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Scientific Research
Research Field
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Published Books
Research Projects
Teaching Research
Teaching Resources
Teaching Information
Teaching Achievement
Awards and Honours
Enrollment Information
Student Information
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Bai Xiang
Professor
Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Professional Title:
Professor
Gender:
Male
Status:
Employed
Department:
School of Software Engineering
Education Level:
Postgraduate (Doctoral)
Degree:
Doctoral Degree in Engineering
Alma Mater:
18luck新利电竞
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Paper Publications
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Paper Publications
X. Liu, S. Bai, X. Bai. An empirical study of end-to-end temporal action detection.CVPR, 2022,
J. Tang et al. Few could be better than all: Feature sampling and grouping for scene text detection.CVPR,2022,
M. Xu, Z. Zhang et al. End-to-End Semi-Supervised Object Detection with Soft Teacher.ICCV, 2021,
X. Bai et al., Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence.Nature Machine Intelligence, 2021,
M. Liao, P. Lyu, M. He, C. Yao, W. Hu, X. Bai. Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes.IEEE Transactions on Patten Analysis and Machine Intelligence (PAMI), 2021,
Y. Xu, M. Fu, Q. Wang, Y. Wang, K. Chen, G. Xia, X. Bai: Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection.IEEE Transactions on Patten Analysis and Machine Intelligence (PAMI), 2021,
B. Shi, M. Yang, X. Wang, P. Lyu, C. Yao, X. Bai. ASTER: An Attentional Scene Text Recognizer with Flexible Rectification.IEEE Transactions on Patten Analysis and Machine Intelligence (PAMI), 2019,
B. Shi, X. Bai, C. Yao. An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition.IEEE Transactions on Patten Analysis and Machine Intelligence (PAMI), 2017,
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