Analytic Subspace Routing: How Recursive Least Squares Works in Continual Learning of Large Language Model.
CoRR, March, 2025
Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning.
CoRR, March, 2025
Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Rethinking Vision Transformer and Masked Autoencoder in Multimodal Face Anti-Spoofing.
Int. J. Comput. Vis., November, 2024
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
FusionMamba: dynamic feature enhancement for multimodal image fusion with Mamba.
Vis. Intell., 2024
Rethinking Few-Shot Class-Incremental Learning With Open-Set Hypothesis in Hyperbolic Geometry.
IEEE Trans. Multim., 2024
EPE-P: Evidence-based Parameter-efficient Prompting for Multimodal Learning with Missing Modalities.
CoRR, 2024
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning.
CoRR, 2024
TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Model.
CoRR, 2024
DAAD: Dynamic Analysis and Adaptive Discriminator for Fake News Detection.
CoRR, 2024
Segment Anything for Videos: A Systematic Survey.
CoRR, 2024
FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba.
CoRR, 2024
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
PhysFormer++: Facial Video-Based Physiological Measurement with SlowFast Temporal Difference Transformer.
Int. J. Comput. Vis., June, 2023
Few-shot learning for image classification.
PhD thesis, 2023
Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation.
IEEE Trans. Multim., 2023
Hyperbolic Face Anti-Spoofing.
CoRR, 2023
Visual Prompt Flexible-Modal Face Anti-Spoofing.
CoRR, 2023
A Comprehensive Survey on Segment Anything Model for Vision and Beyond.
CoRR, 2023
Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less.
CoRR, 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters.
CoRR, 2023
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape.
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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Coarse-to-fine pseudo supervision guided meta-task optimization for few-shot object classification.
Pattern Recognit., 2022
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry.
CoRR, 2022
Informative Class-Conditioned Feature Alignment for Unsupervised Domain Adaptation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Semi-Supervised Few-Shot Class-Incremental Learning.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Semi-Supervised Few-Shot Object Detection with a Teacher-Student Network.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation.
CoRR, 2018
Deep CNN-based Visual Target Tracking System Relying on Monocular Image Sensing.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
A research on metric learning in computer vision and pattern recognition.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018
End-to-End Visual Target Tracking in Multi-robot Systems Based on Deep Convolutional Neural Network.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017