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Found 6 papers, 2 papers with code
Rotation Averaging: A Primal-Dual Method and Closed-Forms in Cycle Graphs
A cornerstone of geometric reconstruction, rotation averaging seeks the set of absolute rotations that optimally explains a set of measured relative orientations between them.
Learning Visual-Semantic Subspace Representations for Propositional Reasoning
Learning representations that capture rich semantic relationships and accommodate propositional calculus poses a significant challenge.
2D Image head pose estimation via latent space regression under occlusion settings
Head orientation is a challenging Computer Vision problem that has been extensively researched having a wide variety of applications.
Ranked #7 on
Head Pose Estimation
on BIWI
Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin
Recent research in representation learning has shown that hierarchical data lends itself to low-dimensional and highly informative representations in hyperbolic space.
Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs
A cornerstone of geometric reconstruction, rotation averaging seeks the set of absolute rotations that optimally explains a set of measured relative orientations between them.
LocDyn: Robust Distributed Localization for Mobile Underwater Networks
LocDyn is robust: it rejects outlier noise, while the comparing methods succumb in terms of positioning error.
