activity
20242026
most citedCogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

5 citations · 7 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Real-Time Generation of Streamable Talking Portrait Video with Reference-Guided Deep Compression VAEs

Sicheng Xu, Yu Deng, Shoukang Hu +5

Video diffusion models have significantly advanced portrait video generation, yet their high computational demands limit their use in interactive applications. This work presents a…

cs.HC2026

Magical Touch: Transforming Raw Capacitive Streams into Expressive Hand-Touchscreen Interaction

Yuanlei Guo, Xizi Gong, Yizhong Zhang +1

Modern touchscreens utilize capacitive sensing technology to enable precise and robust multi-touch interaction. However, the broader expressive potential of the human hand remains…

cs.CV2025

VASA-3D: Lifelike Audio-Driven Gaussian Head Avatars from a Single Image

Sicheng Xu, Guojun Chen, Jiaolong Yang +4

We propose VASA-3D, an audio-driven, single-shot 3D head avatar generator. This research tackles two major challenges: capturing the subtle expression details present in real human…

cs.RO20251 cited

Scalable Vision-Language-Action Model Pretraining for Robotic Manipulation with Real-Life Human Activity Videos

Qixiu Li, Yu Deng, Yaobo Liang +14

This paper presents a novel approach for pretraining robotic manipulation Vision-Language-Action (VLA) models using a large corpus of unscripted real-life video recordings of human…

cs.RO2024

UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping

Wenbo Wang, Fangyun Wei, Lei Zhou +9

We introduce UniGraspTransformer, a universal Transformer-based network for dexterous robotic grasping that simplifies training while enhancing scalability and performance. Unlike…

cs.RO20245 cited

CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Qixiu Li, Yaobo Liang, Zeyu Wang +15

The advancement of large Vision-Language-Action (VLA) models has significantly improved robotic manipulation in terms of language-guided task execution and generalization to unseen…