Ramin Zabih

CoRR, 2024

DreamWalk: Style Space Exploration using Diffusion Guidance.

[BibT_eX]

[DOI]

CoRR, 2024

MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection.

[BibT_eX]

[DOI]

Ali Behrouz

Michele Santacatterina

CoRR, 2024

2023

Distribution Normalization: An "Effortless" Test-Time Augmentation for Contrastively Learned Visual-language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Test-Time Distribution Normalization for Contrastively Learned Visual-language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Unsupervised Text Deidentification.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Pyramid Adversarial Training Improves ViT Performance.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dimensions of Motion: Monocular Prediction through Flow Subspaces.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2022

2021

Dimensions of Motion: Learning to Predict a Subspace of Optical Flow from a Single Image.

[BibT_eX]

[DOI]

CoRR, 2021

Deep survival analysis with longitudinal X-rays for COVID-19.

[BibT_eX]

[DOI]

Michele Santacatterina

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AutoFlow: Learning a Better Training Set for Optical Flow.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

OCONet: Image Extrapolation by Object Completion.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Channel Selection Using Gumbel Softmax.

[BibT_eX]

[DOI]

Charles Herrmann

Richard Strong Bowen

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning to Autofocus.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Deep networks with probabilistic gates.

[BibT_eX]

[DOI]

Charles Herrmann

Richard Strong Bowen

Ashkan Heshmatzadeh Behzadi

CoRR, 2018

Object-Centered Image Stitching.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Robust Image Stitching with Multiple Registrations.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Automating Perforator Flap MRA and CTA Reporting.

[BibT_eX]

[DOI]

Christopher J. Lange

Nanda Deepa Thimmappa

Yi Wang

Martin R. Prince

J. Digit. Imaging, 2017

A Discriminative View of MRF Pre-processing Algorithms.

[BibT_eX]

[DOI]

Chen Wang

Charles Herrmann

Proceedings of the IEEE International Conference on Computer Vision, 2017

Evaluation of Automated Spectrographic Seizure Detection Using Scale Invariant Feature Transform and Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2017, 2017

2016

Note Special Issue on Discrete Graphical Models in Biomedical Image Analysis.

[BibT_eX]

[DOI]

Ben Glocker

Nikos Paragios

Medical Image Anal., 2016

Some medical applications of example-based super-resolution.

[BibT_eX]

[DOI]

CoRR, 2016

Relaxation-Based Preprocessing Techniques for Markov Random Field Inference.

[BibT_eX]

[DOI]

Chen Wang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

A Hypergraph-Based Reduction for Higher-Order Binary Markov Random Fields.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Research opportunities in creating medical images.

[BibT_eX]

[DOI]

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

2014

A Primal-Dual Algorithm for Higher-Order Multilabel Markov Random Fields.

[BibT_eX]

[DOI]

Alexander Fix

Chen Wang

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Farewell state of the journal.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Structured learning of sum-of-submodular higher order energy functions.

[BibT_eX]

[DOI]

CoRR, 2013

Structured Learning of Sum-of-Submodular Higher Order Energy Functions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Editor's Note.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2012

State of the Journal.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Approximate MRF Inference Using Bounded Treewidth Subgraphs.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

State of the Journal.

[BibT_eX]

[DOI]

Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Editor's Note.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Editorial.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Editor's Note.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Dynamic Programming and Graph Algorithms in Computer Vision.

[BibT_eX]

[DOI]

Pedro F. Felzenszwalb

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Segmentation of Liver Tumor Using Efficient Global Optimal Tree Metrics Graph Cuts.

[BibT_eX]

[DOI]

Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2011

A graph cut algorithm for higher-order Markov Random Fields.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Editor's Note.

[BibT_eX]

[DOI]

Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2010

The 30th Anniversary of the IEEE Transactions on Pattern Analysis and Machine Intelligence.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Globally optimal pixel labeling algorithms for tree metrics.

[BibT_eX]

[DOI]

Pedro F. Felzenszwalb

Gyula Pap

Éva Tardos

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Introduction of New Associate Editors.

[BibT_eX]

[DOI]

Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Editorial.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Corrigendum to "Discrete optimization in computer vision" [Comput. Vis. Image Understanding 112 (2008) 1-2].

[BibT_eX]

[DOI]

Nikos Paragios

Comput. Vis. Image Underst., 2009

2008

A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Guest Editors' Introduction to the Special Section on CVPR Papers.

[BibT_eX]

[DOI]

Simon Baker

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Discrete optimization in computer vision.

[BibT_eX]

[DOI]

Nikos Paragios

Comput. Vis. Image Underst., 2008

Segmentation of the left ventricle in cardiac MR images using graph cuts with parametric shape priors.

[BibT_eX]

[DOI]

Jie Zhu-Jacquot

Proceedings of the IEEE International Conference on Acoustics, 2008

Solving Linear Inverse Systems with Graph Cuts.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008

A New Start: Innovative Introductory AI-Centered Courses at Cornell.

[BibT_eX]

[DOI]

Proceedings of the Using AI to Motivate Greater Participation in Computer Science, 2008

2007

A Maximum Likelihood Approach to Parallel Imaging With Coil Sensitivity Noise.

[BibT_eX]

[DOI]

Ashish Raj

Yi Wang

IEEE Trans. Medical Imaging, 2007

Graph Cuts Segmentation with Statistical Shape Priors for Medical Images.

[BibT_eX]

[DOI]

Jie Zhu-Jacquot

Proceedings of the Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, 2007

2006

Improved Signal-to-Noise Ratio in Parallel Coronary Artery Magnetic Resonance Angiography using Graph Cuts based Bayesian Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Statistical Aspects of Parallel Imaging Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

A Comparative Study of Energy Minimization Methods for Markov Random Fields.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2006

MRF's forMRI's: Bayesian Reconstruction of MR Images via Graph Cuts.

