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ORCIDRamin Zabih
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- affiliation: Cornell University, Ithaca, USA
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2020 – today
- 2024
[i16]Ali Behrouz, Michele Santacatterina, Ramin Zabih:
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection. CoRR abs/2403.19888 (2024)- [i15]Michelle Shu, Charles Herrmann, Richard Strong Bowen, Forrester Cole, Ramin Zabih:
DreamWalk: Style Space Exploration using Diffusion Guidance. CoRR abs/2404.03145 (2024) - [i14]Ali Behrouz, Michele Santacatterina, Ramin Zabih:
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models. CoRR abs/2406.04320 (2024) - 2023
- [c59]Yifei Zhou, Juntao Ren, Fengyu Li, Ramin Zabih, Ser Nam Lim:
Test-Time Distribution Normalization for Contrastively Learned Visual-language Models. NeurIPS 2023 - [i13]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 abs/2302.11084 (2023) - 2022
- [c58]Richard Strong Bowen, Richard Tucker, Ramin Zabih, Noah Snavely:
Dimensions of Motion: Monocular Prediction through Flow Subspaces. 3DV 2022: 454-464 - [c57]Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun:
Pyramid Adversarial Training Improves ViT Performance. CVPR 2022: 13409-13419 - [c56]John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush:
Unsupervised Text Deidentification. EMNLP (Findings) 2022: 4777-4788 - [i12]John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush:
Unsupervised Text Deidentification. CoRR abs/2210.11528 (2022) - 2021
- [c55]Richard Strong Bowen, Huiwen Chang, Charles Herrmann, Piotr Teterwak, Ce Liu, Ramin Zabih:
OCONet: Image Extrapolation by Object Completion. CVPR 2021: 2307-2317 - [c54]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: 10093-10102 - [c53]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: 4026-4035 - [i11]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 abs/2104.14544 (2021) - [i10]Michelle Shu, Richard Strong Bowen, Charles Herrmann, Gengmo Qi, Michele Santacatterina, Ramin Zabih:
Deep survival analysis with longitudinal X-rays for COVID-19. CoRR abs/2108.09641 (2021) - [i9]Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun:
Pyramid Adversarial Training Improves ViT Performance. CoRR abs/2111.15121 (2021) - [i8]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 abs/2112.01502 (2021) - 2020
- [c52]Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih:
Learning to Autofocus. CVPR 2020: 2227-2236 - [c51]Charles Herrmann
, Richard Strong Bowen, Ramin Zabih:
Channel Selection Using Gumbel Softmax. ECCV (27) 2020: 241-257 - [i7]Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih:
Learning to Autofocus. CoRR abs/2004.12260 (2020) - [i6]Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih:
Robust image stitching with multiple registrations. CoRR abs/2011.11784 (2020) - [i5]Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Ramin Zabih:
Object-centered image stitching. CoRR abs/2011.11789 (2020)
2010 – 2019
- 2018
- [c50]Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih:
Robust Image Stitching with Multiple Registrations. ECCV (2) 2018: 53-69 - [c49]Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Ramin Zabih:
Object-Centered Image Stitching. ECCV (3) 2018: 846-861 - [i4]Charles Herrmann, Richard Strong Bowen, Ramin Zabih:
Deep networks with probabilistic gates. CoRR abs/1812.04180 (2018) - 2017
- [j34]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): 350-357 (2017) - [c48]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 - [c47]Chen Wang, Charles Herrmann, Ramin Zabih:
A Discriminative View of MRF Pre-processing Algorithms. ICCV 2017: 5505-5514 - [i3]Chen Wang, Charles Herrmann, Ramin Zabih:
A discriminative view of MRF pre-processing algorithms. CoRR abs/1708.02668 (2017) - 2016
- [j33]Ben Glocker, Nikos Paragios, Ramin Zabih:
Note Special Issue on Discrete Graphical Models in Biomedical Image Analysis. Medical Image Anal. 27: 1-2 (2016) - [c46]Chen Wang, Ramin Zabih:
Relaxation-Based Preprocessing Techniques for Markov Random Field Inference. CVPR 2016: 5830-5838 - [i2]Ramin Zabih:
Some medical applications of example-based super-resolution. CoRR abs/1604.04926 (2016) - 2015
- [j32]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): 1387-1395 (2015) - [c45]Ramin Zabih:
Research opportunities in creating medical images. MVA 2015: 418-421 - 2014
- [c44]Alexander Fix, Chen Wang, Ramin Zabih:
A Primal-Dual Algorithm for Higher-Order Multilabel Markov Random Fields. CVPR 2014: 1138-1145 - 2013
- [j31]Ramin Zabih:
Farewell state of the journal. IEEE Trans. Pattern Anal. Mach. Intell. 35(1): 1-2 (2013) - [c43]Alexander Fix, Thorsten Joachims, Sung Min Park, Ramin Zabih:
Structured Learning of Sum-of-Submodular Higher Order Energy Functions. ICCV 2013: 3104-3111 - [i1]Alexander Fix, Thorsten Joachims, Sam Park, Ramin Zabih:
Structured learning of sum-of-submodular higher order energy functions. CoRR abs/1309.7512 (2013) - 2012
- [j30]Sing Bing Kang, Jiri Matas, Max Welling, Ramin Zabih:
State of the Journal. IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 1-2 (2012) - [j29]Ramin Zabih, Sing Bing Kang, Neil D. Lawrence, Jiri Matas, Max Welling:
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 209-210 (2012) - [j28]Ramin Zabih, Sing Bing Kang, Neil D. Lawrence, Jiri Matas, Max Welling:
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 34(5): 833 (2012) - [c42]Alexander Fix, Joyce Chen, Endre Boros, Ramin Zabih:
Approximate MRF Inference Using Bounded Treewidth Subgraphs. ECCV (1) 2012: 385-398 - 2011
- [j27]Ramin Zabih, Jiri Matas, Zoubin Ghahramani:
State of the Journal. IEEE Trans. Pattern Anal. Mach. Intell. 33(1): 1-2 (2011) - [j26]Pedro F. Felzenszwalb, Ramin Zabih:
Dynamic Programming and Graph Algorithms in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 33(4): 721-740 (2011) - [j25]Ramin Zabih, Zoubin Ghahramani, Sing Bing Kang, Jiri Matas:
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 33(5): 865-866 (2011) - [j24]Ramin Zabih, Zoubin Ghahramani, Sing Bing Kang, Jiri Matas:
Editorial. IEEE Trans. Pattern Anal. Mach. Intell. 33(9): 1697-1698 (2011) - [j23]Ramin Zabih, Sing Bing Kang, Jiri Matas, Max Welling:
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2129-2130 (2011) - [j22]Ramin Zabih, Sing Bing Kang, Jiri Matas, Max Welling:
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 33(12): 2337-2340 (2011) - [c41]Alexander Fix, Aritanan Gruber, Endre Boros, Ramin Zabih:
A graph cut algorithm for higher-order Markov Random Fields. ICCV 2011: 1020-1027 - [c40]Ruogu Fang, Ramin Zabih, Ashish Raj, Tsuhan Chen:
Segmentation of Liver Tumor Using Efficient Global Optimal Tree Metrics Graph Cuts. Abdominal Imaging 2011: 51-59 - 2010
- [j21]Ramin Zabih:
The 30th Anniversary of the IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE Trans. Pattern Anal. Mach. Intell. 32(1): 1 (2010) - [j20]Ramin Zabih, Jiri Matas, Zoubin Ghahramani:
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 32(5): 769 (2010) - [j19]Ramin Zabih, Jiri Matas, Zoubin Ghahramani:
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 32(8): 1345-1346 (2010) - [j18]Ramin Zabih, Jiri Matas, Zoubin Ghahramani:
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 32(10): 1729 (2010) - [c39]Pedro F. Felzenszwalb, Gyula Pap, Éva Tardos, Ramin Zabih:
