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Linda G. Shapiro
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- affiliation: University of Washington, Seattle, Washington, USA
Other persons with a similar name
- Linda H. Shapiro — University of Connecticut, School of Medicine, Farmington, CT, USA
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2020 – today
- 2024
- [c149]Kalyani Marathe, Mahtab Bigverdi, Nishat Khan, Tuhin Kundu, Patrick Howe, Sharan Ranjit S, Anand Bhattad, Aniruddha Kembhavi, Linda G. Shapiro, Ranjay Krishna:
MIMIC: Masked Image Modeling with Image Correspondences. CVPR Workshops 2024: 718-727 - [c148]Mehmet Saygin Seyfioglu, Wisdom Oluchi Ikezogwo, Fatemeh Ghezloo, Ranjay Krishna, Linda G. Shapiro:
Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos. CVPR 2024: 13183-13192 - [c147]Kechun Liu, Wenjun Wu, Joann G. Elmore, Linda G. Shapiro:
Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images. MICCAI (5) 2024: 595-605 - [i25]Xinzhe Luo, Xin Wang, Linda Shapiro, Chun Yuan, Jianfeng Feng, Xiahai Zhuang:
Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry. CoRR abs/2401.02141 (2024) - [i24]Kechun Liu, Wenjun Wu, Joann G. Elmore, Linda G. Shapiro:
Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images. CoRR abs/2404.10894 (2024) - [i23]Zixuan Liu, Hanwen Xu, Addie Woicik, Linda G. Shapiro, Marian Blazes, Yue Wu, Cecilia S. Lee, Aaron Y. Lee, Sheng Wang:
OCTCube: A 3D foundation model for optical coherence tomography that improves cross-dataset, cross-disease, cross-device and cross-modality analysis. CoRR abs/2408.11227 (2024) - [i22]Sitong Liu, Kechun Liu, Samuel Margolis, Wenjun Wu, Stevan Knezevich, David E. Elder, Megan M. Eguchi, Joann G. Elmore, Linda G. Shapiro:
Generating Seamless Virtual Immunohistochemical Whole Slide Images with Content and Color Consistency. CoRR abs/2410.01072 (2024) - 2023
- [c146]Wisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Fatemeh Ghezloo, Dylan Stefan Chan Geva, Fatwir Sheikh Mohammed, Pavan Kumar Anand, Ranjay Krishna, Linda G. Shapiro:
Quilt-1M: One Million Image-Text Pairs for Histopathology. NeurIPS 2023 - [c145]Kechun Liu, Beibin Li, Wenjun Wu, Caitlin J. May, Oliver Chang, Stevan Knezevich, Lisa M. Reisch, Joann G. Elmore, Linda G. Shapiro:
VSGD-Net: Virtual Staining Guided Melanocyte Detection on Histopathological Images. WACV 2023: 1918-1927 - [i21]Wisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Fatemeh Ghezloo, Dylan Stefan Chan Geva, Fatwir Sheikh Mohammed, Pavan Kumar Anand, Ranjay Krishna, Linda G. Shapiro:
Quilt-1M: One Million Image-Text Pairs for Histopathology. CoRR abs/2306.11207 (2023) - [i20]Kalyani Marathe, Mahtab Bigverdi, Nishat Khan, Tuhin Kundu, Aniruddha Kembhavi, Linda G. Shapiro, Ranjay Krishna:
MIMIC: Masked Image Modeling with Image Correspondences. CoRR abs/2306.15128 (2023) - [i19]Mehmet Saygin Seyfioglu, Wisdom Oluchi Ikezogwo, Fatemeh Ghezloo, Ranjay Krishna, Linda G. Shapiro:
Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos. CoRR abs/2312.04746 (2023) - 2022
- [j75]Kalyani Marathe, Chrysostomos Marasinou, Beibin Li, Noor Nakhaei, Bo Li, Joann G. Elmore, Linda G. Shapiro, William Hsu:
