Yair Weiss

133 papers A* 21A 9B 6Journal 45Unranked 36
YearRankTypeTitle / Venue / Authors
2026 J jnl
Is the Modality Gap a Bug or a Feature? A Robustness Perspective.
CoRR
Rhea Chowers, Oshri Naparstek, Udi Barzelay, Yair Weiss
2025 J jnl
Characterizing Nonlinear Dynamics via Smooth Prototype Equivalences.
CoRR
Roy Friedman, Noa Moriel, Matthew Ricci, Guy Pelc, Yair Weiss, Mor Nitzan
2025 A* conf
Do WGANs succeed because they minimize the Wasserstein Distance? Lessons from Discrete Generators.
ICLR
Ariel Elnekave, Yair Weiss
2024 J jnl
Intriguing Properties of Modern GANs.
CoRR
Roy Friedman, Yair Weiss
2024 J jnl
Lost in Translation: Modern Neural Networks Still Struggle With Small Realistic Image Transformations.
CoRR
Ofir Shifman, Yair Weiss
2024 — conf
Lost in Translation: Modern Neural Networks Still Struggle with Small Realistic Image Transformations.
ECCV (69)
Ofir Shifman, Yair Weiss
2024 J jnl
On adversarial training and the 1 Nearest Neighbor classifier.
CoRR
Amir Hagai, Yair Weiss
2023 A* conf
What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective.
ICML
Rhea Chowers, Yair Weiss
2022 — conf
Generating Natural Images with Direct Patch Distributions Matching.
ECCV (17)
Ariel Elnekave, Yair Weiss
2022 J jnl
Generating natural images with direct Patch Distributions Matching.
CoRR
Ariel Elnekave, Yair Weiss
2022 J jnl
Why do CNNs Learn Consistent Representations in their First Layer Independent of Labels and Architecture?
CoRR
Rhea Chowers, Yair Weiss
2021 J jnl
A Bayes-Optimal View on Adversarial Examples.
J. Mach. Learn. Res.
Eitan Richardson, Yair Weiss
2021 J jnl
Posterior Sampling for Image Restoration using Explicit Patch Priors.
CoRR
Roy Friedman, Yair Weiss
2021 A* conf
Understanding and Simplifying Perceptual Distances.
CVPR
Dan Amir, Yair Weiss
2021 A* conf
When Is Unsupervised Disentanglement Possible?
NeurIPS
Daniella Horan, Eitan Richardson, Yair Weiss
2020 J jnl
A Bayes-Optimal View on Adversarial Examples.
CoRR
Eitan Richardson, Yair Weiss
2020 J jnl
Special Issue: Advances in Architectures and Theories for Computer Vision.
Int. J. Comput. Vis.
Yair Weiss, Vittorio Ferrari, Cristian Sminchisescu, Martial Hebert
2020 B conf
The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation.
ICPR
Eitan Richardson, Yair Weiss
2020 J jnl
The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation.
CoRR
Eitan Richardson, Yair Weiss
2019 J jnl
Why do deep convolutional networks generalize so poorly to small image transformations?
J. Mach. Learn. Res.
Aharon Azulay, Yair Weiss
2018 — ed.
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part I
ECCV (1)
Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss
2018 — ed.
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part II
ECCV (2)
Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss
2018 — ed.
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part III
ECCV (3)
Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss
2018 — ed.
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part IV
ECCV (4)
Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss
2018 — ed.
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part IX
ECCV (9)
Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss
2018 — ed.
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part V
ECCV (5)
Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss
2018 — ed.
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VI
ECCV (6)
Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss
2018 — ed.
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VII
ECCV (7)
Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss
2018 — ed.
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VIII
ECCV (8)
Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss
2018 — ed.
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part X
ECCV (10)
Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss
2018 — ed.
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XI
ECCV (11)
Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss
2018 — ed.
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XII
ECCV (12)
Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss
2018 — ed.
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XIII
ECCV (13)
Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss
2018 — ed.
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XIV
ECCV (14)
Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss
2018 — ed.
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XV
ECCV (15)
Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss
2018 — ed.
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XVI
ECCV (16)
Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss
2018 A* conf
On GANs and GMMs.
NeurIPS
Eitan Richardson, Yair Weiss
2018 J jnl
On GANs and GMMs.
CoRR
Eitan Richardson, Yair Weiss
2018 J jnl
Why do deep convolutional networks generalize so poorly to small image transformations?
CoRR
Aharon Azulay, Yair Weiss
2017 J jnl
Reflection Separation Using Guided Annotation.
