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cs.CV2026

Realtime-Venus: A full-duplex interaction system with asynchronous delegation

Ant Group, Ruixiang Zhao, Hualei Wang +25

Natural interaction in digital and physical environments requires continuous perception and timely responses. Spoken dialogue relies on acoustic and linguistic cues, while video in…

cs.CV2026

LVOmniBench: Pioneering Long Audio-Video Understanding Evaluation for Omnimodal LLMs

Keda Tao, Yuhua Zheng, Jia Xu +13

Recent advancements in omnimodal large language models (OmniLLMs) have significantly improved the comprehension of audio and video inputs. However, current evaluations primarily fo…

cs.CV2025

StreamingAssistant: Efficient Visual Token Pruning for Accelerating Online Video Understanding

Xinqi Jin, Hanxun Yu, Bohan Yu +8

Online video understanding is essential for applications like public surveillance and AI glasses. However, applying Multimodal Large Language Models (MLLMs) to this domain is chall…

cs.CV2025

Active Perception Agent for Omnimodal Audio-Video Understanding

Keda Tao, Wenjie Du, Bohan Yu +3

Omnimodal large language models have made significant strides in unifying audio and visual modalities; however, they often face challenges in fine-grained cross-modal understanding…

cs.CV2025

OmniZip: Audio-Guided Dynamic Token Compression for Fast Omnimodal Large Language Models

Keda Tao, Kele Shao, Bohan Yu +3

Omnimodal large language models (OmniLLMs) have attracted increasing research attention of late towards unified audio-video understanding. However, the high computational cost of p…