164 citations · 291 across the 15 of their papers we have counts for
17 papers
Assistant Placement Aria: A Benchmark for Egocentric Placement Assistance
Amir Belder, Gonçalo Dias Pais, Refael Vivanti +5
Human assistance in robotics spans around several tasks such as navigation, object manipulation, and placement, where a key challenge is selecting target destinations that align wi…
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…
ShapeR: Robust Conditional 3D Shape Generation from Casual Captures
Yawar Siddiqui, Duncan Frost, Samir Aroudj +9
Recent advances in 3D shape generation have achieved impressive results, but most existing methods rely on clean, unoccluded, and well-segmented inputs. Such conditions are rarely…
Sonata: Self-Supervised Learning of Reliable Point Representations
Xiaoyang Wu, Daniel DeTone, Duncan Frost +7
In this paper, we question whether we have a reliable self-supervised point cloud model that can be used for diverse 3D tasks via simple linear probing, even with limited data and…
EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models
Julian Straub, Daniel DeTone, Tianwei Shen +3
The advent of wearable computers enables a new source of context for AI that is embedded in egocentric sensor data. This new egocentric data comes equipped with fine-grained 3D loc…