60 citations · 122 across the 27 of their papers we have counts for
11 papers · 2 filters
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…
It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection
Meytal Rapoport-Lavie, Dan Raviv
Modern perception systems in the field of autonomous driving rely on 3D data analysis. LiDAR sensors are frequently used to acquire such data due to their increased resilience to d…
Unsupervised Scale-Invariant Multispectral Shape Matching
Idan Pazi, Dvir Ginzburg, Dan Raviv
Alignment between non-rigid stretchable structures is one of the most challenging tasks in computer vision, as the invariant properties are hard to define, and there is no labeled…
Geometry Enhancements from Visual Content: Going Beyond Ground Truth
Liran Azaria, Dan Raviv
This work presents a new cyclic architecture that extracts high-frequency patterns from images and re-insert them as geometric features. This procedure allows us to enhance the res…
Occlusion Guided Scene Flow Estimation on 3D Point Clouds
Bojun Ouyang, Dan Raviv
3D scene flow estimation is a vital tool in perceiving our environment given depth or range sensors. Unlike optical flow, the data is usually sparse and in most cases partially occ…
Cost Function Unrolling in Unsupervised Optical Flow
Gal Lifshitz, Dan Raviv
Steepest descent algorithms, which are commonly used in deep learning, use the gradient as the descent direction, either as-is or after a direction shift using preconditioning. In…