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Found 5 papers, 0 papers with code
Learning Structure-from-Motion with Graph Attention Networks
In this paper we tackle the problem of learning Structure-from-Motion (SfM) through the use of graph attention networks.
Rigidity Preserving Image Transformations and Equivariance in Perspective
We characterize the class of image plane transformations which realize rigid camera motions and call these transformations `rigidity preserving'.
On the Tightness of Semidefinite Relaxations for Rotation Estimation
In studying the empirical performance we note that there are few failure cases reported in the literature, in particular for estimation problems with a single rotation, motivating us to gain further theoretical understanding.
Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors
In recent years, considerable progress has been made for the task of rigid object pose estimation from a single RGB-image, but achieving robustness to partial occlusions remains a challenging problem.
Ranked #5 on
6D Pose Estimation using RGB
on Occlusion LineMOD
Semantic Match Consistency for Long-Term Visual Localization
Robust and accurate visual localization across large appearance variations due to changes in time of day, seasons, or changes of the environment is a challenging problem which is of importance to application areas such as navigation of autonomous robots.
