Jindong Gu
Postdoctoral Researcher, University of Oxford

I am a Postdoc at University of Oxford, working with
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
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Under Submission, 2022
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European Conference on Computer Vision (ECCV) , 2022
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SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness [PDF]European Conference on Computer Vision (ECCV) , 2022
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IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2021
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International Conference on Learning Representations (ICLR) , 2021
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