activity
20242026
collaborators

18 papers

cs.CV2026

Live Avatar: Streaming Real-time Audio-Driven Avatar Generation with Infinite Length

Yubo Huang, Hailong Guo, Fangtai Wu +9

Audio-driven avatar interaction demands real-time, streaming, and infinite-length generation -- capabilities fundamentally at odds with the sequential denoising and long-horizon dr…

cs.CV2026

A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation

Yabin Zhang, Chong Wang, Yunhe Gao +19

Chest X-rays (CXRs) are among the most frequently performed imaging examinations worldwide, yet rising imaging volumes increase radiologist workload and the risk of diagnostic erro…

cs.CV2026

The Geometry of Compromise: Unlocking Generative Capabilities via Controllable Modality Alignment

Hongyuan Liu, Qinli Yang, Wen Li +6

Vision-Language Models (VLMs) such as CLIP learn a shared embedding space for images and text, yet their representations remain geometrically separated, a phenomenon known as the m…

cs.CV2026

Look Before Acting: Enhancing Vision Foundation Representations for Vision-Language-Action Models

Yulin Luo, Hao Chen, Zhuangzhe Wu +10

Vision-Language-Action (VLA) models have recently emerged as a promising paradigm for robotic manipulation, in which reliable action prediction critically depends on accurately int…

cs.CV2026

Unlocking the Latent Canvas: Eliciting and Benchmarking Symbolic Visual Expression in LLMs

Yiren Zheng, Shibo Li, Jiaming Liu +2

Current multimodal approaches predominantly treat visual generation as an external process, relying on pixel rendering or code execution, thereby overlooking the native visual repr…

cs.CV2026

Learning Generalizable 3D Medical Image Representations from Mask-Guided Self-Supervision

Yunhe Gao, Yabin Zhang, Chong Wang +5

Foundation models have transformed vision and language by learning general-purpose representations from large-scale unlabeled data, yet 3D medical imaging lacks analogous approache…