Ramin Zabih

ORCID

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 31

Top Venues

Publications

Ali Behrouz, Michele Santacatterina, Ramin Zabih
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models. CoRR (2024)
Ali Behrouz, Michele Santacatterina, Ramin Zabih
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection. CoRR (2024)
Michelle Shu, Charles Herrmann, Richard Strong Bowen, Forrester Cole, Ramin Zabih
DreamWalk: Style Space Exploration using Diffusion Guidance. CoRR (2024)
Yifei Zhou, Juntao Ren, Fengyu Li, Ramin Zabih, Ser Nam Lim
Test-Time Distribution Normalization for Contrastively Learned Visual-language Models. NeurIPS (2023)
Yifei Zhou, Juntao Ren, Fengyu Li, Ramin Zabih, Ser-Nam Lim
Distribution Normalization: An "Effortless" Test-Time Augmentation for Contrastively Learned Visual-language Models. CoRR (2023)
Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun
Pyramid Adversarial Training Improves ViT Performance. CVPR (2022)
Richard Strong Bowen, Richard Tucker, Ramin Zabih, Noah Snavely
Dimensions of Motion: Monocular Prediction through Flow Subspaces. 3DV (2022)
John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush
Unsupervised Text Deidentification. EMNLP (Findings) (2022)
John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush
Unsupervised Text Deidentification. CoRR (2022)
Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu
AutoFlow: Learning a Better Training Set for Optical Flow. CVPR (2021)
Richard Strong Bowen, Huiwen Chang, Charles Herrmann, Piotr Teterwak, Ce Liu, Ramin Zabih
OCONet: Image Extrapolation by Object Completion. CVPR (2021)
Michelle Shu, Richard Strong Bowen, Charles Herrmann, Gengmo Qi, Michele Santacatterina, Ramin Zabih
Deep survival analysis with longitudinal X-rays for COVID-19. ICCV (2021)
Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun
Pyramid Adversarial Training Improves ViT Performance. CoRR (2021)
Michelle Shu, Richard Strong Bowen, Charles Herrmann, Gengmo Qi, Michele Santacatterina, Ramin Zabih
Deep survival analysis with longitudinal X-rays for COVID-19. CoRR (2021)
Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu
AutoFlow: Learning a Better Training Set for Optical Flow. CoRR (2021)
Richard Strong Bowen, Richard Tucker, Ramin Zabih, Noah Snavely
Dimensions of Motion: Learning to Predict a Subspace of Optical Flow from a Single Image. CoRR (2021)
Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Ramin Zabih
Object-centered image stitching. CoRR (2020)
Charles Herrmann, Richard Strong Bowen, Ramin Zabih
Channel Selection Using Gumbel Softmax. ECCV (27) (2020)
Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih
Learning to Autofocus. CVPR (2020)
Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih
Learning to Autofocus. CoRR (2020)
Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih
Robust image stitching with multiple registrations. CoRR (2020)
Charles Herrmann, Richard Strong Bowen, Ramin Zabih
Deep networks with probabilistic gates. CoRR (2018)
Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Ramin Zabih
Object-Centered Image Stitching. ECCV (3) (2018)
Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih
Robust Image Stitching with Multiple Registrations. ECCV (2) (2018)
Peter Yan, Fei Wang, Ramin Zabih, Zachary M. Grinspan
Evaluation of Automated Spectrographic Seizure Detection Using Scale Invariant Feature Transform and Support Vector Machines. AMIA (2017)
Chen Wang, Charles Herrmann, Ramin Zabih
A Discriminative View of MRF Pre-processing Algorithms. ICCV (2017)
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
Automating Perforator Flap MRA and CTA Reporting. J. Digit. Imaging 30 (3) (2017)
Chen Wang, Charles Herrmann, Ramin Zabih
A discriminative view of MRF pre-processing algorithms. CoRR (2017)
Chen Wang, Ramin Zabih
Relaxation-Based Preprocessing Techniques for Markov Random Field Inference. CVPR (2016)
Ben Glocker, Nikos Paragios, Ramin Zabih
Note Special Issue on Discrete Graphical Models in Biomedical Image Analysis. Medical Image Anal. 27 (2016)
Ramin Zabih
Some medical applications of example-based super-resolution. CoRR (2016)
Ramin Zabih
Research opportunities in creating medical images. MVA (2015)
Alexander Fix, Aritanan Gruber, Endre Boros, Ramin Zabih
