10 papers
SAMOT: State-Aware Step Modulation and Optimal Transport Matching for Audio-Visual Instance Segmentation
Kai Peng, Yunzhe Shen, Miao Zhang +5
Audio-Visual Instance Segmentation (AVIS) aims to simultaneously classify, segment, and track sounding objects within video sequences. Unlike Audio-Visual Semantic Segmentation (AV…
Hear to See: Discerning Stateful Listening for Audio-Visual Instance Segmentation
Leiye Liu, Miao Zhang, Jiahong Jiang +7
Audio-visual instance segmentation (AVIS) requires accurately identifying and tracking individual sounding objects with pixel-level masks. Existing methods struggle to match overla…
AdaSurvMamba: Dynamic Fusion and Semantic Scanning for Multimodal Survival Analysis
Jialong Zhong, Tingwei Liu, Baokun Yue +7
Multimodal survival analysis utilizing whole slide images (WSIs) and genomic profiles is fundamental for cancer prognosis. Recently, state-space models like Mamba have emerged as p…
Explainable Forensics of Manipulated Segments in Untrimmed Long Videos
Yue Feng, Jingjing Li, Qijia Lu +9
The rapid advancement of AI-driven video generation has transformed content creation, while simultaneously increasing the risk of misinformation through localized manipulations in…
Towards Unified Surgical Scene Understanding:Bridging Reasoning and Grounding via MLLMs
Jincai Huang, Shihao Zou, Yuchen Guo +5
Surgical scene understanding is a cornerstone of computer-assisted intervention. While recent advances, particularly in surgical image segmentation, have driven progress, real-worl…
SAM3-I: Segment Anything with Instructions
Jingjing Li, Yue Feng, Yuchen Guo +10
Segment Anything Model 3 (SAM3) advances open-vocabulary segmentation through promptable concept segmentation, enabling users to segment all instances associated with a given conce…