Ramin Zabih

116 papers A* 31A 3Misc 3Journal 53Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
DeDPO: Debiased Direct Preference Optimization for Diffusion Models.
CoRR
Khiem Pham, Quang Nguyen, Tung Nguyen, Jingsen Zhu, Michele Santacatterina, Dimitris Metaxas, Ramin Zabih
2025 J jnl
Improving realistic semi-supervised learning with doubly robust estimation.
CoRR
Khiem Pham, Charles Herrmann, Ramin Zabih
2024 A* conf
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models.
NeurIPS
Ali Behrouz, Michele Santacatterina, Ramin Zabih
2024 J jnl
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models.
CoRR
Ali Behrouz, Michele Santacatterina, Ramin Zabih
2024 J jnl
DIRI: Adversarial Patient Reidentification with Large Language Models for Evaluating Clinical Text Anonymization.
CoRR
John X. Morris, Thomas R. Campion Jr., Sri Laasya Nutheti, Yifan Peng, Akhil Raj, Ramin Zabih, Curtis L. Cole
2024 — conf
DreamWalk: Style Space Exploration Using Diffusion Guidance.
ECCV Workshops (5)
Michelle Shu, Charles Herrmann, Richard Strong Bowen, Forrester Cole, Ramin Zabih
2024 J jnl
DreamWalk: Style Space Exploration using Diffusion Guidance.
CoRR
Michelle Shu, Charles Herrmann, Richard Strong Bowen, Forrester Cole, Ramin Zabih
2024 J jnl
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection.
CoRR
Ali Behrouz, Michele Santacatterina, Ramin Zabih
2023 J jnl
Distribution Normalization: An "Effortless" Test-Time Augmentation for Contrastively Learned Visual-language Models.
CoRR
Yifei Zhou, Juntao Ren, Fengyu Li, Ramin Zabih, Ser-Nam Lim
2023 A* conf
Test-Time Distribution Normalization for Contrastively Learned Visual-language Models.
NeurIPS
Yifei Zhou, Juntao Ren, Fengyu Li, Ramin Zabih, Ser Nam Lim
2022 — conf
Dimensions of Motion: Monocular Prediction through Flow Subspaces.
3DV
Richard Strong Bowen, Richard Tucker, Ramin Zabih, Noah Snavely
2022 A* conf
Pyramid Adversarial Training Improves ViT Performance.
CVPR
Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun
2022 — conf
Unsupervised Text Deidentification.
EMNLP (Findings)
John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush
2022 J jnl
Unsupervised Text Deidentification.
CoRR
John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush
2021 A* conf
AutoFlow: Learning a Better Training Set for Optical Flow.
CVPR
Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu
2021 J jnl
AutoFlow: Learning a Better Training Set for Optical Flow.
CoRR
Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu
2021 A* conf
Deep survival analysis with longitudinal X-rays for COVID-19.
ICCV
Michelle Shu, Richard Strong Bowen, Charles Herrmann, Gengmo Qi, Michele Santacatterina, Ramin Zabih
2021 J jnl
Deep survival analysis with longitudinal X-rays for COVID-19.
CoRR
Michelle Shu, Richard Strong Bowen, Charles Herrmann, Gengmo Qi, Michele Santacatterina, Ramin Zabih
2021 J jnl
Dimensions of Motion: Learning to Predict a Subspace of Optical Flow from a Single Image.
CoRR
Richard Strong Bowen, Richard Tucker, Ramin Zabih, Noah Snavely
2021 A* conf
OCONet: Image Extrapolation by Object Completion.
CVPR
Richard Strong Bowen, Huiwen Chang, Charles Herrmann, Piotr Teterwak, Ce Liu, Ramin Zabih
2021 J jnl
Pyramid Adversarial Training Improves ViT Performance.
CoRR
Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun
2020 — conf
Channel Selection Using Gumbel Softmax.
ECCV (27)
Charles Herrmann, Richard Strong Bowen, Ramin Zabih
2020 A* conf
Learning to Autofocus.