CoRR
Ofer Springer, Yair Weiss
2017 B conf
Reflection separation using guided annotation.
ICIP
Ofer Springer, Yair Weiss
2016 J jnl
A Tight Convex Upper Bound on the Likelihood of a Finite Mixture.
CoRR
Elad Mezuman, Yair Weiss
2016 B conf
A tight convex upper bound on the likelihood of a finite mixture.
ICPR
Elad Mezuman, Yair Weiss
2016 J jnl
Beyond Brightness Constancy: Learning Noise Models for Optical Flow.
CoRR
Dan Rosenbaum, Yair Weiss
2016 — conf
Power-Efficient Cameras Using Natural Image Statistics.
CVPR Workshops
Roni Feldman, Yair Weiss, Yonina C. Eldar
2016 J jnl
Statistics of RGBD Images.
CoRR
Dan Rosenbaum, Yair Weiss
2015 — conf
The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors.
NIPS
Dan Rosenbaum, Yair Weiss
2013 — conf
Learning the Local Statistics of Optical Flow.
NIPS
Dan Rosenbaum, Daniel Zoran, Yair Weiss
2013 J jnl
Loopy Belief Propagation for Approximate Inference: An Empirical Study
CoRR
Kevin P. Murphy, Yair Weiss, Michael I. Jordan
2013 J jnl
The Factored Frontier Algorithm for Approximate Inference in DBNs
CoRR
Kevin P. Murphy, Yair Weiss
2013 A conf
Tighter Linear Program Relaxations for High Order Graphical Models.
UAI
Elad Mezuman, Daniel Tarlow, Amir Globerson, Yair Weiss
2013 J jnl
Tighter Linear Program Relaxations for High Order Graphical Models.
CoRR
Elad Mezuman, Daniel Tarlow, Amir Globerson, Yair Weiss
2012 — conf
"Natural Images, Gaussian Mixtures and Dead Leaves".
NIPS
Daniel Zoran, Yair Weiss
2012 J jnl
Convergent message passing algorithms - a unifying view
CoRR
Talya Meltzer, Amir Globerson, Yair Weiss
2012 A conf
Globally Optimizing Graph Partitioning Problems Using Message Passing.
AISTATS
Elad Mezuman, Yair Weiss
2012 J jnl
Latent Topic Models for Hypertext
CoRR
Amit Gruber, Michal Rosen-Zvi, Yair Weiss
2012 — conf
Learning about Canonical Views from Internet Image Collections.
NIPS
Elad Mezuman, Yair Weiss
2012 J jnl
MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies
CoRR
Yair Weiss, Chen Yanover, Talya Meltzer
2012 — conf
Multidimensional Spectral Hashing.
ECCV (5)
Yair Weiss, Rob Fergus, Antonio Torralba
2012 J jnl
Tightening LP Relaxations for MAP using Message Passing
CoRR
David A. Sontag, Talya Meltzer, Amir Globerson, Tommi S. Jaakkola, Yair Weiss
2011 A* conf
Efficient marginal likelihood optimization in blind deconvolution.
CVPR
Anat Levin, Yair Weiss, Frédo Durand, William T. Freeman
2011 A* conf
From learning models of natural image patches to whole image restoration.
ICCV
Daniel Zoran, Yair Weiss
2011 J jnl
Understanding Blind Deconvolution Algorithms.
IEEE Trans. Pattern Anal. Mach. Intell.
Anat Levin, Yair Weiss, Frédo Durand, William T. Freeman
2010 J jnl
Belief propagation: technical perspective.
Commun. ACM
Yair Weiss, Judea Pearl
2010 J jnl
SPRINT: side-chain prediction inference toolbox for multistate protein design.
Bioinform.
Menachem Fromer, Chen Yanover, Amir Harel, Ori Shachar, Yair Weiss, Michal Linial
2010 — conf
Semantic Label Sharing for Learning with Many Categories.
ECCV (1)
Robert Fergus, Hector Bernal, Yair Weiss, Antonio Torralba
2009 A conf
Convergent message passing algorithms - a unifying view.
UAI
Talya Meltzer, Amir Globerson, Yair Weiss
2009 J jnl
Informative Sensing
CoRR
Hyun Sung Chang, Yair Weiss, William T. Freeman
2009 B conf
Informative sensing of natural images.
ICIP
Hyun Sung Chang, Yair Weiss, William T. Freeman
2009 J jnl
Learning to Combine Bottom-Up and Top-Down Segmentation.
Int. J. Comput. Vis.
Anat Levin, Yair Weiss
2009 A* conf
Scale invariance and noise in natural images.
