Regev Cohen

According to our database, Regev Cohen authored at least 29 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Editor's Choice: Evaluating Abstract Intent in Image Editing through Atomic Entity Analysis.

Mor Ventura, Roy Hirsch, Yonatan Bitton, Regev Cohen, Roi Reichart

CoRR, May, 2026

FUSE: Ensembling Verifiers with Zero Labeled Data.

Joonhyuk Lee, Virginia Ma, Sarah Zhao, Yash Nair, Asher Spector, Regev Cohen, Emmanuel J. Candès

CoRR, April, 2026

2025

Beyond the Noise: Aligning Prompts with Latent Representations in Diffusion Models.

Vasco Ramos, Regev Cohen, Idan Szpektor, João Magalhães

CoRR, December, 2025

Latent Beam Diffusion Models for Decoding Image Sequences.

Guilherme Fernandes, Vasco Ramos, Regev Cohen, Idan Szpektor, João Magalhães

CoRR, March, 2025

Anchored Diffusion for Video Face Reenactment.

Idan Kligvasser, Regev Cohen, George Leifman, Ehud Rivlin, Michael Elad

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Streamlining Conformal Information Retrieval via Score Refinement.

Yotam Intrator, Ori Kelner, Regev Cohen, Roman Goldenberg, Ehud Rivlin, Daniel Freedman

CoRR, 2024

Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models.

Omer Belhasin, Idan Kligvasser, George Leifman, Regev Cohen, Erin Rainaldi, Li-Fang Cheng, Nishant Verma, Paul Varghese, Ehud Rivlin, Michael Elad

CoRR, 2024

Random Walks for Temporal Action Segmentation with Timestamp Supervision.

Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models.

Regev Cohen, Idan Kligvasser, Ehud Rivlin, Daniel Freedman

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Early Time Classification with Accumulated Accuracy Gap Control.

Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the Semantic Latent Space of Diffusion-Based Text-To-Speech Models.

Miri Varshavsky-Hassid, Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2024

2023

Weakly-Supervised Surgical Phase Recognition.

Roy Hirsch, Regev Cohen, Mathilde Caron, Tomer Golany, Daniel Freedman, Ehud Rivlin

CoRR, 2023

Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging.

Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman, Ehud Rivlin

Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

Self-supervised Learning for Endoscopic Video Analysis.

Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems.

Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman

CoRR, 2022

Estimating Withdrawal Time in Colonoscopies.

Liran Katzir, Danny Veikherman, Valentin Dashinsky, Roman Goldenberg, Ilan Shimshoni, Nadav Rabani, Regev Cohen, Ori Kelner, Ehud Rivlin, Daniel Freedman

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Regularization by Denoising via Fixed-Point Projection (RED-PRO).

Regev Cohen, Michael Elad, Peyman Milanfar

SIAM J. Imaging Sci., 2021

It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems.

Regev Cohen, Yochai Blau, Daniel Freedman, Ehud Rivlin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Sparse Array Design via Fractal Geometries.

Regev Cohen, Yonina C. Eldar

IEEE Trans. Signal Process., 2020

Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound.

Oren Solomon, Regev Cohen, Yi Zhang, Yi Yang, Qiong He, Jianwen Luo, Ruud J. G. van Sloun, Yonina C. Eldar

IEEE Trans. Medical Imaging, 2020

Adaptive Ultrasound Beamforming Using Deep Learning.

Ben Luijten, Regev Cohen, Frederik J. de Bruijn, Harold A. W. Schmeitz, Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun

IEEE Trans. Medical Imaging, 2020

Deep Learning in Ultrasound Imaging.

Ruud J. G. van Sloun, Regev Cohen, Yonina C. Eldar

Proc. IEEE, 2020

2019

Deep Learning for Fast Adaptive Beamforming.

Ben Luijten, Regev Cohen, Frederik J. de Bruijn, Harold A. W. Schmeitz, Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun

Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Convolutional Robust PCA with Application to Ultrasound Imaging.

Regev Cohen, Yi Zhang, Oren Solomon, Daniel Toberman, Liran Taieb, Ruud J. G. van Sloun, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2019

Sparse Fractal Array Design with Increased Degrees of Freedom.

Regev Cohen, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Sparse Convolutional Beamforming for Ultrasound Imaging.

Regev Cohen, Yonina C. Eldar

CoRR, 2018

Optimized Sparse Array Design Based on the Sum Coarray.

Regev Cohen, Yonina C. Eldar

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Sparse Doppler Sensing.

Regev Cohen, Yonina C. Eldar

CoRR, 2017

Sparse emission pattern in spectral blood Doppler.

Regev Cohen, Yonina C. Eldar

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017