Jian Ding's homepage

Jian Ding

Wuhan University

Email: jianding101@gmail.com

I'm a postdoc researcher at King Abdullah University of Science and Technology (KAUST), working with Prof. Mohamed Elhoseiny. 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, the generalization of segmentation/detection models to unseen classes and domains, visual representation learning and remote sensing.

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)

	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.
	HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation. [PDF] [Code] Jian Ding, Nan Xue, Gui-Song Xia, Bernt Schiele, Dengxin Dai. CVPR, 2023.
	Few-Shot Object Detection via Variational Feature Aggregation. [PDF] [Code] Jiaming Han, Yuqiang Ren, Jian Ding, Ke Yan, Gui-Song Xia. AAAI, 2023.
	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.
	Decoupling Zero-Shot Semantic Segmentation. [PDF] [Code] Jian Ding, Nan Xue, Gui-Song Xia, Dengxin Dai. CVPR, 2022.
	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.
	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.
	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.
	Align Deep Features for Oriented Object Detection. [PDF] [Code] Jiaming Han, Jian Ding, Jie Li, Gui-Song Xia. TGRS, 2020.
	ReDet: A Rotation-equivariant Detector for Aerial Object Detection. [PDF] [Code] Jiaming Han, Jian Ding, Nan Xue, Gui-Song Xia. CVPR, 2021.
	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.
	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.
	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.

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)