ICCV
Daniel Zoran, Yair Weiss
2009 — conf
Semi-Supervised Learning in Gigantic Image Collections.
NIPS
Rob Fergus, Yair Weiss, Antonio Torralba
2009 — conf
The 'tree-dependent components' of natural scenes are edge filters.
NIPS
Daniel Zoran, Yair Weiss
2009 A* conf
Understanding and evaluating blind deconvolution algorithms.
CVPR
Anat Levin, Yair Weiss, Frédo Durand, William T. Freeman
2008 J jnl
A Closed-Form Solution to Natural Image Matting.
IEEE Trans. Pattern Anal. Mach. Intell.
Anat Levin, Dani Lischinski, Yair Weiss
2008 J jnl
Discrete-Input Two-Dimensional Gaussian Channels With Memory: Estimation and Information Rates Via Graphical Models and Statistical Mechanics.
IEEE Trans. Inf. Theory
Ori Shental, Noam Shental, Shlomo Shamai, Ido Kanter, Anthony J. Weiss, Yair Weiss
2008 A* conf
Human-assisted motion annotation.
CVPR
Ce Liu, William T. Freeman, Edward H. Adelson, Yair Weiss
2008 A conf
Latent Topic Models for Hypertext.
UAI
Amit Gruber, Michal Rosen-Zvi, Yair Weiss
2008 J jnl
Minimizing and Learning Energy Functions for Side-Chain Prediction.
J. Comput. Biol.
Chen Yanover, Ora Schueler-Furman, Yair Weiss
2008 A* conf
Small codes and large image databases for recognition.
CVPR
Antonio Torralba, Robert Fergus, Yair Weiss
2008 — conf
Spectral Hashing.
NIPS
Yair Weiss, Antonio Torralba, Robert Fergus
2008 A conf
Tightening LP Relaxations for MAP using Message Passing.
UAI
David A. Sontag, Talya Meltzer, Amir Globerson, Tommi S. Jaakkola, Yair Weiss
2007 A* conf
Fast Pixel/Part Selection with Sparse Eigenvectors.
ICCV
Bernard Moghaddam, Yair Weiss, Shai Avidan
2007 A conf
Hidden Topic Markov Models.
AISTATS
Amit Gruber, Yair Weiss, Michal Rosen-Zvi
2007 J jnl
Incorporating non-motion cues into 3D motion segmentation.
Comput. Vis. Image Underst.
Amit Gruber, Yair Weiss
2007 A conf
MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies.
UAI
Yair Weiss, Chen Yanover, Talya Meltzer
2007 B conf
Minimizing and Learning Energy Functions for Side-Chain Prediction.
RECOMB
Chen Yanover, Ora Schueler-Furman, Yair Weiss
2007 J jnl
User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior.
IEEE Trans. Pattern Anal. Mach. Intell.
Anat Levin, Yair Weiss
2007 A* conf
What makes a good model of natural images?
CVPR
Yair Weiss, William T. Freeman
2006 — conf
A Closed Form Solution to Natural Image Matting.
CVPR (1)
Anat Levin, Dani Lischinski, Yair Weiss
2006 A* conf
Generalized spectral bounds for sparse LDA.
ICML
Baback Moghaddam, Yair Weiss, Shai Avidan
2006 — conf
Incorporating Non-motion Cues into 3D Motion Segmentation.
ECCV (3)
Amit Gruber, Yair Weiss
2006 — conf
Learning to Combine Bottom-Up and Top-Down Segmentation.
ECCV (4)
Anat Levin, Yair Weiss
2006 J jnl
Linear Programming Relaxations and Belief Propagation - An Empirical Study.
J. Mach. Learn. Res.
Chen Yanover, Talya Meltzer, Yair Weiss
2006 J jnl
Seamless image stitching by minimizing false edges.
IEEE Trans. Image Process.
Assaf Zomet, Anat Levin, Shmuel Peleg, Yair Weiss
2005 J jnl
Constructing free-energy approximations and generalized belief propagation algorithms.
IEEE Trans. Inf. Theory
Jonathan S. Yedidia, William T. Freeman, Yair Weiss
2005 A* conf
Globally Optimal Solutions for Energy Minimization in Stereo Vision Using Reweighted Belief Propagation.
ICCV
Talya Meltzer, Chen Yanover, Yair Weiss
2005 — conf
Incorporating Constraints and Prior Knowledge into Factorization Algorithms - An Application to 3D Recovery.
SLSFS
Amit Gruber, Yair Weiss
2005 J jnl
Information Bottleneck for Gaussian Variables.
