Dror Simon

12 papers A* 2Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2021	—	`—`	Generative Models: Affecting Current Practice with Traditional Methods. Dror Simon
2021	J	`jnl`	Learned Greedy Method (LGM): A novel neural architecture for sparse coding and beyond. J. Vis. Commun. Image Represent. Rajaei Khatib, Dror Simon, Michael Elad
2020	—	`conf`	Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles. CVPR Workshops Dror Simon, Miriam Farber, Roman Goldenberg
2020	A*	`conf`	Barycenters of Natural Images - Constrained Wasserstein Barycenters for Image Morphing. CVPR Dror Simon, Aviad Aberdam
2020	J	`jnl`	Learned Greedy Method (LGM): A Novel Neural Architecture for Sparse Coding and Beyond. CoRR Rajaei Khatib, Dror Simon, Michael Elad
2020	J	`jnl`	When and How Can Deep Generative Models be Inverted? CoRR Aviad Aberdam, Dror Simon, Michael Elad
2019	J	`jnl`	Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles. CoRR Dror Simon, Miriam Farber, Roman Goldenberg
2019	J	`jnl`	Barycenters of Natural Images - Constrained Wasserstein Barycenters for Image Morphing. CoRR Dror Simon, Aviad Aberdam
2019	J	`jnl`	MMSE Approximation For Sparse Coding Algorithms Using Stochastic Resonance. IEEE Trans. Signal Process. Dror Simon, Jeremias Sulam, Yaniv Romano, Yue M. Lu, Michael Elad
2019	A*	`conf`	Rethinking the CSC Model for Natural Images. NeurIPS Dror Simon, Michael Elad
2019	J	`jnl`	Rethinking the CSC Model for Natural Images. CoRR Dror Simon, Michael Elad
2018	J	`jnl`	Improving Pursuit Algorithms Using Stochastic Resonance. CoRR Dror Simon, Jeremias Sulam, Yaniv Romano, Yue M. Lu, Michael Elad