Globally optimal pixel labeling algorithms for tree metrics. CVPR 2010: 3153-3160
2000 – 2009
- 2009
- [j17]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): 588 (2009) - [j16]Ramin Zabih:
Editorial. IEEE Trans. Pattern Anal. Mach. Intell. 31(1): 3-4 (2009) - [j15]Ramin Zabih, Zoubin Ghahramani, Jiri Matas:
Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 31(6): 961-963 (2009) - [j14]Ramin Zabih, Jiri Matas, Zoubin Ghahramani:
Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 31(8): 1345-1346 (2009) - 2008
- [j13]Nikos Paragios, Ramin Zabih:
Discrete optimization in computer vision. Comput. Vis. Image Underst. 112(1): 1-2 (2008) - [j12]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): 1068-1080 (2008) - [j11]Simon Baker, Jiri Matas, Ramin Zabih:
Guest Editors' Introduction to the Special Section on CVPR Papers. IEEE Trans. Pattern Anal. Mach. Intell. 30(10): 1681-1682 (2008) - [c38]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: 8-13 - [c37]Ramin Zabih:
Solving Linear Inverse Systems with Graph Cuts. BMVC 2008 - [c36]Jie Zhu-Jacquot, Ramin Zabih:
Segmentation of the left ventricle in cardiac MR images using graph cuts with parametric shape priors. ICASSP 2008: 521-524 - 2007
- [j10]Ashish Raj, Yi Wang, Ramin Zabih:
A Maximum Likelihood Approach to Parallel Imaging With Coil Sensitivity Noise. IEEE Trans. Medical Imaging 26(8): 1046-1057 (2007) - [c35]Jie Zhu-Jacquot, Ramin Zabih:
Graph Cuts Segmentation with Statistical Shape Priors for Medical Images. SITIS 2007: 631-635 - 2006
- [c34]Ashish Raj, Gurmeet Singh, Ramin Zabih:
MRF's forMRI's: Bayesian Reconstruction of MR Images via Graph Cuts. CVPR (1) 2006: 1061-1068 - [c33]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: 16-29 - [c32]Ashish Raj, Bryan Kressler, Gurmeet Singh, Ramin Zabih, Yi Wang:
Statistical Aspects of Parallel Imaging Reconstruction. EMBC 2006: 377-380 - [c31]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: 703-706 - [p1]Vladimir Kolmogorov, Ramin Zabih:
Graph Cut Algorithms for Binocular Stereo with Occlusions. Handbook of Mathematical Models in Computer Vision 2006: 423-437 - 2005
- [c30]Ashish Raj, Ramin Zabih:
A Graph Cut Algorithm for Generalized Image Deconvolution. ICCV 2005: 1048-1054 - 2004
- [j9]Vladimir Kolmogorov, Ramin Zabih:
What Energy Functions Can Be Minimized via Graph Cuts? IEEE Trans. Pattern Anal. Mach. Intell. 26(2): 147-159 (2004) - [c29]Ramin Zabih, Vladimir Kolmogorov:
Spatially Coherent Clustering Using Graph Cuts. CVPR (2) 2004: 437-444 - 2003
- [j8]Jing Huang, S. Ravi Kumar, Ramin Zabih:
Automatic Hierarchical Color Image Classification. EURASIP J. Adv. Signal Process. 2003(2): 151-159 (2003) - [c28]Vladimir Kolmogorov, Ramin Zabih, Steven J. Gortler:
Generalized Multi-camera Scene Reconstruction Using Graph Cuts. EMMCVPR 2003: 501-516 - [c27]Junhwan Kim, Ramin Zabih:
A Segmentation Algorithm for Contrast-Enhanced Images. ICCV 2003: 502-509 - [c26]Junhwan Kim, Vladimir Kolmogorov, Ramin Zabih:
Visual Correspondence Using Energy Minimization and Mutual Information. ICCV 2003: 1033-1040 - 2002
- [c25]Vladimir Kolmogorov, Ramin Zabih:
What Energy Functions Can Be Minimized via Graph Cuts? ECCV (3) 2002: 65-81 - [c24]Vladimir Kolmogorov, Ramin Zabih:
Multi-camera Scene Reconstruction via Graph Cuts. ECCV (3) 2002: 82-96 - [c23]Junhwan Kim, Ramin Zabih:
Factorial Markov Random Fields. ECCV (3) 2002: 321-334 - 2001
- [j7]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): 1049-1052 (2001) - [j6]Yuri Boykov, Olga Veksler, Ramin Zabih:
Fast Approximate Energy Minimization via Graph Cuts. IEEE Trans. Pattern Anal. Mach. Intell. 23(11): 1222-1239 (2001) - [c22]Vladimir Kolmogorov, Ramin Zabih:
