2 citations · 3 across the 5 of their papers we have counts for
5 papers
Prior based Sampling for Adaptive LiDAR
Amit Shomer, Shai Avidan
We propose SampleDepth, a Convolutional Neural Network (CNN), that is suited for an adaptive LiDAR. Typically,LiDAR sampling strategy is pre-defined, constant and independent of th…
Detecting Moving Regions in CrowdCam Images
Adi Dafni, Yael Moses, Shai Avidan
We address the novel problem of detecting dynamic regions in CrowdCam images, a set of still images captured by a group of people. These regions capture the most interesting parts…
Best-Buddies Tracking
Shaul Oron, Denis Suhanov, Shai Avidan
Best-Buddies Tracking (BBT) applies the Best-Buddies Similarity measure (BBS) to the problem of model-free online tracking. BBS was introduced as a similarity measure between two p…
Best-Buddies Similarity - Robust Template Matching using Mutual Nearest Neighbors
Shaul Oron, Tali Dekel, Tianfan Xue +2
We propose a novel method for template matching in unconstrained environments. Its essence is the Best-Buddies Similarity (BBS), a useful, robust, and parameter-free similarity mea…
Stereo on a budget
Dana Menaker, Shai Avidan
We propose an algorithm for recovering depth using less than two images. Instead of having both cameras send their entire image to the host computer, the left camera sends its imag…