3 papers
cs.RO2026
FASTER: Rethinking Real-Time Flow VLAs
Yuxiang Lu, Zhe Liu, Xianzhe Fan +5
Real-time execution is crucial for deploying Vision-Language-Action (VLA) models in the physical world. Existing asynchronous inference methods primarily optimize trajectory smooth…
cs.CV2025
UniLION: Towards Unified Autonomous Driving Model with Linear Group RNNs
Zhe Liu, Jinghua Hou, Xiaoqing Ye +3
Although transformers have demonstrated remarkable capabilities across various domains, their quadratic attention mechanisms introduce significant computational overhead when proce…
cs.CV2025
HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation
Xinyu Wang, Jinghua Hou, Zhe Liu +1
Transformer-based methods have demonstrated remarkable capabilities in 3D semantic segmentation through their powerful attention mechanisms, but the quadratic complexity limits the…