Follow
Tal Remez
Title
Cited by
Cited by
Year
Deep functional maps: Structured prediction for dense shape correspondence
O Litany, T Remez, E Rodola, A Bronstein, M Bronstein
Proceedings of the IEEE international conference on computer vision, 5659-5667, 2017
1842017
Learning to segment via cut-and-paste
T Remez, J Huang, M Brown
Proceedings of the European conference on computer vision (ECCV), 37-52, 2018
772018
Efficient deformable shape correspondence via kernel matching
M Vestner, Z Lähner, A Boyarski, O Litany, R Slossberg, T Remez, ...
2017 International Conference on 3D Vision (3DV), 517-526, 2017
632017
Deep convolutional denoising of low-light images
T Remez, O Litany, R Giryes, AM Bronstein
arXiv preprint arXiv:1701.01687, 2017
612017
System and methods for risk management analysis of a pressure sensing system
AB Shalom, S Hanassy, L Greenstein, T Remez
US Patent App. 14/372,030, 2014
612014
Deep class-aware image denoising
T Remez, O Litany, R Giryes, AM Bronstein
2017 international conference on sampling theory and applications (SampTA …, 2017
602017
Class-aware fully convolutional Gaussian and Poisson denoising
T Remez, O Litany, R Giryes, AM Bronstein
IEEE Transactions on Image Processing 27 (11), 5707-5722, 2018
592018
Pressure sensor assembly and associated method for preventing the development of pressure injuries
D Weiss, R Poliakine-Baruchi, AB Shalom, L Greenstein, Y Assouline, ...
US Patent App. 13/881,169, 2013
422013
Into the wild with audioscope: Unsupervised audio-visual separation of on-screen sounds
E Tzinis, S Wisdom, A Jansen, S Hershey, T Remez, DPW Ellis, ...
arXiv preprint arXiv:2011.01143, 2020
262020
A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels
T Remez, O Litany, A Bronstein
2016 IEEE International Conference on Computational Photography (ICCP), 1-9, 2016
20*2016
Translatotron 2: High-quality direct speech-to-speech translation with voice preservation
Y Jia, MT Ramanovich, T Remez, R Pomerantz
International Conference on Machine Learning, 10120-10134, 2022
152022
Efficient deformable shape correspondence via kernel matching
Z Lähner, M Vestner, A Boyarski, O Litany, R Slossberg, T Remez, ...
arXiv preprint arXiv:1707.08991, 2017
112017
Asist: automatic semantically invariant scene transformation
O Litany, T Remez, D Freedman, L Shapira, A Bronstein, R Gal
Computer Vision and Image Understanding 157, 284-299, 2017
112017
Cloud dictionary: Sparse coding and modeling for point clouds
O Litany, T Remez, A Bronstein
arXiv preprint arXiv:1612.04956, 2016
92016
Shape correspondence with isometric and non-isometric deformations
RM Dyke, C Stride, YK Lai, PL Rosin, M Aubry, A Boyarski, AM Bronstein, ...
The Eurographics Association, 2019
82019
Methods and systems for the manufacture and initiation of a pressure detection mat
TN Remez, AB Shalom, GY Averbuch
US Patent 9,671,304, 2017
82017
System and method for rapid data collection from pressure sensors in a pressure sensing system
AB Shalom, I Raab, TN Remez, BB David, D Weiss, R Poliakine, ...
US Patent 9,513,177, 2016
72016
Improving On-Screen Sound Separation for Open-Domain Videos with Audio-Visual Self-Attention
E Tzinis, S Wisdom, T Remez, JR Hershey
arXiv preprint arXiv:2106.09669, 2021
62021
Or Litany, Raja Giryes, and Alex M Bronstein. Deep class-aware image denoising
T Remez
2017 international conference on sampling theory and applications (SampTA …, 0
5
White matter fiber representation using continuous dictionary learning
G Alexandroni, Y Podolsky, H Greenspan, T Remez, O Litany, A Bronstein, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
42017
The system can't perform the operation now. Try again later.
Articles 1–20