Author

HJ Shao

ByteDance AI-Lab - Cited by 2,100 - Computer Vision - Multimodal

Biography

Dr. Shuai Shao received the B.S. degree from Zhejiang University, China, in 2010, and the Ph.D. degree in electrical and electronic engineering from the University of Nottingham, U.K., in 2015. In 2015, he joined the College of Electrical Engineering, Zhejiang University, as a Lecturer. He was promoted as an associate professor in Jan. 2020. His research interests include solid-state transformers, bidirectional dc-dc converters, and fault detection in power converters. He has published more than 30 peer-reviewed technical papers. He serves as a Guest Associated Editor of Journal of Emerging and Selected Topics in Power Electronics.
Title
Cited by
Year
Shape robust text detection with progressive scale expansion network
W Wang, E Xie, X Li, W Hou, T Lu, G Yu, S ShaoProceedings of the IEEE Conference on Computer Vision and Pattern …, 2019201
514
2019
Crowdhuman: A benchmark for detecting human in a crowd
S Shao, Z Zhao, B Li, T Xiao, G Yu, X Zhang, J SunarXiv preprint arXiv:1805.00123, 2018201
500
2018
Repulsion loss: Detecting pedestrians in a crowd
X Wang, T Xiao, Y Jiang, S Shao, J Sun, C ShenProceedings of the IEEE conference on computer vision and pattern …, 2018201
486
2018
Objects365: A large-scale, high-quality dataset for object detection
S Shao, Z Li, T Zhang, C Peng, G Yu, X Zhang, J Li, J SunProceedings of the IEEE/CVF international conference on computer vision …, 2019201
335
2019
Scene text detection with supervised pyramid context network
E Xie, Y Zang, S Shao, G Yu, C Yao, G LiProceedings of the AAAI conference on artificial intelligence 33 (01), 9038-9045, 2019201
205
2019
Wider face and pedestrian challenge 2018: Methods and results
CC Loy, D Lin, W Ouyang, Y Xiong, S Yang, Q Huang, D Zhou, W Xia, ...arXiv preprint arXiv:1902.06854, 2019201
37
2019
Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks
B Li, T Wu, S Shao, L Zhang, R ChuarXiv preprint arXiv:1612.00534, 201613201
13
2016
Birds of a feather flock together: Category-divergence guidance for domain adaptive segmentation
B Yuan, D Zhao, S Shao, Z Yuan, C WangIEEE Transactions on Image Processing 31, 2878-2892, 2022202
6
2022
Chatbridge: Bridging modalities with large language model as a language catalyst
Z Zhao, L Guo, T Yue, S Chen, S Shao, X Zhu, Z Yuan, J LiuarXiv preprint arXiv:305.16103, 030
2
2023
MAMO: Masked multimodal modeling for fine-grained vision-language representation learning
Z Zhao, L Guo, X He, S Shao, Z Yuan, J LiuarXiv preprint arXiv:10.04183, 0
2
2022

Referred From: https://scholar.google.com/citations?user=uL9iyKgAAAAJ&hl=en

Cited by
Citations 2100
h-index 7
i10-index 7
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