Automated quantitative assessment of amorphous calcifications: Towards improved malignancy risk stratification. Comput. Biol. Medicine 146: 105504 (2022) - [j74]Shima Nofallah, Wenjun Wu, Kechun Liu, Fatemeh Ghezloo, Joann G. Elmore, Linda G. Shapiro:
Automated analysis of whole slide digital skin biopsy images. Frontiers Artif. Intell. 5 (2022) - [j73]Shima Nofallah, Mojgan Mokhtari, Wenjun Wu, Sachin Mehta, Stevan Knezevich, Caitlin J. May, Oliver Chang, Annie C. Lee, Joann G. Elmore, Linda G. Shapiro:
Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net. J. Digit. Imaging 35(5): 1238-1249 (2022) - [j72]Sachin Mehta, Ximing Lu, Wenjun Wu, Donald L. Weaver, Hannaneh Hajishirzi, Joann G. Elmore, Linda G. Shapiro:
End-to-End diagnosis of breast biopsy images with transformers. Medical Image Anal. 79: 102466 (2022) - [c144]Beibin Li, James C. Snider, Quan Wang, Sachin Mehta, Claire E. Foster, Erin Barney, Linda G. Shapiro, Pamela Ventola, Frederick Shic:
Calibration Error Prediction: Ensuring High-Quality Mobile Eye-Tracking. ETRA 2022: 17:1-17:7 - [c143]Mehmet Saygin Seyfioglu, Zixuan Liu, Pranav Kamath, Sadjyot Gangolli, Sheng Wang, Thomas J. Grabowski, Linda G. Shapiro:
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease. MICCAI (1) 2022: 461-470 - [i18]Mehmet Saygin Seyfioglu, Zixuan Liu, Pranav Kamath, Sadjyot Gangolli, Sheng Wang, Thomas J. Grabowski, Linda G. Shapiro:
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease. CoRR abs/2207.04574 (2022) - [i17]Wisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Linda G. Shapiro:
Multi-modal Masked Autoencoders Learn Compositional Histopathological Representations. CoRR abs/2209.01534 (2022) - 2021
- [j71]Wenjun Wu, Sachin Mehta, Shima Nofallah, Stevan Knezevich, Caitlin J. May, Oliver Chang, Joann G. Elmore, Linda G. Shapiro:
Scale-Aware Transformers for Diagnosing Melanocytic Lesions. IEEE Access 9: 163526-163541 (2021) - [j70]Shima Nofallah, Sachin Mehta, Ezgi Mercan, Stevan Knezevich, Caitlin J. May, Donald L. Weaver, Daniela M. Witten, Joann G. Elmore, Linda G. Shapiro:
Machine learning techniques for mitoses classification. Comput. Medical Imaging Graph. 87: 101832 (2021) - [j69]Shima Nofallah, Sachin Mehta, Ezgi Mercan, Stevan Knezevich, Caitlin J. May, Donald L. Weaver, Daniela M. Witten, Joann G. Elmore, Linda G. Shapiro:
Corrigendum to "Machine learning techniques for mitoses classification" [Comput. Med. Imaging Graphics 87 January (2021) 101832]. Comput. Medical Imaging Graph. 90: 101903 (2021) - [j68]Caner Mercan, Bulut Aygünes, Selim Aksoy, Ezgi Mercan, Linda G. Shapiro, Donald L. Weaver, Joann G. Elmore:
Deep Feature Representations for Variable-Sized Regions of Interest in Breast Histopathology. IEEE J. Biomed. Health Informatics 25(6): 2041-2049 (2021) - [c142]Ximing Lu, Sachin Mehta, Tad T. Brunyé, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Analysis of Regions of Interest and Distractor Regions in Breast Biopsy Images. BHI 2021: 1-4 - [c141]Kechun Liu, Mojgan Mokhtari, Beibin Li, Shima Nofallah, Caitlin J. May, Oliver Chang, Stevan Knezevich, Joann G. Elmore, Linda G. Shapiro:
Learning Melanocytic Proliferation Segmentation in Histopathology Images From Imperfect Annotations. CVPR Workshops 2021: 3766-3775 - [c140]Bindita Chaudhuri, Nikolaos Sarafianos, Linda G. Shapiro, Tony Tung:
Semi-Supervised Synthesis of High-Resolution Editable Textures for 3D Humans. CVPR 2021: 7991-8000 - [c139]Jainendra Shukla, Puneet Gupta, Aniket Bera, Arka Sarkar, Prakhar Goel, Shubhangi Butta, Anup Kumar Gupta, Snehil Sanyal, Debanga Raj Neog, Manas Kamal Bhuyan, Kalyani Marathe, Linda G. Shapiro, Alex Colbrn, Varchita Lalwani:
Contextual Emotion Learning Challenge. FG 2021: 1-7 - [c138]Beibin Li, Nicholas Nuechterlein, Erin Barney, Claire E. Foster, Minah Kim, Monique Mahony, Adham Atyabi, Li Feng, Quan Wang, Pamela Ventola, Linda G. Shapiro, Frederick Shic:
Learning Oculomotor Behaviors from Scanpath. ICMI 2021: 407-415 - [i16]Bindita Chaudhuri, Nikolaos Sarafianos, Linda G. Shapiro, Tony Tung:
Semi-supervised Synthesis of High-Resolution Editable Textures for 3D Humans. CoRR abs/2103.17266 (2021) - [i15]Beibin Li, Nicholas Nuechterlein, Erin Barney, Claire E. Foster, Minah Kim, Monique Mahony, Adham Atyabi, Li Feng, Quan Wang, Pamela Ventola, Linda G. Shapiro, Frederick Shic:
Learning Oculomotor Behaviors from Scanpath. CoRR abs/2108.05025 (2021) - 2020
- [j67]Linda G. Shapiro:
Computer vision: the last 50 years. Int. J. Parallel Emergent Distributed Syst. 35(2): 112-117 (2020) - [c137]Bindita Chaudhuri, Noranart Vesdapunt, Linda G. Shapiro, Baoyuan Wang:
Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting. ECCV (5) 2020: 142-160 - [c136]Beibin Li, Erin Barney, Caitlin Hudac, Nicholas Nuechterlein, Pamela Ventola, Linda G. Shapiro, Frederick Shic:
Selection of Eye-Tracking Stimuli for Prediction by Sparsely Grouped Input Variables for Neural Networks: towards Biomarker Refinement for Autism. ETRA 2020: 21:1-21:8 - [c135]Nicholas Nuechterlein, Beibin Li, Mehmet Saygin Seyfioglu, Sachin Mehta, Patrick J. Cimino, Linda G. Shapiro:
Leveraging Unlabeled Data for Glioma Molecular Subtype and Survival Prediction. ICPR 2020: 7149-7156 - [c134]Beibin Li, Ezgi Mercan, Sachin Mehta, Stevan Knezevich, Corey W. Arnold, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline. ICPR 2020: 8727-8734 - [i14]Bindita Chaudhuri, Noranart Vesdapunt, Linda G. Shapiro, Baoyuan Wang:
Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting. CoRR abs/2007.06759 (2020) - [i13]Sachin Mehta, Ximing Lu, Donald L. Weaver, Joann G. Elmore, Hannaneh Hajishirzi, Linda G. Shapiro:
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images. CoRR abs/2007.13007 (2020) - [i12]Beibin Li, Ezgi Mercan, Sachin Mehta, Stevan Knezevich, Corey W. Arnold, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline. CoRR abs/2012.06136 (2020)
2010 – 2019
- 2019
- [c133]Sachin Mehta, Mohammad Rastegari, Linda G. Shapiro, Hannaneh Hajishirzi:
ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network. CVPR 2019: 9190-9200 - [c132]Beibin Li, Sachin Mehta, Deepali Aneja, Claire E. Foster, Pamela Ventola, Frederick Shic, Linda G. Shapiro:
A Facial Affect Analysis System for Autism Spectrum Disorder. ICIP 2019: 4549-4553 - [c131]Caner Mercan, Selim Aksoy, Ezgi Mercan, Linda G. Shapiro, Donald L. Weaver, Joann G. Elmore:
From patch-level to ROI-level deep feature representations for breast histopathology classification. Digital Pathology 2019: 109560H - [i11]Beibin Li, Sachin Mehta, Deepali Aneja, Claire E. Foster, Pamela Ventola, Frederick Shic, Linda G. Shapiro:
A Facial Affect Analysis System for Autism Spectrum Disorder. CoRR abs/1904.03616 (2019) - [i10]Deepali Aneja, Alex Colburn, Gary Faigin, Linda G. Shapiro, Barbara Mones:
Learning Stylized Character Expressions from Humans. CoRR abs/1911.08591 (2019) - [i9]Beibin Li, Nicholas Nuechterlein, Erin Barney, Caitlin Hudac, Pamela Ventola, Linda G. Shapiro, Frederick Shic:
Sparsely Grouped Input Variables for Neural Networks. CoRR abs/1911.13068 (2019) - 2018
- [j66]Ezgi Mercan, Linda G. Shapiro, Tad T. Brunyé, Donald L. Weaver, Joann G. Elmore:
Characterizing Diagnostic Search Patterns in Digital Breast Pathology: Scanners and Drillers. J. Digit. Imaging 31(1): 32-41 (2018) - [j65]Baris Gecer, Selim Aksoy, Ezgi Mercan, Linda G. Shapiro, Donald L. Weaver, Joann G. Elmore:
Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks. Pattern Recognit. 84: 345-356 (2018) - [j64]Caner Mercan, Selim Aksoy, Ezgi Mercan, Linda G. Shapiro, Donald L. Weaver, Joann G. Elmore:
Multi-Instance Multi-Label Learning for Multi-Class Classification of Whole Slide Breast Histopathology Images. IEEE Trans. Medical Imaging 37(1): 316-325 (2018) - [j63]Shu Liang, Xiufeng Huang, Xianyu Meng, Kunyao Chen, Linda G. Shapiro, Ira Kemelmacher-Shlizerman:
Video to fully automatic 3D hair model. ACM Trans. Graph. 37(6): 206 (2018) - [c130]Sachin Mehta, Mohammad Rastegari, Anat Caspi, Linda G. Shapiro, Hannaneh Hajishirzi:
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation. ECCV (10) 2018: 561-580 - [c129]Ezgi Mercan, Sachin Mehta, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Automated Diagnosis of Breast Cancer and Pre-invasive Lesions on Digital Whole Slide Images. ICPRAM 2018: 60-68 - [c128]Yuguang Li, Ezgi Mercan, Stevan Knezevich, Joann G. Elmore, Linda G. Shapiro:
Efficient and Accurate Mitosis Detection - A Lightweight RCNN Approach. ICPRAM 2018: 69-77 - [c127]Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images. MICCAI (2) 2018: 893-901 - [c126]Deepali Aneja, Bindita Chaudhuri, Alex Colburn, Gary Faigin, Linda G. Shapiro, Barbara Mones:
Learning to Generate 3D Stylized Character Expressions from Humans. WACV 2018: 160-169 - [c125]Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Learning to Segment Breast Biopsy Whole Slide Images. WACV 2018: 663-672 - [i8]Sachin Mehta, Mohammad Rastegari, Anat Caspi, Linda G. Shapiro, Hannaneh Hajishirzi:
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation. CoRR abs/1803.06815 (2018) - [i7]Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images. CoRR abs/1806.01313 (2018) - [i6]Shu Liang, Linda G. Shapiro, Ira Kemelmacher-Shlizerman:
Head Reconstruction from Internet Photos. CoRR abs/1809.04763 (2018) - [i5]Shu Liang, Ira Kemelmacher-Shlizerman, Linda G. Shapiro:
3D Face Hallucination from a Single Depth Frame. CoRR abs/1809.04764 (2018) - [i4]Shu Liang, Xiufeng Huang, Xianyu Meng, Kunyao Chen, Linda G. Shapiro, Ira Kemelmacher-Shlizerman:
Video to Fully Automatic 3D Hair Model. CoRR abs/1809.04765 (2018) - [i3]Sachin Mehta, Mohammad Rastegari, Linda G. Shapiro, Hannaneh Hajishirzi:
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network. CoRR abs/1811.11431 (2018) - 2017
- [c124]Yao Lu, Linda G. Shapiro:
Closing the Loop for Edge Detection and Object Proposals. AAAI 2017: 4204-4210 - [i2]Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Learning to Segment Breast Biopsy Whole Slide Images. CoRR abs/1709.02554 (2017) - [i1]Sachin Mehta, Hannaneh Hajishirzi, Linda G. Shapiro:
Identifying Most Walkable Direction for Navigation in an Outdoor Environment. CoRR abs/1711.08040 (2017) - 2016
- [j62]Ezgi Mercan, Selim Aksoy, Linda G. Shapiro, Donald L. Weaver, Tad T. Brunyé, Joann G. Elmore:
Localization of Diagnostically Relevant Regions of Interest in Whole Slide Images: a Comparative Study. J. Digit. Imaging 29(4): 496-506 (2016) - [c123]Deepali Aneja, Alex Colburn, Gary Faigin, Linda G. Shapiro, Barbara Mones:
Modeling Stylized Character Expressions via Deep Learning. ACCV (2) 2016: 136-153 - [c122]Yao Lu, Xue Bai, Linda G. Shapiro, Jue Wang:
Coherent Parametric Contours for Interactive Video Object Segmentation. CVPR 2016: 642-650 - [c121]Shu Liang, Linda G. Shapiro, Ira Kemelmacher-Shlizerman:
Head Reconstruction from Internet Photos. ECCV (2) 2016: 360-374 - [c120]Caner Mercan, Ezgi Mercan, Selim Aksoy, Linda G. Shapiro, Donald L. Weaver, Joann G. Elmore:
Multi-instance multi-label learning for whole slide breast histopathology. Digital Pathology 2016: 979108 - 2015
- [c119]Deepali Aneja, Siddharth R. Vora, Esra D. Camci, Linda G. Shapiro, Timothy C. Cox:
Automated Detection of 3D Landmarks for the Elimination of Non-Biological Variation in Geometric Morphometric Analyses. CBMS 2015: 78-83 - [c118]Bilge Soran, Ali Farhadi, Linda G. Shapiro:
Generating Notifications for Missing Actions: Don't Forget to Turn the Lights Off! ICCV 2015: 4669-4677 - [p2]Ezgi Mercan, Indriyati Atmosukarto, Jia Wu, Shu Liang, Linda G. Shapiro:
Craniofacial Image Analysis. Health Monitoring and Personalized Feedback using Multimedia Data 2015: 9-29 - 2014
- [c117]Shu Liang, Ira Kemelmacher-Shlizerman, Linda G. Shapiro:
3D Face Hallucination from a Single Depth Frame. 3DV 2014: 31-38 - [c116]Bilge Soran, Ali Farhadi, Linda G. Shapiro:
Action Recognition in the Presence of One Egocentric and Multiple Static Cameras. ACCV (5) 2014: 178-193 - [c115]Irma Lam, Michael L. Cunningham, Matthew L. Speltz, Linda G. Shapiro:
Classifying Craniosynostosis with a 3D Projection-Based Feature Extraction System. CBMS 2014: 215-220 - [c114]Jia Wu, Raymond Tse, Linda G. Shapiro:
Automated face extraction and normalization of 3D Mesh Data. EMBC 2014: 750-753 - [c113]Irma Lam, Michael L. Cunningham, Craig Birgfeld, Matthew L. Speltz, Linda G. Shapiro:
Quantification of skull deformity for craniofacial research. EMBC 2014: 758-761 - [c112]S. M. Rolfe, L. L. Cox, Linda G. Shapiro, Timothy C. Cox:
A New Landmark-Independent Tool for Quantifying and Characterizing Morphologic Variation. ICIAR (1) 2014: 75-83 - [c111]Jia Wu, Raymond Tse, Linda G. Shapiro:
