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cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…