A performance comparison of the window systems of two LISP machines (abstract). - Ramin Zabih; Raj Jain (ACM Conference on Computer Science, 1986)

Boolean Classes. - David A. McAllester; Ramin Zabih (OOPSLA, 1986)

Non-Deterministic Lisp with Dependency-directed Backtracking. - Ramin Zabih; David A. McAllester; David Chapman (AAAI, 1987)

A Rearrangement Search Strategy for Determining Propositional Satisfiability. - Ramin Zabih; David A. McAllester (AAAI, 1988)

An Algebraic Approach to Constraint Satisfaction Problems. - Igor Rivin; Ramin Zabih (IJCAI, 1989)

Some Applications of Graph Bandwidth to Constraint Satisfaction Problems. - Ramin Zabih (AAAI, 1990)

An Algorithm for Real-Time Tracking of Non-Rigid Objects. - John Woodfill; Ramin Zabih (AAAI, 1991)

A Dynamic Programming Solution to the n-Queens Problem. - Igor Rivin; Ramin Zabih (Inf. Process. Lett., 1992)

Non-parametric Local Transforms for Computing Visual Correspondence. - Ramin Zabih; John Woodfill (ECCV (2), 1994)

Individuating unknown objects by combining motion and stereo. - Ramin Zabih (1994)

A Feature-Based Algorithm for Detecting and Classifying Scene Breaks. - Ramin Zabih; Justin Miller; Kevin Mai (ACM Multimedia, 1995)

Video Browsing Using Edges and Motion. - Ramin Zabih; Justin Miller; Kevin Mai (CVPR, 1996)

Comparing Images Using Color Coherence Vectors. - Greg Pass; Ramin Zabih; Justin Miller (ACM Multimedia, 1996)

Histogram refinement for content-based image retrieval. - Greg Pass; Ramin Zabih (WACV, 1996)

Disparity Component Matching for Visual Correspondence. - Yuri Boykov; Olga Veksler; Ramin Zabih (CVPR, 1997)

Image Indexing Using Color Correlograms. - Jing Huang 019; Ravi Kumar 001; Mandar Mitra; Wei-Jing Zhu; Ramin Zabih (CVPR, 1997)

Markov Random Fields with Efficient Approximations. - Yuri Boykov; Olga Veksler; Ramin Zabih (CVPR, 1998)

An Automatic Hierarchical Image Classification Scheme. - Jing Huang 019; Ravi Kumar 001; Ramin Zabih (ACM Multimedia, 1998)

A Variable Window Approach to Early Vision. - Yuri Boykov; Olga Veksler; Ramin Zabih (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

Bayesian Multi-Camera Surveillance. - Vera M. Kettnaker; Ramin Zabih (CVPR, 1999)

A New Algorithm for Energy Minimization with Discontinuities. - Yuri Boykov; Olga Veksler; Ramin Zabih (EMMCVPR, 1999)

An Experimental Comparison of Stereo Algorithms. - Richard Szeliski; Ramin Zabih (Workshop on Vision Algorithms, 1999)

Counting People from Multiple Cameras. - Vera M. Kettnaker; Ramin Zabih (ICMCS, Vol. 2, 1999)

Spatial Color Indexing and Applications. - Jing Huang 019; S. Ravi Kumar 001; Mandar Mitra; Wei-Jing Zhu; Ramin Zabih (Int. J. Comput. Vis., 1999)

Comparing Images Using Joint Histograms. - Greg Pass; Ramin Zabih (Multim. Syst., 1999)

A Feature-Based Algorithm for Detecting and Classifying Production Effects. - Ramin Zabih; Justin Miller; Kevin Mai (Multim. Syst., 1999)

Computing Visual Correspondence with Occlusions via Graph Cuts. - Vladimir Kolmogorov; Ramin Zabih (ICCV, 2001)

Fast Approximate Energy Minimization via Graph Cuts. - Yuri Boykov; Olga Veksler; Ramin Zabih (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Introduction to the Special Section on Graph Algorithms in Computer Vision. - Sven J. Dickinson; Marcello Pelillo; Ramin Zabih (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Factorial Markov Random Fields. - Junhwan Kim; Ramin Zabih (ECCV (3), 2002)

