13 citations · 21 across the 7 of their papers we have counts for
7 papers · 1 filter
Aria Gen 2 Pilot Dataset
Chen Kong, James Fort, Aria Kang +20
The Aria Gen 2 Pilot Dataset (A2PD) is an egocentric multimodal open dataset captured using the state-of-the-art Aria Gen 2 glasses. To facilitate timely access, A2PD is released i…
Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception
Xiaqing Pan, Nicholas Charron, Yongqian Yang +6
We introduce the Aria Digital Twin (ADT) - an egocentric dataset captured using Aria glasses with extensive object, environment, and human level ground truth. This ADT release cont…
FroDO: From Detections to 3D Objects
Kejie Li, Martin Rünz, Meng Tang +8
Object-oriented maps are important for scene understanding since they jointly capture geometry and semantics, allow individual instantiation and meaningful reasoning about objects.…
Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning
Chaoyang Wang, Chen Kong, Simon Lucey
We propose to learn a 3D pose estimator by distilling knowledge from Non-Rigid Structure from Motion (NRSfM). Our method uses solely 2D landmark annotations. No 3D data, multi-view…
Deep Non-Rigid Structure from Motion
Chen Kong, Simon Lucey
Current non-rigid structure from motion (NRSfM) algorithms are mainly limited with respect to: (i) the number of images, and (ii) the type of shape variability they can handle. Thi…
Deep Non-Rigid Structure from Motion with Missing Data
Chen Kong, Simon Lucey
Non-Rigid Structure from Motion (NRSfM) refers to the problem of reconstructing cameras and the 3D point cloud of a non-rigid object from an ensemble of images with 2D corresponden…