Dr. Xiang Bai, Professor Email: xbai(at)hust(dot)edu(dot)cn; xiang.bai(at)gmail(dot)com

【中文主页】

About me

I am a professor at the Department of Electronics and Information Engineering, Huazhong University of Science and Technology (HUST). I received my Ph.D. in Communication and Information Engineering, HUST. My research interests focus on Computer Vision, Pattern Recognition, and Deep Learning. I lead the Visual Computing group, which is part of Media and Communication Lab (MC lab), HUST. Here are some ongoing projects:
  • Shape Representation, 2D\3D Shape matching and Retrieval
  • Scene Text Detection and Recognition A brief survey , Slice
  • Object Detection and Image Classification, Contour Detection\Grouping
Opening Positions: (1) I am currently recruiting self-motivated and dedicated Ph.D./M.S. students with solid background in mathematics, programming, or writtern English etc. Please feel free to contact me if you are interested. (2) I plan to host a selected number of PostDocs with strong research background. (3) Looking for fresh faculty members to join our group, please contact me at least half a year ahead of your arriving.

 

Call for participants: ICDAR2017 Competiton on Reading Chinese Scene Text in the Wild (RCTW-17)

Recent News

Feb., 2017: Four papers accepted by CVPR 2017.
Jan., 2017: I become an editorial board member of the journal "Pattern Recognition"
Nov., 2016: Three papers accepted by AAAI 2017! Congratulations to Song, Minghui and Baoguang!
June, 2016: Baoguang got the support from CSC for visiting Cornell University. Congratulations!
March, 2016: We achieved the first place in Shrec2016 competition: Large-Scale 3D Shape Retrieval under the perturbed case.
 

Selected Recent Publications

NEW B. Shi, X. Bai, S. Belongie. Detecting Oriented Text in Natural Images by Linking Segments. IEEE CVPR, 2017.

NEW S. Bai, X. Bai, Q. Tian. Scalable Person Re-Identification on Supervised Smoothed Manifold. IEEE CVPR, 2017.

NEW 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 Pattern Analysis and Machine Intelligence, accepted. [code][music score recognition datasets]

NEW M. Liao, B. Shi, X. Bai, X. Wang, W. Liu. TextBoxes: A Fast Text Detector with a Single Deep Neural Network. The 31st AAAI Conference on Artificial Intelligence (AAAI), San Francisco, California, 2017. [code]

Z. Zhang, C. Zhang, W. Shen, C. Yao, W. Liu, X. Bai. Multi-oriented text detection with fully convolutional networks. The 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, 2016. [code]

S. Bai, X. Bai, Z. Zhou, Z. Zhang, Q. Tian, L.J.Latecki. GIFT: Towards scalable 3D shape retrievalIEEE Trans. on Multimedia, accepted. 

G. Xia, et al. AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification. IEEE Trans. on Geoscience Remote Sensing, accepted . [Project Page]

X. Wang, Y. Yan, P. Tang, X. Bai, W. Liu. Revisiting Multiple Instance Neural Networks. arXiv:1610.02501 

P. Tang, X. Wang, B. Shi, X. Bai, W. Liu, Z. Tu. Deep FisherNet for Object Classification. arXiv:1608.00182 [pdf], 2016.

C. Yao, X. Bai, N. Sang, X. Zhou, S. Zhou, Z. Cao. Scene Text Detection Via Holistic, Multi-Channel Prediction. arXiv:1606.09002, 2016.

Y. Zhou, X. Bai, W. Liu, L.J. Latecki. Similarity Fusion for Visual Tracking, Int. Journal of Computer Vision (IJCV), 118 (3), 337-363, 2016.

X. Bai, C. Yao, W. Liu. Strokelets: A Learned Multi-Scale Mid-Level Representation for Scene Text Recognition. IEEE Transations on Image Proc., 25(6),2789-2802, 2016.[code][readme]

S. Bai, X. Bai. Sparse Contextual Activation for Efficient Visual Re-ranking, IEEE Trans. on Image Processing, 25(3): 1056-1069, 2016.[code]

 

Services:

Associate Editor of Pattern Recognition (2017-), Patten Recognition Letters (2016-), Frontier of Computer Science, Neurocomputing (2015-)

Guest Editor of journal special isssue: (1) Special Section on Deep Learning, Journal of Computer Science and Technology, 2017; (2) Multi-Instance Learning in Pattern Recognition and Vision, Pattern Recognition, 2017; (3) Deep Learning Applications in Computer Vision, Frontier of Computer Science, 2017; (4) Efficient Shape Representation, Matching, Ranking, and its Applications, Pattern Recognition Letters, 2016.

