Jindong Gu

Postdoctoral Researcher, University of Oxford

I am a Postdoc at University of Oxford, working with Prof. Philip H. S. Torr. Prior to that, I received my Ph.D. Degree from University of Munich in 2022, advised by Prof. Volker Tresp.
My research goal is to build Reliable AI by making AI models explainable, robust, and efficient. Especially, I am interested in robust vision models, vision-language models, and generative vision models.


News

  • 07 / 2023:   Three papers on VLM Understanding and Robustness have been accepted to ICCV 2023.
  • 05 / 2023:   Selected as CVPR 2023 Outstanding Reviewer.
  • 05 / 2023:   One paper has been accepted to ACL Findings 2023.
  • 02 / 2023:   One paper has been accepted to CVPR 2023.
  • 11 / 2022:   I join Torr Vision Group as Postdoctoral Researcher at University of Oxford.
  • 08 / 2022:   I join Google Responsible ML Team as a Research Intern.
  • 07 / 2022:   Four papers on Robustness of Vision Systems have been accepted to ECCV 2022.
  • 04 / 2021:   I join Microsoft Research Asia as a Research Intern.
  • 03 / 2021:   One paper has been accepted as oral to CVPR 2021.
  • 01 / 2021:   One paper has been accepted to ICLR 2021.

Experience

  • 11 / 2022 - present:   Postdoctoral Researcher at University of Oxford, Oxford, UK
  • 08 / 2022 - 11 / 2022:   Research Intern at Google, New York, USA
  • 04 / 2021 - 02 / 2022:   Research Intern at Microsoft Research Asia, Beijing, China
  • 08 / 2020 - 03 / 2021:   Research Intern at Tencent AI Lab, Shenzhen, China
  • 09 / 2017 - 08 / 2020:   Doctoral Researcher at Siemens Technology, Munich, Germany

Selected Publications

Full Publication List

    • A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models [PDF][CODE]
      Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr
      Under Submission, 2022
    • Are Vision Transformers robust to Patch-wise Perturbation? [PDF][CODE]
      Jindong Gu, Volker Tresp, Yao Qin
      European Conference on Computer Vision (ECCV) , 2022
    • SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness [PDF]
      Jindong Gu, Hengshuang Zhao, Volker Tresp, Phillip Torr
      European Conference on Computer Vision (ECCV) , 2022
    • Capsule Network is Not More Robust than Convolutional Network [PDF][cn Blog]
      Jindong Gu, Volker Tresp, Han Hu
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2021
    • Effective and Efficient Vote Attack on Capsule Networks [PDF][CODE]
      Jindong Gu, Baoyuan Wu, Volker Tresp
      International Conference on Learning Representations (ICLR) , 2021
Great Honor to be in this Academic Family Tree [PDF] and [Link], which includes three Nobel prize winners!