Multi-view Distillation based on Multi-modal Fusion for Few-shot Action Recognition(CLIP-$\mathrm{M^2}$DF)

no code implementations • 16 Jan 2024 • Fei Guo, Yikang Wang, Han Qi, Wenping Jin, Li Zhu

In each view, we fuse the prompt embedding as consistent information with visual and the global or local temporal context to overcome the overlapping distribution of classes and outliers.

Few-Shot action recognition Few Shot Action Recognition +1

Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CP$\mathbf{M^2}$C)

no code implementations • 2 Dec 2023 • Fei Guo, Li Zhu, Yikang Wang, Han Qi

Although some multi-modal works use labels as supplementary to construct prototypes of support videos, they can not use this information for query videos.

Domain Adaptation Few-Shot action recognition +2

The DKU-DUKEECE System for the Manipulation Region Location Task of ADD 2023

no code implementations • 20 Aug 2023 • Zexin Cai, Weiqing Wang, Yikang Wang, Ming Li

This paper introduces our system designed for Track 2, which focuses on locating manipulated regions, in the second Audio Deepfake Detection Challenge (ADD 2023).

Boundary Detection DeepFake Detection +2

The DKU-OPPO System for the 2022 Spoofing-Aware Speaker Verification Challenge

no code implementations • 15 Jul 2022 • Xingming Wang, Xiaoyi Qin, Yikang Wang, Yunfei Xu, Ming Li

For CM systems, we propose two methods on top of the challenge baseline to further improve the performance, namely Embedding Random Sampling Augmentation (ERSA) and One-Class Confusion Loss(OCCL).

Speaker Verification