CVPR

A Quantum Computational Approach to Correspondence Problems on Point Sets

Vladislav Golyanik, Christian Theobalt

Comments 11 pages, 5 figures, 2 tables, CVPR

Cost Volume Pyramid Based Depth Inference for Multi-View Stereo

Jiayu Yang, Wei Mao, Jose M. Alvarez, Miaomiao Liu

Comments CVPR 2020 oral

ViBE: Dressing for Diverse Body Shapes

Wei-Lin Hsiao, Kristen Grauman

Comments Accepted to CVPR 2020

The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

Junwei Liang, Lu Jiang, Kevin Murphy, Ting Yu, Alexander Hauptmann

Comments CVPR 2020. Code, models and dataset are available at: https://next.cs.cmu.edu/multiverse/index.html

Listen to Look: Action Recognition by Previewing Audio

Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani

Comments Appears in CVPR 2020; Project page: http://vision.cs.utexas.edu/projects/listen_to_look/

SuperGlue: Learning Feature Matching with Graph Neural Networks

Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich

Comments Oral at CVPR 2020, with appendix and link to publicly available code

Hierarchically Robust Representation Learning

Qi Qian, Juhua Hu, Hao Li

Comments accepted by CVPR'20

Towards Learning Structure via Consensus for Face Segmentation and Parsing

Iacopo Masi, Joe Mathai, Wael AbdAlmageed

Comments To appear in the IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR 2020. Project page at https://github.com/isi-vista/structure_via_consensus

Open Compound Domain Adaptation

Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Dahua Lin, Stella X. Yu, Boqing Gong

Comments To appear in CVPR 2020 as an oral presentation. Code, datasets and models are available at: https://liuziwei7.github.io/projects/CompoundDomain.html

Probabilistic Regression for Visual Tracking

Martin Danelljan, Luc Van Gool, Radu Timofte

Comments CVPR 2020. Includes appendix

An Investigation into the Stochasticity of Batch Whitening

Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

Comments Accepted to CVPR 2020. The Code is available at https://github.com/huangleiBuaa/StochasticityBW

MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation

Chaoyang He, Haishan Ye, Li Shen, Tong Zhang

Comments This paper is published in CVPR 2020 (IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020)

Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations

Shuhao Cui, Shuhui Wang, Junbao Zhuo, Liang Li, Qingming Huang, Qi Tian

Comments Accepted to CVPR 2020 as Oral

Learning to Optimize Non-Rigid Tracking

Yang Li, Aljaž Božič, Tianwei Zhang, Yanli Ji, Tatsuya Harada, Matthias Nießner

Comments Accepted to CVPR'2020 (oral)

Extremely Dense Point Correspondences using a Learned Feature Descriptor

Xingtong Liu, Yiping Zheng, Benjamin Killeen, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath

Comments The work has been accepted for publication in CVPR 2020

Gated Channel Transformation for Visual Recognition

Zongxin Yang, Linchao Zhu, Yu Wu, Yi Yang

Comments Accepted to CVPR 2020

ZeroQ: A Novel Zero Shot Quantization Framework

Yaohui Cai, Zhewei Yao, Zhen Dong, Amir Gholami, Michael W. Mahoney, Kurt Keutzer

Comments CVPR 2020

Correspondence Networks with Adaptive Neighbourhood Consensus

Shuda Li, Kai Han, Theo W. Costain, Henry Howard-Jenkins, Victor Prisacariu

Comments CVPR 2020. Project page: https://ancnet.avlcode.org/

Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects

Kiana Ehsani, Shubham Tulsiani, Saurabh Gupta, Ali Farhadi, Abhinav Gupta

Comments CVPR 2020 -- (Oral presentation)

$Π-$nets: Deep Polynomial Neural Networks

Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Yannis Panagakis, Jiankang Deng, Stefanos Zafeiriou

Comments Accepted in CVPR 2020

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu

Comments Accepted in CVPR 2020

DeepStrip: High Resolution Boundary Refinement

Peng Zhou, Brian Price, Scott Cohen, Gregg Wilensky, Larry S. Davis

Journal ref CVPR 2020

iTAML: An Incremental Task-Agnostic Meta-learning Approach

Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah

Comments Accepted to CVPR 2020

Deep Grouping Model for Unified Perceptual Parsing

Zhiheng Li, Wenxuan Bao, Jiayang Zheng, Chenliang Xu

Comments Accepted by CVPR 2020

Journal ref CVPR 2020

G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features

Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Ales Leonardis

Comments 10 pages, 11 figures, accepted in CVPR 2020

Visual Grounding in Video for Unsupervised Word Translation

Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman

Comments CVPR 2020

Journal ref CVPR 2020

Unsupervised Learning of Intrinsic Structural Representation Points

Nenglun Chen, Lingjie Liu, Zhiming Cui, Runnan Chen, Duygu Ceylan, Changhe Tu, Wenping Wang

Comments Accepted by CVPR 2020

When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks

Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu, Dahua Lin

Comments CVPR 2020. First two authors contributed equally

StegaStamp: Invisible Hyperlinks in Physical Photographs

Matthew Tancik, Ben Mildenhall, Ren Ng

Comments CVPR 2020, Project page: http://www.matthewtancik.com/stegastamp

Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation

Sunghun Joung, Seungryong Kim, Hanjae Kim, Minsu Kim, Ig-Jae Kim, Junghyun Cho, Kwanghoon Sohn

Comments CVPR 2020