| Year |
Citation |
Score |
| 2023 |
Cao K, Xia Y, Yao J, Han X, Lambert L, Zhang T, Tang W, Jin G, Jiang H, Fang X, Nogues I, Li X, Guo W, Wang Y, Fang W, ... ... Yuille AL, et al. Large-scale pancreatic cancer detection via non-contrast CT and deep learning. Nature Medicine. PMID 37985692 DOI: 10.1038/s41591-023-02640-w |
0.418 |
|
| 2023 |
Ichien N, Liu Q, Fu S, Holyoak KJ, Yuille AL, Lu H. Two Computational Approaches to Visual Analogy: Task-Specific Models Versus Domain-General Mapping. Cognitive Science. 47: e13347. PMID 37718474 DOI: 10.1111/cogs.13347 |
0.603 |
|
| 2020 |
Ren Z, Luo W, Yan J, Liao W, Yang X, Yuille A, Zha H, Zha H. STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 32956057 DOI: 10.1109/Tip.2020.3024015 |
0.304 |
|
| 2019 |
Luo C, Yang Z, Wang P, Wang Y, Xu W, Nevatia R, Yuille A. Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 31352333 DOI: 10.1109/Tpami.2019.2930258 |
0.421 |
|
| 2018 |
Tang P, Wang X, Bai S, Shen W, Bai X, Liu W, Yuille AL. PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 30334780 DOI: 10.1109/Tpami.2018.2876304 |
0.361 |
|
| 2017 |
Lugo-Fagundo C, Vogelstein B, Yuille A, Fishman EK. Deep Learning in Radiology: Now the Real Work Begins. Journal of the American College of Radiology : Jacr. PMID 29290592 DOI: 10.1016/J.Jacr.2017.08.007 |
0.311 |
|
| 2017 |
Shen W, Zhao K, Jiang Y, Wang Y, Bai X, Yuille A. DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 28783632 DOI: 10.1109/Tip.2017.2735182 |
0.347 |
|
| 2017 |
Cho NG, Yuille A, Lee SW. A Novel Linelet-based Representation for Line Segment Detection. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 28504933 DOI: 10.1109/TPAMI.2017.2703841 |
0.33 |
|
| 2016 |
Mottaghi R, Fidler S, Yuille A, Urtasun R, Parikh D. Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding. Ieee Transactions On Pattern Analysis and Machine Intelligence. 38: 74-87. PMID 26656579 DOI: 10.1109/Tpami.2015.2437377 |
0.685 |
|
| 2016 |
Wong A, Yuille A. One shot learning via compositions of meaningful patches Proceedings of the Ieee International Conference On Computer Vision. 11: 1197-1205. DOI: 10.1109/ICCV.2015.142 |
0.308 |
|
| 2015 |
Lu H, Rojas RR, Beckers T, Yuille AL. A Bayesian Theory of Sequential Causal Learning and Abstract Transfer. Cognitive Science. PMID 25902728 DOI: 10.1111/Cogs.12236 |
0.57 |
|
| 2012 |
Zhu LL, Chen Y, Lin Y, Lin C, Yuille A. Recursive segmentation and recognition templates for image parsing. Ieee Transactions On Pattern Analysis and Machine Intelligence. 34: 359-71. PMID 22193662 DOI: 10.1109/Tpami.2011.160 |
0.596 |
|
| 2011 |
Kokkinos I, Yuille A. Inference and learning with hierarchical shape models International Journal of Computer Vision. 93: 201-225. DOI: 10.1007/s11263-010-0398-7 |
0.448 |
|
| 2011 |
Zhu L, Chen Y, Lin C, Yuille A. Max margin learning of hierarchical configural deformable templates (HCDTs) for efficient object parsing and pose estimation International Journal of Computer Vision. 93: 1-21. DOI: 10.1007/s11263-010-0375-1 |
0.591 |
|
| 2011 |
Zhu L, Chen Y, Yuille A. Recursive compositional models for vision: Description and review of recent work Journal of Mathematical Imaging and Vision. 41: 122-146. DOI: 10.1007/s10851-011-0282-2 |
0.581 |
|
| 2010 |
Zhu LL, Chen Y, Yuille A. Learning a hierarchical deformable template for rapid deformable object parsing. Ieee Transactions On Pattern Analysis and Machine Intelligence. 32: 1029-43. PMID 20431129 DOI: 10.1109/Tpami.2009.65 |
0.601 |
|
| 2010 |
Lee AL, Yuille A, Lu H. Superior perception of circular/radial than translational motion cannot be explained by generic priors Journal of Vision. 8: 31-31. DOI: 10.1167/8.6.31 |
0.599 |
|
| 2010 |
Yuille A, Lu H. A computational theory for the perception of coherent motion: From ideal observer to generic models Journal of Vision. 6: 1083-1083. DOI: 10.1167/6.6.1083 |
0.596 |
|
| 2010 |
Lu H, Yuille A, Liu Z. Configural processing in biological motion detection: Human versus ideal observers Journal of Vision. 5: 23-23. DOI: 10.1167/5.8.23 |
0.695 |
|
| 2010 |
Lu H, Lin T, Lee A, Vese L, Yuille A. Recovering the functional form of the slow-and-smooth prior in global motion perception Journal of Vision. 10: 819-819. DOI: 10.1167/10.7.819 |
0.587 |
|
| 2010 |
Zhu L, Chen Y, Yuille A, Freeman W. Latent hierarchical structural learning for object detection Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1062-1069. DOI: 10.1109/CVPR.2010.5540096 |
0.513 |
|
| 2010 |
Zhu L, Chen Y, Torralba A, Freeman W, Yuille A. Part and appearance sharing: Recursive compositional models for multi-view multi-object detection Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1919-1926. DOI: 10.1109/CVPR.2010.5539865 |
0.488 |
|
| 2010 |
Zheng S, Yuille A, Tu Z. Detecting object boundaries using low-, mid-, and high-level information Computer Vision and Image Understanding. 114: 1055-1067. DOI: 10.1016/J.Cviu.2010.07.004 |
0.607 |
|
| 2010 |
Yuille A. An information theory perspective on computational vision Frontiers of Electrical and Electronic Engineering in China. 5: 329-346. DOI: 10.1007/s11460-010-0107-x |
0.356 |
|
| 2010 |
Chen Y, Zhu L, Yuille A. Active mask hierarchies for object detection Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6315: 43-56. DOI: 10.1007/978-3-642-15555-0_4 |
0.465 |
|
| 2009 |
Chen Y, Zhu LL, Yuille A, Zhang H. Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation, and recognition using knowledge propagation. Ieee Transactions On Pattern Analysis and Machine Intelligence. 31: 1747-61. PMID 19696447 DOI: 10.1109/Tpami.2009.95 |
0.606 |
|
| 2009 |
Zhu L, Chen Y, Yuille A. Unsupervised learning of Probabilistic Grammar-Markov Models for object categories. Ieee Transactions On Pattern Analysis and Machine Intelligence. 31: 114-28. PMID 19029550 DOI: 10.1109/Tpami.2008.67 |
0.612 |
|
| 2009 |
Yuille A, Zheng S. Compositional noisy-logical learning Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 1209-1216. DOI: 10.1145/1553374.1553528 |
0.524 |
|
| 2009 |
Wu S, Lu H, Lee A, Yuille A. Motion integration using competitive priors Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5604: 235-258. DOI: 10.1007/978-3-642-03061-1_12 |
0.543 |
|
| 2008 |
Tu Z, Zheng S, Yuille A. Shape Matching and Registration by Data-driven EM. Computer Vision and Image Understanding : Cviu. 109: 290-304. PMID 29269996 DOI: 10.1016/J.Cviu.2007.04.004 |
0.601 |
|
| 2008 |
Lu H, Yuille AL, Liljeholm M, Cheng PW, Holyoak KJ. Bayesian generic priors for causal learning. Psychological Review. 115: 955-84. PMID 18954210 DOI: 10.1037/A0013256 |
0.565 |
|
| 2008 |
Corso JJ, Sharon E, Dube S, El-Saden S, Sinha U, Yuille A. Efficient multilevel brain tumor segmentation with integrated bayesian model classification. Ieee Transactions On Medical Imaging. 27: 629-40. PMID 18450536 DOI: 10.1109/Tmi.2007.912817 |
0.579 |
|
| 2008 |
Dube S, Corso JJ, Yuille A, Cloughesy TF, El-Saden S, Sinha U. Hierarchical segmentation of malignant Gliomas via integrated contextual filter response Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6914. DOI: 10.1117/12.770769 |
0.459 |
|
| 2008 |
Zhu L, Chen Y, Lu Y, Lin C, Yuille A. Max margin and/or graph learning for parsing the human body 26th Ieee Conference On Computer Vision and Pattern Recognition, Cvpr. DOI: 10.1109/CVPR.2008.4587787 |
0.485 |
|
| 2008 |
Corso JJ, Yuille A, Tu Z. Graph-shifts: Natural image labeling by dynamic hierarchical computing 26th Ieee Conference On Computer Vision and Pattern Recognition, Cvpr. DOI: 10.1109/CVPR.2008.4587490 |
