1 citations · 1 across the 2 of their papers we have counts for
8 papers
Best Buddies Registration for Point Clouds
Amnon Drory, Tal Shomer, Shai Avidan +1
We propose new, and robust, loss functions for the point cloud registration problem. Our loss functions are inspired by the Best Buddies Similarity (BBS) measure that counts the nu…
Co-occurrence Based Texture Synthesis
Anna Darzi, Itai Lang, Ashutosh Taklikar +2
As image generation techniques mature, there is a growing interest in explainable representations that are easy to understand and intuitive to manipulate. In this work, we turn to…
Proximity Preserving Binary Code using Signed Graph-Cut
Inbal Lav, Shai Avidan, Yoram Singer +1
We introduce a binary embedding framework, called Proximity Preserving Code (PPC), which learns similarity and dissimilarity between data points to create a compact and affinity-pr…
Deep Image Compression using Decoder Side Information
Sharon Ayzik, Shai Avidan
We present a Deep Image Compression neural network that relies on side information, which is only available to the decoder. We base our algorithm on the assumption that the image a…
Graph Embedded Pose Clustering for Anomaly Detection
Amir Markovitz, Gilad Sharir, Itamar Friedman +2
We propose a new method for anomaly detection of human actions. Our method works directly on human pose graphs that can be computed from an input video sequence. This makes the ana…
SampleNet: Differentiable Point Cloud Sampling
Itai Lang, Asaf Manor, Shai Avidan
There is a growing number of tasks that work directly on point clouds. As the size of the point cloud grows, so do the computational demands of these tasks. A possible solution is…