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 Vision and Learning Representation Group, which is part of Media and Communication Lab, HUST. Here are some ongoing projects: 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.

 

Recent News

 
Nov., 2019: I will serve as an AE of PAMI.
Oct., 2019: It's cool I'll serve as a general chair of VALSE 2020, Hangzhou.
Sep., 2019: I gave a keynote talk entitled "Irregular Text Detection and Recognition" at CBDAR2019 of ICDAR19, Sydney. [ppt]
Aug, 2019: I gave a talk on "OCR in the Wild: Recent Developments, Challenges and Future Trends" for the Early Career Spotlight track at IJCAI 2019,Macao.
July, 2019: I'm the recipient of IAPR/ICDAR Young Investigator Award 2019.
July, 2019: I will serve as an area chair of CVPR 2020.
June, 2019: I will serve as a senior PC of AAAI 2020.
Jan.,2019: I received AAAI-2019 Outstanding SPC Award.
Sep., 2018: The 14th IAPR Int. Workshop on Document Analysis Systems (DAS'20) will be organized by HUST.
May, 2018: Congratulations to Dr. Song Bai and Dr. Baoguang Shi! Wish they will have a bright future.
Dec., 2017: I will serve as an area chair of ICPR 2018 and ACCV 2018.
Nov., 2017: Keynote Speech: "Deep Neural Networks for Scene Text Reading Revisited" at ICDAR 2017, Kyoto. [ppt]
Nov., 2017: ICDAR2017 Competiton on Reading Chinese Scene Text in the Wild (RCTW-17) was successfully done.
July, 2017: I was identified as a "CVPR 2017 Outstanding Reviewer".
April., 2017: The invited talk "Oriented Scene Text Detection Revisited" at VALSE 2017, Xiamen. [ppt]
Jan., 2017: I become an editorial board member of the journal "Pattern Recognition"
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

 

Liao et al. SynthText3D: Synthesizing Scene Text Images from 3D Virtual Worlds. SCIENCE CHINA Information Sciences, accepted. [code]

Z. Liu, X. Zhao, T. Huang, R. Hu, Y. Zhou, X. Bai. TANet: Robust 3D Object Detection from Point Clouds with Triple Attention. AAAI, 2020. (Oral)

M. Liao, Z. Wan, C. Yao, K. Chen, X. Bai. Real-Time Scene Text Detection with Differentiable Binarization. AAAI, 2020. (Oral) [code]

H. Wang et al. All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting. AAAI, 2020.

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 Trans. on PAMI, to appear. [code]

Z. Zhu, M. Xu, S. Bai, T. Huang, X. Bai. Asymmetric Non-local Neural Networks for Semantic Segmentation. ICCV, 2019. [code]

Z. Zhu, T. Huang, B. Shi, M. Yu, B. Wang, X. Bai. Progressive Pose Attention Transfer for Person Image Generation, CVPR, 2019. (Oral) [code]

B. Shi, M. Yang, X. Wang, P. Lyu, C. Yao, X. Bai. ASTER: An Attentional Scene Text Recognizer with Flexible Rectification. IEEE Trans. on PAMI, 41(9): 2035-2048, 2019. [code1][code2]

M. Liao, B. Shi, X. Bai. TextBoxes++: A Single-Shot Oriented Scene Text Detector. IEEE Trans. on Image Proc., 27(8): 3676-3690, 2018. [code]

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 Trans. on PAMI , 39(11): 2298-2304, 2017. [music score recognition datasets] [code1](Torch) [code2](Pytorch)

 

 

Services:

Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intellingence (2020-), China Science: Information Science (2019-), ACTA AUTOMATICA SINICA (2018-), Pattern Recognition (2017-), Patten Recognition Letters (2016-2019), Frontier of Computer Science (2015-), Neurocomputing (2015-2019)

Area Chair or Senior TPC of CVPR (19-20), AAAI (19-20), IJCAI (17-20), ICDAR 19, ICIP 17, MVA 17, ACCV 18, ICPR 18.

