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Ding Guodong
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Feature affinity-based pseudo labeling for semi-supervised person re-identification
G Ding, S Zhang, S Khan, Z Tang, J Zhang, F Porikli
IEEE Transactions on Multimedia 21 (11), 2891-2902, 2019
742019
Towards better validity: Dispersion based clustering for unsupervised person re-identification
G Ding, S Khan, Z Tang, J Zhang, F Porikli
arXiv preprint arXiv:1906.01308, 2019
702019
Feature mask network for person re-identification
G Ding, S Khan, Z Tang, F Porikli
Pattern Recognition Letters 137, 91-98, 2020
372020
Temporal action segmentation: An analysis of modern techniques
G Ding, F Sener, A Yao
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
242023
Let features decide for themselves: Feature mask network for person re-identification
G Ding, S Khan, Z Tang, F Porikli
arXiv preprint arXiv:1711.07155, 2017
212017
Multi-view label prediction for unsupervised learning person re-identification
Q Yin, G Ding, S Gong, Z Tang
IEEE Signal Processing Letters 28, 1390-1394, 2021
162021
Temporal action segmentation with high-level complex activity labels
G Ding, A Yao
IEEE Transactions on Multimedia, 2022
72022
Leveraging action affinity and continuity for semi-supervised temporal action segmentation
G Ding, A Yao
European Conference on Computer Vision, 17-32, 2022
52022
Rapid Person Re-Identification via Sub-space Consistency Regularization
Q Yin, G Wang, G Ding, Q Li, S Gong, Z Tang
Neural Processing Letters 55 (3), 3149-3168, 2023
12023
Coherent Temporal Synthesis for Incremental Action Segmentation
G Ding, H Golong, A Yao
arXiv preprint arXiv:2403.06102, 2024
2024
Every Mistake Counts: Spatial and Temporal Beliefs for Mistake Detection in Assembly Tasks
G Ding, F Sener, S Ma, A Yao
2023
Every Mistake Counts in Assembly
G Ding, F Sener, S Ma, A Yao
arXiv preprint arXiv:2307.16453, 2023
2023
Dispersion based Clustering for Unsupervised Person Re-identification.
G Ding, SH Khan, Z Tang, J Zhang, F Porikli
BMVC 1 (2), 8, 2019
2019
Center based pseudo-labeling for semi-supervised person re-identification
G Ding, S Zhang, SH Khan, Z Tang
IEEE, 2018
2018
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