CVPR
Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih
2020 J jnl
Learning to Autofocus.
CoRR
Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih
2020 J jnl
Object-centered image stitching.
CoRR
Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Ramin Zabih
2020 J jnl
Robust image stitching with multiple registrations.
CoRR
Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih
2018 J jnl
Deep networks with probabilistic gates.
CoRR
Charles Herrmann, Richard Strong Bowen, Ramin Zabih
2018 — conf
Object-Centered Image Stitching.
ECCV (3)
Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Ramin Zabih
2018 — conf
Robust Image Stitching with Multiple Registrations.
ECCV (2)
Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih
2017 A* conf
A Discriminative View of MRF Pre-processing Algorithms.
ICCV
Chen Wang, Charles Herrmann, Ramin Zabih
2017 J jnl
A discriminative view of MRF pre-processing algorithms.
CoRR
Chen Wang, Charles Herrmann, Ramin Zabih
2017 J jnl
Automating Perforator Flap MRA and CTA Reporting.
J. Digit. Imaging
Christopher J. Lange, Nanda Deepa Thimmappa, Srikanth R. Boddu, Silvina P. Dutruel, Mengchao Pei, Zerwa Farooq, Ashkan Heshmatzadeh Behzadi, Yi Wang, Ramin Zabih, Martin R. Prince
2017 Misc conf
Evaluation of Automated Spectrographic Seizure Detection Using Scale Invariant Feature Transform and Support Vector Machines.
AMIA
Peter Yan, Fei Wang, Ramin Zabih, Zachary M. Grinspan
2016 J jnl
Note Special Issue on Discrete Graphical Models in Biomedical Image Analysis.
Medical Image Anal.
Ben Glocker, Nikos Paragios, Ramin Zabih
2016 A* conf
Relaxation-Based Preprocessing Techniques for Markov Random Field Inference.
CVPR
Chen Wang, Ramin Zabih
2016 J jnl
Some medical applications of example-based super-resolution.
CoRR
Ramin Zabih
2015 J jnl
A Hypergraph-Based Reduction for Higher-Order Binary Markov Random Fields.
IEEE Trans. Pattern Anal. Mach. Intell.
Alexander Fix, Aritanan Gruber, Endre Boros, Ramin Zabih
2015 Misc conf
Research opportunities in creating medical images.
MVA
Ramin Zabih
2014 A* conf
A Primal-Dual Algorithm for Higher-Order Multilabel Markov Random Fields.
CVPR
Alexander Fix, Chen Wang, Ramin Zabih
2013 J jnl
Farewell state of the journal.
IEEE Trans. Pattern Anal. Mach. Intell.
Ramin Zabih
2013 A* conf
Structured Learning of Sum-of-Submodular Higher Order Energy Functions.
ICCV
Alexander Fix, Thorsten Joachims, Sung Min Park, Ramin Zabih
2013 J jnl
Structured learning of sum-of-submodular higher order energy functions.
CoRR
Alexander Fix, Thorsten Joachims, Sam Park, Ramin Zabih
2012 — conf
Approximate MRF Inference Using Bounded Treewidth Subgraphs.
ECCV (1)
Alexander Fix, Joyce Chen, Endre Boros, Ramin Zabih
2012 J jnl
Editor's Note.
IEEE Trans. Pattern Anal. Mach. Intell.
Ramin Zabih, Sing Bing Kang, Neil D. Lawrence, Jiri Matas, Max Welling
2012 J jnl
Editor's Note.
IEEE Trans. Pattern Anal. Mach. Intell.
Ramin Zabih, Sing Bing Kang, Neil D. Lawrence, Jiri Matas, Max Welling
2012 J jnl
State of the Journal.
IEEE Trans. Pattern Anal. Mach. Intell.
Sing Bing Kang, Jiri Matas, Max Welling, Ramin Zabih
2011 A* conf
A graph cut algorithm for higher-order Markov Random Fields.