A Hypergraph-Based Reduction for Higher-Order Binary Markov Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 37 (7) (2015)
Alexander Fix, Chen Wang, Ramin Zabih
A Primal-Dual Algorithm for Higher-Order Multilabel Markov Random Fields. CVPR (2014)
Ramin Zabih
Farewell state of the journal. IEEE Trans. Pattern Anal. Mach. Intell. 35 (1) (2013)
Alexander Fix, Thorsten Joachims, Sung Min Park, Ramin Zabih
Structured Learning of Sum-of-Submodular Higher Order Energy Functions. ICCV (2013)
Alexander Fix, Thorsten Joachims, Sam Park, Ramin Zabih
Structured learning of sum-of-submodular higher order energy functions. CoRR (2013)
Sing Bing Kang, Jiri Matas, Max Welling, Ramin Zabih
State of the Journal. IEEE Trans. Pattern Anal. Mach. Intell. 34 (1) (2012)
Ramin Zabih, Sing Bing Kang, Neil D. Lawrence, Jiri Matas, Max Welling
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 34 (5) (2012)
Alexander Fix, Joyce Chen, Endre Boros, Ramin Zabih
Approximate MRF Inference Using Bounded Treewidth Subgraphs. ECCV (1) (2012)
Ramin Zabih, Sing Bing Kang, Neil D. Lawrence, Jiri Matas, Max Welling
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 34 (2) (2012)
Ramin Zabih, Zoubin Ghahramani, Sing Bing Kang, Jiri Matas
Editorial. IEEE Trans. Pattern Anal. Mach. Intell. 33 (9) (2011)
Ruogu Fang, Ramin Zabih, Ashish Raj, Tsuhan Chen
Segmentation of Liver Tumor Using Efficient Global Optimal Tree Metrics Graph Cuts. Abdominal Imaging (2011)
Ramin Zabih, Zoubin Ghahramani, Sing Bing Kang, Jiri Matas
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 33 (5) (2011)
Ramin Zabih, Sing Bing Kang, Jiri Matas, Max Welling
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 33 (12) (2011)
Ramin Zabih, Jiri Matas, Zoubin Ghahramani
State of the Journal. IEEE Trans. Pattern Anal. Mach. Intell. 33 (1) (2011)
Alexander Fix, Aritanan Gruber, Endre Boros, Ramin Zabih
A graph cut algorithm for higher-order Markov Random Fields. ICCV (2011)
Pedro F. Felzenszwalb, Ramin Zabih
Dynamic Programming and Graph Algorithms in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 33 (4) (2011)
Ramin Zabih, Sing Bing Kang, Jiri Matas, Max Welling
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 33 (11) (2011)
Pedro F. Felzenszwalb, Gyula Pap, Éva Tardos, Ramin Zabih
Globally optimal pixel labeling algorithms for tree metrics. CVPR (2010)
Ramin Zabih
The 30th Anniversary of the IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE Trans. Pattern Anal. Mach. Intell. 32 (1) (2010)
Ramin Zabih, Jiri Matas, Zoubin Ghahramani
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 32 (8) (2010)
Ramin Zabih, Jiri Matas, Zoubin Ghahramani
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 32 (10) (2010)
Ramin Zabih, Jiri Matas, Zoubin Ghahramani
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 32 (5) (2010)
Ramin Zabih
Editorial. IEEE Trans. Pattern Anal. Mach. Intell. 31 (1) (2009)
Nikos Paragios, Ramin Zabih
Corrigendum to "Discrete optimization in computer vision" [Comput. Vis. Image Understanding 112 (2008) 1-2]. Comput. Vis. Image Underst. 113 (4) (2009)
Ramin Zabih, Zoubin Ghahramani, Jiri Matas
Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 31 (6) (2009)
Ramin Zabih, Jiri Matas, Zoubin Ghahramani
Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 31 (8) (2009)
Jie Zhu-Jacquot, Ramin Zabih
Segmentation of the left ventricle in cardiac MR images using graph cuts with parametric shape priors. ICASSP (2008)
Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors. IEEE Trans. Pattern Anal. Mach. Intell. 30 (6) (2008)
Simon Baker, Jiri Matas, Ramin Zabih
Guest Editors' Introduction to the Special Section on CVPR Papers. IEEE Trans. Pattern Anal. Mach. Intell. 30 (10) (2008)
Eric Breck, David A. Easley, K.-Y. Daisy Fan, Jon M. Kleinberg, Lillian Lee, Jennifer Wofford, Ramin Zabih
A New Start: Innovative Introductory AI-Centered Courses at Cornell. AAAI Spring Symposium: Using AI to Motivate Greater Participation in Computer Science (2008)
Ramin Zabih
Solving Linear Inverse Systems with Graph Cuts. BMVC (2008)
Nikos Paragios, Ramin Zabih
Discrete optimization in computer vision. Comput. Vis. Image Underst. 112 (1) (2008)
Jie Zhu-Jacquot, Ramin Zabih
Graph Cuts Segmentation with Statistical Shape Priors for Medical Images. SITIS (2007)
