Xue Yang (杨学)
Ph.D. Student at ThinkLab
Department of Computer Science and Engineering
MoE Key Lab of Artificial Intelligence, AI Institute
Shanghai Jiao Tong University, Shanghai, China 200240
Email: yangxue-2019-sjtu@sjtu.edu.cn

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Biography

Xue Yang is now a Ph.D. student in Wu Honor Class, Department of Computer Science and Engineering, Shanghai Jiao Tong University starting from Autumn 2019. His research advisor is Prof. Junchi Yan.

Xue Yang received the B. E. degree from School of Information Science and Engineering, Central South University, Hunan, China, in 2016. He received the M. S. degree from School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China, in 2019.

Xue Yang's research interests include deep learning and computer vision, with a focus on generic object detection, aerial imagery detection, and scene text detection.

News
  • • 05 / 2021:   A report is made at the Magnolia Young Scholar Forum [白玉兰青年学者论坛], [slides]
  • • 05 / 2021:   One paper is accepted by ICML 2021
  • • 03 / 2021:   One paper is accepted by CVPR 2021
  • • 12 / 2020:   Two papers are accepted by AAAI 2021
  • • 10 / 2020:   A tensorflow-based rotation detection benchmark is released, also called UranusDet
  • • 07 / 2020:   One paper is accepted by ECCV 2020
  • • 09 / 2019:   I'm supported by Wu Wen Jun Honorary Doctoral Scholarship, AI Institute, Shanghai Jiao Tong University
  • • 09 / 2019:   I'm joining Department of CSE at Shanghai Jiao Tong University as a Ph.D. student
  • • 07 / 2019:   One paper is accepted by ICCV 2019
  • • 07 / 2019:   One paper is accepted by BMVC 2019
  • • 06 / 2019:   We win 1st place in WAD2019 Challenge on the D2-City & BDD100K Detection Domain Adaption track
  • • 06 / 2019:   We win 3st/4th place in DOAI2019 Challenge on the HBB/OBB track
Publications
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Xue Yang, Junchi Yan, Qi Ming, Wentao Wang, Xiaopeng Zhang, Qi Tian
In International Conference on Machine Learning (ICML2021, CCF-A), Virtual, 2021
GWD
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
Xue Yang, Liping Hou, Yue Zhou, Wentao Wang, Junchi Yan
In Proceedings of the IEEE Computer Vision and Pattern Recognition (CVPR2021, CCF-A), Virtual, 2021
Learning Modulated Loss for Rotated Object Detection
Wen Qian, Xue Yang, Silong Peng, Junchi Yan, Yue Guo
In Proceedings of the Thirty-Five AAAI Conference on Artificial Intelligence (AAAI2021, CCF-A), Vancouver, Canada (Virtual), 2021
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
Xue Yang, Junchi Yan, Ziming Feng, Tao He
In Proceedings of the Thirty-Five AAAI Conference on Artificial Intelligence (AAAI2021, CCF-A), Vancouver, Canada (Virtual), 2021
Arbitrary-Oriented Object Detection with Circular Smooth Label
Xue Yang, Junchi Yan
In Proceedings of the European Conference on Computer Vision (ECCV2020, CCF-B), Glasgow, Scotland, UK (Virtual), 2020
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects
Xue Yang, Jirui Yang, Junchi Yan, Yue Zhang, Tengfei Zhang, Zhi Guo, Sun Xian, Kun Fu
In Proceedings of the IEEE International Conference on Computer Vision (ICCV2019, CCF-A), Seoul, Korea, 2019
Rethinking Classification and Localization for Cascade R-CNN
Ang Li, Xue Yang, Chongyang Zhang
In Proceedings of the 30th British Machine Vision Conference (BMVC2019, CCF-C), Cardiff, Wales, UK, 2019
Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks
Xue Yang, Hao Sun, Kun Fu, Jirui Yang, Xian Sun, Menglong Yan, Zhi Guo
In Remote Sensing (ESI Highly Cited Papers), 2018
Preprints
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
Xue Yang, Xiaojiang Yang, Jirui Yang, Qi Ming, Wentao Wang, Qi Tian, Junchi Yan
KLD
On the Arbitrary-Oriented Object Detection: Classification based Approaches Revisited
Xue Yang, Junchi Yan, Tao He
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing
Xue Yang, Junchi Yan, Xiaokang Yang, Jin Tang, Wenlong Liao, Tao He
Optimization for Oriented Object Detection via Representation Invariance Loss
Qi Ming, Zhiqiang Zhou, Lingjuan Miao, Xue Yang, Yunpeng Dong
Projects
yangxue0827
DetectionTeamUCAS
Thinklab-SJTU
SJTU-Thinklab-Det
Academic Activities
Conference Reviewers
  •   • ACM International Conference on Multimedia (MM), 2021
  •   • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Journal Reviewers
  •   • International Journal of Computer Vision (IJCV)
  •   • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  •   • IEEE Transactions on Intelligent Transportation Systems (TITS)
  •   • IEEE Geoscience and Remote Sensing Letters (GRSL)
Education

B.E. degree from School of Information Science and Engineering, Central South University, Hunan, China
Sep. 2012 - July 2016

M.S. degree from School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China
Sep. 2016 - July 2019

Ph.D. in CV, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
Sep. 2019 - Present
Internship and Cooperation
           
Awards
  •   • Wu Wen Jun Honorary Doctoral Scholarship, 2019
  •   • 1st place in WAD2019 Challenge on the D2-City & BDD100K Detection Domain Adaption track, 2019
  •   • 3st/4th place in DOAI2019 Challenge on the HBB/OBB track, 2019
  •   • Outstanding Student Leader, Outstanding Student, 2016-2019
  •   • Outstanding Student Leader, Outstanding Student, Outstanding Graduates, National Inspirational Scholarship, 2012-2016
Demos
Copyright © Xue Yang 2020