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

5 citations · 5 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials

Yifan Pu, Jixuan Ying, Qixiu Li +7

Vision Transformers (ViTs) have become a universal backbone for both image recognition and image generation. Yet their Multi-Head Self-Attention (MHSA) layer still performs a quadr…

cs.RO2025

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.CV2025

Seeing Across Views: Benchmarking Spatial Reasoning of Vision-Language Models in Robotic Scenes

Zhiyuan Feng, Zhaolu Kang, Qijie Wang +16

Vision-language models (VLMs) are essential to Embodied AI, enabling robots to perceive, reason, and act in complex environments. They also serve as the foundation for the recent V…

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…

cs.AI2024

SynChart: Synthesizing Charts from Language Models

Mengchen Liu, Qixiu Li, Dongdong Chen +3

With the release of GPT-4V(O), its use in generating pseudo labels for multi-modality tasks has gained significant popularity. However, it is still a secret how to build such advan…