General Chair of the 6th Vision and Learning Seminar (VALSE'16), Wuhan.

Program Chair of the 1st IEEE SPS Signal and Data Science Forum (SIDAS'16), Wuhan.

Organizing Chair of the 1st Int. Workshop on Deep Learning for Pattern Recognition (DLPR'16), in conjunction with ICPR'16.

Organizaing Chair of Special Session on Visual Semantic Learning form Big Surveillance Data (VISA), WCCI/IJCNN'16.

TPC of CVPR(08-17), ICCV(09-17), ECCV(10-16), NIPS (15-16), AAAI (17), AISTAT(17), BMVC (16-17), etc;

Senior TPC of IJCAI 17.

Area Chair of ICIP 17.

Competition Chair of ICPR 18.

Reviewers of more than 40 int. journals including TPAMI, IJCV, TIP, Pattern Recognition, TNNLS, TMM, TCYB, TIE, TIST, TVCG, IVC, CVIU, PRL, SPL, IJDAR, IJPRAI, etc.

 

Awards and Honors

Most Cited Chinese Researchers, 2014-2016

Hongshan District Outstanding Youth, 2014
Excellent Young Scientist Foundation of NSFC 2012
New century excellent talent of Ministry of Education, 2012
National Excellent Doctoral Dissertation nomination, 2012
Hubei Province Outstanding Doctoral Thesis, 2011
Microsoft Fellowship 2007

 

Students

Baoguang Shi Ph.D. student
Song Bai Ph.D. student (National PhD Fellowship 2015)
Xinwei He Ph.D. student
Xiaolong Liu Ph.D. student
Pengyuan Lv Master student
Zhichao Zhou Master student
Duoyou Zhou Master student
Yang Yang Master student
Mingkun Yang Master student
Minghui Liao Master student
Jieru Mei Undergraduate student
 
Former students
Bo Wang, (2010) Hubei Province Excellent Undergradute Graduation thesis, now at Stanford University.
Tianyang Ma, (2010) Undergradute Student, HUST; Ph.D. Temple Univerisity; Now at Amazon Company.
Wei Shen (2013), Ph.D. HUST, Tencent Fellowship, co-supervised with Prof. Hongyuan Wang, now a faculty member of Shanghai University
Xinggang Wang (2014), Ph.D. HUST, Microsoft Fellowship 2012, National PhD Fellowship, co-supervised with Prof. Wenyu Liu, Ass. Prof. of HUST
Cong Yao (2014), Ph.D. HUST,National PhD Fellowship, co-supervised with Prof. Wenyu Liu, now at Megvil.
Yu Zhou (2014), Ph.D. HUST, co-supervised with Prof. Wenyu Liu, now a faculty member of Beijing University of Post and Telecommunications
Junwei Wang, Ph.D (2012), HUST co-supervised with Prof. Wenyu Liu, now at 709 Institute, Wuhan
Chunyuan Li (2011), Undergradute Student, HUST; Now at Duke University
Chen Shen (2013) , Master HUST, now at Temple University
Cong Rao (2014) , Master HUST, National Master Fellowship, now at Temple University.
Weichao Qiu (2014) , Master HUST, now at University of California, Los Angeles (UCLA)
Yan Wang,(2011) Hubei Province Excellent Undergradute Graduation thesi, now at NTU
Quanming Yao (2013), Hubei Province Excellent Undergradute Graduation thesis, now at HKUST
Yueming Wang (2014), Master HUST, National Master Fellowship, now at Taobao Company, Hangzhou
Yi Xiong (2014), Master HUST, now at Tencent Company, Shenzhen
Changtao Wang (2013), Master HUST, worked in Baidu Company, Beijing
Chao Cai (2013), Master HUST, now at Zhongyuan Electronic Information Corporation, Wuhan
Le He (2015) Master HUST; now at Toutiao
Tingwu Hou (2015) Master HUST; now at Huawei
Xu Min (2014), Undergradute student, HUST; Now at Tsinghua University
Yajun Gao (2011), Undergadute student, HUST; Georgio Insititute of Technology, Master. Now at Amazon
Zhuotun Zhu (2015) Undergradute student, HUST, Young Microsoft Fellowship; Now at University of California, Los Angeles (UCLA)
Zheng Zhang (2016), Master, HUST, National Master Fellowship 2015, Now at Microsoft, Suzhou.
Chengquan Zhang (2016), Master, HUST, Now at Baidu, Shenzhen.
Hongyang Wang (2016) Undergradute student, HUST. Now at Carnegie Mellon University (CMU)
Pan Chen (2016) Ph.D., HUST, co-supervised with Prof. Wenyu Liu. Now a faculty member in Chinese University of Geosciences