CVPR

G3AN: Disentangling Appearance and Motion for Video Generation

Yaohui Wang, Piotr Bilinski, Francois Bremond, Antitza Dantcheva

Comments CVPR 2020, project link https://wyhsirius.github.io/G3AN/

A Neural Rendering Framework for Free-Viewpoint Relighting

Zhang Chen, Anpei Chen, Guli Zhang, Chengyuan Wang, Yu Ji, Kiriakos N. Kutulakos, Jingyi Yu

Comments The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020

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

Temporal Fusion Network for Temporal Action Localization:Submission to ActivityNet Challenge 2020 (Task E)

Zhiwu Qing, Xiang Wang, Yongpeng Sang, Changxin Gao, Shiwei Zhang, Nong Sang

Comments To appear on CVPR 2020 HACS Workshop (Rank 1st)

Transform and Tell: Entity-Aware News Image Captioning

Alasdair Tran, Alexander Mathews, Lexing Xie

Comments Published in CVPR 2020. Code is available at https://github.com/alasdairtran/transform-and-tell and demo is available at https://transform-and-tell.ml

Journal ref The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 13035-13045

Fine-grained Image-to-Image Transformation towards Visual Recognition

Wei Xiong, Yutong He, Yixuan Zhang, Wenhan Luo, Lin Ma, Jiebo Luo

Comments CVPR 2020 Camera Ready version

MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks

Animesh Karnewar, Oliver Wang

Comments CVPR 2020 (Main Conference). Work sponsored by TomTom and Adobe. Code repository: https://github.com/akanimax/msg-stylegan-tf

GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning

Xinshuo Weng, Yongxin Wang, Yunze Man, Kris Kitani

Comments CVPR 2020. My website for all my research works: http://www.xinshuoweng.com/

Telling Left from Right: Learning Spatial Correspondence of Sight and Sound

Karren Yang, Bryan Russell, Justin Salamon

Comments CVPR 2020

Generalized Product Quantization Network for Semi-supervised Image Retrieval

Young Kyun Jang, Nam Ik Cho

Comments 10 pages, 10 figures, Computer Vision and Pattern Recognition (CVPR) 2020 accpeted paper

Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks

Luca Bertinetto, Romain Mueller, Konstantinos Tertikas, Sina Samangooei, Nicholas A. Lord

Comments To appear at CVPR 2020. Code available at https://github.com/fiveai/making-better-mistakes

Local Deep Implicit Functions for 3D Shape

Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas Funkhouser

Comments Camera ready version for CVPR 2020 Oral. Prior to review, this paper was referred to as DSIF, "Deep Structured Implicit Functions." 11 pages, 9 figures. Project video at https://youtu.be/3RAITzNWVJs

LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation

Keunhong Park, Arsalan Mousavian, Yu Xiang, Dieter Fox

Comments CVPR 2020, Project Page: https://keunhong.com/publications/latentfusion/ , Video: https://youtu.be/tlzcq1KYXd8 , Code: https://github.com/NVlabs/latentfusion . We have added experiments for LINEMOD and have updated the experiments on MOPED. We've also added more technical and implementation details to the methods section

PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames

Yuqi Yang, Shilin Liu, Hao Pan, Yang Liu, Xin Tong

Comments 15 pages, 18 figures. CVPR 2020. Project page: https://haopan.github.io/surfacecnn.html

Journal ref The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 13578-13587

Understanding Human Hands in Contact at Internet Scale

Dandan Shan, Jiaqi Geng, Michelle Shu, David F. Fouhey

Comments To appear at CVPR 2020 (Oral). Project and dataset webpage: http://fouheylab.eecs.umich.edu/~dandans/projects/100DOH/

Transferring and Regularizing Prediction for Semantic Segmentation

Yiheng Zhang, Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Dong Liu, Tao Mei

Comments CVPR 2020

Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation

Yingwei Pan, Ting Yao, Yehao Li, Chong-Wah Ngo, Tao Mei

Comments CVPR 2020

Dynamic Refinement Network for Oriented and Densely Packed Object Detection

Xingjia Pan, Yuqiang Ren, Kekai Sheng, Weiming Dong, Haolei Yuan, Xiaowei Guo, Chongyang Ma, Changsheng Xu

Comments Accepted by CVPR 2020 as Oral

DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing

Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, Zhaopeng Cui

Comments Camera-ready version to appear in CVPR 2020. Project page: http://b1ueber2y.me/projects/DIST-Renderer

Diagnosing Rarity in Human-Object Interaction Detection

Mert Kilickaya, Arnold Smeulders

Comments Accepted at CVPR'20 Workshop on Learning from Limited Labels

TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model

Bo Pang, Yizhuo Li, Yifan Zhang, Muchen Li, Cewu Lu

Comments CVPR-2020 oral paper

3D Photography using Context-aware Layered Depth Inpainting

Meng-Li Shih, Shih-Yang Su, Johannes Kopf, Jia-Bin Huang

Comments CVPR 2020. Project page: https://shihmengli.github.io/3D-Photo-Inpainting/ Code: https://github.com/vt-vl-lab/3d-photo-inpainting Demo: https://colab.research.google.com/drive/1706ToQrkIZshRSJSHvZ1RuCiM__YX3Bz

Hybrid Style Siamese Network: Incorporating style loss in complementary apparels retrieval

Mayukh Bhattacharyya, Sayan Nag

Comments Paper Accepted in the Third Workshop on Computer Vision for Fashion, Art and Design, CVPR 2020

A Multigrid Method for Efficiently Training Video Models

Chao-Yuan Wu, Ross Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl

Comments CVPR 2020

Smooth Proxy-Anchor Loss for Noisy Metric Learning

Carlos Roig, David Varas, Issey Masuda, Juan Carlos Riveiro, Elisenda Bou-Balust

Comments The 4th Workshop on Visual Understanding by Learning from Web Data (CVPR 2020)

Journal ref The 4th Workshop on Visual Understanding by Learning from Web Data (CVPR 2020)

A Self-supervised Approach for Adversarial Robustness

Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli

Comments CVPR-2020 (Oral). Code this http https://github.com/Muzammal-Naseer/NRP}

Unsupervised Multi-label Dataset Generation from Web Data

Carlos Roig, David Varas, Issey Masuda, Juan Carlos Riveiro, Elisenda Bou-Balust

Comments The 3rd Workshop on Visual Understanding by Learning from Web Data 2019

Journal ref The 3rd Workshop on Visual Understanding by Learning from Web Data (CVPR 2019)

Semi-Supervised Semantic Segmentation with Cross-Consistency Training

Yassine Ouali, Céline Hudelot, Myriam Tami

Comments Published at CVPR 2020

Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation

Zhonghao Wang, Mo Yu, Yunchao Wei, Rogerio Feris, Jinjun Xiong, Wen-mei Hwu, Thomas S. Huang, Humphrey Shi

Comments CVPR 2020

Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View with a Reachability Prior

Osama Makansi, Özgün Cicek, Kevin Buchicchio, Thomas Brox

Comments In CVPR 2020

Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection

Liang Du, Xiaoqing Ye, Xiao Tan, Jianfeng Feng, Zhenbo Xu, Errui Ding, Shilei Wen

Comments 8 pages, 5 figures, CVPR 2020