0.498 |
|
| 2008 |
Chen Y, Yuille A, Zhu L, Zhang H. Unsupervised learning of Probabilistic Object Models (POMs) for object classification, segmentation and recognition 26th Ieee Conference On Computer Vision and Pattern Recognition, Cvpr. DOI: 10.1109/CVPR.2008.4587345 |
0.533 |
|
| 2008 |
Zhu L, Ye X, Chen Y, Yuille A. Structure-perceptron learning of a hierarchical log-linear model 26th Ieee Conference On Computer Vision and Pattern Recognition, Cvpr. DOI: 10.1109/CVPR.2008.4587344 |
0.473 |
|
| 2008 |
Tu Z, Zheng S, Yuille A. Shape matching and registration by data-driven EM Computer Vision and Image Understanding. 109: 290-304. DOI: 10.1016/j.cviu.2007.04.004 |
0.511 |
|
| 2008 |
Corso JJ, Tu Z, Yuille A. MRF labeling with a graph-shifts algorithm Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4958: 172-184. DOI: 10.1007/978-3-540-78275-9-15 |
0.483 |
|
| 2007 |
Corso JJ, Yuille A, Sicotte NL, Toga A. Detection and segmentation of pathological structures by the extended graph-shifts algorithm. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 10: 985-93. PMID 18051154 |
0.568 |
|
| 2007 |
Corso JJ, Tu Z, Yuille A, Toga A. Segmentation of sub-cortical structures by the graph-shifts algorithm. Information Processing in Medical Imaging : Proceedings of the ... Conference. 20: 183-97. PMID 17633699 |
0.563 |
|
| 2007 |
Tu Z, Zheng S, Yuille AL, Reiss AL, Dutton RA, Lee AD, Galaburda AM, Dinov I, Thompson PM, Toga AW. Automated extraction of the cortical sulci based on a supervised learning approach. Ieee Transactions On Medical Imaging. 26: 541-52. PMID 17427741 DOI: 10.1109/Tmi.2007.892506 |
0.573 |
|
| 2007 |
Dube S, Corso JJ, Cloughesy TF, El-Saden S, Yuille AL, Sinha U. Automated MR image processing and analysis of malignant brain tumors: Enabling technology for data mining Aip Conference Proceedings. 953: 64-84. DOI: 10.1063/1.2817354 |
0.459 |
|
| 2006 |
Zheng S, Tu Z, Yuille AL, Reiss AL, Dutton RA, Lee AD, Galaburda AM, Thompson PM, Dinov I, Toga AW. A learning based algorithm for automatic extraction of the cortical sulci. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 9: 695-703. PMID 17354951 DOI: 10.1007/11866565_85 |
0.568 |
|
| 2006 |
Corso JJ, Sharon E, Yuille A. Multilevel segmentation and integrated bayesian model classification with an application to brain tumor segmentation. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 9: 790-8. PMID 17354845 |
0.537 |
|
| 2006 |
Chater N, Tenenbaum JB, Yuille A. Probabilistic models of cognition: where next? Trends in Cognitive Sciences. 10: 292-3. PMID 16781886 DOI: 10.1016/j.tics.2006.05.008 |
0.309 |
|
| 2006 |
Rokers B, Yuille A, Liu Z. The perceived motion of a stereokinetic stimulus. Vision Research. 46: 2375-87. PMID 16540141 DOI: 10.1016/j.visres.2006.01.032 |
0.699 |
|
| 2004 |
Rokers B, Yuille A, Liu Z. Motion Minimization and the Stereokinetic Effect Journal of Vision. 4: 724-724. DOI: 10.1167/4.8.724 |
0.704 |
|
| 2003 |
Yuille A, Coughlan JM, Konishi S. The KGBR viewpoint-lighting ambiguity. Journal of the Optical Society of America. a, Optics, Image Science, and Vision. 20: 24-31. PMID 12542315 DOI: 10.1364/Josaa.20.000024 |
0.331 |
|
| 2000 |
Coughlan J, Yuille A, English C, Snow D. Efficient deformable template detection and localization without user initialization Computer Vision and Image Understanding. 78: 303-319. DOI: 10.1006/cviu.2000.0842 |
0.321 |
|
| 1995 |
Geiger D, Ladendorf B, Yuille A. Occlusions and binocular stereo International Journal of Computer Vision. 14: 211-226. DOI: 10.1007/Bf01679683 |
0.301 |
|
| 1989 |
Jasinschi R, Yuille A. Nonrigid motion and regge calculus Journal of the Optical Society of America a: Optics and Image Science, and Vision. 6: 1088-1095. DOI: 10.1364/JOSAA.6.001088 |
0.348 |
|
| 1988 |
Grzywacz NM, Yuille AL. Massively parallel implementations of theories for apparent motion. Spatial Vision. 3: 15-44. PMID 3153661 DOI: 10.1163/156856888X00032 |
0.334 |
|
| 1986 |
Koch C, Marroquin J, Yuille A. Analog "neuronal" networks in early vision. Proceedings of the National Academy of Sciences of the United States of America. 83: 4263-7. PMID 3459172 DOI: 10.1073/Pnas.83.12.4263 |
0.302 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2015 |
Wang J, Yuille A. Semantic part segmentation using compositional model combining shape and appearance Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 7: 1788-1797. DOI: 10.1109/CVPR.2015.7298788 |
0.296 |
|
| 1987 |
Yuille A. A method for computing spectral reflectance. Biological Cybernetics. 56: 195-201. PMID 3593787 DOI: 10.1007/BF00317994 |
0.294 |
|
| 2005 |
Tu Z, Chen X, Yuille AL, Zhu SC. Image parsing: Unifying segmentation, detection, and recognition International Journal of Computer Vision. 63: 113-140. DOI: 10.1007/S11263-005-6642-X |
0.285 |
|
| 2016 |
Wang P, Shen X, Lin Z, Cohen S, Price B, Yuille A. Joint object and part segmentation using deep learned potentials Proceedings of the Ieee International Conference On Computer Vision. 11: 1573-1581. DOI: 10.1109/ICCV.2015.184 |
0.283 |
|
| 2015 |
Chen X, Yuille A. Parsing occluded people by flexible compositions Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 7: 3945-3954. DOI: 10.1109/CVPR.2015.7299020 |
0.283 |
|
| 2016 |
Ren Z, Wang C, Yuille A. Scene-domain active part models for object representation Proceedings of the Ieee International Conference On Computer Vision. 11: 2497-2505. DOI: 10.1109/ICCV.2015.287 |
0.279 |
|
| 2015 |
Chen LC, Schwing AG, Yuille AL, Urtasun R. Learning deep structured models 32nd International Conference On Machine Learning, Icml 2015. 3: 1785-1794. |
0.278 |
|
| 2016 |
Gao Y, Yuille AL. Symmetric non-rigid structure from motion for category-specific object structure estimation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9906: 408-424. DOI: 10.1007/978-3-319-46475-6_26 |
0.276 |
|
| 1999 |
Yuille AL, Snow D, Epstein R, Belhumeur PN. Determining generative models of objects under varying illumination: Shape and albedo from multiple images using SVD and integrability International Journal of Computer Vision. 35: 203-222. DOI: 10.1023/A:1008180726317 |
0.275 |
|
| 1988 |
Verri A, Yuille A. Some perspective projection invariants Journal of the Optical Society of America a: Optics and Image Science, and Vision. 5: 426-431. DOI: 10.1364/JOSAA.5.000426 |
0.274 |
|
| 1990 |
Yuille A, Geiger D. Stereo and controlled movement International Journal of Computer Vision. 4: 141-152. DOI: 10.1007/Bf00127814 |
0.274 |
|
| 2006 |
Chater N, Tenenbaum JB, Yuille A. Probabilistic models of cognition: conceptual foundations. Trends in Cognitive Sciences. 10: 287-91. PMID 16807064 DOI: 10.1016/j.tics.2006.05.007 |
0.271 |
|
| 1999 |
Rangarajan A, Yuille A, Mjolsness E. Convergence properties of the softassign quadratic assignment algorithm Neural Computation. 11: 1455-1474. PMID 10423503 DOI: 10.1162/089976699300016313 |
0.271 |
|
| 1990 |
Yuille A, Leyton M. 3D symmetry-curvature duality theorems Computer Vision, Graphics, and Image Processing. 52: 124-140. DOI: 10.1016/0734-189X(90)90126-G |
0.27 |
|
| 1984 |
Brady M, Yuille A. An extremum principle for shape from contour. Ieee Transactions On Pattern Analysis and Machine Intelligence. 6: 288-301. PMID 21869195 DOI: 10.1109/TPAMI.1984.4767521 |
0.27 |
|
| 2001 |
Zhu SC, Yuille AL, Lanterman AD. ATR applications of minimax entropy models of texture and shape Proceedings of Spie - the International Society For Optical Engineering. 4379: 574-583. DOI: 10.1117/12.445408 |