ICCV
Alexander Fix, Aritanan Gruber, Endre Boros, Ramin Zabih
2011 J jnl
Dynamic Programming and Graph Algorithms in Computer Vision.
IEEE Trans. Pattern Anal. Mach. Intell.
Pedro F. Felzenszwalb, Ramin Zabih
2011 J jnl
Editor's Note.
IEEE Trans. Pattern Anal. Mach. Intell.
Ramin Zabih, Zoubin Ghahramani, Sing Bing Kang, Jiri Matas
2011 J jnl
Editor's Note.
IEEE Trans. Pattern Anal. Mach. Intell.
Ramin Zabih, Sing Bing Kang, Jiri Matas, Max Welling
2011 J jnl
Editor's Note.
IEEE Trans. Pattern Anal. Mach. Intell.
Ramin Zabih, Sing Bing Kang, Jiri Matas, Max Welling
2011 J jnl
Editorial.
IEEE Trans. Pattern Anal. Mach. Intell.
Ramin Zabih, Zoubin Ghahramani, Sing Bing Kang, Jiri Matas
2011 — conf
Segmentation of Liver Tumor Using Efficient Global Optimal Tree Metrics Graph Cuts.
Abdominal Imaging
Ruogu Fang, Ramin Zabih, Ashish Raj, Tsuhan Chen
2011 J jnl
State of the Journal.
IEEE Trans. Pattern Anal. Mach. Intell.
Ramin Zabih, Jiri Matas, Zoubin Ghahramani
2010 J jnl
Editor's Note.
IEEE Trans. Pattern Anal. Mach. Intell.
Ramin Zabih, Jiri Matas, Zoubin Ghahramani
2010 J jnl
Editor's Note.
IEEE Trans. Pattern Anal. Mach. Intell.
Ramin Zabih, Jiri Matas, Zoubin Ghahramani
2010 J jnl
Editor's Note.
IEEE Trans. Pattern Anal. Mach. Intell.
Ramin Zabih, Jiri Matas, Zoubin Ghahramani
2010 A* conf
Globally optimal pixel labeling algorithms for tree metrics.
CVPR
Pedro F. Felzenszwalb, Gyula Pap, Éva Tardos, Ramin Zabih
2010 J jnl
The 30th Anniversary of the IEEE Transactions on Pattern Analysis and Machine Intelligence.
IEEE Trans. Pattern Anal. Mach. Intell.
Ramin Zabih
2009 J jnl
Corrigendum to "Discrete optimization in computer vision" [Comput. Vis. Image Understanding 112 (2008) 1-2].
Comput. Vis. Image Underst.
Nikos Paragios, Ramin Zabih
2009 J jnl
Editorial.
IEEE Trans. Pattern Anal. Mach. Intell.
Ramin Zabih
2009 J jnl
Introduction of New Associate Editors.
IEEE Trans. Pattern Anal. Mach. Intell.
Ramin Zabih, Zoubin Ghahramani, Jiri Matas
2009 J jnl
Introduction of New Associate Editors.
IEEE Trans. Pattern Anal. Mach. Intell.
Ramin Zabih, Jiri Matas, Zoubin Ghahramani
2008 J jnl
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors.
IEEE Trans. Pattern Anal. Mach. Intell.
Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother
2008 — conf
A New Start: Innovative Introductory AI-Centered Courses at Cornell.
AAAI Spring Symposium: Using AI to Motivate Greater Participation in Computer Science
Eric Breck, David A. Easley, K.-Y. Daisy Fan, Jon M. Kleinberg, Lillian Lee, Jennifer Wofford, Ramin Zabih
2008 J jnl
Discrete optimization in computer vision.
Comput. Vis. Image Underst.
Nikos Paragios, Ramin Zabih
2008 J jnl
Guest Editors' Introduction to the Special Section on CVPR Papers.
IEEE Trans. Pattern Anal. Mach. Intell.
