Regev Cohen - RankMe

35 papers A* 3A 2Misc 4Journal 21Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Anchored Diffusion for Video Face Reenactment. WACV Idan Kligvasser, Regev Cohen, George Leifman, Ehud Rivlin, Michael Elad
2025	J	`jnl`	Beyond the Noise: Aligning Prompts with Latent Representations in Diffusion Models. CoRR Vasco Ramos, Regev Cohen, Idan Szpektor, João Magalhães
2025	J	`jnl`	Latent Beam Diffusion Models for Decoding Image Sequences. CoRR Guilherme Fernandes, Vasco Ramos, Regev Cohen, Idan Szpektor, João Magalhães
2024	J	`jnl`	Anchored Diffusion for Video Face Reenactment. CoRR Idan Kligvasser, Regev Cohen, George Leifman, Ehud Rivlin, Michael Elad
2024	A*	`conf`	Early Time Classification with Accumulated Accuracy Gap Control. ICML Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano
2024	J	`jnl`	Early Time Classification with Accumulated Accuracy Gap Control. CoRR Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano
2024	A*	`conf`	Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models. NeurIPS Regev Cohen, Idan Kligvasser, Ehud Rivlin, Daniel Freedman
2024	J	`jnl`	Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models. CoRR Regev Cohen, Idan Kligvasser, Ehud Rivlin, Daniel Freedman
2024	—	`conf`	On the Semantic Latent Space of Diffusion-Based Text-To-Speech Models. ACL (Short Papers) Miri Varshavsky-Hassid, Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin
2024	J	`jnl`	On the Semantic Latent Space of Diffusion-Based Text-to-Speech Models. CoRR Miri Varshavsky-Hassid, Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin
2024	A	`conf`	Random Walks for Temporal Action Segmentation with Timestamp Supervision. WACV Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin
2024	J	`jnl`	Streamlining Conformal Information Retrieval via Score Refinement. CoRR Yotam Intrator, Ori Kelner, Regev Cohen, Roman Goldenberg, Ehud Rivlin, Daniel Freedman
2024	J	`jnl`	Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models. CoRR Omer Belhasin, Idan Kligvasser, George Leifman, Regev Cohen, Erin Rainaldi, Li-Fang Cheng, Nishant Verma, Paul Varghese, Ehud Rivlin, Michael Elad
2023	—	`conf`	Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging. TML4H Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman, Ehud Rivlin
2023	J	`jnl`	Self-Supervised Learning for Endoscopic Video Analysis. CoRR Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin
2023	—	`conf`	Self-supervised Learning for Endoscopic Video Analysis. MICCAI (5) Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin
2023	J	`jnl`	Weakly-Supervised Surgical Phase Recognition. CoRR Roy Hirsch, Regev Cohen, Mathilde Caron, Tomer Golany, Daniel Freedman, Ehud Rivlin
2022	—	`conf`	Estimating Withdrawal Time in Colonoscopies. ECCV Workshops (3) Liran Katzir, Danny Veikherman, Valentin Dashinsky, Roman Goldenberg, Ilan Shimshoni, Nadav Rabani, Regev Cohen, Ori Kelner, Ehud Rivlin, Daniel Freedman
2022	J	`jnl`	What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems. CoRR Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman
2021	A*	`conf`	It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems. NeurIPS Regev Cohen, Yochai Blau, Daniel Freedman, Ehud Rivlin
2021	J	`jnl`	Regularization by Denoising via Fixed-Point Projection (RED-PRO). SIAM J. Imaging Sci. Regev Cohen, Michael Elad, Peyman Milanfar
2020	J	`jnl`	Adaptive Ultrasound Beamforming Using Deep Learning. IEEE Trans. Medical Imaging Ben Luijten, Regev Cohen, Frederik J. de Bruijn, Harold A. W. Schmeitz, Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun
2020	J	`jnl`	Deep Learning in Ultrasound Imaging. Proc. IEEE Ruud J. G. van Sloun, Regev Cohen, Yonina C. Eldar
2020	J	`jnl`	Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound. IEEE Trans. Medical Imaging Oren Solomon, Regev Cohen, Yi Zhang, Yi Yang, Qiong He, Jianwen Luo, Ruud J. G. van Sloun, Yonina C. Eldar
2020	J	`jnl`	Regularization by Denoising via Fixed-Point Projection (RED-PRO). CoRR Regev Cohen, Michael Elad, Peyman Milanfar
2020	J	`jnl`	Sparse Array Design via Fractal Geometries. IEEE Trans. Signal Process. Regev Cohen, Yonina C. Eldar
2019	Misc	`conf`	Deep Convolutional Robust PCA with Application to Ultrasound Imaging. ICASSP Regev Cohen, Yi Zhang, Oren Solomon, Daniel Toberman, Liran Taieb, Ruud J. G. van Sloun, Yonina C. Eldar
2019	Misc	`conf`	Deep Learning for Fast Adaptive Beamforming. ICASSP Ben Luijten, Regev Cohen, Frederik J. de Bruijn, Harold A. W. Schmeitz, Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun
2019	J	`jnl`	Deep learning in ultrasound imaging. CoRR Ruud J. G. van Sloun, Regev Cohen, Yonina C. Eldar
2019	Misc	`conf`	Sparse Fractal Array Design with Increased Degrees of Freedom. ICASSP Regev Cohen, Yonina C. Eldar
2018	J	`jnl`	Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound. CoRR Oren Solomon, Regev Cohen, Yi Zhang, Yi Yang, Qiong He, Jianwen Luo, Ruud J. G. van Sloun, Yonina C. Eldar
2018	Misc	`conf`	Optimized Sparse Array Design Based on the Sum Coarray. ICASSP Regev Cohen, Yonina C. Eldar
2018	J	`jnl`	Sparse Convolutional Beamforming for Ultrasound Imaging. CoRR Regev Cohen, Yonina C. Eldar
2017	J	`jnl`	Sparse Doppler Sensing. CoRR Regev Cohen, Yonina C. Eldar
2017	—	`conf`	Sparse emission pattern in spectral blood Doppler. ISBI Regev Cohen, Yonina C. Eldar