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Jian Ding

Postdoctoral Researcher
KAUST
jianding101@gmail.com


About Me

I’m a research scientist at the Huawei Zurich Research Center, working on embodied AI. I was 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.

Publications

  1. Esports World Model Dataset
    Weiyu Ma, Zeyuan Gong, Xuhui Liu, Wenxuan Zhang, Jian Ding, Xinyu Cui, Jian Zhao, Mohamed Elhoseiny
    arXiv, 2026.

  2. ContextFlow: In-Context Flow Matching for Robot Manipulation
    Jian Ding*, Xianjie Dai*, Roei Herzig, Nussair Hroub, Jinjie Mai, Dengxin Dai, Bernard Ghanem, Mohamed Elhoseiny
    ECCV, 2026.

  3. Hybrid Advantage Estimation with Unified Critic for VLM Agentic Reinforcement Learning
    Wenxuan Zhang, Yuhui Wang, Donggang Jia, Xiaoqian Shen, Jian Ding, Ivan Viola, Jürgen Schmidhuber, Mohamed Elhoseiny
    ECCV, 2026.

  4. Artic-O: End-to-End Articulated Object Reconstruction via Latent Geometry Learning
    Xuyang Wang, Zhenyu Li, Jian Ding†, Habib Slim, Peter Wonka, Hongdong Li, Mohamed Elhoseiny
    SIGGRAPH Asia, 2026.

  5. 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
    EMNLP, 2025.

  6. Diffusion-based imaginative coordination for bimanual manipulation
    Huilin Xu, Jian Ding, Jiakun Xu, Ruixiang Wang, Jun Chen, Jinjie Mai, Yanwei Fu, Bernard Ghanem, Feng Xu, and Mohamed Elhoseiny
    ICCV, 2025.

  7. Kestrel: Part Aware Point Grounding 3D Vision Large Multimodal Model
    Junjie Fei, Mahmoud Ahmed, Jian Ding, Eslam Mohamed Bark, Mohamed Elhoseiny
    ICCV, 2025.


  8. 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
    CVPRW, 2024.

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

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

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

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

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

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

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

  16. 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.

  17. 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.

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

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

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

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

  22. 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.

  23. 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.

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