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Found 6 papers, 3 papers with code
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization
Monocular 3D object localization in driving scenes is a crucial task, but challenging due to its ill-posed nature.
Geometric Viewpoint Learning with Hyper-Rays and Harmonics Encoding
1) We propose a generalized viewpoint representation forgoing the analysis of photometric pixels in favor of encoded viewing ray embeddings attained from point cloud learning frameworks.
General Planar Motion from a Pair of 3D Correspondences
Instead, we enforce geometric constraints identifying, in closed-form, a unique planar motion solution from an orbital set of geometrically consistent SE(3) motion estimates.
LASER: LAtent SpacE Rendering for 2D Visual Localization
LASER introduces the concept of latent space rendering, where 2D pose hypotheses on the floor map are directly rendered into a geometrically-structured latent space by aggregating viewing ray features.
VOLDOR-SLAM: For the Times When Feature-Based or Direct Methods Are Not Good Enough
We present a dense-indirect SLAM system using external dense optical flows as input.
VOLDOR: Visual Odometry from Log-logistic Dense Optical flow Residuals
We propose a dense indirect visual odometry method taking as input externally estimated optical flow fields instead of hand-crafted feature correspondences.
