Hang Zhao

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Waymo

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My research interests include computer vision/photography, cross modal machine learning and autonomous driving.

Papers37 papers

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VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

Gao Jiyang, Sun Chen,Zhao Hang,Shen Yi,Anguelov Dragomir,Li Congcong,Schmid Cordelia

CVPR, pp.11522-11530, (2020)

EIBibtex

UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging

Chu Zhou,Hang Zhao,Jin Han,Chang Xu,Chao Xu,Tiejun Huang,Boxin Shi

NIPS 2020, (2020)

EIBibtex

Online 3D Bin Packing with Constrained Deep Reinforcement Learning

Hang Zhao, Qijin She,Chenyang Zhu,Yin Yang, Kai Xu

Bibtex

AlignNet: A Unifying Approach to Audio-Visual Alignment

Wang Jianren, Fang Zhaoyuan,Zhao Hang

WACV, pp.3298-3306, (2020)

EIBibtex

Music Gesture for Visual Sound Separation

Chuang Gan, Deng Huang,Hang Zhao,Joshua B. Tenenbaum,Antonio Torralba

CVPR, pp.10475-10484, (2020)

EIBibtex

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Pei Sun,Henrik Kretzschmar,Xerxes Dotiwalla,Aurélien Chouard,Vijaysai Patnaik,Paul Tsui,James Guo,Yin Zhou,Yuning Chai,Benjamin Caine,Vijay Vasudevan, Wei Han

CVPR, pp.2443-2451, (2020)

Cited by34EIBibtex

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

Bibtex

Visual and auditory scene parsing

Hang Zhao

(2019)

Bibtex

Scalability in Perception for Autonomous Driving: An Open Dataset Benchmark

Sun Pei,Kretzschmar Henrik, Dotiwalla Xerxes, Chouard Aurelien, Patnaik Vijaysai, Tsui Paul, Guo James,Zhou Yin,Chai Yuning,Caine Benjamin,Vasudevan Vijay, Han Wei

Bibtex

The Sound of Motions

Hang Zhao,Chuang Gan,Wei-Chiu Ma,Antonio Torralba

ICCV, pp.1735-1744, (2019)

Cited by18EIBibtex

HACS - Human Action Clips and Segments Dataset for Recognition and Temporal Localization

Hang Zhao,Antonio Torralba,Lorenzo Torresani,Zhicheng Yan

ICCV, pp.8667-8677, (2019)

Cited by19EIBibtex

Through-Wall Human Mesh Recovery Using Radio Signals

Mingmin Zhao, Yingcheng Liu, Aniruddh Raghu,Tianhong Li,Hang Zhao,Antonio Torralba,Dina Katabi

pp.10113-10122 (2019)

Cited by5Bibtex

Self-Supervised Moving Vehicle Tracking With Stereo Sound

Chuang Gan,Hang Zhao, Peihao Chen, David Cox,Antonio Torralba

2989980422, pp.7053-7062, (2019)

Cited by31Bibtex

The Sound of Motions

Hang Zhao,Chuang Gan,Wei-Chiu Ma,Antonio Torralba

International Conference on Computer Vision, (2019): 1735-1744

Cited by18EIBibtex

Self-Supervised Audio-Visual Co-Segmentation

Andrew Rouditchenko,Hang Zhao,Chuang Gan,Josh H. McDermott,Antonio Torralba

ICASSP, (2019): 2357-2361

Cited by15EIBibtex

The Sound of Pixels

Hang Zhao,Chuang Gan, Andrew Rouditchenko,Carl Vondrick,Josh H. McDermott,Antonio Torralba

ECCV, (2018): 587-604

Cited by109EIBibtex

Semantic Understanding of Scenes through the ADE20K Dataset

Bolei Zhou,Hang Zhao, Xavier Puig,Sanja Fidler,Adela Barriuso,Antonio Torralba

International Journal of Computer Vision, (2018)

Cited by303EIBibtex

RF-based 3D skeletons

Mingmin Zhao,Yonglong Tian,Hang Zhao, Mohammad Abu Alsheikh,Tianhong Li,Rumen Hristov,Zachary Kabelac,Dina Katabi,Antonio Torralba

SIGCOMM, pp.267-281, (2018)

Cited by50EIBibtex

Through-Wall Human Pose Estimation Using Radio Signals

Mingmin Zhao,Tianhong Li,Mohammad Abu Alsheikh,Yonglong Tian,Hang Zhao,Antonio Torralba,Dina Katabi

CVPR, pp.7356-7365, (2018)

Cited by119EIBibtex

SLAC: A Sparsely Labeled Dataset for Action Classification and Localization

Hang Zhao, Zhicheng Yan,Heng Wang,Lorenzo Torresani,Antonio Torralba

arXiv: Computer Vision and Pattern Recognition, (2017)

Cited by18EIBibtex

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Papers37 papers

Hang Zhao