3 papers
cs.CV2024
EgoLifter: Open-world 3D Segmentation for Egocentric Perception
Qiao Gu, Zhaoyang Lv, Duncan Frost +3
In this paper we present EgoLifter, a novel system that can automatically segment scenes captured from egocentric sensors into a complete decomposition of individual 3D objects. Th…
cs.CV2024
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…
cs.RO2024
STT: Stateful Tracking with Transformers for Autonomous Driving
Longlong Jing, Ruichi Yu, Xu Chen +19
Tracking objects in three-dimensional space is critical for autonomous driving. To ensure safety while driving, the tracker must be able to reliably track objects across frames and…