Guodong Ding's Homepage
 |
Guodong Ding (Ph.D) 丁国栋 [CV]
dinggd [at] comp.nus.edu [dot] sg |
Research Interest
My current research interest is mainly understanding human actions in long range video sequences, i.e., Temporal Action Segmentation. I am also interested in learning with weaker forms of data supervisions such as, weakly-supervised and semi-supervised learning.
Updates
[Apr., 25] One extended abstract accepted to CVPR2024 Workshop LPVL2024.
[Feb., 24] One conference paper accepted to CVPR2024.
[Oct., 23] One survey paper accpeted to TPAMI.
[Dec., 22] One journal paper accpetd to TMM.
Employment
Senior Research Fellow (Oct., 23 - Present), in School of Computing (SoC), National University of Singapore, Singapore.
Research Fellow (Oct., 20 - Oct., 23), in School of Computing (SoC), National University of Singapore, Singapore.
Engineering Intern (June, 19 - Sept., 19), in China QCT MM R&D, Qualcomm Shanghai, China.
Research Experiences
Visiting Scholar (Feb., 17 - Oct., 17), in Australian National University, Australia.
Research Assistant (Nov., 15 - Feb., 17), in the Hong Kong Polytechnic University, Hong Kong, China.
Adivsed Students
Hans Golong (2023-2024, Master, NUS)
Qing Zhong (2024, PhD, University of Adelaide)
Publications
Preprints & working papers
G. Ding*, S. Khan, Z. Tang, J. Zhang and F. Porikli, Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification, Arxiv paper 2019. [pdf]|[code]|[project page]
Journal articles
G. Ding, F. Sener and A. Yao, Temporal Action Segmentation: An Analysis of Modern Techniques, IEEE Transactions on Pattern Analysis and Machine Intelligence 2023. [pdf]|[project page]|[resources]
G. Ding and A. Yao, Temporal Action Segmentation with High-level Complex Activity Labels, IEEE Transcations on Multimedia 2022. [pdf]|[project page]
Q. Yin, G. Wang, G. Ding, Q. Li, S. Gong and Z. Tang, Rapid Person Re-Identification via Sub-space Consistency Regularization, Neural Processing Letters 2022. [pdf]|[project page]
Q. Yin, G. Wang, G. Ding, S. Gong and Z. Tang, Multi-View Label Prediction for Unsupervsied Person Re-identification, IEEE Singal Processing Letters 2021. [pdf]|[project page]
G. Ding*, S. Zhang, S. Khan, Z. Tang, J. Zhang and F. Porikli, Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification, IEEE Transcations on Multimedia 2019. [pdf]|[project page]
G. Ding*, S. Khan, Z. Tang, and F. Porikli, Feature Mask Network for Person Re-identification, Pattern Recognition Letters 2019. [pdf]|[project page]
Conference papers
G. Ding, F. Sener, S. Ma and A. Yao, Ordering Mistake Detection in Assembly Tasks, CVPR Workshop 2024. [pdf]|[project page]|[annots]
G. Ding, H. Golong and A. Yao, Coherent Temporal Synthesis for Incremental Action Segmentation, Computer Vision and Pattern Recognition 2024. [pdf]|[project page]|[video]|[poster]|[slides]
G. Ding and A. Yao, Leveraging Action Affinity and Continuity for Semi-supervised Temporal Action Segmentation, European Conference on Computer Vision 2022. [pdf]|[poster]|[project page]
G. Ding, S. Khan, and Z. Tang, Dispersion-based Clustering for Unsupervised Person Re-identification, British Machine Vision Conference, 2019. [pdf]|[project page]
G. Ding*, S. Zhang, S. Khan, and Z. Tang, Center based Pseudo-labeling for Semi-supervised Person Re-identification, International Conference of Multimedia and Expo Workshops 2018. [pdf]|[slides]
(*: corresponding author, underlined: supervised student)
Reviewer
Journal:
TPAMI, TMM, TIP, TOSN, TII
Conference:
CVPR, ECCV, ICCV, NeurIPS, AAAI, BMVC, ICME
Organizer of ATLAS Tutorial on understanding actions in long untrimmed videos in conjunction with ECCV2022.
Collaborators
Prof. Angela Yao, School of Computing, National University of Singapore
Prof. Salman Khan, MBZUAI
Prof. Jian Zhang, University of Technology Sydney
Prof. Fatih Porikli, Qualcomm, USA
Prof. Shanshan Zhang, Nanjing University of Science and Technology