J. Mach. Learn. Res.
Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss
2005 — conf
Noise and the two-thirds power Law.
NIPS
Uri Maoz, Elon Portugaly, Tamar Flash, Yair Weiss
2005 — conf
Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms.
NIPS
Baback Moghaddam, Yair Weiss, Shai Avidan
2004 J jnl
Colorization using optimization.
ACM Trans. Graph.
Anat Levin, Dani Lischinski, Yair Weiss
2004 B conf
Generalized belief propagation receiver for near-optimal detection of two-dimensional channels with memory.
ITW
Ori Shental, Anthony J. Weiss, Noam Shental, Yair Weiss
2004 — conf
Learning From a Small Number of Training Examples by Exploiting Object Categories.
CVPR Workshops
Kobi Levi, Michael Fink, Yair Weiss
2004 — conf
Learning Object Detection from a Small Number of Examples: The Importance of Good Features.
CVPR (2)
Kobi Levi, Yair Weiss
2004 — conf
Multibody Factorization with Uncertainty and Missing Data Using the EM Algorithm.
CVPR (1)
Amit Gruber, Yair Weiss
2004 — conf
Seamless Image Stitching in the Gradient Domain.
ECCV (4)
Anat Levin, Assaf Zomet, Shmuel Peleg, Yair Weiss
2004 — conf
Separating Reflections from a Single Image Using Local Features.
CVPR (1)
Anat Levin, Assaf Zomet, Yair Weiss
2004 — conf
User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior.
ECCV (1)
Anat Levin, Yair Weiss
2003 — conf
Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence.
NIPS
Amit Gruber, Yair Weiss
2003 — conf
Finding the M Most Probable Configurations in Arbitrary Graphical Models.
NIPS
Chen Yanover, Yair Weiss
2003 — conf
Information Bottleneck for Gaussian Variables.
NIPS
Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss
2003 A* conf
Learning How to Inpaint from Global Image Statistics.
ICCV
Anat Levin, Assaf Zomet, Yair Weiss
2003 A* conf
Learning and Inferring Image Segmentations using the GBP Typical Cut Algorithm.
ICCV
Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss
2003 — conf
Pairwise Clustering and Graphical Models.
NIPS
Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss
2002 — conf
Approximate Inference and Protein-Folding.
NIPS
Chen Yanover, Yair Weiss
2002 — conf
Learning to Perceive Transparency from the Statistics of Natural Scenes.
NIPS
Anat Levin, Assaf Zomet, Yair Weiss
2002 — conf
Maximum Likelihood and the Information Bottleneck.
NIPS
Noam Slonim, Yair Weiss
2001 J jnl
Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology.
Neural Comput.
Yair Weiss, William T. Freeman
2001 A* conf
Deriving Intrinsic Images from Image Sequences.
ICCV
Yair Weiss
2001 — conf
On Spectral Clustering: Analysis and an algorithm.
NIPS
Andrew Y. Ng, Michael I. Jordan, Yair Weiss
2001 J jnl
On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs.
IEEE Trans. Inf. Theory
Yair Weiss, William T. Freeman
2001 A conf
The Factored Frontier Algorithm for Approximate Inference in DBNs.
UAI
Kevin P. Murphy, Yair Weiss
2000 J jnl
Correctness of Local Probability Propagation in Graphical Models with Loops.
Neural Comput.
Yair Weiss
2000 — conf
Generalized Belief Propagation.
NIPS
Jonathan S. Yedidia, William T. Freeman, Yair Weiss
1999 — conf
Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology.
NIPS
Yair Weiss, William T. Freeman
1999 A conf
Loopy Belief Propagation for Approximate Inference: An Empirical Study.
UAI
Kevin P. Murphy, Yair Weiss, Michael I. Jordan
1999 A* conf
Segmentation using Eigenvectors: A Unifying View.
ICCV
Yair Weiss
1997 — conf
Phase Transitions and the Perceptual Organization of Video Sequences.
NIPS
Yair Weiss
1997 A* conf
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation.
CVPR
Yair Weiss
1996 A* conf
A Unified Mixture Framework for Motion Segmentation: Incorporating Spatial Coherence and Estimating the Number of Models.
CVPR
Yair Weiss, Edward H. Adelson
1996 — conf
Interpreting Images by Propagating Bayesian Beliefs.
NIPS
Yair Weiss
1993 J jnl
Models of Perceptual Learning in Vernier Hyperacuity.
Neural Comput.
Yair Weiss, Shimon Edelman, Manfred Fahle