Hongkai Zhang (张弘楷)
Master Student |
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Biography
I am a master student from Institute of Computing Technology, Chinese Academy of Sciences under the supervision of Prof. Hong Chang. My research work centered around the task of object detection such as general detection and human detection. Before that, I obtained my bachelor degree from the Department of Computer Science, Xidian University.
Education
- Institute of Computing Technology, Chinese Academy of Sciences
- August 2017 - July 2020
- Master in Computer Science and Technology
- Xidian University
- August 2013 - July 2017
- Bachelor in Computer Science and Technology
- GPA 3.8, Rank 1/40 in Computer Vision
Publications
- Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training
- Hongkai Zhang, Hong Chang, Bingpeng Ma, Naiyan Wang, Xilin Chen
- European Conference on Computer Vision (ECCV), 2020.
- [arXiv] [Code] [Video] [Slides] [ChinaNews]
- Appearance-Preserving 3D Convolution for Video-based Person Re-identification
- Xinqian Gu, Hong Chang, Bingpeng Ma, Hongkai Zhang, Xilin Chen
- European Conference on Computer Vision (ECCV), 2020 (Oral).
- [arXiv] [Code]
- 1st Place Solutions of Waymo Open Dataset Challenge 2020--2D Object Detection Track
- Zehao Huang, Zehui Chen, Qiaofei Li, Hongkai Zhang, Naiyan Wang
- Tech report, arXiv, 2020. Winner of 2D Object Detection Track.
- [arXiv]
- Double Anchor R-CNN for Human Detection in a Crowd
- Kevin Zhang, Feng Xiong, Peize Sun, Li Hu, Boxun Li, Gang Yu
- Tech report, arXiv, 2019.
- [arXiv]
- Cascade RetinaNet: Maintaining Consistency for Single-Stage Object Detection
- Hongkai Zhang, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen
- British Machine Vision Conference (BMVC), 2019.
- [arXiv] [BMVC version] [Poster]
- WIDER Face and Pedestrian Challenge 2018: Methods and Results
- Chen Change Loy, et al.
- Tech report, arXiv, 2019. Winner of Pedestrian Detection Track.
- [arXiv] [Poster] [Slides]
Experience
- Megvii (Face++), Beijing, China
- Research Intern, March 2018 - April 2019
- Work with Gang Yu and Boxun Li
- Topic: Object Detection, Human Detection
- TuSimple, Beijing, China
- Algorithm Intern, June 2017 - August 2018
- Work with Naiyan Wang
- Topic: Object Detection
Awards
No.1 of Waymo Open Dataset Challenge 2020 on the 2D Detection track, CVPR2020
No.1 of WIDER Face and Person Challenge 2019 on the pedestrian detection track, ICCV2019
Outstanding Individual Award, Institute of Digital Media (NELVT), Peking University, 2019
No.1 of WIDER Face and Pedestrian Challenge 2018 on the pedestrian detection track, ECCV2018
First-class Academic Scholarship, University of Chinese Academy of Sciences, 2018 & 2019
Excellent Graduate, Xidian University, 2017
National Scholarship, Ministry of Education of P.R. China, 2016
First-class Scholarship, Xidian University, 2015