[BibT_eX]

[DOI]

Ashish Raj

Gurmeet Singh

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Graph Cut Algorithms for Binocular Stereo with Occlusions.

[BibT_eX]

[DOI]

Proceedings of the Handbook of Mathematical Models in Computer Vision, 2006

2005

A Graph Cut Algorithm for Generalized Image Deconvolution.

[BibT_eX]

[DOI]

Ashish Raj

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004

What Energy Functions Can Be Minimized via Graph Cuts?

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2004

Spatially Coherent Clustering Using Graph Cuts.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003

Automatic Hierarchical Color Image Classification.

[BibT_eX]

[DOI]

Jing Huang

S. Ravi Kumar

EURASIP J. Adv. Signal Process., 2003

A Segmentation Algorithm for Contrast-Enhanced Images.

[BibT_eX]

[DOI]

Junhwan Kim

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Visual Correspondence Using Energy Minimization and Mutual Information.

[BibT_eX]

[DOI]

Junhwan Kim

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Generalized Multi-camera Scene Reconstruction Using Graph Cuts.

[BibT_eX]

[DOI]

Steven J. Gortler

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003

2002

Multi-camera Scene Reconstruction via Graph Cuts.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2002

Factorial Markov Random Fields.

[BibT_eX]

[DOI]

Junhwan Kim

Proceedings of the Computer Vision, 2002

2001

Introduction to the Special Section on Graph Algorithms in Computer Vision.

[BibT_eX]

[DOI]

Sven J. Dickinson

Marcello Pelillo

IEEE Trans. Pattern Anal. Mach. Intell., 2001

Fast Approximate Energy Minimization via Graph Cuts.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2001

Computing Visual Correspondence with Occlusions via Graph Cuts.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

1999

A Feature-Based Algorithm for Detecting and Classifying Production Effects.

[BibT_eX]

[DOI]

Kevin Mai

Multim. Syst., 1999

Comparing Images Using Joint Histograms.

[BibT_eX]

[DOI]

Greg Pass

Multim. Syst., 1999

Spatial Color Indexing and Applications.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 1999

Counting People from Multiple Cameras.

[BibT_eX]

[DOI]

Vera M. Kettnaker

Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1999

An Experimental Comparison of Stereo Algorithms.

[BibT_eX]

[DOI]

Richard Szeliski

Proceedings of the Vision Algorithms: Theory and Practice, 1999

A New Algorithm for Energy Minimization with Discontinuities.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1999

Bayesian Multi-Camera Surveillance.

[BibT_eX]

[DOI]

Vera M. Kettnaker

Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

1998

A Variable Window Approach to Early Vision.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1998

An Automatic Hierarchical Image Classification Scheme.

[BibT_eX]

[DOI]

Jing Huang

Ravi Kumar

Proceedings of the 6th ACM International Conference on Multimedia '98, 1998

Markov Random Fields with Efficient Approximations.

[BibT_eX]

[DOI]

Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

1997

Image Indexing Using Color Correlograms.

[BibT_eX]

[DOI]

Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

Disparity Component Matching for Visual Correspondence.

[BibT_eX]

[DOI]

Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1996

Histogram refinement for content-based image retrieval.

[BibT_eX]

[DOI]

Greg Pass

Proceedings of ThirdIEEE Workshop on Applications of Computer Vision, 1996

Comparing Images Using Color Coherence Vectors.

[BibT_eX]

[DOI]

Greg Pass

Proceedings of the Forth ACM International Conference on Multimedia '96, 1996

Video Browsing Using Edges and Motion.

[BibT_eX]

[DOI]

Kevin Mai

Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), 1996

1995

A Feature-Based Algorithm for Detecting and Classifying Scene Breaks.

[BibT_eX]

[DOI]

Kevin Mai

Proceedings of the Third ACM International Conference on Multimedia '95, 1995

1994

Individuating unknown objects by combining motion and stereo.

[BibT_eX]

[DOI]

PhD thesis, 1994

Non-parametric Local Transforms for Computing Visual Correspondence.

[BibT_eX]

[DOI]

John Woodfill

Proceedings of the Computer Vision, 1994

1992

A Dynamic Programming Solution to the n-Queens Problem.

[BibT_eX]

[DOI]

Igor Rivin

Inf. Process. Lett., 1992

1991

An Algorithm for Real-Time Tracking of Non-Rigid Objects.

[BibT_eX]

[DOI]

John Woodfill

Proceedings of the 9th National Conference on Artificial Intelligence, 1991

1990

Some Applications of Graph Bandwidth to Constraint Satisfaction Problems.

[BibT_eX]

[DOI]

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1989

An Algebraic Approach to Constraint Satisfaction Problems.

[BibT_eX]

[DOI]

Igor Rivin

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

1988

A Rearrangement Search Strategy for Determining Propositional Satisfiability.

[BibT_eX]

[DOI]

David A. McAllester

Proceedings of the 7th National Conference on Artificial Intelligence, 1988

1987

Non-Deterministic Lisp with Dependency-directed Backtracking.

[BibT_eX]

[DOI]

David A. McAllester

David Chapman

Proceedings of the 6th National Conference on Artificial Intelligence. Seattle, 1987

1986

Boolean Classes.

[BibT_eX]

[DOI]

David A. McAllester

Proceedings of the Conference on Object-Oriented Programming Systems, 1986

A performance comparison of the window systems of two LISP machines (abstract).

[BibT_eX]

[DOI]