Yair Weiss

Affiliations:
  • Hebrew University of Jerusalem, Israel


According to our database1, Yair Weiss authored at least 92 papers between 1993 and 2024.

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Bibliography

2024
Lost in Translation: Modern Neural Networks Still Struggle With Small Realistic Image Transformations.
CoRR, 2024

On adversarial training and the 1 Nearest Neighbor classifier.
CoRR, 2024

Intriguing Properties of Modern GANs.
CoRR, 2024

2023
What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective.
Proceedings of the International Conference on Machine Learning, 2023

2022
Why do CNNs Learn Consistent Representations in their First Layer Independent of Labels and Architecture?
CoRR, 2022

Generating Natural Images with Direct Patch Distributions Matching.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
A Bayes-Optimal View on Adversarial Examples.
J. Mach. Learn. Res., 2021

Posterior Sampling for Image Restoration using Explicit Patch Priors.
CoRR, 2021

When Is Unsupervised Disentanglement Possible?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Understanding and Simplifying Perceptual Distances.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Special Issue: Advances in Architectures and Theories for Computer Vision.
Int. J. Comput. Vis., 2020

The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Why do deep convolutional networks generalize so poorly to small image transformations?
J. Mach. Learn. Res., 2019

2018
On GANs and GMMs.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Reflection separation using guided annotation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Statistics of RGBD Images.
CoRR, 2016

Beyond Brightness Constancy: Learning Noise Models for Optical Flow.
CoRR, 2016

A tight convex upper bound on the likelihood of a finite mixture.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Power-Efficient Cameras Using Natural Image Statistics.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2013
Tighter Linear Program Relaxations for High Order Graphical Models.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Learning the Local Statistics of Optical Flow.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Globally Optimizing Graph Partitioning Problems Using Message Passing.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

"Natural Images, Gaussian Mixtures and Dead Leaves".
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Learning about Canonical Views from Internet Image Collections.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Multidimensional Spectral Hashing.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Understanding Blind Deconvolution Algorithms.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

From learning models of natural image patches to whole image restoration.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Efficient marginal likelihood optimization in blind deconvolution.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Belief propagation: technical perspective.
Commun. ACM, 2010

SPRINT: side-chain prediction inference toolbox for multistate protein design.
Bioinform., 2010

Semantic Label Sharing for Learning with Many Categories.
Proceedings of the Computer Vision, 2010

2009
Learning to Combine Bottom-Up and Top-Down Segmentation.
Int. J. Comput. Vis., 2009

Informative Sensing
CoRR, 2009

Convergent message passing algorithms - a unifying view.
Proceedings of the UAI 2009, 2009

The 'tree-dependent components' of natural scenes are edge filters.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Semi-Supervised Learning in Gigantic Image Collections.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Informative sensing of natural images.
Proceedings of the International Conference on Image Processing, 2009

Scale invariance and noise in natural images.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Understanding and evaluating blind deconvolution algorithms.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Discrete-Input Two-Dimensional Gaussian Channels With Memory: Estimation and Information Rates Via Graphical Models and Statistical Mechanics.
IEEE Trans. Inf. Theory, 2008

A Closed-Form Solution to Natural Image Matting.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Minimizing and Learning Energy Functions for Side-Chain Prediction.
J. Comput. Biol., 2008

Tightening LP Relaxations for MAP using Message Passing.
Proceedings of the UAI 2008, 2008

Latent Topic Models for Hypertext.
Proceedings of the UAI 2008, 2008

Spectral Hashing.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Small codes and large image databases for recognition.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Human-assisted motion annotation.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Hidden Topic Markov Models.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Incorporating non-motion cues into 3D motion segmentation.
Comput. Vis. Image Underst., 2007

MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies.
Proceedings of the UAI 2007, 2007

Fast Pixel/Part Selection with Sparse Eigenvectors.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

What makes a good model of natural images?
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Seamless image stitching by minimizing false edges.
IEEE Trans. Image Process., 2006

Linear Programming Relaxations and Belief Propagation - An Empirical Study.
J. Mach. Learn. Res., 2006

Generalized spectral bounds for sparse LDA.
Proceedings of the Machine Learning, 2006

2005
Constructing free-energy approximations and generalized belief propagation algorithms.
IEEE Trans. Inf. Theory, 2005

Information Bottleneck for Gaussian Variables.
J. Mach. Learn. Res., 2005

Incorporating Constraints and Prior Knowledge into Factorization Algorithms - An Application to 3D Recovery.
Proceedings of the Subspace, 2005

Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Noise and the two-thirds power Law.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Globally Optimal Solutions for Energy Minimization in Stereo Vision Using Reweighted Belief Propagation.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004
Colorization using optimization.
ACM Trans. Graph., 2004

Generalized belief propagation receiver for near-optimal detection of two-dimensional channels with memory.
Proceedings of the 2004 IEEE Information Theory Workshop, 2004

Seamless Image Stitching in the Gradient Domain.
Proceedings of the Computer Vision, 2004

Separating Reflections from a Single Image Using Local Features.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

Learning Object Detection from a Small Number of Examples: The Importance of Good Features.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

Learning From a Small Number of Training Examples by Exploiting Object Categories.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

Multibody Factorization with Uncertainty and Missing Data Using the EM Algorithm.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Finding the M Most Probable Configurations in Arbitrary Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Pairwise Clustering and Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Learning and Inferring Image Segmentations using the GBP Typical Cut Algorithm.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Learning How to Inpaint from Global Image Statistics.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002
Approximate Inference and Protein-Folding.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Maximum Likelihood and the Information Bottleneck.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Learning to Perceive Transparency from the Statistics of Natural Scenes.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs.
IEEE Trans. Inf. Theory, 2001

Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology.
Neural Comput., 2001

The Factored Frontier Algorithm for Approximate Inference in DBNs.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

On Spectral Clustering: Analysis and an algorithm.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Deriving Intrinsic Images from Image Sequences.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

2000
Correctness of Local Probability Propagation in Graphical Models with Loops.
Neural Comput., 2000

Generalized Belief Propagation.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Loopy Belief Propagation for Approximate Inference: An Empirical Study.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Segmentation using Eigenvectors: A Unifying View.
Proceedings of the International Conference on Computer Vision, 1999

1997
Phase Transitions and the Perceptual Organization of Video Sequences.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Smoothness in Layers: Motion segmentation using nonparametric mixture estimation.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1996
Interpreting Images by Propagating Bayesian Beliefs.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

A Unified Mixture Framework for Motion Segmentation: Incorporating Spatial Coherence and Estimating the Number of Models.
Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), 1996

1993
Models of Perceptual Learning in Vernier Hyperacuity.
Neural Comput., 1993


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