Xiwen Dengxiong

Xiwen Dengxiong 邓熊希文

Golisano College of Computing and Information Sciences
Rochester Institute of Technology

ROOM 1070
74 Lomb Memorial Drive, Rochster, NY, USA 14623

Email: dengxiongxiwen@gmail.com


I am a third-year PhD student at Department of Computing & Information Sciences, Rochester Institute of Technology, USA advised by Dr. Yunbo Zhang. Before that I received my master degree in the Department of Computer Science, Rochester Institute of Technology, USA, in August. 2021 (Advisor: Dr. Yu Kong) and B.E degree from School of Science, Qingdao University of Technology, China, in Jul. 2019.

My research interest broadly includes open set recognition, robot Learning, AR teleoperation systems for robots, and their applications related to computer vision tasks.

  • 03/2024: I received ICRA 2024 travel awards. Thanks to ICRA 2024.
  • 10/2023: One paper is accepted to ICRA 2024. [Video] Code to be released, please stay tuned
  • 10/2022: One paper is accepted to WACV 2023.
  • 08/2022: I join C-DIME lab supervised by Dr. Yunbo Zhang.
  • 06/2022: I am serving as reviewer for ACM MM 2022.
  • 05/2020: I start to pursue my Ph.D. degree at RIT.
  • 06/2021: I am serving as reviewer for ACM MM 2021.
  • 06/2021: One paper is accepted to IJCNN 2021.
  • 06/2020: I join the Actionlab as a student researcher.

Education Research Experiences

      Action Lab, Rochester Institute of Technology, Rochester, USA

      Research Assistant,   May. 2020 ~ Dec. 2021


    Conference Papers

  1. Self-supervised 6-DoF Robot Grasping by Demonstration via Augmented Reality Teleoperation System [Video]
    Xiwen Dengxiong, Xueting Wang, Shi Bai, Yunbo Zhang
    IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japaan, May 2024.

  2. Ancestor Search: Generalized Open Set Recognition via Hyperbolic Side Information Learning
    Xiwen Dengxiong, Yu Kong
    Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, January 2023.

  3. Multiple Instance Relational Learning for Video Anomaly Detection
    Xiwen Dengxiong, Wentao Bao, Yu Kong
    International Joint Conference on Neural Networks (IJCNN), Online, June 2021.


Created on 2020/06/22. Last update : 2022/04/01