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



Biography

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

My research interests encompass human-robot collaboration, open-set recognition, robot learning, AR-based teleoperation systems, tactile sensing, and their applications in computer vision tasks. I believe that multi-dimensional interaction with intelligent robots is the future.


News

Education Research Experiences

      Toyota Production Lab, Rochester Institute of Technology, Rochester, USA

      Research Assistant,   June. 2023 ~ March. 2025

      CDIME Lab, Rochester Institute of Technology, Rochester, USA

      Research Assistant,   August. 2022 ~ March. 2025

      Action Lab, Rochester Institute of Technology, Rochester, USA

      Research Assistant,   May. 2020 ~ Dec. 2021


Publications

Conference Papers

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

  • Paper 1 Image
  • 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.

  • Paper 2 Image
  • Multiple Instance Relational Learning for Video Anomaly Detection
    Xiwen Dengxiong, Wentao Bao, Yu Kong
    International Joint Conference on Neural Networks (IJCNN), Online, June 2021.

  • Paper 3 Image
    Teaching

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