l2uwe

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020, pp. 538-539

LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks

Hang Zhou, Dongdong Chen, Jing Liao, Weiming Zhang, Kejiang Chen, Xiaoyi Dong, Kunlin Liu, Gang Hua, Nenghai Yu

Comments CVPR 2020, code available at: https://github.com/RyanHangZhou/LG-GAN

Neural Head Reenactment with Latent Pose Descriptors

Egor Burkov, Igor Pasechnik, Artur Grigorev, Victor Lempitsky

Journal ref 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 13783-13792

What it Thinks is Important is Important: Robustness Transfers through Input Gradients

Alvin Chan, Yi Tay, Yew-Soon Ong

Comments Accepted as Oral in CVPR 2020, Camera-Ready Version

Sub-frame Appearance and 6D Pose Estimation of Fast Moving Objects

Denys Rozumnyi, Jan Kotera, Filip Sroubek, Jiri Matas

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

On the Detection of Digital Face Manipulation

Hao Dang, Feng Liu, Joel Stehouwer, Xiaoming Liu, Anil Jain

Comments Accepted by CVPR 2020

The Perception-Distortion Tradeoff

Yochai Blau, Tomer Michaeli

Comments CVPR 2018 (long oral presentation), see talk at: https://youtu.be/_aXbGqdEkjk?t=39m43s

Journal ref Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6228-6237, 2018

LID 2020: The Learning from Imperfect Data Challenge Results

Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He

Comments Summary of the 2nd Learning from Imperfect Data Workshop in conjunction with CVPR 2020

Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection

Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz

Comments CVPR 2020

Context-aware Deep Feature Compression for High-speed Visual Tracking

Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi

Comments 9 pages, 6 figures, Accepted in CVPR2018 (IEEE conference on Computer Vision and Pattern Recognition)

Journal ref IEEE Conference on Computer Vision and Pattern Recognition (CVPR2018)

Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and Sampling

Ruiqi Gao, Yang Lu, Junpei Zhou, Song-Chun Zhu, Ying Nian Wu

Comments CVPR 2018

Viewpoint-Aware Channel-Wise Attentive Network for Vehicle Re-Identification

Tsai-Shien Chen, Man-Yu Lee, Chih-Ting Liu, Shao-Yi Chien

Comments CVPR Workshop 2020

Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection

Nian Liu, Ni Zhang, Ling Shao, Junwei Han

Comments Journal extension of our CVPR paper entitled "Learning Selective Self-Mutual Attention for RGB-D Saliency Detection" appeared in CVPR 2020