0.263 |
|
| 1988 |
Poggio T, Voorhees H, Yuille A. A regularized solution to edge detection Journal of Complexity. 4: 106-123. DOI: 10.1016/0885-064X(88)90024-6 |
0.26 |
|
| 1988 |
Yuille AL, Grzywacz NM. A computational theory for the perception of coherent visual motion. Nature. 333: 71-4. PMID 3362210 DOI: 10.1038/333071a0 |
0.259 |
|
| 2003 |
Cremers D, Yuille A. A generative model based approach to motion segmentation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2781: 313-320. |
0.258 |
|
| 2007 |
Zhu L, Chen Y, Yuille A. Unsupervised learning of a probabilistic grammar for object detection and parsing Advances in Neural Information Processing Systems. 1617-1624. |
0.255 |
|
| 1989 |
Geiger D, Yuille A. Stereo and eye movement. Biological Cybernetics. 62: 117-28. PMID 2597717 DOI: 10.1007/Bf00203000 |
0.253 |
|
| 2003 |
Konishi S, Yuille AL, Coughlan JM, Zhu SC. Statistical edge detection: Learning and evaluating edge cues Ieee Transactions On Pattern Analysis and Machine Intelligence. 25: 57-74. DOI: 10.1109/Tpami.2003.1159946 |
0.253 |
|
| 1996 |
Zhu S, Yuille A. FORMS: A flexible object recognition and modelling system International Journal of Computer Vision. 20. DOI: 10.1007/Bf00208719 |
0.251 |
|
| 2007 |
Kokkinos I, Yuille A. Unsupervised learning of object deformation models Proceedings of the Ieee International Conference On Computer Vision. DOI: 10.1109/ICCV.2007.4408864 |
0.249 |
|
| 2014 |
Guo G, Wang Y, Jiang T, Yuille AL, Fang F, Gao W. A shape reconstructability measure of object part importance with applications to object detection and localization International Journal of Computer Vision. 108: 241-258. DOI: 10.1007/s11263-014-0705-9 |
0.249 |
|
| 2004 |
Kersten D, Mamassian P, Yuille A. Object perception as Bayesian inference. Annual Review of Psychology. 55: 271-304. PMID 14744217 DOI: 10.1146/annurev.psych.55.090902.142005 |
0.248 |
|
| 2016 |
Mao J, Wei X, Yang Y, Wang J, Huang Z, Yuille AL. Learning like a child: Fast novel visual concept learning from sentence descriptions of images Proceedings of the Ieee International Conference On Computer Vision. 11: 2533-2541. DOI: 10.1109/ICCV.2015.291 |
0.247 |
|
| 2011 |
Mottaghi R, Ranganathan A, Yuille A. A compositional approach to learning part-based models of objects Proceedings of the Ieee International Conference On Computer Vision. 561-568. DOI: 10.1109/ICCVW.2011.6130293 |
0.245 |
|
| 1994 |
Xu L, Krzyzak A, Yuille A. On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size Neural Networks. 7: 609-628. DOI: 10.1016/0893-6080(94)90040-X |
0.244 |
|
| 1989 |
Durbin R, Szeliski R, Yuille A. An Analysis of the Elastic Net Approach to the Traveling Salesman Problem Neural Computation. 1: 348-358. DOI: 10.1162/Neco.1989.1.3.348 |
0.243 |
|
| 2020 |
Xia Y, Yang D, Yu Z, Liu F, Cai J, Yu L, Zhu Z, Xu D, Yuille A, Roth H. Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. Medical Image Analysis. 65: 101766. PMID 32623276 DOI: 10.1016/j.media.2020.101766 |
0.236 |
|
| 2016 |
Papandreou G, Chen LC, Murphy KP, Yuille AL. Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation Proceedings of the Ieee International Conference On Computer Vision. 11: 1742-1750. DOI: 10.1109/ICCV.2015.203 |
0.235 |
|
| 2016 |
Xia F, Wang P, Chen LC, Yuille AL. Zoom better to see clearer: Human and object parsing with hierarchical auto-zoom net Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9909: 648-663. DOI: 10.1007/978-3-319-46454-1_39 |
0.233 |
|
| 2001 |
Yuille AL, Coughlan JM, Wu Y, Zhu SC. Order parameters for detecting target curves in images: When does high level knowledge help? International Journal of Computer Vision. 41: 9-33. DOI: 10.1023/A:1011156931605 |
0.231 |
|
| 1997 |
Yuille AL, Ferraro M, Zhang T. Relating image warping to 3D geometrical deformations Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1310: 361-368. DOI: 10.1007/3-540-63507-6_221 |
0.23 |
|
| 2006 |
Kokkinos I, Maragos P, Yuille A. Bottom-up & top-down object detection using primal sketch features and graphical models Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 1893-1900. DOI: 10.1109/CVPR.2006.74 |
0.229 |
|
| 1989 |
Yuille AL. Energy functions for early vision and analog networks. Biological Cybernetics. 61: 115-23. PMID 2742915 DOI: 10.1007/BF00204595 |
0.227 |
|
| 2020 |
Zhang Y, Wang X, Xu Z, Yu Q, Yuille A, Xu D. When Radiology Report Generation Meets Knowledge Graph Proceedings of the Aaai Conference On Artificial Intelligence. 34: 12910-12917. DOI: 10.1609/aaai.v34i07.6989 |
0.227 |
|
| 2014 |
Mao J, Zhu J, Yuille AL. An Active Patch Model for Real World Texture and Appearance Classification. Computer Vision - Eccv ... : ... European Conference On Computer Vision : Proceedings. European Conference On Computer Vision. 8691: 140-155. PMID 25531013 DOI: 10.1007/978-3-319-10578-9_10 |
0.226 |
|
| 2021 |
Wang Y, Tang P, Zhou Y, Shen W, Fishman EK, Yuille AL. Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. Ieee Transactions On Medical Imaging. PMID 33600311 DOI: 10.1109/TMI.2021.3060066 |
0.223 |
|
| 2013 |
Chen LC, Papandreou G, Yuille AL. Learning a Dictionary of Shape Epitomes with Applications to Image Labeling. Proceedings / Ieee International Conference On Computer Vision. Ieee International Conference On Computer Vision. 2013: 337-344. PMID 26321886 DOI: 10.1109/ICCV.2013.49 |
0.222 |
|
| 2013 |
Chen LC, Papandreou G, Yuille AL. Learning a dictionary of shape epitomes with applications to image labeling Proceedings of the Ieee International Conference On Computer Vision. 337-344. DOI: 10.1109/ICCV.2013.49 |
0.222 |
|
| 2009 |
Chen Y, Zhu L, Lin C, Yuille A, Zhang H. Rapid inference on a novel AND/OR graph for object detection, segmentation and parsing Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. |
0.222 |
|
| 2010 |
Lu H, Lin T, Lee ALF, Vese L, Yuille A. Functional form of motion priors in human motion perception Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
0.22 |
|
| 1992 |
XU L, KLASA S, YUILLE A. RECENT ADVANCES ON TECHNIQUES OF STATIC FEEDFORWARD NETWORKS WITH SUPERVISED LEARNING International Journal of Neural Systems. 3: 253-290. DOI: 10.1142/S0129065792000218 |
0.22 |
|
| 2022 |
Zhu H, Yuille A, Kersten D. Three-dimensional pose discrimination in natural images of humans. Cogsci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference. 43: 223-229. PMID 35969705 |
0.22 |
|
| 2014 |
Dong J, Chen Q, Yan S, Yuille A. Towards unified object detection and semantic segmentation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8693: 299-314. DOI: 10.1007/978-3-319-10602-1_20 |
0.219 |
|
| 1991 |
Yuille AL. Deformable templates for face recognition. Journal of Cognitive Neuroscience. 3: 59-70. PMID 23964805 DOI: 10.1162/jocn.1991.3.1.59 |
0.217 |
|
| 2014 |
Lee TS, Massot C, Papandreou G, Yuille A. Sensitivity of early visual cortical neurons to edge visual concepts Journal of Vision. 14: 586-586. DOI: 10.1167/14.10.586 |
0.216 |
|
| 2003 |
Kersten D, Yuille A. Bayesian models of object perception. Current Opinion in Neurobiology. 13: 150-8. PMID 12744967 DOI: 10.1016/S0959-4388(03)00042-4 |
0.216 |
|
| 2014 |
Mottaghi R, Chen X, Liu X, Cho NG, Lee SW, Fidler S, Urtasun R, Yuille A. The role of context for object detection and semantic segmentation in the wild Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 891-898. DOI: 10.1109/CVPR.2014.119 |
0.213 |