Multi-camera Scene Reconstruction via Graph Cuts. - Vladimir Kolmogorov; Ramin Zabih (ECCV (3), 2002)

Generalized Multi-camera Scene Reconstruction Using Graph Cuts. - Vladimir Kolmogorov; Ramin Zabih; Steven J. Gortler (EMMCVPR, 2003)

Visual Correspondence Using Energy Minimization and Mutual Information. - Junhwan Kim; Vladimir Kolmogorov; Ramin Zabih (ICCV, 2003)

A Segmentation Algorithm for Contrast-Enhanced Images. - Junhwan Kim; Ramin Zabih (ICCV, 2003)

Automatic Hierarchical Color Image Classification. - Jing Huang 019; S. Ravi Kumar 001; Ramin Zabih (EURASIP J. Adv. Signal Process., 2003)

Spatially Coherent Clustering Using Graph Cuts. - Ramin Zabih; Vladimir Kolmogorov (CVPR (2), 2004)

What Energy Functions Can Be Minimized via Graph Cuts? - Vladimir Kolmogorov; Ramin Zabih (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

A Graph Cut Algorithm for Generalized Image Deconvolution. - Ashish Raj; Ramin Zabih (ICCV, 2005)

Graph Cut Algorithms for Binocular Stereo with Occlusions. - Vladimir Kolmogorov; Ramin Zabih (Handbook of Mathematical Models in Computer Vision, 2006)

MRF's forMRI's: Bayesian Reconstruction of MR Images via Graph Cuts. - Ashish Raj; Gurmeet Singh; Ramin Zabih (CVPR (1), 2006)

A Comparative Study of Energy Minimization Methods for Markov Random Fields. - Richard Szeliski; Ramin Zabih; Daniel Scharstein; Olga Veksler; Vladimir Kolmogorov; Aseem Agarwala; Marshall F. Tappen; Carsten Rother (ECCV (2), 2006)

Statistical Aspects of Parallel Imaging Reconstruction. - Ashish Raj; Bryan Kressler; Gurmeet Singh; Ramin Zabih; Yi Wang 028 (EMBC, 2006)

Improved Signal-to-Noise Ratio in Parallel Coronary Artery Magnetic Resonance Angiography using Graph Cuts based Bayesian Reconstruction. - Gurmeet Singh; Thanh D. Nguyen; Bryan Kressler; Pascal Spincemaille; Ashish Raj; Ramin Zabih; Yi Wang 028 (EMBC, 2006)

Graph Cuts Segmentation with Statistical Shape Priors for Medical Images. - Jie Zhu-Jacquot; Ramin Zabih (SITIS, 2007)

A Maximum Likelihood Approach to Parallel Imaging With Coil Sensitivity Noise. - Ashish Raj; Yi Wang 028; Ramin Zabih (IEEE Trans. Medical Imaging, 2007)

A New Start: Innovative Introductory AI-Centered Courses at Cornell. - Eric Breck; David A. Easley; K.-Y. Daisy Fan; Jon M. Kleinberg; Lillian Lee; Jennifer Wofford; Ramin Zabih (AAAI Spring Symposium: Using AI to Motivate Greater Participation in Computer Science, 2008)

Solving Linear Inverse Systems with Graph Cuts. - Ramin Zabih (BMVC, 2008)

Segmentation of the left ventricle in cardiac MR images using graph cuts with parametric shape priors. - Jie Zhu-Jacquot; Ramin Zabih (ICASSP, 2008)

Discrete optimization in computer vision. - Nikos Paragios; Ramin Zabih (Comput. Vis. Image Underst., 2008)

Guest Editors' Introduction to the Special Section on CVPR Papers. - Simon Baker; Jiri Matas; Ramin Zabih (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors. - Richard Szeliski; Ramin Zabih; Daniel Scharstein; Olga Veksler; Vladimir Kolmogorov; Aseem Agarwala; Marshall F. Tappen; Carsten Rother (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Corrigendum to "Discrete optimization in computer vision" [Comput. Vis. Image Understanding 112 (2008) 1-2]. - Nikos Paragios; Ramin Zabih (Comput. Vis. Image Underst., 2009)

