activity
20232026
most citedAria Everyday Activities Dataset

2 citations · 5 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

12 papers · 1 filter

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

Benchmarking Egocentric Visual-Inertial SLAM at City Scale

Anusha Krishnan, Shaohui Liu, Paul-Edouard Sarlin +6

Precise 6-DoF simultaneous localization and mapping (SLAM) from onboard sensors is critical for wearable devices capturing egocentric data, which exhibits specific challenges, such…

cs.CV2025

Photoreal Scene Reconstruction from an Egocentric Device

Zhaoyang Lv, Maurizio Monge, Ka Chen +5

In this paper, we investigate the challenges associated with using egocentric devices to photorealistic reconstruct the scene in high dynamic range. Existing methodologies typicall…

cs.CV2025

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…

cs.CV2025

Human-in-the-Loop Local Corrections of 3D Scene Layouts via Infilling

Christopher Xie, Armen Avetisyan, Henry Howard-Jenkins +5

We present a novel human-in-the-loop approach to estimate 3D scene layout that uses human feedback from an egocentric standpoint. We study this approach through introduction of a n…