|
| 1996 |
Zhu SC, Yuille AL. FORMS: A flexible object recognition and modelling system International Journal of Computer Vision. 20: 187-212. |
0.207 |
|
| 2014 |
Jiayi Ma, Ji Zhao, Jinwen Tian, Yuille AL, Zhuowen Tu. Robust point matching via vector field consensus. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 23: 1706-21. PMID 24808341 DOI: 10.1109/Tip.2014.2307478 |
0.205 |
|
| 2006 |
Yuille A, Kersten D. Vision as Bayesian inference: analysis by synthesis? Trends in Cognitive Sciences. 10: 301-8. PMID 16784882 DOI: 10.1016/j.tics.2006.05.002 |
0.205 |
|
| 2011 |
Yuille AL. Towards a theory of compositional learning and encoding of objects Proceedings of the Ieee International Conference On Computer Vision. 1448-1455. DOI: 10.1109/ICCVW.2011.6130421 |
0.203 |
|
| 2000 |
Burgi PY, Yuille AL, Grzywacz NM. Probabilistic motion estimation based on temporal coherence. Neural Computation. 12: 1839-67. PMID 10953241 |
0.203 |
|
| 2009 |
Jung M, Chung G, Sundaramoorthi G, Vese LA, Yuille AL. Sobolev gradients and joint variational image segmentation, denoising and deblurring Proceedings of Spie - the International Society For Optical Engineering. 7246. DOI: 10.1117/12.806067 |
0.202 |
|
| 2009 |
Kokkinos I, Yuille A. Inference and learning with hierarchical compositional models 2009 Ieee Conference On Computer Vision and Pattern Recognition, Cvpr 2009. 6. DOI: 10.1109/CVPR.2009.5204336 |
0.199 |
|
| 1990 |
Yuille AL. Generalized Deformable Models, Statistical Physics, and Matching Problems Neural Computation. 2: 1-24. DOI: 10.1162/neco.1990.2.1.1 |
0.199 |
|
| 2014 |
Chen X, Mottaghi R, Liu X, Fidler S, Urtasun R, Yuille A. Detect what you can: Detecting and representing objects using holistic models and body parts Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1979-1986. DOI: 10.1109/CVPR.2014.254 |
0.199 |
|
| 2020 |
Ren Z, Yan J, Yang X, Yuille A, Zha H. Unsupervised learning of optical flow with patch consistency and occlusion estimation Pattern Recognition. 103: 107191. DOI: 10.1016/J.Patcog.2019.107191 |
0.198 |
|
| 1988 |
Yuille AL. Creation of structure in dynamic shape . 685-689. |
0.197 |
|
| 2004 |
Yuille A, Fang F, Schrater P, Kersten D. Human and ideal observers for detecting image curves Advances in Neural Information Processing Systems. |
0.194 |
|
| 2011 |
Douglas PK, Harris S, Yuille A, Cohen MS. Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief. Neuroimage. 56: 544-53. PMID 21073969 DOI: 10.1016/J.Neuroimage.2010.11.002 |
0.193 |
|
| 2014 |
Li Y, Hou X, Koch C, Rehg JM, Yuille AL. The secrets of salient object segmentation Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 280-287. DOI: 10.1109/CVPR.2014.43 |
0.192 |
|
| 2020 |
Dreizin D, Zhou Y, Fu S, Wang Y, Li G, Champ K, Siegel E, Wang Z, Chen T, Yuille AL. A Multiscale Deep Learning Method for Quantitative Visualization of Traumatic Hemoperitoneum at CT: Assessment of Feasibility and Comparison with Subjective Categorical Estimation. Radiology. Artificial Intelligence. 2: e190220. PMID 33330848 DOI: 10.1148/ryai.2020190220 |
0.189 |
|
| 2014 |
Lu W, Lian X, Yuille A. Parsing semantic parts of cars using graphical models and segment appearance consistency Bmvc 2014 - Proceedings of the British Machine Vision Conference 2014. |
0.188 |
|
| 2014 |
Yuille AL, Luo J. Guest editorial: Geometry, lighting, motion, and learning International Journal of Computer Vision. 107: 99-100. DOI: 10.1007/S11263-014-0706-8 |
0.186 |
|
| 2010 |
Wu S, He X, Lu H, Yuille A. A unified model of short-range and long-range motion perception Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
0.185 |
|
| 2020 |
Shu M, Liu C, Qiu W, Yuille A. Identifying Model Weakness with Adversarial Examiner Proceedings of the Aaai Conference On Artificial Intelligence. 34: 11998-12006. DOI: 10.1609/aaai.v34i07.6876 |
0.185 |
|
| 2019 |
Gao Y, Yuille AL. Estimation of 3D Category-Specific Object Structure: Symmetry, Manhattan and/or Multiple Images International Journal of Computer Vision. 127: 1501-1526. DOI: 10.1007/s11263-019-01195-z |
0.184 |
|
| 1985 |
Brady M, Yuille A. REPRESENTING THREE-DIMENSIONAL SHAPE . 261-270. |
0.184 |
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| 2011 |
Anderson A, Bramen J, Douglas PK, Lenartowicz A, Cho A, Culbertson C, Brody AL, Yuille AL, Cohen MS. Large Sample Group Independent Component Analysis of Functional Magnetic Resonance Imaging Using Anatomical Atlas-Based Reduction and Bootstrapped Clustering. International Journal of Imaging Systems and Technology. 21: 223-231. PMID 22049263 DOI: 10.1002/Ima.20286 |
0.183 |
|
| 2014 |
Zhu J, Mao J, Yuille A. Learning from weakly supervised data by the expectation loss SVM (e-SVM) algorithm Advances in Neural Information Processing Systems. 2: 1125-1133. |
0.183 |
|
| 2019 |
Park S, Chu LC, Fishman EK, Yuille AL, Vogelstein B, Kinzler KW, Horton KM, Hruban RH, Zinreich ES, Fadaei Fouladi D, Shayesteh S, Graves J, Kawamoto S. Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation. Diagnostic and Interventional Imaging. PMID 31358460 DOI: 10.1016/J.Diii.2019.05.008 |
0.182 |
|
| 2003 |
Coughlan JM, Yuille AL. Manhattan world: orientation and outlier detection by Bayesian inference. Neural Computation. 15: 1063-88. PMID 12803957 DOI: 10.1162/089976603765202668 |
0.182 |
|
| 2017 |
Girshick R, Kokkinos I, Laptev I, Malik J, Papandreou G, Vedaldi A, Wang X, Yan S, Yuille A. Editorial- Deep Learning for Computer Vision Computer Vision and Image Understanding. 164: 1-2. DOI: 10.1016/J.Cviu.2017.11.006 |
0.182 |
|
| 2019 |
Dreizin D, Zhou Y, Zhang Y, Tirada N, Yuille AL. Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT. Journal of Digital Imaging. PMID 31172331 DOI: 10.1007/s10278-019-00207-1 |
0.181 |
|
| 2005 |
Lu H, Yuille A. Ideal observers for detecting motion: Correspondence noise Advances in Neural Information Processing Systems. 827-834. |
0.179 |
|
| 1997 |
Yuille AL, Coughlan J. Twenty questions, focus of attention, and a*: A theoretical comparison of optimization strategies Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1223: 197-212. DOI: 10.1007/3-540-62909-2_81 |
0.179 |
|
| 1999 |
Belhumeur PN, Kriegman DJ, Yuille AL. Bas-relief ambiguity International Journal of Computer Vision. 35: 33-44. DOI: 10.1023/A:1008154927611 |
0.179 |
|
| 2009 |
Wu S, Lu H, Yuille A. Model selection and velocity estimation using novel priors for motion patterns Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1793-1800. |
0.177 |
|
| 2005 |
Zhu L, Yuille A. A hierarchical compositional system for rapid object detection Advances in Neural Information Processing Systems. 1633-1640. |
0.176 |
|
| 1990 |
Grzywacz NM, Yuille AL. A model for the estimate of local image velocity by cells in the visual cortex. Proceedings of the Royal Society of London. Series B, Biological Sciences. 239: 129-61. PMID 1970435 |
0.176 |
|
| 2008 |
Zhu L, Lin C, Huang H, Chen Y, Yuille A. Unsupervised structure learning: Hierarchical recursive composition, suspicious coincidence and competitive exclusion Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5303: 759-773. DOI: 10.1007/978-3-540-88688-4-56 |
0.176 |
|
| 1991 |
Geiger D, Yuille A. A common framework for image segmentation International Journal of Computer Vision. 6: 227-243. DOI: 10.1007/BF00115697 |
0.175 |
|
| 2009 |
Lu H, Weiden M, Yuille A. Modeling the spacing effect in sequential category learning Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1159-1167. |
0.175 |
