DEYI
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Deyi Ji

I am a senior researcher at Alibaba DAMO Academy and Alibaba Cloud Computing Ltd., where I works with Prof. Jieping Ye and Xian-Sheng Hua on deep learning and computer vision. I now also study for a Doctor's degree at University of Science and Technology of China, by the “Doctoral Program for Future Technology Leading Talents in National Key Fields”, co-advised by Prof. Feng Zhao and Prof. Feng Wu. Before that, I worked as a researcher at SenseTime with Wei Wu and Junjie Yan, in Prof. Xiaogang Wang's team. I received my Master's degree of Computer Science in Shanghai Jiao Tong University, where I was advised by Prof. Hongtao Lu, and Bachelor's degree in Huazhong University of Science and Technology co-advised by Prof. Yu Liu and Xinggang Wang.

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News

  • 04/2023, 1 paper has been accepted by IJCAI2023.

  • 03/2023, 1 paper has been accepted by CVPR2023.

  • 03/2022, 1 paper has been accepted by CVPR2022.

  • 07/2021, 1 journal paper has been accepted by TNNLS 2021.

  • 07/2021, 1 journal paper has been accepted by TIP 2021.

  • 03/2021, 1 paper has been accepted by CVPR 2021.

  • 12/2020, 1 paper has been accepted by AAAI 2021.

  • 07/2020, 1 paper has been accepted by ECCV 2020.

  • 04/2018, Second Place at NVDIA AI CITY Challenge and 1 paper has been accepted CVPR 2018 Workshop Oral.

    • Research

    I'm interested in Scene Understanding, Semantic Segmentation, Target Re-identification, Knowledge Distillation, etc. (* equal contribution, ^ students mentored by me.)

    Conference Papers:

    1. Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation
      Deyi Ji, Feng Zhao, Hongtao Lu
      IJCAI 2023

    2. Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark
      Deyi Ji, Feng Zhao, Hongtao Lu, Mingyuan Tao, Jieping Ye
      CVPR 2023

    3. Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation
      Deyi Ji, Haoran Wang, Mingyuan Tao, Jianqiang Huang, Xian-Sheng Hua, Hongtao Lu
      CVPR 2022

    4. Learning Statistical Texture for Semantic Segmentation
      Lanyu Zhu*^, Deyi Ji*, Shiping Zhu, Weihao Gan, Wei Wu, Junjie Yan
      CVPR 2021 | paper | code

    5. Context-Aware Graph Convolution Network for Target Re-identification
      Deyi Ji, Haoran Wang, Hanzhe Hu, Weihao Gan, Wei Wu, Junjie Yan
      AAAI 2021 | paper

    6. Class-wise dynamic graph convolution for semantic segmentation
      Hanzhe Hu^, Deyi Ji, Weihao Gan, Shuai Bai, Wei Wu, Junjie Yan
      ECCV 2020 | paper

    7. Challenges on large scale surveillance video analysis
      Weitao Feng, Deyi Ji, Yiru Wang, Shuorong Chang, Hansheng Ren, Weihao Gan
      CVPR Workshop 2018 | paper | Oral Presentation

    Journal Papers:

    1. Learning Social Spatio-Temporal Relation Graph in the Wild and a Video Benchmark
      Haoran Wang^, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu, Deyi Ji, Weihao Gan
      IEEE TIP 2021

    2. IPGN: Interactiveness Proposal Graph Network for Human-Object Interaction Detection
      Haoran Wang^, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu, Deyi Ji, Weihao Gan
      IEEE TNNLS 2021

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