7 papers
HumanCLAW: Can Vision-Language Models Act Through a Body?
Siyao Li, Li Siyao, Jiawei Gu +16
The paper introduces HumanCLAW, a framework that separates decision making of vision‑language models from low‑level motor execution, allowing evaluation of a model's action intelli…
EgoExoMoCap: Distributed Ego-Exo Human Motion Capture
Jiaxi Jiang, Bharat Lal Bhatnagar, Nan Yang +6
Human motion capture from head-mounted devices (HMDs) offers a scalable way to acquire real-world human motion and interaction data, which is crucial for applications in embodied A…
EC: Video Generation with 3D Environmental Memory and Ego-Exo Human Pose Control
Qiao Gu, Lingni Ma, Adam W Harley +3
Controllable and physically grounded egocentric video generation is essential for embodied agents to reason about how their own and others' actions manifest and change the world. C…
LAMP: Localization Aware Multi-camera People Tracking in Metric 3D World
Nan Yang, Julian Straub, Fan Zhang +3
Tracking 3D human motion from egocentric multi-camera headset is challenged by severe egomotion, partial visibility or occlusions and lack of training data. Existing methods design…
Boxer: Robust Lifting of Open-World 2D Bounding Boxes to 3D
Daniel DeTone, Tianwei Shen, Fan Zhang +4
Detecting and localizing objects in space is a fundamental computer vision problem. While much progress has been made to solve 2D object detection, 3D object localization is much l…
NymeriaPlus: Enriching Nymeria Dataset with Additional Annotations and Data
Daniel DeTone, Federica Bogo, Eric-Tuan Le +7
The Nymeria Dataset, released in 2024, is a large-scale collection of in-the-wild human activities captured with multiple egocentric wearable devices that are spatially localized a…