1 citations · 1 across the 19 of their papers we have counts for
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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…
AuEmoChat: Authentic Emotion Understanding and Rendering for Conversational Speech Synthesis
Zhenqi Jia, Yuan Zhao, Aruukhan +2
Conversational Speech Synthesis (CSS) aims to synthesize speech with human-like emotional expression and contextual consistency in user-agent interactions. Existing CSS methods str…
Let Me Look at You: Advanced Facial Expression Modeling for Conversational Speech Synthesis
Yifan Hu, Shuwei He, Rui Liu +1
Conversational Speech Synthesis is a fundamental component of human-computer interaction, aiming to generate contextually appropriate, expressive, and empathetic speech. However, f…
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…
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…
UI-KOBE: Knowledge-Oriented Behavior Exploration for Lightweight Graph-Guided GUI Agents
Yuxiang Chai, Han Xiao, Xinyu Fu +3
Recent advances in mobile GUI agents have shown strong potential for automating mobile tasks, but most effective systems still depend on large vision-language models for screenshot…
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…
Emotion and Acoustics Should Agree: Cross-Level Inconsistency Analysis for Audio Deepfake Detection
Jinhua Zhang, Zhenqi Jia, Rui Liu
Audio Deepfake Detection (ADD) aims to detect spoof speech from bonafide speech. Most prior studies assume that stronger correlations within or across acoustic and emotional featur…