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 |
|
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