Jian Ding

Wuhan University

Email: jian.ding@whu.edu.cn

Google Scholar | Github

I'm a Ph.D. student (2020-) of LIESMARS at Wuhan University, supervised by Prof. Gui-Song Xia in CAPTAIN Group. Recently, I am conducting research at CVML group of Max Planck Institute for Informatics advised by Prof. Dengxin Dai. I have published several works on object detection, visual representation learning and remote sensing. Recently, my interest focuses on the generalization of segmentation models to unseen classes and domains.

Recent News

  • 2022-03-26 The work on self-supervised pre-training for object detection is accepted by IEEE TPAMI.
  • 2022-03-02 Two papers for zero-shot semantic segmentation and open-set object detection are accepted by CVPR 2022.
  • 2021-09-30 The work on DOTA is accepted by IEEE TPAMI.
  • 2021-07 One paper is accepted by ICCV 2021.
  • 2021-02 One paper is accepted by CVPR 2021.
  • 2020-11 I will serve as reviewer for CVPR 2021.
  • 2020-09 We release the code of Align Deep Features for Oriented Object Detection.
  • 2020-02 We release the code of new benchmarks for aerial object detection.
  • 2019-03 I co-organize the 1st Workshop on Detecting Objects in Aerial Images in conjunction with IEEE CVPR 2019.
  • Publications

    (* Equal Contribution)
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    Expanding Low-Density Latent Regions for Open-Set Object Detection. [PDF] [Code]

    Jiaming Han, Yuqiang Ren, Jian Ding, Ke Yan, Gui-Song Xia.

    CVPR, 2022.

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    Decoupling Zero-Shot Semantic Segmentation. [PDF] [Code]

    Jian Ding, Nan Xue, Gui-Song Xia, Dengxin Dai.

    CVPR, 2022.

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    DOTA: A Large-scale Dataset for Object Detection in Aerial Images. [PDF] [Project Page]

    Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang.

    CVPR, 2018.

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    Learning RoI Transformer for Detecting Oriented Objects in Aerial Images. [PDF] [Pytorch Code] [MxNet Code]

    Jian Ding, Nan Xue, Yang Long, Gui-Song Xia, Qikai Lu.

    CVPR, 2019.

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    Mask obb: A semantic attention-based mask oriented bounding box representation for multi-category object detection in aerial images. [PDF]

    Jinwang Wang*, Jian Ding*, Haowen Guo, Wensheng Cheng, Ting Pan, Wen Yang.

    Remote Sensing, 2019.

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    Align Deep Features for Oriented Object Detection. [PDF] [Code]

    Jiaming Han*, Jian Ding*, Jie Li, Gui-Song Xia.

    TGRS, 2020.

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    ReDet: A Rotation-equivariant Detector for Aerial Object Detection. [PDF] [Code]

    Jiaming Han*, Jian Ding*, Nan Xue, Gui-Song Xia.

    CVPR, 2021.

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    Deeply Unsupervised Patch Re-identification for Pre-training Object Detectors. [PDF]

    Jian Ding*, Enze Xie*, Hang Xu, Chenhan Jiang, Zhenguo Li, Ping Luo, Gui-Song Xia.

    PAMI, early access.

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    DetCo: Unsupervised Contrastive Learning for Object Detection. [PDF] [Code]

    Enze Xie*, Jian Ding*, Wenhai Wang, Xiaohang Zhan, Hang Xu, Zhenguo Li, Ping Luo.

    ICCV, 2021.

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    Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges. [PDF] [Code]

    Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Micheal Ying Yang, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang.

    PAMI, early access.



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