67 citations · 189 across the 14 of their papers we have counts for
21 papers
GEFF: Improving Any Clothes-Changing Person ReID Model using Gallery Enrichment with Face Features
Daniel Arkushin, Bar Cohen, Shmuel Peleg +1
In the Clothes-Changing Re-Identification (CC-ReID) problem, given a query sample of a person, the goal is to determine the correct identity based on a labeled gallery in which the…
Deep Audio Waveform Prior
Arnon Turetzky, Tzvi Michelson, Yossi Adi +1
Convolutional neural networks contain strong priors for generating natural looking images [1]. These priors enable image denoising, super resolution, and inpainting in an unsupervi…
A Peek at Peak Emotion Recognition
Tzvi Michelson, Hillel Aviezer, Shmuel Peleg
Despite much progress in the field of facial expression recognition, little attention has been paid to the recognition of peak emotion. Aviezer et al. [1] showed that humans have t…
Audio-Visual Evaluation of Oratory Skills
Tzvi Michelson, Shmuel Peleg
What makes a talk successful? Is it the content or the presentation? We try to estimate the contribution of the speaker's oratory skills to the talk's success, while ignoring the c…
Membership Inference Attacks are Easier on Difficult Problems
Avital Shafran, Shmuel Peleg, Yedid Hoshen
Membership inference attacks (MIA) try to detect if data samples were used to train a neural network model, e.g. to detect copyright abuses. We show that models with higher dimensi…
Crypto-Oriented Neural Architecture Design
Avital Shafran, Gil Segev, Shmuel Peleg +1
As neural networks revolutionize many applications, significant privacy conflicts between model users and providers emerge. The cryptography community developed a variety of techni…
Dynamic Temporal Alignment of Speech to Lips
Tavi Halperin, Ariel Ephrat, Shmuel Peleg
Many speech segments in movies are re-recorded in a studio during postproduction, to compensate for poor sound quality as recorded on location. Manual alignment of the newly-record…
Visual Speech Enhancement
Aviv Gabbay, Asaph Shamir, Shmuel Peleg
When video is shot in noisy environment, the voice of a speaker seen in the video can be enhanced using the visible mouth movements, reducing background noise. While most existing…
Improved Speech Reconstruction from Silent Video
Ariel Ephrat, Tavi Halperin, Shmuel Peleg
Speechreading is the task of inferring phonetic information from visually observed articulatory facial movements, and is a notoriously difficult task for humans to perform. In this…
Seeing Through Noise: Visually Driven Speaker Separation and Enhancement
Aviv Gabbay, Ariel Ephrat, Tavi Halperin +1
Isolating the voice of a specific person while filtering out other voices or background noises is challenging when video is shot in noisy environments. We propose audio-visual meth…
Vid2speech: Speech Reconstruction from Silent Video
Ariel Ephrat, Shmuel Peleg
Speechreading is a notoriously difficult task for humans to perform. In this paper we present an end-to-end model based on a convolutional neural network (CNN) for generating an in…
Fundamental Matrices from Moving Objects Using Line Motion Barcodes
Yoni Kasten, Gil Ben-Artzi, Shmuel Peleg +1
Computing the epipolar geometry between cameras with very different viewpoints is often very difficult. The appearance of objects can vary greatly, and it is difficult to find corr…
EgoSampling: Wide View Hyperlapse from Egocentric Videos
Tavi Halperin, Yair Poleg, Chetan Arora +1
The possibility of sharing one's point of view makes use of wearable cameras compelling. These videos are often long, boring and coupled with extreme shake, as the camera is worn o…
Epipolar Geometry Based On Line Similarity
Gil Ben-Artzi, Tavi Halperin, Michael Werman +1
It is known that epipolar geometry can be computed from three epipolar line correspondences but this computation is rarely used in practice since there are no simple methods to fin…
Camera Calibration from Dynamic Silhouettes Using Motion Barcodes
Gil Ben-Artzi, Yoni Kasten, Shmuel Peleg +1
Computing the epipolar geometry between cameras with very different viewpoints is often problematic as matching points are hard to find. In these cases, it has been proposed to use…
Visual Learning of Arithmetic Operations
Yedid Hoshen, Shmuel Peleg
A simple Neural Network model is presented for end-to-end visual learning of arithmetic operations from pictures of numbers. The input consists of two pictures, each showing a 7-di…
Live Video Synopsis for Multiple Cameras
Yedid Hoshen, Shmuel Peleg
Video surveillance cameras generate most of recorded video, and there is far more recorded video than operators can watch. Much progress has recently been made using summarization…
Compact CNN for Indexing Egocentric Videos
Yair Poleg, Ariel Ephrat, Shmuel Peleg +1
While egocentric video is becoming increasingly popular, browsing it is very difficult. In this paper we present a compact 3D Convolutional Neural Network (CNN) architecture for lo…
EgoSampling: Fast-Forward and Stereo for Egocentric Videos
Yair Poleg, Tavi Halperin, Chetan Arora +1
While egocentric cameras like GoPro are gaining popularity, the videos they capture are long, boring, and difficult to watch from start to end. Fast forwarding (i.e. frame sampling…
Event Retrieval Using Motion Barcodes
Gil Ben-Artzi, Michael Werman, Shmuel Peleg
We introduce a simple and effective method for retrieval of videos showing a specific event, even when the videos of that event were captured from significantly different viewpoint…
An Egocentric Look at Video Photographer Identity
Yedid Hoshen, Shmuel Peleg
Egocentric cameras are being worn by an increasing number of users, among them many security forces worldwide. GoPro cameras already penetrated the mass market, reporting substanti…