activity
20242026
collaborators

7 papers

cs.CV2026

Dive into the Scene: Breaking the Perceptual Bottleneck in Vision-Language Decision Making via Focus Plan Generation

Boyuan Xiao, Bohong Chen, Yumeng Li +3

In embodied vision-language decision making tasks such as robotic manipulation and navigation, Vision-Language and Vision-Language-Action Models (VLMs & VLAs) are powerful tools wi…

cs.CV2026

EchoAvatar: Real-time Generative Avatar Animation from Audio Streams

Bohong Chen, Yumeng Li, Yinglin Xu +3

Real-time synthesis of high-fidelity 3D character motion from audio is a pivotal component for next-generation interactive avatars and virtual assistants. However, most existing ap…

cs.CV2025

Autonomous Imagination: Closed-Loop Decomposition of Visual-to-Textual Conversion in Visual Reasoning for Multimodal Large Language Models

Jingming Liu, Yumeng Li, Boyuan Xiao +5

Under pure textual modality, Large Language Models (LLMs) have demonstrated remarkable success in complex reasoning tasks by decomposing them into simpler sub-problems. However, Mu…

cs.CV2025

Motion-example-controlled Co-speech Gesture Generation Leveraging Large Language Models

Bohong Chen, Yumeng Li, Youyi Zheng +2

The automatic generation of controllable co-speech gestures has recently gained growing attention. While existing systems typically achieve gesture control through predefined categ…

cs.IR2025

Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation

Jingming Liu, Yumeng Li, Wei Shi +3

Recent studies have proposed leveraging Large Language Models (LLMs) as information retrievers through query rewriting. However, for challenging corpora, we argue that enhancing qu…

cs.CV2025

RGBAvatar: Reduced Gaussian Blendshapes for Online Modeling of Head Avatars

Linzhou Li, Yumeng Li, Yanlin Weng +2

We present Reduced Gaussian Blendshapes Avatar (RGBAvatar), a method for reconstructing photorealistic, animatable head avatars at speeds sufficient for on-the-fly reconstruction.…