Search Results - "ZABIH, Ramin"

Incidence and implications of postoperative supraventricular tachycardia after pulmonary lobectomy by Giambrone, Gregory P., MS, Wu, Xian, MPH, Gaber-Baylis, Licia K., BA, Bhat, Akshay U., MEng, Zabih, Ramin, PhD, Altorki, Nasser K., MD, Fleischut, Peter M., MD, Stiles, Brendon M., MD

“…Abstract Objective We sought to determine the rate of postoperative supraventricular tachycardia (POSVT) in patients undergoing pulmonary lobectomy, and its…”
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Conversion-to-open in laparoscopic appendectomy: A cohort analysis of risk factors and outcomes by Finnerty, Brendan M., MD, Wu, Xian, MPH, Giambrone, Gregory P., MS, Gaber-Baylis, Licia K., BA, Zabih, Ramin, PhD, Bhat, Akshay, MEng, Zarnegar, Rasa, MD, Pomp, Alfons, MD, Fleischut, Peter, MD, Afaneh, Cheguevara, MD

“…Abstract Background Identifying risk factors for conversion from laparoscopic to open appendectomy could select patients who may benefit from primary open…”
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Incidence and Factors Associated With Hospital Readmission After Pulmonary Lobectomy by Stiles, Brendon M., MD, Poon, Andrea, BS, Giambrone, Gregory P., MS, Gaber-Baylis, Licia K., BA, Wu, Xian, MPH, Lee, Paul C., MD, Port, Jeffrey L., MD, Paul, Subroto, MD, Bhat, Akshay U., MEng, Zabih, Ramin, PhD, Altorki, Nasser K., MD, Fleischut, Peter M., MD

“…Background Readmission rates after major procedures are used to benchmark quality of care. We sought to identify readmission diagnoses and factors associated…”
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A graph cut algorithm for higher-order Markov Random Fields by Fix, A., Gruber, A., Boros, E., Zabih, R.

“…Higher-order Markov Random Fields, which can capture important properties of natural images, have become increasingly important in computer vision. While graph…”
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Discrete optimization in computer vision by Paragios, Nikos, Zabih, Ramin

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Farewell state of the journal by Zabih, Ramin

“…The current Editor-in-Chief announces that Professor David Forsyth will serve as the next Editor-in-Chief of the IEEE Transactions on Pattern Analysis and…”
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Globally optimal pixel labeling algorithms for tree metrics by Felzenszwalb, P F, Pap, G, Tardos, E, Zabih, R

“…We consider pixel labeling problems where the label set forms a tree, and where the observations are also labels. Such problems arise in feature-space analysis…”
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Dynamic Programming and Graph Algorithms in Computer Vision by Felzenszwalb, P F, Zabih, R

“…Optimization is a powerful paradigm for expressing and solving problems in a wide range of areas, and has been successfully applied to many vision problems…”
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What energy functions can be minimized via graph cuts? by Kolmogorov, V., Zabin, R.

“…In the last few years, several new algorithms based on graph cuts have been developed to solve energy minimization problems in computer vision. Each of these…”
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Pyramid Adversarial Training Improves ViT Performance by Herrmann, Charles, Sargent, Kyle, Jiang, Lu, Zabih, Ramin, Chang, Huiwen, Liu, Ce, Krishnan, Dilip, Sun, Deqing

“…Aggressive data augmentation is a key component of the strong generalization capabilities of Vision Transformer (ViT). One such data augmentation technique is…”
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The 30th Anniversary of the IEEE Transactions on Pattern Analysis and Machine Intelligence by Zabih, Ramin

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AutoFlow: Learning a Better Training Set for Optical Flow by Sun, Deqing, Vlasic, Daniel, Herrmann, Charles, Jampani, Varun, Krainin, Michael, Chang, Huiwen, Zabih, Ramin, Freeman, William T., Liu, Ce

“…Synthetic datasets play a critical role in pre-training CNN models for optical flow, but they are painstaking to generate and hard to adapt to new…”
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Fast approximate energy minimization via graph cuts by Boykov, Y., Veksler, O., Zabih, R.

“…Many tasks in computer vision involve assigning a label (such as disparity) to every pixel. A common constraint is that the labels should vary smoothly almost…”
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A Hypergraph-Based Reduction for Higher-Order Binary Markov Random Fields by Fix, Alexander, Gruber, Aritanan, Boros, Endre, Zabih, Ramin

“…Higher-order Markov Random Fields, which can capture important properties of natural images, have become increasingly important in computer vision. While graph…”
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A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors by Szeliski, R., Zabih, R., Scharstein, D., Veksler, O., Kolmogorov, V., Agarwala, A., Tappen, M., Rother, C.

“…Among the most exciting advances in early vision has been the development of efficient energy minimization algorithms for pixel-labeling tasks such as depth or…”
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Editorial by Zabih, Ramin

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Editorial by Zabih, Ramin

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Editorial by Zabih, Ramin

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OCONet: Image Extrapolation by Object Completion by Bowen, Richard Strong, Chang, Huiwen, Herrmann, Charles, Teterwak, Piotr, Liu, Ce, Zabih, Ramin

“…Image extrapolation extends an input image beyond the originally-captured field of view. Existing methods struggle to extrapolate images with salient objects…”
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Structured Learning of Sum-of-Submodular Higher Order Energy Functions by Fix, Alexander, Joachims, Thorsten, Sung Min Park, Zabih, Ramin

“…Sub modular functions can be exactly minimized in polynomial time, and the special case that graph cuts solve with max flow [19] has had significant impact in…”
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