​ Yuexin Ma 

Assistant Professor
ShanghaiTech University

Google Scholar / CV

Email:  mayuexin at shanghaitech.edu.cn

New Events

  • 2023.04: Two papers are accepted by IJCAI.
  • 2023.02: Four papers are accepted by CVPR.
  • 2023.02: Two papers are accepted by ICRA.
  • 2023.01: One paper is accepted by TVCG.
  • 2022.11: Three papers are accepted by AAAI.
  • 2022.05: A Large-scale dataset for 3D perception of crowd scenes has been released!Dataset .
  • 2022.03: One paper is accepted by SIGGRAPH.
  • 2022.03: Four papers are accepted by CVPR.
  • 2022.03: One paper is accepted by TMI.
  • 2022.03: One paper is accepted by ICME.
  • 2021.11: One paper is accepted by IJCV.
  • 2021.09: SIDE (Stereo 3D Detection) is accepted by WACV2022.
  • 2021.08: One paper is accepted by TOG.
  • 2021.07: Extended version of Cylinder3D is accepted by TPAMI.
  • 2021.06: One paper is accepted by IJCV.
  • 2021.03: Three papers are accepted by CVPR2021 (2 Orals and 1 Poster).
  • 2021.03: One paper is accepted by ICME2021.
  • 2020.11: We release the code of Cylinder3D, which achieves the 1st place in the leaderboard of SemanticKITTI Semantic segmentation. Based on Cylinder3D, we also achieve the 1st place in the leaderboard of SemanticKITTI Panoptic segmentation.
  • 2020.07: Two papers are accepted by ECCV2020.
    • I am looking for self-motivated Ph.D./MPhil. students, RAs, PostDocs, and Visiting scholars to join my group. Please drop me an email with your CV if you are interested.

    About Me

    Yuexin Ma is an Assistant Professor in SIST, ShanghaiTech University. She received the PhD degree from the University of Hong Kong in 2019. After that, she held a Research Assistant Professor position in Hong Kong Baptist University. Her research interests include computer vision, computer graphics, and autonomous driving. Particularly, her current research focuses on 3D scene understanding, 3D detection and segmentation, behavior and trajectory prediction, etc. Her work has been published on several top journals and conferences, including Science Robotics, TPAMI, CVPR, ECCV, AAAI, IJCAI, IJCV, TOG, Siggraph, AAMAS, MICCAI, etc.

    Research Experience

  • Robotic and Autonomous Driving Lab (RAL) of Baidu
    04.2018 - 12.2018
  • The University of North Carolina at Chapel Hill (UNC)
    09.2017 - 02.2018
  • French Institute for Research in Computer Science and Automation (INRIA)
    06.2016 - 08.2016
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    Honors & Awards

  • Outstanding Individual of Baidu RAL, 2018
  • Best Tutor of the University of Hong Kong, 2016
  • Hong Kong PhD Fellowship Award (HKPFS), 2015
  • Presidential Scholarship of Shandong University, 2015
  • Google Merit Scholarship, 2015
  • CCF (China Computer Federation) Top 100 Outstanding Undergraduates of China, 2013
  • National Scholarship of China, 2013, 2014
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