Media Summary: We propose a keypoint-based object-level SLAM framework that can provide globally consistent 6DoF Special thanks to Nathan Lepora, the author of the We propose a general self-supervised approach to learn neural models that solve spatial perception tasks, such as
Uncertainty Aware Camera Pose Estimation - Detailed Analysis & Overview
We propose a keypoint-based object-level SLAM framework that can provide globally consistent 6DoF Special thanks to Nathan Lepora, the author of the We propose a general self-supervised approach to learn neural models that solve spatial perception tasks, such as Abstract: We introduce UPose3D, a novel approach for multi-view 3D human CVPR-WS 2026 "Turntable-Constrained Camera Pose Estimation" Learning-based structure-from-motion methods such as ACE-Zero have demonstrated strong performance in
Authors: Arthur Moreau (Mines ParisTech - PSL University)*; Nathan Piasco (Huawei France); Dzmitry Tsishkou (Huawei France); ... Authors: Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu ... To access the full paper and code, follow this link: paper : Accepted for publication at WACV 2022. Authors : Arthur Moreau, Nathan Piasco, ... Fusing the Old with the New: Learning Relative This is an introduction video of our CVPR 2026 paper, COG: Confidence-
7 Alexander Vakhitov Camera Pose Estimation from Line and Point Correspondences