2 citations · 2 across the 7 of their papers we have counts for
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cs.CV2026
ABot-M0.5: Unified Mobility-and-Manipulation World Action Model
Ronghan Chen, Yandan Yang, Zuojin Tang +18
Mobile manipulation is a key capability for general-purpose robots, yet remains challenging for current embodied learning methods. VLA policies are typically reactive and lack expl…
cs.CV2026
One Token Per Frame: Reconsidering Visual Bandwidth in World Models for VLA Policy
Zuojin Tang, Shengchao Yuan, Xiaoxin Bai +4
Vision-language-action (VLA) models can use visual prediction to anticipate future states, but dense visual features make the generative sequence grow with the number of camera vie…
cs.CV2023★ 2 cited
Weakly Supervised Point Clouds Transformer for 3D Object Detection
Zuojin Tang, Bo Sun, Tongwei Ma +2
The annotation of 3D datasets is required for semantic-segmentation and object detection in scene understanding. In this paper we present a framework for the weakly supervision of…