Editorial. - Ramin Zabih (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Introduction of New Associate Editors. - Ramin Zabih; Zoubin Ghahramani; Jiri Matas (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Globally optimal pixel labeling algorithms for tree metrics. - Pedro F. Felzenszwalb; Gyula Pap; Éva Tardos; Ramin Zabih (CVPR, 2010)

The 30th Anniversary of the IEEE Transactions on Pattern Analysis and Machine Intelligence. - Ramin Zabih (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Editor's Note. - Ramin Zabih; Jiri Matas; Zoubin Ghahramani (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

A graph cut algorithm for higher-order Markov Random Fields. - Alexander Fix; Aritanan Gruber; Endre Boros; Ramin Zabih (ICCV, 2011)

Segmentation of Liver Tumor Using Efficient Global Optimal Tree Metrics Graph Cuts. - Ruogu Fang; Ramin Zabih; Ashish Raj; Tsuhan Chen (Abdominal Imaging, 2011)

Dynamic Programming and Graph Algorithms in Computer Vision. - Pedro F. Felzenszwalb; Ramin Zabih (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Editor's Note. - Ramin Zabih; Zoubin Ghahramani; Sing Bing Kang; Jiri Matas (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Editorial. - Ramin Zabih; Zoubin Ghahramani; Sing Bing Kang; Jiri Matas (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Editor's Note. - Ramin Zabih; Sing Bing Kang; Jiri Matas; Max Welling (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

State of the Journal. - Ramin Zabih; Jiri Matas; Zoubin Ghahramani (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Approximate MRF Inference Using Bounded Treewidth Subgraphs. - Alexander Fix; Joyce Chen; Endre Boros; Ramin Zabih (ECCV (1), 2012)

State of the Journal. - Sing Bing Kang; Jiri Matas; Max Welling; Ramin Zabih (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Editor's Note. - Ramin Zabih; Sing Bing Kang; Neil D. Lawrence; Jiri Matas; Max Welling (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Structured Learning of Sum-of-Submodular Higher Order Energy Functions. - Alexander Fix; Thorsten Joachims; Sung Min Park 002; Ramin Zabih (ICCV, 2013)

Structured learning of sum-of-submodular higher order energy functions. - Alexander Fix; Thorsten Joachims; Sam Park; Ramin Zabih (CoRR, 2013)

Farewell state of the journal. - Ramin Zabih (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

A Primal-Dual Algorithm for Higher-Order Multilabel Markov Random Fields. - Alexander Fix; Chen Wang 050; Ramin Zabih (CVPR, 2014)

Research opportunities in creating medical images. - Ramin Zabih (MVA, 2015)

A Hypergraph-Based Reduction for Higher-Order Binary Markov Random Fields. - Alexander Fix; Aritanan Gruber; Endre Boros; Ramin Zabih (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Relaxation-Based Preprocessing Techniques for Markov Random Field Inference. - Chen Wang 050; Ramin Zabih (CVPR, 2016)

Some medical applications of example-based super-resolution. - Ramin Zabih (CoRR, 2016)

Note Special Issue on Discrete Graphical Models in Biomedical Image Analysis. - Ben Glocker; Nikos Paragios; Ramin Zabih (Medical Image Anal., 2016)

Evaluation of Automated Spectrographic Seizure Detection Using Scale Invariant Feature Transform and Support Vector Machines. - Peter Yan; Fei Wang; Ramin Zabih; Zachary M. Grinspan (AMIA, 2017)

A Discriminative View of MRF Pre-processing Algorithms. - Chen Wang 050; Charles Herrmann; Ramin Zabih (ICCV, 2017)

Automating Perforator Flap MRA and CTA Reporting. - Christopher J. Lange; Nanda Deepa Thimmappa; Srikanth R. Boddu; Silvina P. Dutruel; Mengchao Pei; Zerwa Farooq; Ashkan Heshmatzadeh Behzadi; Yi Wang 028; Ramin Zabih; Martin R. Prince (J. Digit. Imaging, 2017)