Computing Visual Correspondence with Occlusions via Graph Cuts. ICCV 2001: 508-515
1990 – 1999
- 1999
- [j5]Jing Huang, S. Ravi Kumar, Mandar Mitra, Wei-Jing Zhu, Ramin Zabih:
Spatial Color Indexing and Applications. Int. J. Comput. Vis. 35(3): 245-268 (1999) - [j4]Ramin Zabih, Justin Miller, Kevin Mai:
A Feature-Based Algorithm for Detecting and Classifying Production Effects. Multim. Syst. 7(2): 119-128 (1999) - [j3]Greg Pass, Ramin Zabih:
Comparing Images Using Joint Histograms. Multim. Syst. 7(3): 234-240 (1999) - [c21]Vera M. Kettnaker, Ramin Zabih:
Bayesian Multi-Camera Surveillance. CVPR 1999: 2253- - [c20]Yuri Boykov, Olga Veksler, Ramin Zabih:
A New Algorithm for Energy Minimization with Discontinuities. EMMCVPR 1999: 205-220 - [c19]Yuri Boykov, Olga Veksler, Ramin Zabih:
Fast Approximate Energy Minimization via Graph Cuts. ICCV 1999: 377-384 - [c18]Richard Szeliski, Ramin Zabih:
An Experimental Comparison of Stereo Algorithms. Workshop on Vision Algorithms 1999: 1-19 - [c17]Vera M. Kettnaker, Ramin Zabih:
Counting People from Multiple Cameras. ICMCS, Vol. 2 1999: 267-271 - 1998
- [j2]Yuri Boykov, Olga Veksler, Ramin Zabih:
A Variable Window Approach to Early Vision. IEEE Trans. Pattern Anal. Mach. Intell. 20(12): 1283-1294 (1998) - [c16]Yuri Boykov, Olga Veksler, Ramin Zabih:
Markov Random Fields with Efficient Approximations. CVPR 1998: 648-655 - [c15]Jing Huang, Ravi Kumar, Ramin Zabih:
An Automatic Hierarchical Image Classification Scheme. ACM Multimedia 1998: 219-228 - 1997
- [c14]Yuri Boykov, Olga Veksler, Ramin Zabih:
Disparity Component Matching for Visual Correspondence. CVPR 1997: 470-475 - [c13]Jing Huang, Ravi Kumar, Mandar Mitra, Wei-Jing Zhu, Ramin Zabih:
Image Indexing Using Color Correlograms. CVPR 1997: 762-768 - 1996
- [c12]Ramin Zabih, Justin Miller, Kevin Mai:
Video Browsing Using Edges and Motion. CVPR 1996: 439-446 - [c11]Greg Pass, Ramin Zabih, Justin Miller:
Comparing Images Using Color Coherence Vectors. ACM Multimedia 1996: 65-73 - [c10]Greg Pass, Ramin Zabih:
Histogram refinement for content-based image retrieval. WACV 1996: 96-102 - 1995
- [c9]Ramin Zabih, Justin Miller, Kevin Mai:
A Feature-Based Algorithm for Detecting and Classifying Scene Breaks. ACM Multimedia 1995: 189-200 - 1994
- [b1]Ramin Zabih:
Individuating unknown objects by combining motion and stereo. Stanford University, USA, 1994 - [c8]Ramin Zabih, John Woodfill:
Non-parametric Local Transforms for Computing Visual Correspondence. ECCV (2) 1994: 151-158 - 1992
- [j1]Igor Rivin, Ramin Zabih:
A Dynamic Programming Solution to the n-Queens Problem. Inf. Process. Lett. 41(5): 253-256 (1992) - 1991
- [c7]John Woodfill, Ramin Zabih:
An Algorithm for Real-Time Tracking of Non-Rigid Objects. AAAI 1991: 718-723 - 1990
- [c6]Ramin Zabih:
Some Applications of Graph Bandwidth to Constraint Satisfaction Problems. AAAI 1990: 46-51
1980 – 1989
- 1989
- [c5]Igor Rivin, Ramin Zabih:
An Algebraic Approach to Constraint Satisfaction Problems. IJCAI 1989: 284-289 - 1988
- [c4]Ramin Zabih, David A. McAllester:
A Rearrangement Search Strategy for Determining Propositional Satisfiability. AAAI 1988: 155-160 - 1987
- [c3]Ramin Zabih, David A. McAllester, David Chapman:
Non-Deterministic Lisp with Dependency-directed Backtracking. AAAI 1987: 59-65 - 1986
- [c2]Ramin Zabih, Raj Jain:
A performance comparison of the window systems of two LISP machines (abstract). ACM Conference on Computer Science 1986: 458 - [c1]David A. McAllester, Ramin Zabih:
Boolean Classes. OOPSLA 1986: 417-423
Coauthor Index
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