About Me
I obtained my Ph.D. degree from the Department of Computer Science and Engineering, The Chinese University of
Hong Kong (CUHK) in 2022,
supervised by Prof. WONG, Tien-Tsin.
Before that I received my bachelor degree (Outstanding Graduates of Liaoning Province) in Computer Science and Engineering from Dalian University
of Technology (DUT) in 2018, supervised by Prof.
YANG, Xin.
My research interests lie in the intersection between Computer Graphics and Computer Vision, especially the 3D Learning.
I'm looking for research positions on3D vision and neural rendering.
News!
[05/2022]
Passed the oral defense and became a Dr.
[08/2021]
Invited talk by 智东西about ourBPNet.
[07/2021]
One paper on lighting estimation accepted to TIP'22.
[07/2021]
Two papers accepted to ICCV'21.
[07/2021]
One paper on 3D human pose estimation accepted to ACM MM'21.
[06/2021]
Invited talk atScanNet CVPR'21 Workshopabout ourBPNet.
Recording inYoutube.
[ Selected ] [Full list onGoogle Scholar]



Wenbo Hu, Hengshuang Zhao, Li Jiang, Jiaya Jia, Tien-Tsin Wong
IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2021. [Oral]   [ Project] [ Paper] [ Code ]
Top performance on ScanNet 3D/2D semantic segmentation benchmarks! [Link ]

Education

Aug. 2018 - May. 2022
 
The Chinese University of Hong Kong
 
Dept of Computer Science & Engineering
Ph.D.

Sep. 2014 - Jun. 2018
 
Dalian University of Technology
 
Dept of Computer Science and Technology
Bachelor (Rank: 3/105, GPA: 90.3/100)
Work Experience

Nov. 2021 - Present
Tencent AI Lab
Research Intern

Sep. 2020 - Nov. 2021
DAMO Academy, Alibaba Group
Research Intern

Jan. 2018 - Jul. 2018
SenseTime
Research Intern

Jul. 2016 - Sep. 2016
DJI
Summer Intern
Patents
- CN108827302A (In process), “Multi-rotor aerocraft air navigation aid based on rotor tachometric survey”.
- CN107656227B (Issued Oct. 2019), “Magnetometer calibration method based on Levenberg-Marquardt algorithm”.
- CN107655463B (Issued Oct. 2019), “Electronic compass calibration method based on simulated annealing”.
- CN207400517U (Issued May. 2018), “Intelligent toothbrush system ”.