Ashish Raj, Yi Wang, Ramin Zabih
A Maximum Likelihood Approach to Parallel Imaging With Coil Sensitivity Noise. IEEE Trans. Medical Imaging 26 (8) (2007)
Ashish Raj, Bryan Kressler, Gurmeet Singh, Ramin Zabih, Yi Wang
Statistical Aspects of Parallel Imaging Reconstruction. EMBC (2006)
Gurmeet Singh, Thanh D. Nguyen, Bryan Kressler, Pascal Spincemaille, Ashish Raj, Ramin Zabih, Yi Wang
Improved Signal-to-Noise Ratio in Parallel Coronary Artery Magnetic Resonance Angiography using Graph Cuts based Bayesian Reconstruction. EMBC (2006)
Ashish Raj, Gurmeet Singh, Ramin Zabih
MRF's forMRI's: Bayesian Reconstruction of MR Images via Graph Cuts. CVPR (1) (2006)
Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother
A Comparative Study of Energy Minimization Methods for Markov Random Fields. ECCV (2) (2006)
Ashish Raj, Ramin Zabih
A Graph Cut Algorithm for Generalized Image Deconvolution. ICCV (2005)
Ramin Zabih, Vladimir Kolmogorov
Spatially Coherent Clustering Using Graph Cuts. CVPR (2) (2004)
Vladimir Kolmogorov, Ramin Zabih
What Energy Functions Can Be Minimized via Graph Cuts? IEEE Trans. Pattern Anal. Mach. Intell. 26 (2) (2004)
Vladimir Kolmogorov, Ramin Zabih, Steven J. Gortler
Generalized Multi-camera Scene Reconstruction Using Graph Cuts. EMMCVPR (2003)
Jing Huang, S. Ravi Kumar, Ramin Zabih
Automatic Hierarchical Color Image Classification. EURASIP J. Adv. Signal Process. 2003 (2) (2003)
Junhwan Kim, Vladimir Kolmogorov, Ramin Zabih
Visual Correspondence Using Energy Minimization and Mutual Information. ICCV (2003)
Junhwan Kim, Ramin Zabih
A Segmentation Algorithm for Contrast-Enhanced Images. ICCV (2003)
Vladimir Kolmogorov, Ramin Zabih
What Energy Functions Can Be Minimized via Graph Cuts? ECCV (3) (2002)
Vladimir Kolmogorov, Ramin Zabih
Multi-camera Scene Reconstruction via Graph Cuts. ECCV (3) (2002)
Junhwan Kim, Ramin Zabih
Factorial Markov Random Fields. ECCV (3) (2002)
Yuri Boykov, Olga Veksler, Ramin Zabih
Fast Approximate Energy Minimization via Graph Cuts. IEEE Trans. Pattern Anal. Mach. Intell. 23 (11) (2001)
Vladimir Kolmogorov, Ramin Zabih
Computing Visual Correspondence with Occlusions via Graph Cuts. ICCV (2001)
Sven J. Dickinson, Marcello Pelillo, Ramin Zabih
Introduction to the Special Section on Graph Algorithms in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 23 (10) (2001)
Jing Huang, S. Ravi Kumar, Mandar Mitra, Wei-Jing Zhu, Ramin Zabih
Spatial Color Indexing and Applications. Int. J. Comput. Vis. 35 (3) (1999)
Yuri Boykov, Olga Veksler, Ramin Zabih
Fast Approximate Energy Minimization via Graph Cuts. ICCV (1999)
Greg Pass, Ramin Zabih
Comparing Images Using Joint Histograms. Multim. Syst. 7 (3) (1999)
Vera M. Kettnaker, Ramin Zabih
Bayesian Multi-Camera Surveillance. CVPR (1999)
Richard Szeliski, Ramin Zabih
An Experimental Comparison of Stereo Algorithms. Workshop on Vision Algorithms (1999)
Ramin Zabih, Justin Miller, Kevin Mai
A Feature-Based Algorithm for Detecting and Classifying Production Effects. Multim. Syst. 7 (2) (1999)
Vera M. Kettnaker, Ramin Zabih
Counting People from Multiple Cameras. ICMCS, Vol. 2 (1999)
Yuri Boykov, Olga Veksler, Ramin Zabih
A New Algorithm for Energy Minimization with Discontinuities. EMMCVPR (1999)
Yuri Boykov, Olga Veksler, Ramin Zabih
Markov Random Fields with Efficient Approximations. CVPR (1998)
Yuri Boykov, Olga Veksler, Ramin Zabih
A Variable Window Approach to Early Vision. IEEE Trans. Pattern Anal. Mach. Intell. 20 (12) (1998)
Jing Huang, Ravi Kumar, Ramin Zabih
An Automatic Hierarchical Image Classification Scheme. ACM Multimedia (1998)
Yuri Boykov, Olga Veksler, Ramin Zabih
Disparity Component Matching for Visual Correspondence. CVPR (1997)
Jing Huang, Ravi Kumar, Mandar Mitra, Wei-Jing Zhu, Ramin Zabih
Image Indexing Using Color Correlograms. CVPR (1997)
Ramin Zabih, Justin Miller, Kevin Mai
Video Browsing Using Edges and Motion. CVPR (1996)
Greg Pass, Ramin Zabih
Histogram refinement for content-based image retrieval. WACV (1996)
Greg Pass, Ramin Zabih, Justin Miller
Comparing Images Using Color Coherence Vectors. ACM Multimedia (1996)
Ramin Zabih, Justin Miller, Kevin Mai
A Feature-Based Algorithm for Detecting and Classifying Scene Breaks. ACM Multimedia (1995)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ramin Zabih