Guest Editor of SI: Scene Text Reading and its Applications, Pattern Recognition, 2019;

Guest Editor of Special Section on Deep Learning, Journal of Computer Science and Technology, 2017;

Guest Editor of SI: Multi-Instance Learning in Pattern Recognition and Vision, Pattern Recognition, 2017;

Guest Editor of SI: Deep Learning Applications in Computer Vision, Frontier of Computer Science, 2017;

Guest Editor of SI: Efficient Shape Representation, Matching, Ranking, and its Applications, Pattern Recognition Letters, 2016.

Program Chair of the 14th IAPR Int. Workshop on Document Anaylsis Systems (DAS'20), Wuhan.

General Chair of the 10th Vision and Learning Seminar (VALSE'20), Hangzhou.

Contest Chair of IAPR International Conference on Pattern Recognition (ICPR'18), Beijing, 2018..

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.

Co-organizer of the 1st Int. Workshop on Deep Learning for Document Analysis and Recognition (DLDAR'18), in conjunction with ICPR'18.

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

Co-organizer of the 2nd Int. Workshop on Deep Learning for Pattern Recognition (DLPR'18), in conjunction with ICPR'18.

Co-organizer of the 3rd Int.Workshop on Robust Reading (IWRR'18), in conjunction with ACCV'18.

Co-organizer of special session on Visual Semantic Learning form Big Surveillance Data (VISA), WCCI/IJCNN'16.

Co-organizer of ICDAR 2019 Competition on Scanned Receipts OCR and Information Extraction

Co-organizer of ICDAR 2019 RRC on Reading Chinese Text on Signboard

Co-organizer of ICPR 2018 Contest on Contest on Object Detection in Aerial Images (ODAI'18).

Co-organizer of ICDAR 2017 Competition on Reading Chinese Text in the wild (RCTW'17).

TPC of CVPR (08-18), ICCV (09-17), ECCV (10-18), NIPS (15-18), ICLR (18-19), ICML (18), AAAI (17-18), AISTAT (17-19), etc;

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

 

Awards and Honors

IAPR/ICDAR Young Investigator Award, 2019; AAAI Outstanding SPC Award, 2019; Most Cited Chinese Researchers, 2014-2018; National Program for Support of Top-notch Young Professionals, 2016; Program for HUST Academic Frontier Youth Team, 2016; Hongshan District Outstanding Youth, 2014; Excellent Young Scientist Foundation of NSFC 2012; New century excellent talent of Ministry of Education, 2012; Hubei Province Outstanding Doctoral Thesis, 2011; Microsoft Fellowship 2007.

 

Students

 
Xinwei He Ph.D. student
Xiaolong Liu Ph.D. student
Mingkun Yang Ph.D. student
Minghui Liao Ph.D. student (National Master Fellowship 2017)
Zhiyong Dou Ph.D. student
Zhen Zhu Master student
Tengteng Huang Master student
 

 

Former students

Song Bai Ph.D. (National PhD Fellowship 2015, 2017) Dissertation: Context-based Affinity Learning: Theory and Algorithms, defended on Feb. 3th, 2018. Now a postdoc at Oxford.

Baoguang Shi Ph.D. Dissertation: Deep Learning-Based Methods for Text Detection and Recognition in Natural Images, defended on May 24th, 2018. Now a researcher at Microsoft, Seattle.

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
Duoyou Zhou (2017) Master, HUST, now at Toutiao
Xiong Duan (2017) Master, HUST, now at Tencent
Zhichao Zhou (2018) Master, HUST, National Master Fellowship 2017, now at Baidu
Pei Xu (2018) Master, HUST, now at Tencent
Pengyuan Lv (2018) Master, HUST, National Master Fellowship 2017, now at Tencent AI
Lingyan Cui (2018) Master, HUST, now at Meituan
Yang Yang (2018) Master HUST, Now at ...
Jun Tang (2019) Master HUST, now at Alibaba
Liang Wu (2019) Master HUST, now at SOGO
Hongyun Lv (2019) Master HUST, now at ... .

Song Ding (2019) Master HUST, now at ...