Exploring Vacant Classes in Label-Skewed Federated Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection.
IEEE Trans. Circuits Syst. Video Technol., March, 2024
Learning to Rank Pre-trained Vision-Language Models for Downstream Tasks.
CoRR, 2024
State Space Model for New-Generation Network Alternative to Transformers: A Survey.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2024
Which Model to Transfer? A Survey on Transferability Estimation.
CoRR, 2024
Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning.
CoRR, 2024
ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation.
Neural Networks, October, 2023
Unleashing the power of Neural Collapse for Transferability Estimation.
CoRR, 2023
Where to Focus: Central Attention-Based Face Forgery Detection.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Modify: Model-Driven Face Stylization Without Style Images.
Proceedings of the IEEE International Conference on Acoustics, 2023
Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion.
Proceedings of the 25th International Conference on Pattern Recognition, 2020