Image reconstruction from dense binary pixels. - Or Litany; Tal Remez; Alexander M. Bronstein (CoRR, 2015)

Spatially Coherent Random Forests. - Tal Remez; Shai Avidan (CoRR, 2015)

A Picture is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Pixels. - Tal Remez; Or Litany; Alexander M. Bronstein (CoRR, 2015)

A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels. - Tal Remez; Or Litany; Alexander M. Bronstein (ICCP, 2016)

Cloud Dictionary: Sparse Coding and Modeling for Point Clouds. - Or Litany; Tal Remez; Alexander M. Bronstein (CoRR, 2016)

FPGA system for real-time computational extended depth of field imaging using phase aperture coding. - Tal Remez; Or Litany; Shachar Yoseff; Harel Haim; Alexander M. Bronstein (CoRR, 2016)

Efficient Deformable Shape Correspondence via Kernel Matching. - Matthias Vestner; Zorah Lähner; Amit Boyarski; Or Litany; Ron Slossberg; Tal Remez; Emanuele Rodolà; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel; Daniel Cremers (3DV, 2017)

Deep Functional Maps: Structured Prediction for Dense Shape Correspondence. - Or Litany; Tal Remez; Emanuele Rodolà; Alexander M. Bronstein; Michael M. Bronstein (ICCV, 2017)

Deep class-aware image denoising. - Tal Remez; Or Litany; Raja Giryes; Alexander M. Bronstein (ICIP, 2017)

White Matter Fiber Representation Using Continuous Dictionary Learning. - Guy Alexandroni; Yana Podolsky; Hayit Greenspan; Tal Remez; Or Litany; Alexander M. Bronstein; Raja Giryes (MICCAI (1), 2017)

Deep Convolutional Denoising of Low-Light Images. - Tal Remez; Or Litany; Raja Giryes; Alexander M. Bronstein (CoRR, 2017)

Deep Class Aware Denoising. - Tal Remez; Or Litany; Raja Giryes; Alexander M. Bronstein (CoRR, 2017)

ASIST: Automatic semantically invariant scene transformation. - Or Litany; Tal Remez; Daniel Freedman; Lior Shapira; Alexander M. Bronstein; Ran Gal (Comput. Vis. Image Underst., 2017)

Learning to Segment via Cut-and-Paste. - Tal Remez; Jonathan Huang; Matthew Brown 001 (ECCV (7), 2018)

Class-Aware Fully Convolutional Gaussian and Poisson Denoising. - Tal Remez; Or Litany; Raja Giryes; Alexander M. Bronstein (IEEE Trans. Image Process., 2018)

Shape Correspondence with Isometric and Non-Isometric Deformations. - Roberto M. Dyke; C. Stride; Yu-Kun Lai; Paul L. Rosin; Mathieu Aubry; Amit Boyarski; Alexander M. Bronstein; Michael M. Bronstein; Daniel Cremers; Matthew Fisher; Thibault Groueix; Daoliang Guo; et al. (3DOR@Eurographics, 2019)

Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds. - Efthymios Tzinis; Scott Wisdom; Aren Jansen; Shawn Hershey; Tal Remez; Dan Ellis; John R. Hershey (ICLR, 2021)

Improving On-Screen Sound Separation for Open Domain Videos with Audio-Visual Self-attention. - Efthymios Tzinis; Scott Wisdom; Tal Remez; John R. Hershey (CoRR, 2021)

Translatotron 2: Robust direct speech-to-speech translation. - Ye Jia; Michelle Tadmor Ramanovich; Tal Remez; Roi Pomerantz (CoRR, 2021)

More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech. - Michael Hassid; Michelle Tadmor Ramanovich; Brendan Shillingford; Miaosen Wang; Ye Jia; Tal Remez (CVPR, 2022)

AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation. - Efthymios Tzinis; Scott Wisdom; Tal Remez; John R. Hershey (ECCV (37), 2022)

Translatotron 2: High-quality direct speech-to-speech translation with voice preservation. - Ye Jia; Michelle Tadmor Ramanovich; Tal Remez; Roi Pomerantz (ICML, 2022)

ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement. - Wei-Ning Hsu; Tal Remez; Bowen Shi; Jacob Donley; Yossi Adi (CoRR, 2022)

ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Regeneration. - Wei-Ning Hsu; Tal Remez; Bowen Shi; Jacob Donley; Yossi Adi (CVPR, 2023)

Expresso: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis. - Tu Anh Nguyen; Wei-Ning Hsu; Antony D'Avirro; Bowen Shi; Itai Gat; Maryam Fazel-Zarandi; Tal Remez; Jade Copet; Gabriel Synnaeve; Michael Hassid; Felix Kreuk; Yossi Adi; et al. (INTERSPEECH, 2023)

Simple and Controllable Music Generation. - Jade Copet; Felix Kreuk; Itai Gat; Tal Remez; David Kant; Gabriel Synnaeve; Yossi Adi; Alexandre Défossez (NeurIPS, 2023)

Textually Pretrained Speech Language Models. - Michael Hassid; Tal Remez; Tu Anh Nguyen; Itai Gat; Alexis Conneau; Felix Kreuk; Jade Copet; Alexandre Défossez; Gabriel Synnaeve; Emmanuel Dupoux; Roy Schwartz 001; Yossi Adi (NeurIPS, 2023)

Code Llama: Open Foundation Models for Code. - Baptiste Rozière; Jonas Gehring; Fabian Gloeckle; Sten Sootla; Itai Gat; Xiaoqing Ellen Tan; Yossi Adi; Jingyu Liu; Tal Remez; Jérémy Rapin; Artyom Kozhevnikov; Ivan Evtimov; et al. (CoRR, 2023)

Masked Audio Generation using a Single Non-Autoregressive Transformer. - Alon Ziv; Itai Gat; Gaël Le Lan; Tal Remez; Felix Kreuk; Jade Copet; Alexandre Défossez; Gabriel Synnaeve; Yossi Adi (ICLR, 2024)

Discrete Flow Matching. - Itai Gat; Tal Remez; Neta Shaul; Felix Kreuk; Ricky T. Q. Chen; Gabriel Synnaeve; Yossi Adi; Yaron Lipman (NeurIPS, 2024)

The Larger the Better? Improved LLM Code-Generation via Budget Reallocation. - Michael Hassid; Tal Remez; Jonas Gehring; Roy Schwartz 001; Yossi Adi (CoRR, 2024)