Gen Li  

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Hi! I am currently a second-year PhD student at School of Informatics in the University of Edinburgh, fully funded by CDT-RAS scholarship. My supervisors are Dr. Laura Sevilla and Prof. Timothy Hospedales, and I also work closely with Dr. Varun Jampani and Dr. Deqing Sun at Google research.

Before Edinburgh, I received my Master’s degree from Sungkyunkwan University in 2020, and the Bachelor’s degree from Xidian University in 2018.

My research interests lie in few-shot learning, learning under limited supervision, and multi-modal deep learning. Currently, I am working on visual affordance and object functionality understanding.

:loudspeaker: I am actively seeking a research intern position this year! Please feel free to contact me if you have any available positions or potential collaborations.

news

Jul 24, 2023 Started as a research intern at Huawei, Noah’s Ark Lab, London!
Feb 28, 2023 Our paper “LOCATE” has been accepted to CVPR 2023!
Oct 20, 2021 Our paper “SuperstyleNet” has been accepted to BMVC 2021.
Sep 1, 2021 Joined CDT-RAS PhD at The University of Edinburgh.
May 14, 2021 One paper accepted to Pattern Recognition!
May 7, 2021 Two papers accepted to ICIP 2021.

selected publications

  1. CVPR
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    LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding
    Gen Li, Varun Jampani, Deqing Sun, and Laura Sevilla-Lara
    In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2023
  2. CVPR
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    Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
    Gen Li, Varun Jampani, Laura Sevilla-Lara, Deqing Sun, Jonghyun Kim, and Joongkyu Kim
    In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2021
  3. BMVC
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    DABNet: Depth-wise asymmetric bottleneck for real-time semantic segmentation
    Gen Li, and Joongkyu Kim
    In British Machine Vision Conference, 2019
  4. PR
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    Weakly-supervised temporal attention 3D network for human action recognition
    Jonghyun Kim, Gen Li, Inyong Yun, Cheolkon Jung, and Joongkyu Kim
    Pattern Recognition, 2021
  5. NC
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    Edge and identity preserving network for face super-resolution
    Jonghyun Kim, Gen Li, Inyong Yun, Cheolkon Jung, and Joongkyu Kim
    Neurocomputing, 2021