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2020 – today
- 2024
[c12]Miri Varshavsky-Hassid, Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin:
On the Semantic Latent Space of Diffusion-Based Text-To-Speech Models. ACL (Short Papers) 2024: 246-255- [c11]Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano:
Early Time Classification with Accumulated Accuracy Gap Control. ICML 2024 - [c10]Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin:
Random Walks for Temporal Action Segmentation with Timestamp Supervision. WACV 2024: 6600-6610 - [i13]Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano:
Early Time Classification with Accumulated Accuracy Gap Control. CoRR abs/2402.00857 (2024) - [i12]Miri Varshavsky-Hassid
, Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin:
On the Semantic Latent Space of Diffusion-Based Text-to-Speech Models. CoRR abs/2402.12423 (2024) - [i11]Omer Belhasin, Idan Kligvasser, George Leifman, Regev Cohen, Erin Rainaldi, Li-Fang Cheng, Nishant Verma, Paul Varghese, Ehud Rivlin, Michael Elad:
Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models. CoRR abs/2405.11566 (2024) - [i10]Regev Cohen, Idan Kligvasser, Ehud Rivlin, Daniel Freedman:
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models. CoRR abs/2405.16475 (2024) - [i9]Idan Kligvasser, Regev Cohen, George Leifman, Ehud Rivlin, Michael Elad:
Anchored Diffusion for Video Face Reenactment. CoRR abs/2407.15153 (2024) - 2023
- [c9]Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin:
Self-supervised Learning for Endoscopic Video Analysis. MICCAI (5) 2023: 569-578 - [c8]Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman, Ehud Rivlin:
Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging. TML4H 2023: 163-176 - [i8]Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin:
Self-Supervised Learning for Endoscopic Video Analysis. CoRR abs/2308.12394 (2023) - [i7]Roy Hirsch, Regev Cohen, Mathilde Caron, Tomer Golany, Daniel Freedman, Ehud Rivlin:
Weakly-Supervised Surgical Phase Recognition. CoRR abs/2310.17209 (2023) - 2022
- [c7]Liran Katzir, Danny Veikherman, Valentin Dashinsky, Roman Goldenberg, Ilan Shimshoni, Nadav Rabani, Regev Cohen, Ori Kelner, Ehud Rivlin, Daniel Freedman:
Estimating Withdrawal Time in Colonoscopies. ECCV Workshops (3) 2022: 495-512 - [i6]Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman:
What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems. CoRR abs/2211.15211 (2022) - 2021
- [j5]Regev Cohen, Michael Elad, Peyman Milanfar:
Regularization by Denoising via Fixed-Point Projection (RED-PRO). SIAM J. Imaging Sci. 14(3): 1374-1406 (2021) - [c6]Regev Cohen, Yochai Blau, Daniel Freedman, Ehud Rivlin:
It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems. NeurIPS 2021: 18152-18164 - 2020
- [j4]Ruud J. G. van Sloun, Regev Cohen, Yonina C. Eldar:
Deep Learning in Ultrasound Imaging. Proc. IEEE 108(1): 11-29 (2020) - [j3]Oren Solomon, Regev Cohen, Yi Zhang, Yi Yang, Qiong He, Jianwen Luo, Ruud J. G. van Sloun, Yonina C. Eldar:
Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound. IEEE Trans. Medical Imaging 39(4): 1051-1063 (2020) - [j2]Ben Luijten, Regev Cohen, Frederik J. de Bruijn, Harold A. W. Schmeitz, Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun:
Adaptive Ultrasound Beamforming Using Deep Learning. IEEE Trans. Medical Imaging 39(12): 3967-3978 (2020) - [j1]Regev Cohen, Yonina C. Eldar:
Sparse Array Design via Fractal Geometries. IEEE Trans. Signal Process. 68: 4797-4812 (2020) - [i5]Regev Cohen, Michael Elad, Peyman Milanfar:
Regularization by Denoising via Fixed-Point Projection (RED-PRO). CoRR abs/2008.00226 (2020)
2010 – 2019
- 2019
- [c5]Ben Luijten, Regev Cohen, Frederik J. de Bruijn, Harold A. W. Schmeitz, Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun:
Deep Learning for Fast Adaptive Beamforming. ICASSP 2019: 1333-1337 - [c4]Regev Cohen, Yi Zhang, Oren Solomon, Daniel Toberman, Liran Taieb, Ruud J. G. van Sloun, Yonina C. Eldar:
Deep Convolutional Robust PCA with Application to Ultrasound Imaging. ICASSP 2019: 3212-3216 - [c3]Regev Cohen, Yonina C. Eldar:
Sparse Fractal Array Design with Increased Degrees of Freedom. ICASSP 2019: 4195-4199 - [i4]Ruud J. G. van Sloun, Regev Cohen, Yonina C. Eldar:
Deep learning in ultrasound imaging. CoRR abs/1907.02994 (2019) - 2018
- [c2]Regev Cohen, Yonina C. Eldar:
Optimized Sparse Array Design Based on the Sum Coarray. ICASSP 2018: 3340-3343 - [i3]Regev Cohen, Yonina C. Eldar:
Sparse Convolutional Beamforming for Ultrasound Imaging. CoRR abs/1805.05101 (2018) - [i2]Oren Solomon, Regev Cohen, Yi Zhang, Yi Yang, Qiong He, Jianwen Luo, Ruud J. G. van Sloun, Yonina C. Eldar:
Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound. CoRR abs/1811.08252 (2018) - 2017
- [c1]Regev Cohen, Yonina C. Eldar:
Sparse emission pattern in spectral blood Doppler. ISBI 2017: 907-910 - [i1]Regev Cohen, Yonina C. Eldar:
Sparse Doppler Sensing. CoRR abs/1710.00542 (2017)
Coauthor Index
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last updated on 2024-10-13 18:00 CEST by the dblp team
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