Simon Baker, Jiri Matas, Ramin Zabih
2008 Misc conf
Segmentation of the left ventricle in cardiac MR images using graph cuts with parametric shape priors.
ICASSP
Jie Zhu-Jacquot, Ramin Zabih
2008 A conf
Solving Linear Inverse Systems with Graph Cuts.
BMVC
Ramin Zabih
2007 J jnl
A Maximum Likelihood Approach to Parallel Imaging With Coil Sensitivity Noise.
IEEE Trans. Medical Imaging
Ashish Raj, Yi Wang, Ramin Zabih
2007 — conf
Graph Cuts Segmentation with Statistical Shape Priors for Medical Images.
SITIS
Jie Zhu-Jacquot, Ramin Zabih
2006 — conf
A Comparative Study of Energy Minimization Methods for Markov Random Fields.
ECCV (2)
Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother
2006 — ch.
Graph Cut Algorithms for Binocular Stereo with Occlusions.
Handbook of Mathematical Models in Computer Vision
Vladimir Kolmogorov, Ramin Zabih
2006 — conf
Improved Signal-to-Noise Ratio in Parallel Coronary Artery Magnetic Resonance Angiography using Graph Cuts based Bayesian Reconstruction.
EMBC
Gurmeet Singh, Thanh D. Nguyen, Bryan Kressler, Pascal Spincemaille, Ashish Raj, Ramin Zabih, Yi Wang
2006 — conf
MRF's forMRI's: Bayesian Reconstruction of MR Images via Graph Cuts.
CVPR (1)
Ashish Raj, Gurmeet Singh, Ramin Zabih
2006 — conf
Statistical Aspects of Parallel Imaging Reconstruction.
EMBC
Ashish Raj, Bryan Kressler, Gurmeet Singh, Ramin Zabih, Yi Wang
2005 A* conf
A Graph Cut Algorithm for Generalized Image Deconvolution.
ICCV
Ashish Raj, Ramin Zabih
2004 — conf
Spatially Coherent Clustering Using Graph Cuts.
CVPR (2)
Ramin Zabih, Vladimir Kolmogorov
2004 J jnl
What Energy Functions Can Be Minimized via Graph Cuts?
IEEE Trans. Pattern Anal. Mach. Intell.
Vladimir Kolmogorov, Ramin Zabih
2003 A* conf
A Segmentation Algorithm for Contrast-Enhanced Images.
ICCV
Junhwan Kim, Ramin Zabih
2003 J jnl
Automatic Hierarchical Color Image Classification.
EURASIP J. Adv. Signal Process.
Jing Huang, S. Ravi Kumar, Ramin Zabih
2003 — conf
Generalized Multi-camera Scene Reconstruction Using Graph Cuts.
EMMCVPR
Vladimir Kolmogorov, Ramin Zabih, Steven J. Gortler
2003 A* conf
Visual Correspondence Using Energy Minimization and Mutual Information.
ICCV
Junhwan Kim, Vladimir Kolmogorov, Ramin Zabih
2002 — conf
Factorial Markov Random Fields.
ECCV (3)
Junhwan Kim, Ramin Zabih
2002 — conf
Multi-camera Scene Reconstruction via Graph Cuts.
ECCV (3)
Vladimir Kolmogorov, Ramin Zabih
2002 — conf
What Energy Functions Can Be Minimized via Graph Cuts?
ECCV (3)
Vladimir Kolmogorov, Ramin Zabih
2001 A* conf
Computing Visual Correspondence with Occlusions via Graph Cuts.
ICCV
Vladimir Kolmogorov, Ramin Zabih
2001 J jnl
Fast Approximate Energy Minimization via Graph Cuts.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuri Boykov, Olga Veksler, Ramin Zabih
2001 J jnl
Introduction to the Special Section on Graph Algorithms in Computer Vision.
IEEE Trans. Pattern Anal. Mach. Intell.
Sven J. Dickinson, Marcello Pelillo, Ramin Zabih
1999 J jnl
A Feature-Based Algorithm for Detecting and Classifying Production Effects.
