most citedCan Textual Semantics Mitigate Sounding Object Segmentation Preference?

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Benchmark Everything Everywhere All at Once

Shiyun Xiong, Dongming Wu, Peiwen Sun +5

Benchmarks are fundamental for evaluating and advancing LLMs and MLLMs by providing standardized and explicit measures of performance. However, their construction is labor-intensiv…

cs.CV2026

LongSpace: Exploring Long-Horizon Spatial Memory from Perception to Recall in Video

Shiqiang Lang, Jing Liu, Haoyang He +6

Multimodal Large Language Models (MLLMs) have advanced image and video understanding and can increasingly handle longer visual inputs. Long-horizon tasks such as autonomous driving…

cs.CV2026

AURA: Always-On Understanding and Real-Time Assistance via Video Streams

Xudong Lu, Yang Bo, Jinpeng Chen +9

Video Large Language Models (VideoLLMs) have achieved strong performance on many video understanding tasks, but most existing systems remain offline and are not well-suited for liv…

cs.CV2024

Unveiling and Mitigating Bias in Audio Visual Segmentation

Peiwen Sun, Honggang Zhang, Di Hu

Community researchers have developed a range of advanced audio-visual segmentation models aimed at improving the quality of sounding objects' masks. While masks created by these mo…

cs.CV2024

Ref-AVS: Refer and Segment Objects in Audio-Visual Scenes

Yaoting Wang, Peiwen Sun, Dongzhan Zhou +3

Traditional reference segmentation tasks have predominantly focused on silent visual scenes, neglecting the integral role of multimodal perception and interaction in human experien…

cs.CV2024★ 1 cited

Can Textual Semantics Mitigate Sounding Object Segmentation Preference?

Yaoting Wang, Peiwen Sun, Yuanchao Li +2

The Audio-Visual Segmentation (AVS) task aims to segment sounding objects in the visual space using audio cues. However, in this work, it is recognized that previous AVS methods sh…

cs.CV2024

Stepping Stones: A Progressive Training Strategy for Audio-Visual Semantic Segmentation

Juncheng Ma, Peiwen Sun, Yaoting Wang +1

Audio-Visual Segmentation (AVS) aims to achieve pixel-level localization of sound sources in videos, while Audio-Visual Semantic Segmentation (AVSS), as an extension of AVS, furthe…