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Jian Ding

Postdoctoral Researcher
KAUST
jianding101@gmail.com


About Me

I’m a postdoc researcher at King Abdullah University of Science and Technology (KAUST ), working with Prof. Mohamed Elhoseiny at Vision-CAIR. I obtained Ph.D. degree from Wuhan University, supervised by Prof. Gui-Song Xia in CAPTAIN Group. I was a visiting scholar at CVML group of Max Planck Institute for Informatics advised by Dr. Dengxin Dai. My current research interests includes vision-language models and embodied AI.

Publications

  1. InfiniBench: A Comprehensive Benchmark for Large Multimodal Models in Very Long Video Understanding
    Kirolos Ataallah, Chenhui Gou, Eslam Abdelrahman, Khushbu Pahwa, Jian Ding, Mohamed Elhoseiny
    Arxiv, 2024
    PDF Project Page

  2. MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens
    Kirolos Ataallah, Xiaoqian Shen, Eslam Abdelrahman, Essam Sleiman, Deyao Zhu, Jian Ding, Mohamed Elhoseiny
    Arxiv, 2024.
    PDF Project Page

  3. FreePoint: Unsupervised Point Cloud Instance Segmentation
    Zhikai Zhang, Jian Ding, Li Jiang, Dengxin Dai, Gui-Song Xia
    CVPR, 2024.
    PDF

  4. Uni3DL: Unified Model for 3D and Language Understanding
    Xiang Li*, Jian Ding*, Zhaoyang Chen, Mohamed Elhoseiny
    ECCV, 2024.
    PDF Project Page

  5. Prompting Segmentation with Sound is Generalizable Audio-Visual Source Localizer
    Yaoting Wang, Weisong Liu, Guangyao Li, Jian Ding, Di Hu, Xi Li
    AAAI, 2024.
    PDF

  6. HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation
    Jian Ding, Nan Xue, Gui-Song Xia, Bernt Schiele, Dengxin Dai
    CVPR, 2023.
    PDF Code

  7. Few-Shot Object Detection via Variational Feature Aggregation
    Jiaming Han, Yuqiang Ren, Jian Ding, Ke Yan, Gui-Song Xia
    AAAI, 2023.
    PDF Code

  8. Decoupling Zero-Shot Semantic Segmentation
    Jian Ding, Nan Xue, Gui-Song Xia, Dengxin Dai
    CVPR, 2022.
    PDF Code

  9. Expanding Low-Density Latent Regions for Open-Set Object Detection
    Jiaming Han, Yuqiang Ren, Jian Ding, Ke Yan, Gui-Song Xia
    CVPR, 2022.
    PDF Code

  10. Deeply Unsupervised Patch Re-identification for Pre-training Object Detectors
    Jian Ding*, Enze Xie*, Hang Xu, Chenhan Jiang, Zhenguo Li, Ping Luo, Gui-Song Xia
    TPAMI, 2022.
    PDF

  11. Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
    Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Micheal Ying Yang, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang
    TPAMI, 2021.
    PDF Code Project Page

  12. DetCo: Unsupervised Contrastive Learning for Object Detection
    Enze Xie*, Jian Ding*, Wenhai Wang, Xiaohang Zhan, Hang Xu, Zhenguo Li, Ping Luo
    ICCV, 2021.
    PDF Code

  13. ReDet: A Rotation-equivariant Detector for Aerial Object Detection
    Jiaming Han*, Jian Ding*, Nan Xue, Gui-Song Xia
    CVPR, 2021.
    PDF Code

  14. Align Deep Features for Oriented Object Detection
    Jiaming Han*, Jian Ding*, Jie Li, Gui-Song Xia
    TGRS, 2020.
    PDF Code

  15. Learning RoI Transformer for Detecting Oriented Objects in Aerial Images
    Jian Ding, Nan Xue, Yang Long, Gui-Song Xia, Qikai Lu
    CVPR, 2019.
    PDF Code

  16. Mask OBB: A semantic attention-based mask oriented bounding box representation for multi-category object detection in aerial images
    Jinwang Wang*, Jian Ding*, Haowen Guo, Wensheng Cheng, Ting Pan, Wen Yang
    Remote Sensing, 2019.
    PDF

  17. DOTA: A Large-scale Dataset for Object Detection in Aerial Images
    Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang
    CVPR, 2018.
    PDF Project Page

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