Robust Image Stitching with Multiple Registrations. - Charles Herrmann; Chen Wang 050; Richard Strong Bowen; Emil Keyder; Michael Krainin; Ce Liu 001; Ramin Zabih (ECCV (2), 2018)

Object-Centered Image Stitching. - Charles Herrmann; Chen Wang 050; Richard Strong Bowen; Emil Keyder; Ramin Zabih (ECCV (3), 2018)

Deep networks with probabilistic gates. - Charles Herrmann; Richard Strong Bowen; Ramin Zabih (CoRR, 2018)

Learning to Autofocus. - Charles Herrmann; Richard Strong Bowen; Neal Wadhwa; Rahul Garg 002; Qiurui He 001; Jonathan T. Barron; Ramin Zabih (CVPR, 2020)

Channel Selection Using Gumbel Softmax. - Charles Herrmann; Richard Strong Bowen; Ramin Zabih (ECCV (27), 2020)

OCONet: Image Extrapolation by Object Completion. - Richard Strong Bowen; Huiwen Chang; Charles Herrmann; Piotr Teterwak; Ce Liu 001; Ramin Zabih (CVPR, 2021)

AutoFlow: Learning a Better Training Set for Optical Flow. - Deqing Sun; Daniel Vlasic; Charles Herrmann; Varun Jampani; Michael Krainin; Huiwen Chang; Ramin Zabih; William T. Freeman; Ce Liu 001 (CVPR, 2021)

Deep survival analysis with longitudinal X-rays for COVID-19. - Michelle Shu; Richard Strong Bowen; Charles Herrmann; Gengmo Qi; Michele Santacatterina; Ramin Zabih (ICCV, 2021)

Dimensions of Motion: Learning to Predict a Subspace of Optical Flow from a Single Image. - Richard Strong Bowen; Richard Tucker 001; Ramin Zabih; Noah Snavely (CoRR, 2021)

Dimensions of Motion: Monocular Prediction through Flow Subspaces. - Richard Strong Bowen; Richard Tucker 001; Ramin Zabih; Noah Snavely (3DV, 2022)

Pyramid Adversarial Training Improves ViT Performance. - Charles Herrmann; Kyle Sargent; Lu Jiang 004; Ramin Zabih; Huiwen Chang; Ce Liu 001; Dilip Krishnan; Deqing Sun (CVPR, 2022)

Unsupervised Text Deidentification. - John X. Morris; Justin T. Chiu; Ramin Zabih; Alexander M. Rush (EMNLP (Findings), 2022)

Test-Time Distribution Normalization for Contrastively Learned Visual-language Models. - Yifei Zhou; Juntao Ren; Fengyu Li; Ramin Zabih; Ser Nam Lim (NeurIPS, 2023)

Distribution Normalization: An "Effortless" Test-Time Augmentation for Contrastively Learned Visual-language Models. - Yifei Zhou; Juntao Ren; Fengyu Li; Ramin Zabih; Ser-Nam Lim (CoRR, 2023)

DreamWalk: Style Space Exploration Using Diffusion Guidance. - Michelle Shu; Charles Herrmann; Richard Strong Bowen; Forrester Cole; Ramin Zabih (ECCV Workshops (5), 2024)

Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models. - Ali Behrouz; Michele Santacatterina; Ramin Zabih (NeurIPS, 2024)

MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection. - Ali Behrouz; Michele Santacatterina; Ramin Zabih (CoRR, 2024)

DIRI: Adversarial Patient Reidentification with Large Language Models for Evaluating Clinical Text Anonymization. - John X. Morris; Thomas R. Campion Jr.; Sri Laasya Nutheti; Yifan Peng 002; Akhil Raj; Ramin Zabih; Curtis L. Cole (CoRR, 2024)

Improving realistic semi-supervised learning with doubly robust estimation. - Khiem Pham; Charles Herrmann; Ramin Zabih (CoRR, 2025)