Stebėti
Yue Zhongqi
Yue Zhongqi
Patvirtintas el. paštas e.ntu.edu.sg
Pavadinimas
Cituota
Cituota
Metai
Interventional few-shot learning
Z Yue, H Zhang, Q Sun, XS Hua
Advances in neural information processing systems 33, 2734-2746, 2020
2322020
Counterfactual zero-shot and open-set visual recognition
Z Yue, T Wang, Q Sun, XS Hua, H Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1952021
Transporting causal mechanisms for unsupervised domain adaptation
Z Yue, Q Sun, XS Hua, H Zhang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
642021
Self-supervised learning disentangled group representation as feature
T Wang, Z Yue, J Huang, Q Sun, H Zhang
Advances in Neural Information Processing Systems 34, 18225-18240, 2021
622021
Unbiased multiple instance learning for weakly supervised video anomaly detection
H Lv, Z Yue, Q Sun, B Luo, Z Cui, H Zhang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
302023
Random boxes are open-world object detectors
Y Wang, Z Yue, XS Hua, H Zhang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
72023
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation
Z Yue, Q Sun, H Zhang
Advances in Neural Information Processing Systems 36, 2024
32024
Invariant Feature Regularization for Fair Face Recognition
J Ma, Z Yue, K Tomoyuki, S Tomoki, K Jayashree, S Pranata, H Zhang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
32023
Exploring Diffusion Time-steps for Unsupervised Representation Learning
Z Yue, J Wang, Q Sun, L Ji, EI Chang, H Zhang
arXiv preprint arXiv:2401.11430, 2024
22024
Few-shot Learner Parameterization by Diffusion Time-steps
Z Yue, P Zhou, R Hong, H Zhang, Q Sun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
Proposal-Level Unsupervised Domain Adaptation for Open World Unbiased Detector
X Liu, Z Yue, XS Hua
arXiv preprint arXiv:2311.02342, 2023
2023
Unbiased multiple instance learning for weakly supervised video anomaly detection.(2023)
H LYU, Z YUE, Q SUN, B LUO, Z CUI, H ZHANG
Proceedings of the 2023 Conference on Computer Vision and Pattern …, 2023
2023
HUA, Xian-Sheng. Interventional few-shot learning.(2020)
Z YUE, Z Hanwang, Q SUN
Proceedings of the 34th Conference on Neural Information Processing Systems …, 2020
2020
Supplementary Material for Interventional Few-Shot Learning
Z Yue, H Zhang, Q Sun, XS Hua
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Straipsniai 1–14