1 citations · 1 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
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…
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.…
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…
Enabling Synergistic Full-Body Control in Prompt-Based Co-Speech Motion Generation
Bohong Chen, Yumeng Li, Yao-Xiang Ding +2
Current co-speech motion generation approaches usually focus on upper body gestures following speech contents only, while lacking supporting the elaborate control of synergistic fu…
QPoser: Quantized Explicit Pose Prior Modeling for Controllable Pose Generation
Yumeng Li, Yaoxiang Ding, Zhong Ren +1
Explicit pose prior models compress human poses into latent representations for using in pose-related downstream tasks. A desirable explicit pose prior model should satisfy three d…