6 papers
Training-Free Multimodal Deepfake Detection via Graph Reasoning
Yuxin Liu, Fei Wang, Kun Li +5
Multimodal deepfake detection (MDD) aims to uncover manipulations across visual, textual, and auditory modalities, thereby reinforcing the reliability of modern information systems…
Online Micro-gesture Recognition Using Data Augmentation and Spatial-Temporal Attention
Pengyu Liu, Kun Li, Fei Wang +3
In this paper, we introduce the latest solution developed by our team, HFUT-VUT, for the Micro-gesture Online Recognition track of the IJCAI 2025 MiGA Challenge. The Micro-gesture…
MM-Gesture: Towards Precise Micro-Gesture Recognition through Multimodal Fusion
Jihao Gu, Fei Wang, Kun Li +3
In this paper, we present MM-Gesture, the solution developed by our team HFUT-VUT, which ranked 1st in the micro-gesture classification track of the 3rd MiGA Challenge at IJCAI 202…
Motion Matters: Motion-guided Modulation Network for Skeleton-based Micro-Action Recognition
Jihao Gu, Kun Li, Fei Wang +4
Micro-Actions (MAs) are an important form of non-verbal communication in social interactions, with potential applications in human emotional analysis. However, existing methods in…
Exploiting Ensemble Learning for Cross-View Isolated Sign Language Recognition
Fei Wang, Kun Li, Yiqi Nie +5
In this paper, we present our solution to the Cross-View Isolated Sign Language Recognition (CV-ISLR) challenge held at WWW 2025. CV-ISLR addresses a critical issue in traditional…
Temporal-Frequency State Space Duality: An Efficient Paradigm for Speech Emotion Recognition
Jiaqi Zhao, Fei Wang, Kun Li +4
Speech Emotion Recognition (SER) plays a critical role in enhancing user experience within human-computer interaction. However, existing methods are overwhelmed by temporal domain…