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20242026
most citedRetrieval-Augmented Dialogue Knowledge Aggregation for Expressive Conversational Speech Synthesis

1 citations · 1 across the 19 of their papers we have counts for

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cs.CV2026

Align Then Reason: A Multimodal Lip-Sync Judge for Dubbing

Rui Liu, Bhavin Jawade, Haoqi Li +4

Dubbing quality control requires a reference-free judge that can determine whether a candidate text line matches a speaker's visible articulation in both content and timing, using…

cs.CV2026

GuideMe: Multi-Domain Task Guidance and Intervention in Streaming Video

Fang Liu, Jinpeng Chen, Ke Xu +7

While multimodal Large Language Models (MLLMs) excel at offline video understanding, an interesting question of how far they are from serving as a real-time procedural coach remain…

cs.CV2026

X-Stream: Exploring MLLMs as Multiplexers for Multi-Stream Understanding

Peiwen Sun, Xudong Lu, Huadai Liu +10

While video streaming understanding has made significant strides, real-world applications, such as live sports broadcasting, autonomous driving, and multi-screen collaboration, inh…

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.CV2025

Multi-modal and Multi-scale Spatial Environment Understanding for Immersive Visual Text-to-Speech

Rui Liu, Shuwei He, Yifan Hu +1

Visual Text-to-Speech (VTTS) aims to take the environmental image as the prompt to synthesize the reverberant speech for the spoken content. The challenge of this task lies in unde…