4 papers · 1 filter
Towards Benign Memory Forgetting for Selective Multimodal Large Language Model Unlearning
Zhen Zeng, Leijiang Gu, Zhangling Duan +4
Multimodal large language models (MLLMs) can inadvertently memorize privacy-sensitive information during training. While existing unlearning methods can remove such content, they o…
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…
CLASP: Cross-modal Salient Anchor-based Semantic Propagation for Weakly-supervised Dense Audio-Visual Event Localization
Jinxing Zhou, Ziheng Zhou, Yanghao Zhou +3
The Dense Audio-Visual Event Localization (DAVEL) task aims to temporally localize events in untrimmed videos that occur simultaneously in both the audio and visual modalities. Thi…
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…