2 citations · 3 across the 5 of their papers we have counts for
7 papers
Person Recognition using Facial Micro-Expressions with Deep Learning
Tuval Kay, Yuval Ringel, Khen Cohen +2
This study investigates the efficacy of facial micro-expressions as a soft biometric for enhancing person recognition, aiming to broaden the understanding of the subject and its po…
Temporal Super-Resolution using Multi-Channel Illumination Source
Khen Cohen, Dan Raviv, David Mendlovic
While sensing in high temporal resolution is necessary for wide range of application, it is still limited nowadays due to cameras sampling rate. In this work we try to increase the…
Illumination-Based Color Reconstruction for the Dynamic Vision Sensor
Khen Cohen, Omer Hershko, Homer Levy +2
This work demonstrates a novel, state of the art method to reconstruct colored images via the Dynamic Vision Sensor (DVS). The DVS is an image sensor that indicates only a binary c…
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…
Deep Sparse Light Field Refocusing
Shachar Ben Dayan, David Mendlovic, Raja Giryes
Light field photography enables to record 4D images, containing angular information alongside spatial information of the scene. One of the important applications of light field ima…
Face Authentication from Grayscale Coded Light Field
Dana Weitzner, David Mendlovic, Raja Giryes
Face verification is a fast-growing authentication tool for everyday systems, such as smartphones. While current 2D face recognition methods are very accurate, it has been suggeste…
Fast and Accurate Reconstruction of Compressed Color Light Field
Ofir Nabati, David Mendlovic, Raja Giryes
Light field photography has been studied thoroughly in recent years. One of its drawbacks is the need for multi-lens in the imaging. To compensate that, compressed light field phot…