Jian Ding
Email: jianding101@gmail.com
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 and Prof. Bernt Schiele . My current research interests includes vision and language models and embodied AI.
I support slow science.
Publications
(* Equal Contribution)
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InfiniBench: A Comprehensive Benchmark for Large Multimodal Models in Very Long Video Understanding. [PDF] Kirolos Ataallah, Chenhui Gou, Eslam Abdelrahman, Khushbu Pahwa, Jian Ding, Mohamed Elhoseiny. Arvix, 2024.
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MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens. [PDF] Kirolos Ataallah, Xiaoqian Shen, Eslam Abdelrahman, Essam Sleiman, Deyao Zhu, Jian Ding, Mohamed Elhoseiny. Arvix, 2024.
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FreePoint: Unsupervised Point Cloud Instance Segmentation. [PDF] 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. [PDF] Xiang Li*, Jian Ding*, Zhaoyang Chen, Mohamed Elhoseiny. ECCV, 2024.
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Prompting Segmentation with Sound is Generalizable Audio-Visual Source Localizer. [PDF] 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. [PDF] [Code] 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. [PDF] [Code] Jiaming Han, Yuqiang Ren, Jian Ding, Ke Yan, Gui-Song Xia. AAAI, 2023.
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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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Professional Activities
Conference Reviewer:
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
European Conference on Computer Vision (ECCV)
International Conference on Computer Vision (ICCV)
International Conference on Image and Graphics (ICIG)
Conference on Neural Information Processing Systems (NeurIPS)
International Conference on Learning Representations (ICLR)
International Conference on Machine Learning (ICML)
Journal Reviewer:
International Journal of Computer Vision (IJCV)
Transactions on Intelligent Transportation Systems (T-ITS)
Neurocomputing
IEEE Robotics and Automation Letters (RA-L)
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