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Allan L. Yuille - Publications

Affiliations: 
University of California, Los Angeles, Los Angeles, CA 
Area:
Statistics, Cognitive Psychology
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44 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
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  0.339
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  0.336
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  0.332
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  0.338
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  0.307
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  0.41
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  0.302
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  0.349
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  0.32
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  0.417
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  0.461
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  0.411
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  0.481
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  0.391
2015 Chen LC, Schwing AG, Yuille AL, Urtasun R. Learning deep structured models 32nd International Conference On Machine Learning, Icml 2015. 3: 1785-1794.  0.484
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  0.373
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  0.374
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  0.342
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  0.41
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  0.398
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  0.421
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  0.408
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  0.35
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  0.384
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  0.331
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  0.465
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  0.458
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  0.419
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  0.422
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  0.398
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  0.333
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  0.347
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  0.385
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  0.387
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  0.309
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  0.418
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.  0.413
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  0.334
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  0.305
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  0.33
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.  0.325
1996 Epstein R, Yuille AL, Belhumeur PN. Learning object representations from lighting variations Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1144: 179-199.  0.38
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  0.338
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  0.408
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