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Jianyang Gu
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A strong baseline and batch normalization neck for deep person re-identification
H Luo, W Jiang, Y Gu, F Liu, X Liao, S Lai, J Gu
IEEE TMM 22 (10), 2597-2609, 2019
6482019
DREAM: Efficient Dataset Distillation by Representative Matching
Y Liu*, J Gu*, K Wang, Z Zhu, W Jiang, Y You
ICCV 2023, 2023
862023
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID
J Gu, K Wang, H Luo, C Chen, W Jiang, Y Fang, S Zhang, Y You, J Zhao
CVPR 2023, 2023
622023
Dataset Quantization
D Zhou*, K Wang*, J Gu*, X Peng, D Lian, Y Zhang, Y You, J Feng
ICCV 2023, 2023
602023
DiM: Distilling Dataset into Generative Model
K Wang*, J Gu*, D Zhou, Z Zhu, W Jiang, Y You
arXiv preprint arXiv:2303.04707, 2023
452023
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
Z Qin, K Wang, Z Zheng, J Gu, X Peng, D Zhou, Y You
ICLR 2024, 2024
432024
An empirical study of vehicle re-identification on the ai city challenge
H Luo, W Chen, X Xu, J Gu, Y Zhang, C Liu, Y Jiang, S He, F Wang, H Li
🏆 1st place solution for CVPR2021 AICity Challenge, 2021
432021
SoccerNet 2022 challenges results
S Giancola, A Cioppa, A Deliège, F Magera, V Somers, L Kang, X Zhou, ...
Proceedings of the 5th International ACM Workshop on Multimedia Content …, 2022
402022
Transformer-based domain-specific representation for unsupervised domain adaptive vehicle re-identification
R Wei, J Gu, S He, W Jiang
IEEE TITS 24 (3), 2935-2946, 2022
372022
Efficient Dataset Distillation via Minimax Diffusion
J Gu, S Vahidian, V Kungurtsev, H Wang, W Jiang, Y You, Y Chen
CVPR 2024, 2024
282024
Summarizing Stream Data for Memory-Restricted Online Continual Learning
J Gu, K Wang, W Jiang, Y You
AAAI 2024, 2024
27*2024
Multi-view evolutionary training for unsupervised domain adaptive person re-identification
J Gu, W Chen, H Luo, F Wang, H Li, W Jiang, W Mao
IEEE TIFS 17, 344-356, 2022
162022
An efficient global representation constrained by Angular Triplet loss for vehicle re-identification
J Gu, W Jiang, H Luo, H Yu
PAA 24, 367-379, 2021
142021
Can pre-trained models assist in dataset distillation?
Y Lu, X Chen, Y Zhang, J Gu, T Zhang, Y Zhang, X Yang, Q Xuan, K Wang, ...
arXiv preprint arXiv: 2310.03295, 2023
102023
ZJUNlict extended team description paper for RoboCup 2019
Z Huang, L Chen, J Li, Y Wang, Z Chen, L Wen, J Gu, P Hu, R Xiong
arXiv preprint arXiv:1905.09157, 2019
102019
Color prompting for data-free continual unsupervised domain adaptive person re-identification
J Gu, H Luo, K Wang, W Jiang, Y You, J Zhao
arXiv preprint arXiv:2308.10716, 2023
92023
Group Distributionally Robust Dataset Distillation with Risk Minimization
S Vahidian*, M Wang*, J Gu*, V Kungurtsev, W Jiang, Y Chen
ICLR 2025, 2024
82024
Dynamic gradient reactivation for backward compatible person re-identification
X Pan, H Luo, W Chen, F Wang, H Li, W Jiang, J Zhang, J Gu, P Li
Pattern Recognition 146, 110000, 2024
82024
3D-guided frontal face generation for pose-invariant recognition
H Wu, J Gu, X Fan, H Li, L Xie, J Zhao
ACM TIST 14 (2), 1-21, 2023
82023
ZJUNlict extended team description paper for RoboCup 2018
L Chen, L Jin, CW Lon, L Wen, J Gu, J Li, T Fang, R Xiong
RoboCup Wiki as extended team description of ZJUNlict, Montreal, Canada …, 2018
82018
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