Multim. Syst.
Ramin Zabih, Justin Miller, Kevin Mai
1999 — conf
A New Algorithm for Energy Minimization with Discontinuities.
EMMCVPR
Yuri Boykov, Olga Veksler, Ramin Zabih
1999 — conf
An Experimental Comparison of Stereo Algorithms.
Workshop on Vision Algorithms
Richard Szeliski, Ramin Zabih
1999 A* conf
Bayesian Multi-Camera Surveillance.
CVPR
Vera M. Kettnaker, Ramin Zabih
1999 J jnl
Comparing Images Using Joint Histograms.
Multim. Syst.
Greg Pass, Ramin Zabih
1999 — conf
Counting People from Multiple Cameras.
ICMCS, Vol. 2
Vera M. Kettnaker, Ramin Zabih
1999 A* conf
Fast Approximate Energy Minimization via Graph Cuts.
ICCV
Yuri Boykov, Olga Veksler, Ramin Zabih
1999 J jnl
Spatial Color Indexing and Applications.
Int. J. Comput. Vis.
Jing Huang, S. Ravi Kumar, Mandar Mitra, Wei-Jing Zhu, Ramin Zabih
1998 J jnl
A Variable Window Approach to Early Vision.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuri Boykov, Olga Veksler, Ramin Zabih
1998 A* conf
An Automatic Hierarchical Image Classification Scheme.
ACM Multimedia
Jing Huang, Ravi Kumar, Ramin Zabih
1998 A* conf
Markov Random Fields with Efficient Approximations.
CVPR
Yuri Boykov, Olga Veksler, Ramin Zabih
1997 A* conf
Disparity Component Matching for Visual Correspondence.
CVPR
Yuri Boykov, Olga Veksler, Ramin Zabih
1997 A* conf
Image Indexing Using Color Correlograms.
CVPR
Jing Huang, Ravi Kumar, Mandar Mitra, Wei-Jing Zhu, Ramin Zabih
1996 A* conf
Comparing Images Using Color Coherence Vectors.
ACM Multimedia
Greg Pass, Ramin Zabih, Justin Miller
1996 A conf
Histogram refinement for content-based image retrieval.
WACV
Greg Pass, Ramin Zabih
1996 A* conf
Video Browsing Using Edges and Motion.
CVPR
Ramin Zabih, Justin Miller, Kevin Mai
1995 A* conf
A Feature-Based Algorithm for Detecting and Classifying Scene Breaks.
ACM Multimedia
Ramin Zabih, Justin Miller, Kevin Mai
1994 — —
Individuating unknown objects by combining motion and stereo.
Ramin Zabih
1994 — conf
Non-parametric Local Transforms for Computing Visual Correspondence.
ECCV (2)
Ramin Zabih, John Woodfill
1992 J jnl
A Dynamic Programming Solution to the n-Queens Problem.
Inf. Process. Lett.
Igor Rivin, Ramin Zabih
1991 A* conf
An Algorithm for Real-Time Tracking of Non-Rigid Objects.
AAAI
John Woodfill, Ramin Zabih
1990 A* conf
Some Applications of Graph Bandwidth to Constraint Satisfaction Problems.
AAAI
Ramin Zabih
1989 A* conf
An Algebraic Approach to Constraint Satisfaction Problems.
IJCAI
Igor Rivin, Ramin Zabih
1988 A* conf
A Rearrangement Search Strategy for Determining Propositional Satisfiability.
AAAI
Ramin Zabih, David A. McAllester
1987 A* conf
Non-Deterministic Lisp with Dependency-directed Backtracking.
AAAI
Ramin Zabih, David A. McAllester, David Chapman
1986 — conf
A performance comparison of the window systems of two LISP machines (abstract).
ACM Conference on Computer Science
Ramin Zabih, Raj Jain
1986 A conf
Boolean Classes.
OOPSLA
David A. McAllester, Ramin Zabih