60 citations · 122 across the 27 of their papers we have counts for
22 papers · 1 filter
Estimation of Looming from LiDAR
Juan D. Yepes, Daniel Raviv
Looming, traditionally defined as the relative expansion of objects in the observer's retina, is a fundamental visual cue for perception of threat and can be used to accomplish col…
Deep Confidence Guided Distance for 3D Partial Shape Registration
Dvir Ginzburg, Dan Raviv
We present a novel non-iterative learnable method for partial-to-partial 3D shape registration. The partial alignment task is extremely complex, as it jointly tries to match betwee…
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction
Itai Lang, Dvir Ginzburg, Shai Avidan +1
We present a new method for real-time non-rigid dense correspondence between point clouds based on structured shape construction. Our method, termed Deep Point Correspondence (DPC)…
Deep Weighted Consensus: Dense correspondence confidence maps for 3D shape registration
Dvir Ginzburg, Dan Raviv
We present a new paradigm for rigid alignment between point clouds based on learnable weighted consensus which is robust to noise as well as the full spectrum of the rotation group…
Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point Clouds
Bojun Ouyang, Dan Raviv
Understanding the flow in 3D space of sparsely sampled points between two consecutive time frames is the core stone of modern geometric-driven systems such as VR/AR, Robotics, and…
Skeleon-Based Typing Style Learning For Person Identification
Lior Gelberg, David Mendlovic, Dan Raviv
We present a novel architecture for person identification based on typing-style, constructed of adaptive non-local spatio-temporal graph convolutional network. Since type style dyn…