H
Hang Zhao
Researcher at Tsinghua University
Publications - 108
Citations - 19405
Hang Zhao is an academic researcher from Tsinghua University. The author has contributed to research in topics: Computer science & Artificial neural network. The author has an hindex of 32, co-authored 83 publications receiving 12696 citations. Previous affiliations of Hang Zhao include Zhejiang University & Nvidia.
Papers
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Journal ArticleDOI
Millimeter Wave Mobile Communications for 5G Cellular: It Will Work!
Theodore S. Rappaport,Shu Sun,Rimma Mayzus,Hang Zhao,Yaniv Azar,Kevin H. Wang,George N. Wong,Jocelyn K. Schulz,Mathew K. Samimi,Felix Gutierrez +9 more
TL;DR: The motivation for new mm-wave cellular systems, methodology, and hardware for measurements are presented and a variety of measurement results are offered that show 28 and 38 GHz frequencies can be used when employing steerable directional antennas at base stations and mobile devices.
Proceedings ArticleDOI
Scene Parsing through ADE20K Dataset
TL;DR: The ADE20K dataset, spanning diverse annotations of scenes, objects, parts of objects, and in some cases even parts of parts, is introduced and it is shown that the trained scene parsing networks can lead to applications such as image content removal and scene synthesis.
Journal ArticleDOI
Loss Functions for Image Restoration With Neural Networks
TL;DR: It is shown that the quality of the results improves significantly with better loss functions, even when the network architecture is left unchanged, and a novel, differentiable error function is proposed.
Posted Content
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun,Henrik Kretzschmar,Xerxes Dotiwalla,Aurelien Chouard,Vijaysai Patnaik,Paul Tsui,James Guo,Yin Zhou,Yuning Chai,Benjamin Caine,Vijay K. Vasudevan,Wei Han,Jiquan Ngiam,Hang Zhao,Aleksei Timofeev,Scott Ettinger,Maxim Krivokon,Amy Gao,Aditya Joshi,Sheng Zhao,Shuyang Cheng,Yu Zhang,Jonathon Shlens,Zhifeng Chen,Dragomir Anguelov +24 more
TL;DR: This work introduces a new large scale, high quality, diverse dataset, consisting of well synchronized and calibrated high quality LiDAR and camera data captured across a range of urban and suburban geographies, and studies the effects of dataset size and generalization across geographies on 3D detection methods.
Journal ArticleDOI
Semantic Understanding of Scenes Through the ADE20K Dataset
TL;DR: The ADE20K dataset as discussed by the authors contains 25k images of complex everyday scenes containing a variety of objects in their natural spatial context, on average there are 19.5 instances and 10.5 object classes per image.