EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization @Ego4D challenge 2023
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Abstract (arXiv)
We present EgoCOL, an egocentric camera pose estimation method for open-world 3D object localization. Our method leverages sparse camera pose reconstructions in a two-fold manner, video and scan independently, to estimate the camera pose of egocentric frames in 3D renders with high recall and precision. We extensively evaluate our method on the Visual Query (VQ) 3D object localization Ego4D benchmark. EgoCOL can estimate 62% and 59% more camera poses than the Ego4D baseline in the Ego4D Visual Queries 3D Localization challenge at CVPR 2023 in the val and test sets, respectively. Our code is publicly available at https://github.com/BCV-Uniandes/EgoCOL
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 31 of its 41 references that are in the map. First posted on arXiv 29 Jun 2023.
Builds on
31 of 41 references.
References · 31
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19 more
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- 2021Group-Free 3D Object Detection via Transformerscited by 215
- 2021Anticipative Video Transformercited by 200
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Built on by
Citing papers per year: 2024: 1; 2025: 1; 2026: 1.
3 papers.
- 2025EAGLE: Episodic Appearance- and Geometry-aware Memory for Unified 2D-3D Visual Query Localization in Egocentric Visioncited by 3
- 2024Hybrid Structure-from-Motion and Camera Relocalization for Enhanced Egocentric Localizationcited by 1
- 2026EgoHieraLoc: A Cortically Inspired Hierarchical Segmentation-Guided Framework for Egocentric Visual Query Localizationcited by 0
- 2026EgoHieraLoc: A Cortically Inspired Hierarchical Segmentation-Guided Framework for Egocentric Visual Query Localization10 Aug 2026
- 2025EAGLE: Episodic Appearance- and Geometry-aware Memory for Unified 2D-3D Visual Query Localization in Egocentric Vision11 Nov 2025
- 2024Hybrid Structure-from-Motion and Camera Relocalization for Enhanced Egocentric Localization10 Jul 2024