Shuai was born in Changchun, China. He received a B.S. degree from Jilin University in 2017. Immediately following, he joined Megvii Research, and was mentored by Dr. Gang Yu and supervised by Dr. Jian Sun. His research interests lie in the field of Computer Vision and Object Detection, with particular interests in solving fundamental research problems and building real-world working systems.
Shuai has participated in programming contest since high school. He won a gold medal as the 2rd place in 2013 ACM-ICPC Asia Regional Contest and won the 19th place in 2014 ACM-ICPC World Finals. Then he was the coach of ACM-ICPC Team of Jilin University until graduation.
*indicates equal contribution.
- Enze Xie*, Yuhang Zang*, Shuai Shao, Gang Yu, Cong Yao, Guangyao Li. Scene Text Detection with Supervised Pyramid Context Network. AAAI, 2019.
- Shuai Shao*, Zijian Zhao*, Boxun Li, Tete Xiao, Gang Yu, Xiangyu Zhang, Jian Sun. CrowdHuman: A Benchmark for Detecting Human in a Crowd. arXiv:1805.00123, 2018.
- Xinlong Wang, Tete Xiao, Yuning Jiang, Shuai Shao, Jian Sun, Chunhua Shen. Repulsion Loss: Detecting Pedestrians in a Crowd. CVPR, 2018.
- Bo Li, Tianfu Wu, Shuai Shao, Lun Zhang, Rufeng Chu. Object Detection via Aspect Ratio and Context Aware Region-based Convolutional Networks. arXiv:1612.00534, 2016.
Last update: 11/23/2018 © 2018 by Shuai Shao. All Rights Reserved.