|
| 2019 |
Chu LC, Park S, Kawamoto S, Wang Y, Zhou Y, Shen W, Zhu Z, Xia Y, Xie L, Liu F, Yu Q, Fouladi DF, Shayesteh S, Zinreich E, Graves JS, ... Yuille AL, et al. Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience. Journal of the American College of Radiology : Jacr. 16: 1338-1342. PMID 31492412 DOI: 10.1016/J.Jacr.2019.05.034 |
0.175 |
|
| 2003 |
Coughlan J, Yuille A. Algorithms from statistical physics for generative models of images Image and Vision Computing. 21: 29-36. DOI: 10.1016/S0262-8856(02)00134-8 |
0.175 |
|
| 2011 |
Ye X, Yuille A. Learning a dictionary of deformable patches using GPUs Proceedings of the Ieee International Conference On Computer Vision. 483-490. DOI: 10.1109/ICCVW.2011.6130282 |
0.175 |
|
| 2021 |
Chu LC, Park S, Kawamoto S, Yuille AL, Hruban RH, Fishman EK. Current Status of Radiomics and Deep Learning in Liver Imaging. Journal of Computer Assisted Tomography. 45: 343-351. PMID 34297507 DOI: 10.1097/RCT.0000000000001169 |
0.174 |
|
| 2004 |
Barbu A, Yuille A. Motion estimation by Swendsen-Wang cuts Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: I754-I761. |
0.173 |
|
| 1989 |
Yuille AL, Grzywacz NM. A mathematical analysis of the motion coherence theory International Journal of Computer Vision. 3: 155-175. DOI: 10.1007/BF00126430 |
0.172 |
|
| 2004 |
Tu Z, Yuille AL. Shape matching and recognition using generative models and informative features Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3023: 195-209. |
0.171 |
|
| 2019 |
Wang Y, Zhou Y, Shen W, Park S, Fishman EK, Yuille AL. Abdominal multi-organ segmentation with organ-attention networks and statistical fusion. Medical Image Analysis. 55: 88-102. PMID 31035060 DOI: 10.1016/J.Media.2019.04.005 |
0.171 |
|
| 2017 |
Chen LC, Papandreou G, Kokkinos I, Murphy K, Yuille AL. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 28463186 DOI: 10.1109/TPAMI.2017.2699184 |
0.169 |
|
| 2020 |
Park S, Chu LC, Fishman EK, Yuille AL, Vogelstein B, Kinzler KW, Horton KM, Hruban RH, Zinreich ES, Fouladi DF, Shayesteh S, Graves J, Kawamoto S. Erratum to "Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation" [Diagn. Interv. Imaging. 101 (2020) 35-44]. Diagnostic and Interventional Imaging. PMID 32446597 DOI: 10.1016/J.Diii.2020.04.009 |
0.169 |
|
| 2015 |
Zhu Y, Zhang Y, Bonev B, Yuille AL. Modeling deformable gradient compositions for single-image super-resolution Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 7: 5417-5425. DOI: 10.1109/CVPR.2015.7299180 |
0.168 |
|
| 2019 |
Zhou Y, Dreizin D, Li Y, Zhang Z, Wang Y, Yuille A. Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures. Machine Learning in Medical Imaging. Mlmi (Workshop). 11861: 461-469. PMID 37396112 DOI: 10.1007/978-3-030-32692-0_53 |
0.168 |
|
| 1984 |
Yuille AL. SMOOTHEST VELOCITY FIELD TOKEN MATCHING SCHEMES . 621-630. |
0.167 |
|
| 1995 |
Xu L, Yuille AL. Robust principal component analysis by self-organizing rules based on statistical physics approach. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 6: 131-43. PMID 18263293 DOI: 10.1109/72.363442 |
0.166 |
|
| 2001 |
Coughlan JM, Yuille AL. The manhattan world assumption: Regularities in scene statistics which enable Bayesian inference Advances in Neural Information Processing Systems. |
0.166 |
|
| 1995 |
Yuille AL, Smirnakis SM, Xu L. Bayesian self-organization driven by prior probability distributions Neural Computation. 7: 580-593. DOI: 10.1162/Neco.1995.7.3.580 |
0.165 |
|
| 2000 |
Konishi S, Yuille AL. Statistical cues for domain specific image segmentation with performance analysis Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: 125-132. |
0.165 |
|
| 2009 |
Kokkinos I, Yuille A. HOP: Hierarchical object parsing 2009 Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops, Cvpr Workshops 2009. 802-809. DOI: 10.1109/CVPRW.2009.5206639 |
0.164 |
|
| 1998 |
Yuille AL, Ferraro M, Zhang T. Image Warping for Shape Recovery and Recognition Computer Vision and Image Understanding. 72: 351-359. |
0.164 |
|
| 2015 |
Ma J, Zhao J, Yuille AL. Non-Rigid Point Set Registration by Preserving Global and Local Structures. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 26276991 DOI: 10.1109/TIP.2015.2467217 |
0.163 |
|
| 1991 |
Yuille AL, Geiger D, Bülthoff HH. Stereo integration, mean Field theory and psychophysics Network: Computation in Neural Systems. 2: 423-442. DOI: 10.1088/0954-898X/2/4/006 |
0.162 |
|
| 2013 |
Fidler S, Mottaghi R, Yuille A, Urtasun R. Bottom-up segmentation for top-down detection Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3294-3301. DOI: 10.1109/CVPR.2013.423 |
0.162 |
|
| 2014 |
Papandreou G, Chen LC, Yuille AL. Modeling Image Patches with a Generic Dictionary of Mini-Epitomes. Proceedings / Cvpr, Ieee Computer Society Conference On Computer Vision and Pattern Recognition. Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2014: 2059-2066. PMID 26321859 DOI: 10.1109/CVPR.2014.264 |
0.161 |
|
| 2014 |
Papandreou G, Chen LC, Yuille AL. Modeling image patches with a generic dictionary of mini-epitomes Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2059-2066. DOI: 10.1109/CVPR.2014.264 |
0.161 |
|
| 2017 |
Gao Y, Ma J, Zhao M, Yuille AL. Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 28362606 DOI: 10.1109/TIP.2017.2675341 |
0.16 |
|
| 2012 |
Yuille AL, Bülthoff HH. Action as an innate bias for visual learning. Proceedings of the National Academy of Sciences of the United States of America. 109: 17736-7. PMID 23091008 DOI: 10.1073/pnas.1215851109 |
0.16 |
|
| 2015 |
Qiu W, Wang X, Bai X, Yuille A, Tu Z. Scale-space sift flow Dense Image Correspondences For Computer Vision. 71-82. DOI: 10.1007/978-3-319-23048-1_4 |
0.157 |
|
| 2011 |
Lee JJ, Lee PH, Lee SW, Yuille A, Koch C. AdaBoost for text detection in natural scene Proceedings of the International Conference On Document Analysis and Recognition, Icdar. 429-434. DOI: 10.1109/ICDAR.2011.93 |
0.157 |
|
| 2015 |
Dong X, Bonev B, Zhu Y, Yuille AL. Region-based temporally consistent video post-processing Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 7: 714-722. DOI: 10.1109/CVPR.2015.7298671 |
0.155 |
|
| 2010 |
Anderson A, Dinov ID, Sherin JE, Quintana J, Yuille AL, Cohen MS. Classification of spatially unaligned fMRI scans. Neuroimage. 49: 2509-19. PMID 19712744 DOI: 10.1016/j.neuroimage.2009.08.036 |
0.155 |
|
| 1999 |
Coughlan JM, Yuille AL. Manhattan World: Compass direction from a single image by Bayesian inference Proceedings of the Ieee International Conference On Computer Vision. 2: 941-947. |
0.155 |
|
| 2019 |
Xie L, Yu Q, Wang Y, Zhou Y, Fishman EK, Yuille AL. Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans. Ieee Transactions On Medical Imaging. PMID 31352338 DOI: 10.1109/TMI.2019.2930679 |
0.153 |
|
| 2014 |
Zhu Y, Zhang Y, Yuille AL. Single Image Super-resolution using Deformable Patches. Proceedings / Cvpr, Ieee Computer Society Conference On Computer Vision and Pattern Recognition. Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2014: 2917-2924. PMID 25473254 DOI: 10.1109/CVPR.2014.373 |
0.153 |
|
| 1994 |
Yuille AL, Stolorz P, Utans J. Statistical Physics, Mixtures of Distributions, and the EM Algorithm Neural Computation. 6: 334-340. DOI: 10.1162/neco.1994.6.2.334 |
0.153 |
|
| 2015 |
Ma J, Qiu W, Zhao J, Ma Y, Yuille AL, Tu Z. Robust L2E estimation of transformation for non-rigid registration Ieee Transactions On Signal Processing. 63: 1115-1129. DOI: 10.1109/Tsp.2014.2388434 |
0.151 |
