Cohen, Regev

10 publications

WACV 2025 Anchored Diffusion for Video Face Reenactment Idan Kligvasser, Regev Cohen, George Leifman, Ehud Rivlin, Michael Elad
ICLRW 2025 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
ICML 2024 Early Time Classification with Accumulated Accuracy Gap Control Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano
NeurIPS 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
WACV 2024 Random Walks for Temporal Action Segmentation with Timestamp Supervision Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin
ICLRW 2023 Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman, Ehud Rivlin
NeurIPSW 2023 The Double-Edged Sword: Perception and Uncertainty in Inverse Problems Regev Cohen, Ehud Rivlin, Daniel Freedman
NeurIPSW 2023 The Perception-Uncertainty Tradeoff in Generative Restoration Models Regev Cohen, Ehud Rivlin, Daniel Freedman
ECCVW 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
NeurIPS 2021 It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems Regev Cohen, Yochai Blau, Daniel Freedman, Ehud Rivlin