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20232026
most citedGeoDeformer: Geometric Deformable Transformer for Action Recognition

1 citations · 3 across the 20 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.RO2024

GLOVER: Generalizable Open-Vocabulary Affordance Reasoning for Task-Oriented Grasping

Teli Ma, Zifan Wang, Jiaming Zhou +2

Inferring affordable (i.e., graspable) parts of arbitrary objects based on human specifications is essential for robots advancing toward open-vocabulary manipulation. Current grasp…

cs.RO2024

Contrastive Imitation Learning for Language-guided Multi-Task Robotic Manipulation

Teli Ma, Jiaming Zhou, Zifan Wang +2

Developing robots capable of executing various manipulation tasks, guided by natural language instructions and visual observations of intricate real-world environments, remains a s…

cs.CV2024

Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation

Jiaming Zhou, Teli Ma, Kun-Yu Lin +3

Learning generalizable visual representations across different embodied environments is essential for effective robotic manipulation in real-world scenarios. However, the limited s…

cs.CV2024★ 1 cited

Prioritized Semantic Learning for Zero-shot Instance Navigation

Xinyu Sun, Lizhao Liu, Hongyan Zhi +2

We study zero-shot instance navigation, in which the agent navigates to a specific object without using object annotations for training. Previous object navigation approaches apply…

cs.CV2024★ 1 cited

ActionHub: A Large-scale Action Video Description Dataset for Zero-shot Action Recognition

Jiaming Zhou, Junwei Liang, Kun-Yu Lin +2

Zero-shot action recognition (ZSAR) aims to learn an alignment model between videos and class descriptions of seen actions that is transferable to unseen actions. The text queries…