|
| 2015 |
Jiang W, Long M, Yang LT, Liu X, Jin H, Yuille AL, Chi Y. FIPIP: A novel fine-grained parallel partition based intra-frame prediction on heterogeneous many-core systems Future Generation Computer Systems. DOI: 10.1016/j.future.2016.05.009 |
0.151 |
|
| 2002 |
Coughlan JM, Yuille AL. Bayesian A* tree search with expected O(N) node expansions: applications to road tracking. Neural Computation. 14: 1929-58. PMID 12180408 DOI: 10.1162/089976602760128072 |
0.148 |
|
| 1992 |
Ohlsson M, Peterson C, Yuille AL. Track finding with deformable templates - the elastic arms approach Computer Physics Communications. 71: 77-98. DOI: 10.1016/0010-4655(92)90074-9 |
0.148 |
|
| 2018 |
Zuo W, Lin L, Yuille AL, Bischof H, Zhang L, Porikli F. Guest Editorial Introduction to the Special Issue on Large Scale and Nonlinear Similarity Learning for Intelligent Video Analysis Ieee Transactions On Circuits and Systems For Video Technology. 28: 2441-2448. DOI: 10.1109/TCSVT.2018.2874080 |
0.147 |
|
| 2014 |
Chen X, Yuille A. Articulated pose estimation by a graphical model with image dependent pairwise relations Advances in Neural Information Processing Systems. 2: 1736-1744. |
0.146 |
|
| 2014 |
Wang C, Wang Y, Lin Z, Yuille AL, Gao W. Robust estimation of 3D human poses from a single image Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2369-2376. DOI: 10.1109/CVPR.2014.303 |
0.146 |
|
| 2020 |
Li Y, Bai S, Zhou Y, Xie C, Zhang Z, Yuille A. Learning Transferable Adversarial Examples via Ghost Networks Proceedings of the Aaai Conference On Artificial Intelligence. 34: 11458-11465. DOI: 10.1609/aaai.v34i07.6810 |
0.145 |
|
| 2009 |
Zhu L, Chen Y, Lin Y, Lin C, Yuille A. Recursive segmentation and recognition templates for 2D parsing Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1985-1992. |
0.145 |
|
| 2018 |
Wang C, Wang Y, Lin Z, Yuille A. Robust 3D Human Pose Estimation from Single Images or Video Sequences. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 29993907 DOI: 10.1109/TPAMI.2018.2828427 |
0.141 |
|
| 1995 |
Belhumeur PN, Yuille AL. Recovering object surfaces from viewed changes in surface texture patterns Ieee International Conference On Computer Vision. 876-881. |
0.141 |
|
| 2012 |
Cho NG, Yuille A, Lee SW. Self-occlusion robust 3D human pose tracking from monocular image sequence Conference Proceedings - Ieee International Conference On Systems, Man and Cybernetics. 254-257. DOI: 10.1109/ICSMC.2012.6377709 |
0.141 |
|
| 1994 |
Yuille AL, Kosowsky JJ. Statistical Physics Algorithms That Converge Neural Computation. 6: 341-356. DOI: 10.1162/neco.1994.6.3.341 |
0.14 |
|
| 2011 |
Cho NG, Yuille A, Lee SW. Nonflat observation model and adaptive depth order estimation for 3D human pose tracking 1st Asian Conference On Pattern Recognition, Acpr 2011. 382-386. DOI: 10.1109/ACPR.2011.6166547 |
0.138 |
|
| 1999 |
Konishi S, Yuille AL, Coughlan J, Zhu SC. Fundamental bounds on edge detection: An information theoretic evaluation of different edge cues Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: 573-579. |
0.138 |
|
| 2014 |
Chen LC, Fidler S, Yuille AL, Urtasun R. Beat the MTurkers: Automatic image labeling from weak 3D supervision Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3198-3205. DOI: 10.1109/CVPR.2014.409 |
0.138 |
|
| 2023 |
Braxton AM, Kiemen AL, Grahn MP, Forjaz A, Babu JM, Zheng L, Jiang L, Cheng H, Song Q, Reichel R, Graham S, Damanakis AI, Fischer CG, Mou S, Metz C, ... ... Yuille A, et al. Three-dimensional genomic mapping of human pancreatic tissue reveals striking multifocality and genetic heterogeneity in precancerous lesions. Biorxiv : the Preprint Server For Biology. PMID 36747709 DOI: 10.1101/2023.01.27.525553 |
0.137 |
|
| 2011 |
Papandreou G, Yuille AL. Perturb-and-MAP random fields: Using discrete optimization to learn and sample from energy models Proceedings of the Ieee International Conference On Computer Vision. 193-200. DOI: 10.1109/ICCV.2011.6126242 |
0.137 |
|
| 2012 |
Yuille A, He X. Probabilistic models of vision and max-margin methods Frontiers of Electrical and Electronic Engineering in China. 7: 94-106. DOI: 10.1007/s11460-012-0170-6 |
0.135 |
|
| 2020 |
Dreizin D, Zhou Y, Chen T, Li G, Yuille AL, McLenithan A, Morrison JJ. Deep learning-based quantitative visualization and measurement of extraperitoneal hematoma volumes in patients with pelvic fractures: Potential role in personalized forecasting and decision support. The Journal of Trauma and Acute Care Surgery. 88: 425-433. PMID 32107356 DOI: 10.1097/TA.0000000000002566 |
0.134 |
|
| 2014 |
Anderson A, Douglas PK, Kerr WT, Haynes VS, Yuille AL, Xie J, Wu YN, Brown JA, Cohen MS. Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD. Neuroimage. 102: 207-19. PMID 24361664 DOI: 10.1016/J.Neuroimage.2013.12.015 |
0.133 |
|
| 1999 |
Coughlan JM, Yuille AL. Bayesian a* Tree search with expected o(N) convergence rates for road tracking Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1654: 189-204. DOI: 10.1007/3-540-48432-9_14 |
0.131 |
|
| 2004 |
Chen X, Yuille AL. Detecting and reading text in natural scenes Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: II366-II373. |
0.13 |
|
| 2023 |
Xu Y, Xie L, Xie C, Dai W, Mei J, Qiao S, Shen W, Xiong H, Yuille A. BNET: Batch Normalization With Enhanced Linear Transformation. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 37018583 DOI: 10.1109/TPAMI.2023.3235369 |
0.13 |
|
| 1992 |
Yuille AL, Kolodny JA, Lee CW. Dimension reduction, generalized deformable models and the development of occularity and orientation Proceedings. Ijcnn - International Joint Conference On Neural Networks. 597-602. |
0.13 |
|
| 1996 |
Yuille AL, Kolodny JA, Lee CW. Dimension reduction, generalized deformable models and the development of ocularity and orientation Neural Networks. 9: 309-319. DOI: 10.1016/0893-6080(95)00085-2 |
0.129 |
|
| 2019 |
Shen W, Guo Y, Wang Y, Zhao K, Wang B, Yuille AL. Deep Differentiable Random Forests for Age Estimation. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 31449007 DOI: 10.1109/Tpami.2019.2937294 |
0.128 |
|
| 2001 |
Yuille A. A double-loop algorithm to minimize the bethe free energy Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2134: 3-18. DOI: 10.1007/3-540-44745-8_1 |
0.128 |
|
| 1999 |
Coughlan JM, Yuille AL. A phase space approach to minimax entropy learning and the minutemax approximations Advances in Neural Information Processing Systems. 761-767. |
0.127 |
|
| 1993 |
Watamaniuk SN, Grzywacz NM, Yuille AL. Dependence of speed and direction perception on cinematogram dot density. Vision Research. 33: 849-59. PMID 8351856 DOI: 10.1016/0042-6989(93)90204-A |
0.127 |
|
| 2003 |
Yuille AL, Rangarajan A. The concave-convex procedure. Neural Computation. 15: 915-36. PMID 12689392 DOI: 10.1162/08997660360581958 |
0.125 |
|
| 1989 |
Yuille AL. Zero crossings on lines of curvature Computer Vision, Graphics and Image Processing. 45: 68-87. DOI: 10.1016/0734-189X(89)90071-6 |
0.125 |
|
| 2021 |
Zhou Y, Dreizin D, Wang Y, Liu F, Shen W, Yuille AL. External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data. Ieee Transactions On Medical Imaging. PMID 34968179 DOI: 10.1109/TMI.2021.3139637 |
0.125 |
|
| 2003 |
Konishi S, Yuille A, Coughlan J. A statistical approach to multi-scale edge detection Image and Vision Computing. 21: 37-48. DOI: 10.1016/S0262-8856(02)00131-2 |
0.124 |
|
| 2019 |
