Jian Ding

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

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.

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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.

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Kestrel: Part Aware Point Grounding 3D Vision Large Multimodal Model

Junjie Fei, Mahmoud Ahmed, Jian Ding, Eslam Mohamed Bark, Mohamed Elhoseiny

ICCV, 2025.

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VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding

Xiang Li, Jian Ding, Mohamed Elhoseiny

NeruIPS, 2024.

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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.

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FreePoint: Unsupervised Point Cloud Instance Segmentation

Zhikai Zhang, Jian Ding, Li Jiang, Dengxin Dai, Gui-Song Xia

CVPR, 2024.

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Uni3DL: Unified Model for 3D and Language Understanding

Xiang Li*, Jian Ding*, Zhaoyang Chen, Mohamed Elhoseiny

ECCV, 2024.

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Prompting Segmentation with Sound is Generalizable Audio-Visual Source Localizer

Yaoting Wang, Weisong Liu, Guangyao Li, Jian Ding, Di Hu, Xi Li

AAAI, 2024.

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HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation

Jian Ding, Nan Xue, Gui-Song Xia, Bernt Schiele, Dengxin Dai

CVPR, 2023.

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Few-Shot Object Detection via Variational Feature Aggregation

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

AAAI, 2023.

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Decoupling Zero-Shot Semantic Segmentation

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

CVPR, 2022.

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Expanding Low-Density Latent Regions for Open-Set Object Detection

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

CVPR, 2022.

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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.

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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.

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DetCo: Unsupervised Contrastive Learning for Object Detection

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

ICCV, 2021.

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ReDet: A Rotation-equivariant Detector for Aerial Object Detection

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

CVPR, 2021.

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Align Deep Features for Oriented Object Detection

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

TGRS, 2020.

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Learning RoI Transformer for Detecting Oriented Objects in Aerial Images

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

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

Remote Sensing, 2019.

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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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