CVPR

NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks

Eugene Lee, Chen-Yi Lee

Comments 17 pages, 11 figures, accepted by CVPR as oral paper

Journal ref In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 1478-1487) 2020

Detection in Crowded Scenes: One Proposal, Multiple Predictions

Xuangeng Chu, Anlin Zheng, Xiangyu Zhang, Jian Sun

Comments CVPR 2020 Oral

ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization

Felix Ott, Tobias Feigl, Christoffer Löffler, Christopher Mutschler

Comments Conf. on Computer Vision and Pattern Recognition (CVPR): Joint Workshop on Long-Term Visual Localization, Visual Odometry and Geometric and Learning-based SLAM 2020

IA-MOT: Instance-Aware Multi-Object Tracking with Motion Consistency

Jiarui Cai, Yizhou Wang, Haotian Zhang, Hung-Min Hsu, Chengqian Ma, Jenq-Neng Hwang

Comments The 5th Benchmarking Multi-Target Tracking (BMTT) Workshop, CVPR 2020

GIFnets: Differentiable GIF Encoding Framework

Innfarn Yoo, Xiyang Luo, Yilin Wang, Feng Yang, Peyman Milanfar

Journal ref The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 14473-14482

Instant 3D Object Tracking with Applications in Augmented Reality

Adel Ahmadyan, Tingbo Hou, Jianing Wei, Liangkai Zhang, Artsiom Ablavatski, Matthias Grundmann

Comments 4 pages, five figures, CVPR Fourth Workshop on Computer Vision for AR/VR

BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud

Mong H. Ng, Kaahan Radia, Jianfei Chen, Dequan Wang, Ionel Gog, Joseph E. Gonzalez

Comments Accepted into CVPR 2020 Workshop Scalability in Autonomous Driving by Waymo

Why Having 10,000 Parameters in Your Camera Model is Better Than Twelve

Thomas Schöps, Viktor Larsson, Marc Pollefeys, Torsten Sattler

Comments 15 pages, 12 figures, accepted to CVPR 2020 as an oral

C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning

Yifei Xing, Rudrasis Chakraborty, Minxuan Duan, Stella Yu

Comments Submitted to CVPR PBVS workshop

Deep Iterative Surface Normal Estimation

Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci

Comments Presented at CVPR 2020

Semi-Supervised Object Detection with Sparsely Annotated Dataset

Jihun Yoon, Seungbum Hong, Sanha Jeong, Min-Kook Choi

Comments Challenge Winner in Epic-Kitchens 2020 Object Detection Challenge (EPIC@CVPR 2020)

Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation Learning

Yuan Yao, Chang Liu, Dezhao Luo, Yu Zhou, Qixiang Ye

Comments CVPR 2020

Video Panoptic Segmentation

Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon

Comments CVPR 2020 Oral. Code: see https://github.com/mcahny/vps

Learning Texture Transformer Network for Image Super-Resolution

Fuzhi Yang, Huan Yang, Jianlong Fu, Hongtao Lu, Baining Guo

Comments Accepted by CVPR 2020

Lightweight Multi-View 3D Pose Estimation through Camera-Disentangled Representation

Edoardo Remelli, Shangchen Han, Sina Honari, Pascal Fua, Robert Wang

Journal ref The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 6040-6049

Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications

Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka

Comments Accepted for publication at CVPR 2020

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li

Comments Accepted by CVPR 2020 as Oral; Best Paper Nomination

Instance Shadow Detection

Tianyu Wang, Xiaowei Hu, Qiong Wang, Pheng-Ann Heng, Chi-Wing Fu

Comments Accepted to CVPR 2020

Journal ref IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1880-1889, 2020

On the Regularization Properties of Structured Dropout

Ambar Pal, Connor Lane, René Vidal, Benjamin D. Haeffele

Comments Accepted at Computer Vision and Pattern Recognition (CVPR) 2020

Inducing Hierarchical Compositional Model by Sparsifying Generator Network

Xianglei Xing, Tianfu Wu, Song-Chun Zhu, Ying Nian Wu

Comments This is the CVPR version

Self-training with Noisy Student improves ImageNet classification

Qizhe Xie, Minh-Thang Luong, Eduard Hovy, Quoc V. Le

Comments CVPR 2020

Attention Mesh: High-fidelity Face Mesh Prediction in Real-time

Ivan Grishchenko, Artsiom Ablavatski, Yury Kartynnik, Karthik Raveendran, Matthias Grundmann

Comments 4 pages, 5 figures; CVPR Workshop on Computer Vision for Augmented and Virtual Reality, Seattle, WA, USA, 2020

Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm

Muhammad Zaigham Zaheer, Jin-ha Lee, Marcella Astrid, Seung-Ik Lee

Comments Accepted at the Conference on Computer Vision and Pattern Recognition CVPR 2020. http://openaccess.thecvf.com/content_CVPR_2020/html/Zaheer_Old_Is_Gold_Redefining_the_Adversarially_Learned_One-Class_Classifier_Training_CVPR_2020_paper.html

A Morphable Face Albedo Model

William A. P. Smith, Alassane Seck, Hannah Dee, Bernard Tiddeman, Joshua Tenenbaum, Bernhard Egger

Comments CVPR 2020

Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax

Yu Li, Tao Wang, Bingyi Kang, Sheng Tang, Chunfeng Wang, Jintao Li, Jiashi Feng

Comments CVPR 2020 (Oral). Code is available at https://github.com/FishYuLi/BalancedGroupSoftmax

Online Deep Clustering for Unsupervised Representation Learning

Xiaohang Zhan, Jiahao Xie, Ziwei Liu, Yew Soon Ong, Chen Change Loy

Comments Accepted by CVPR 2020. Code: https://github.com/open-mmlab/OpenSelfSup

MediaPipe Hands: On-device Real-time Hand Tracking

Fan Zhang, Valentin Bazarevsky, Andrey Vakunov, Andrei Tkachenka, George Sung, Chuo-Ling Chang, Matthias Grundmann

Comments 5 pages, 7 figures; CVPR Workshop on Computer Vision for Augmented and Virtual Reality, Seattle, WA, USA, 2020

BlazePose: On-device Real-time Body Pose tracking

Valentin Bazarevsky, Ivan Grishchenko, Karthik Raveendran, Tyler Zhu, Fan Zhang, Matthias Grundmann

Comments 4 pages, 6 figures; CVPR Workshop on Computer Vision for Augmented and Virtual Reality, Seattle, WA, USA, 2020

Sky Optimization: Semantically aware image processing of skies in low-light photography

Orly Liba, Longqi Cai, Yun-Ta Tsai, Elad Eban, Yair Movshovitz-Attias, Yael Pritch, Huizhong Chen, Jonathan T. Barron

Comments Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. 2020

Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

Abduallah Mohamed, Kun Qian, Mohamed Elhoseiny, Christian Claudel

Comments Accepted by CVPR 2020

Journal ref The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 14424-14432