Buwen Liang — accepted AI-conference papers

2025

Audio-Visual Instance Segmentation

Ruohao Guo, Xianghua Ying, Yaru Chen, Dantong Niu, Guangyao Li, Liao Qu +8

CVPR 2025poster

In this paper, we propose a new multi-modal task, termed audio-visual instance segmentation (AVIS), which aims to simultaneously identify, segment and track individual sounding object instances in audible videos. To facilitate this research, we introduce a high-quality benchmark named AVISeg, contai…

Cited by 8 Source ↗PDF ↗code ↗Scholar ↗

2025

PEDE: Enhance Multi-modal Sarcasm Detection in Videos via Prompted Emotion Distributions

Xiaoqiang Zhang, Ying Chen, Guangyao Li, Buwen Liang

ICASSP 2025accepted

Multi-modal sarcasm detection is crucial for understanding human communications. A key aspect of multi-modal sarcasm detection is the analysis of emotion incongruity. However, the advancement of emotion analysis in video is hindered by the scarcity of labeled datasets, which are limited in both scal…

Cited by 0 Source ↗Scholar ↗