activity
20242026
collaborators

17 papers

cs.HC2026

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…

cs.SD2026

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…

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.AI2026

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…

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…