Weisberg EM, Chu LC, Park S, Yuille AL, Kinzler KW, Vogelstein B, Fishman EK. Deep lessons learned: Radiology, oncology, pathology, and computer science experts unite around artificial intelligence to strive for earlier pancreatic cancer diagnosis. Diagnostic and Interventional Imaging. PMID 31629672 DOI: 10.1016/J.Diii.2019.09.002 |
0.122 |
|
| 2013 |
Wang C, Wang Y, Yuille AL. An approach to pose-based action recognition Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 915-922. DOI: 10.1109/CVPR.2013.123 |
0.119 |
|
| 1989 |
Yuille AL, Grzywacz NM. A Winner-Take-All Mechanism Based on Presynaptic Inhibition Feedback Neural Computation. 1: 334-347. DOI: 10.1162/neco.1989.1.3.334 |
0.118 |
|
| 2018 |
Dong X, Bonev BI, Li W, Qiu W, Chen X, Yuille AL. Ground-Truth Data Set and Baseline Evaluations for Base-Detail Separation Algorithms at the Part Level Ieee Transactions On Circuits and Systems For Video Technology. 28: 802-806. DOI: 10.1109/TCSVT.2016.2618933 |
0.118 |
|
| 2002 |
Yuille AL. CCCP algorithms to minimize the Bethe and Kikuchi free energies: convergent alternatives to belief propagation. Neural Computation. 14: 1691-722. PMID 12079552 DOI: 10.1162/08997660260028674 |
0.118 |
|
| 1999 |
Yuille AL, Coughlan JM. Convergence rates of algorithms for visual search: Detecting visual contours Advances in Neural Information Processing Systems. 641-647. |
0.116 |
|
| 1993 |
Horn BK, Szeliski RS, Yuille AL. Impossible Shaded Images Ieee Transactions On Pattern Analysis and Machine Intelligence. 15: 166-170. DOI: 10.1109/34.192489 |
0.115 |
|
| 2020 |
Chu LC, Park S, Kawamoto S, Yuille AL, Hruban RH, Fishman EK. Pancreatic Cancer Imaging: A New Look at an Old Problem. Current Problems in Diagnostic Radiology. PMID 32988674 DOI: 10.1067/j.cpradiol.2020.08.002 |
0.111 |
|
| 2015 |
Wang P, Shen X, Lin Z, Cohen S, Price B, Yuille A. Towards unified depth and semantic prediction from a single image Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 7: 2800-2809. DOI: 10.1109/CVPR.2015.7298897 |
0.111 |
|
| 2015 |
Wang P, Yuille A. Error factor analysis for wild scene image-labelling Proceedings - 2015 Ieee Winter Conference On Applications of Computer Vision, Wacv 2015. 781-788. DOI: 10.1109/WACV.2015.109 |
0.108 |
|
| 1995 |
Zhu SC, Lee TS, Yuille AL. Region competition: unifying snakes, region growing, energy/bayes/MDL for multi-band image segmentation Ieee International Conference On Computer Vision. 416-423. |
0.107 |
|
| 1994 |
Kosowsky JJ, Yuille AL. The invisible hand algorithm: Solving the assignment problem with statistical physics Neural Networks. 7: 477-490. DOI: 10.1016/0893-6080(94)90081-7 |
0.107 |
|
| 2020 |
Park S, Chu LC, Hruban RH, Vogelstein B, Kinzler KW, Yuille AL, Fouladi DF, Shayesteh S, Ghandili S, Wolfgang CL, Burkhart R, He J, Fishman EK, Kawamoto S. Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features. Diagnostic and Interventional Imaging. PMID 32278586 DOI: 10.1016/J.Diii.2020.03.002 |
0.103 |
|
| 1998 |
Yuille AL, Snow D, Nitzberg M. Signfinder: Using color to detect, localize and identify informational signs Proceedings of the Ieee International Conference On Computer Vision. 628-633. |
0.103 |
|
| 1999 |
Yuille AL, Coughlan J. High-level and generic models for visual search: When does high level knowledge help? Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 631-637. |
0.102 |
|
| 2012 |
Griffiths TL, Yuille A. A primer on probabilistic inference The Probabilistic Mind: Prospects For Bayesian Cognitive Science. DOI: 10.1093/acprof:oso/9780199216093.003.0002 |
0.102 |
|
| 1995 |
Yang Y, Yuille AL. Multilevel enhancement and detection of stereo disparity surfaces Artificial Intelligence. 78: 121-145. DOI: 10.1016/0004-3702(95)00028-3 |
0.101 |
|
| 2014 |
Bonev B, Yuille AL. A fast and simple algorithm for producing candidate regions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8691: 535-549. DOI: 10.1007/978-3-319-10578-9_35 |
0.1 |
|
| 2003 |
Rangarajan A, Coughlan J, Yuille AL. A Bayesian network framework for relational shape matching Proceedings of the Ieee International Conference On Computer Vision. 1: 671-678. |
0.097 |
|
| 2003 |
Yuille AL, Coughlan JM, Konishi S. The generic viewpoint assumption and planar bias Ieee Transactions On Pattern Analysis and Machine Intelligence. 25: 775-778. DOI: 10.1109/TPAMI.2003.1201826 |
0.095 |
|
| 2013 |
Cho NG, Yuille AL, Lee SW. Adaptive occlusion state estimation for human pose tracking under self-occlusions Pattern Recognition. 46: 649-661. DOI: 10.1016/j.patcog.2012.09.006 |
0.095 |
|
| 2005 |
Yuille A. The rescorla-wagner algorithm and maximum likelihood estimation of causal parameters Advances in Neural Information Processing Systems. |
0.095 |
|
| 1997 |
Rangarajan A, Yuille A, Gold S, Mjolsness E. A convergence proof for the softassign quadratic assignment algorithm Advances in Neural Information Processing Systems. 620-626. |
0.092 |
|
| 1992 |
Yuille A, Vincent L, Geiger D. Statistical morphology and Bayesian reconstruction Journal of Mathematical Imaging and Vision. 1: 223-238. DOI: 10.1007/Bf00129877 |
0.092 |
|
| 2010 |
He X, Yuille A. Occlusion boundary detection using pseudo-depth Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6314: 539-552. DOI: 10.1007/978-3-642-15561-1_39 |
0.091 |
|
| 2020 |
Chu LC, Solmaz B, Park S, Kawamoto S, Yuille AL, Hruban RH, Fishman EK. Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarcinoma vs. healthy controls. Abdominal Radiology (New York). PMID 32372206 DOI: 10.1007/s00261-020-02556-w |
0.089 |
|
| 1988 |
Kammen DM, Yuille AL. Spontaneous symmetry-breaking energy functions and the emergence of orientation selective cortical cells. Biological Cybernetics. 59: 23-31. PMID 3401515 DOI: 10.1007/Bf00336116 |
0.086 |
|
| 1992 |
Yuille AL, Hallinan PW, Cohen DS. Feature extraction from faces using deformable templates International Journal of Computer Vision. 8: 99-111. DOI: 10.1007/BF00127169 |
0.085 |
|
| 2011 |
Guo G, Wang Y, Jiang T, Yuille A, Gao W. Computing importance of 2D contour parts by reconstructability Proceedings of the Ieee International Conference On Computer Vision. 1364-1371. DOI: 10.1109/ICCVW.2011.6130410 |
0.084 |
|
| 2019 |
Chu LC, Park S, Kawamoto S, Fouladi DF, Shayesteh S, Zinreich ES, Graves JS, Horton KM, Hruban RH, Yuille AL, Kinzler KW, Vogelstein B, Fishman EK. Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic Tissue. Ajr. American Journal of Roentgenology. 1-9. PMID 31012758 DOI: 10.2214/Ajr.18.20901 |
0.083 |
|
| 2021 |
Park S, Sham JG, Kawamoto S, Blair AB, Rozich N, Fouladi DF, Shayesteh S, Hruban RH, He J, Wolfgang CL, Yuille AL, Fishman EK, Chu LC. CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal Adenocarcinoma. Ajr. American Journal of Roentgenology. 1-9. PMID 34467768 DOI: 10.2214/AJR.20.23490 |
0.081 |
|
| 1996 |
Bülthoff HH, Yuille AL. A Bayesian framework for the integration of visual modules Attention and Performance. 16: 47-70. |
0.079 |
|
| 1987 |
Yuille AL. Israel-Wilson metrics in the Euclidean regime Classical and Quantum Gravity. 4: 1409-1426. DOI: 10.1088/0264-9381/4/5/034 |
0.074 |
|
| 2013 |
Ma J, Zhao J, Tian J, Tu Z, Yuille AL. Robust estimation of nonrigid transformation for point set registration Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2147-2154. DOI: 10.1109/CVPR.2013.279 |
0.072 |
|
| 1985 |
Yuille AL, Poggio T. Fingerprints theorems for zero crossings Journal of the Optical Society of America a: Optics and Image Science, and Vision. 2: 683-692. DOI: 10.1364/JOSAA.2.000683 |
0.071 |
|
| 2018 |
Wang J, Zhang Z, Xie C, Zhou Y, Premachandran V, Zhu J, Xie L, Yuille A. Visual concepts and compositional voting Annals of Mathematical Sciences and Applications. 3: 151-188. DOI: 10.4310/AMSA.2018.V3.N1.A5 |
0.069 |
|
| 2012 |
Nishiyama Y, Ye X, Yuille AL. A family of CCCP algorithms which minimize the TRW free energy New Generation Computing. 30: 3-16. DOI: 10.1007/s00354-012-0102-2 |
0.069 |
|
| 2009 |
Cremers D, Rosenhahn B, Yuille A, Schmidt FR. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5604: vi. |
0.068 |
|
| 2007 |
Yuille A, Zhu SC, Cremers D, Wang Y. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics: Preface Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4679: V. |
0.068 |
|
| 2021 |
Dreizin D, Chen T, Liang Y, Zhou Y, Paes F, Wang Y, Yuille AL, Roth P, Champ K, Li G, McLenithan A, Morrison JJ. Added value of deep learning-based liver parenchymal CT volumetry for predicting major arterial injury after blunt hepatic trauma: a decision tree analysis. Abdominal Radiology (New York). PMID 33469691 DOI: 10.1007/s00261-020-02892-x |
0.067 |
|
| 1986 |
Yuille AL, Poggio TA. Scaling theorems for zero crossings. Ieee Transactions On Pattern Analysis and Machine Intelligence. 8: 15-25. PMID 21869319 DOI: 10.1109/TPAMI.1986.4767748 |
0.067 |
|
| 1989 |
Yuille AL, Kammen DM, Cohen DS. Quadrature and the development of orientation selective cortical cells by Hebb rules. Biological Cybernetics. 61: 183-94. PMID 2765587 DOI: 10.1007/Bf00198765 |
0.066 |
|
| 2012 |
Yuille AL. Computer vision needs a core and foundations Image and Vision Computing. 30: 469-471. DOI: 10.1016/j.imavis.2011.12.013 |
0.064 |
|
| 2001 |
Yuille AL, Coughlan JM, Konishi S. The KGBR viewpoint-lighting ambiguity and its resolution by generic constraints Proceedings of the Ieee International Conference On Computer Vision. 2: 376-382. |
0.061 |
|
| 1990 |
Lipson P, Yuille AL, O'Keeffe D, Cavanaugh J, Taaffe J, Rosenthal D. Automated bone density calculation using feature extraction by deformable templates Proceedings of the First Conference On Visualization in Biomedical Computing. 477-484. |
0.06 |
|
| 2000 |
Yuille AL. Fundamental limits of Bayesian inference: Order parameters and phase transitions for road tracking Ieee Transactions On Pattern Analysis and Machine Intelligence. 22: 160-173. DOI: 10.1109/34.825754 |
0.059 |
|
| 2005 |
Rosen-Zvi M, Jordan MI, Yuille AL. The DLR hierarchy of approximate inference Proceedings of the 21st Conference On Uncertainty in Artificial Intelligence, Uai 2005. 493-500. |
0.059 |
|
| 2000 |
Yuille AL, Coughlan JM. An A* perspective on deterministic optimization for deformable templates Pattern Recognition. 33: 603-616. |
0.058 |
|
| 1987 |
Yuille A, Leighton M. 3D SYMMETRY-CURVATURE DUALITY THEOREMS . 721-726. |
0.054 |
|
| 2015 |
Dong X, Yuan L, Li W, Yuille AL. Temporally consistent region-based video exposure correction Proceedings - Ieee International Conference On Multimedia and Expo. 2015. DOI: 10.1109/ICME.2015.7177382 |
0.053 |
|
| 2011 |
Papandreou G, Yuille AL. Efficient variational inference in large-scale Bayesian compressed sensing Proceedings of the Ieee International Conference On Computer Vision. 1332-1339. DOI: 10.1109/ICCVW.2011.6130406 |
0.051 |
|
| 2009 |
Yuille A, Lu H. The noisy-logical distribution and its application to causal inference Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. |
0.05 |
|
| 2002 |
Rangarajan A, Yuille AL. MIME: Mutual information minimization and entropy maximization for bayesian belief propagation Advances in Neural Information Processing Systems. |
0.049 |
|
| 1991 |
Kosowsky JJ, Yuille AL. Solving the assignment problem with statistical physics Proceedings. Ijcnn-91-Seattle: International Joint Conference On Neural Networks. 159-164. |
0.049 |
|
| 2014 |
Oldham P, Szerszynski B, Stilgoe J, Brown C, Eacott B, Yuille A. Mapping the landscape of climate engineering. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 372. PMID 25404683 DOI: 10.1098/rsta.2014.0065 |
0.047 |
|
| 2013 |
Hou X, Yuille A, Koch C. Boundary detection benchmarking: Beyond F-measures Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2123-2130. DOI: 10.1109/CVPR.2013.276 |
0.047 |
|
| 1993 |
Elfadel IM, Yuille AL. Mean-field phase transitions and correlation functions for Gibbs random fields Journal of Mathematical Imaging and Vision. 3: 167-186. DOI: 10.1007/BF01250528 |
0.042 |
|
| 1979 |
Yuille AL. Yang-Mills instantons in self-dual spacetimes Physics Letters B. 81: 321-324. DOI: 10.1016/0370-2693(79)90344-7 |
0.042 |
|
| 2005 |
Yuille A. Augmented Rescorla-Wagner and Maximum Likelihood estimation Advances in Neural Information Processing Systems. 1561-1568. |
0.042 |
|
| 2013 |
Liu X, Lin L, Yuille AL. Robust region grouping via internal patch statistics Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1931-1938. DOI: 10.1109/CVPR.2013.252 |
0.04 |
|
| 2000 |
Yuille AL, Coughlan J, Zhu SC, Wu Y. Order parameters for minimax entropy distributions: when does high level knowledge help? Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: 558-565. |
0.04 |
|
| 2005 |
Yuille A. The convergence of contrastive divergences Advances in Neural Information Processing Systems. |
0.032 |
|
| 1988 |
Kammen DM, Yuille AL. Spontaneous symmetry-breaking energy functionsand the emergence of orientation selective cortical cells Biological Cybernetics. 59: 430. DOI: 10.1007/BF00336116 |
0.03 |
|
| 2010 |
Papandreou G, Yuille AL. Gaussian sampling by local perturbations Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
0.026 |
|
| 1988 |
Yuille AL, Kammen DM. Spontaneous symmetry-breaking energy functions, orientation selective cortical cells, and hypercolumnar cell assemblies Neural Networks. 1: 153. DOI: 10.1016/0893-6080(88)90192-X |
0.026 |
|
| 1994 |
Matsugu M, Yuille AL. Spatiotemporal information storage in a content addressable memory using realistic neurons Neural Networks. 7: 419-439. DOI: 10.1016/0893-6080(94)90076-0 |
0.024 |
|
| 2016 |
Premachandran V, Tarlow D, Yuille A, Batra D. Empirical Minimum Bayes Risk Prediction. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 26960219 DOI: 10.1109/TPAMI.2016.2537807 |
0.022 |
|
| 1999 |
Belhumeur PN, Kriegman DJ, Yuille AL. Shadows, shading, and projective ambiguity Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1681: 132-151. |
0.021 |
|
| 2001 |
Yuille AL, Zhu SC, Mumford D. Introduction by guest editors International Journal of Computer Vision. 41: 7. DOI: 10.1023/A:1011104914767 |
0.016 |
|
| 2002 |
Yuille AL, Rangarajan A. The concave-convex procedure (CCCP) Advances in Neural Information Processing Systems. |
0.016 |
|
| 1985 |
Brady M, Ponce J, Yuille A, Asada H. Describing surfaces Computer Vision, Graphics, and Image Processing. 32: 1-28. DOI: 10.1016/0734-189X(85)90001-5 |
0.012 |
|
| 2008 |
Kokkinos I, Yuille A. Scale invariance without scale selection 26th Ieee Conference On Computer Vision and Pattern Recognition, Cvpr. DOI: 10.1109/CVPR.2008.4587798 |
0.011 |
|
| 1978 |
Pope CN, Yuille AL. A Yang-Mills instanton in Taub-NUT space Physics Letters B. 78: 424-426. DOI: 10.1016/0370-2693(78)90476-8 |
0.01 |
|
| 2014 |
Qiu W, Wang X, Bai X, Yuille A, Tu Z. Scale-space SIFT flow 2014 Ieee Winter Conference On Applications of Computer Vision, Wacv 2014. 1112-1119. DOI: 10.1109/WACV.2014.6835734 |
0.01 |
|
| 1984 |
Yuille AL, Poggio T. SCALING THEOREMS FOR ZERO-CROSSINGS . 3-7. |
0.01 |
|
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