Learning to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh Data. ICPR 2014: 460-464 - [c110]Ezgi Mercan, Selim Aksoy, Linda G. Shapiro, Donald L. Weaver, Tad T. Brunyé, Joann G. Elmore:
Localization of Diagnostically Relevant Regions of Interest in Whole Slide Images. ICPR 2014: 1179-1184 - 2013
- [j61]Indriyati Atmosukarto, Linda G. Shapiro:
3D object retrieval using salient views. Int. J. Multim. Inf. Retr. 2(2): 103-115 (2013) - [c109]Shulin Yang, Jue Wang, Linda G. Shapiro:
Supervised Semantic Gradient Extraction Using Linear-Time Optimization. CVPR 2013: 2826-2833 - [c108]S. M. Rolfe, Esra D. Camci, Ezgi Mercan, Linda G. Shapiro, Timothy C. Cox:
A new tool for quantifying and characterizing asymmetry in bilaterally paired structures. EMBC 2013: 2364-2367 - [c107]Ezgi Mercan, Linda G. Shapiro, Seth M. Weinberg, Su-In Lee:
The use of pseudo-landmarks for craniofacial analysis: A comparative study with L1-regularized logistic regression. EMBC 2013: 6083-6086 - [c106]Shu Liang, Jia Wu, Seth M. Weinberg, Linda G. Shapiro:
Improved detection of landmarks on 3D human face data. EMBC 2013: 6482-6485 - [c105]José L. V. Mejino Jr., Ravensara S. Travillian, Timothy C. Cox, Linda G. Shapiro, James F. Brinkley:
Human Development Domain of the Ontology of Craniofacial Development and Malformation. ICBO 2013: 74-77 - [c104]Linda G. Shapiro:
Image analysis for biomedical and healthcare applications. MIIRH@ACM Multimedia 2013: 1-2 - 2012
- [j60]Katarzyna Wilamowska, Jia Wu, Carrie Heike, Linda G. Shapiro:
Shape-Based Classification of 3D Facial Data to Support 22q11.2DS Craniofacial Research. J. Digit. Imaging 25(3): 400-408 (2012) - [c103]Bilge Soran, Zhiyong Xie, Rosalia F. Tungaraza, Su-In Lee, Linda G. Shapiro, Thomas J. Grabowski:
Parcellation of human inferior parietal lobule based on diffusion MRI. EMBC 2012: 3219-3222 - [c102]Bilge Soran, Jenq-Neng Hwang, Su-In Lee, Linda G. Shapiro:
Tremor detection using motion filtering and SVM. ICPR 2012: 178-181 - [c101]Xiang Pan, Linda G. Shapiro:
3D shape isometric correspondence by spectral assignment. ICPR 2012: 2210-2213 - [c100]Rosalia F. Tungaraza, J. Jeffry Howbert, Sonya H. Mehta, David R. Haynor, Linda G. Shapiro, Thomas J. Grabowski:
Identifying the structural architecture of the human inferior parietal lobule using diffusion MRI. ISBI 2012: 506-509 - [c99]Shulin Yang, Linda G. Shapiro, Michael L. Cunningham, Matthew L. Speltz, Craig Birgfeld, Indriyati Atmosukarto, Su-In Lee:
Skull Retrieval for Craniosynostosis Using Sparse Logistic Regression Models. MCBR-CDS 2012: 33-44 - [c98]Shulin Yang, Liefeng Bo, Jue Wang, Linda G. Shapiro:
Unsupervised Template Learning for Fine-Grained Object Recognition. NIPS 2012: 3131-3139 - 2011
- [j59]Ravensara S. Travillian, Kremena Diatchka, Tejinder K. Judge, Katarzyna Wilamowska, Linda G. Shapiro:
An ontology-based comparative anatomy information system. Artif. Intell. Medicine 51(1): 1-15 (2011) - [c97]Shulin Yang, Linda G. Shapiro, Michael L. Cunningham, Matthew L. Speltz, Su-In Lee:
Classification and feature selection for craniosynostosis. BCB 2011: 340-344 - [c96]Jia Wu, Raymond Tse, Carrie Heike, Linda G. Shapiro:
Learning to compute the plane of symmetry for human faces. BCB 2011: 471-474 - [c95]Michael N. Gubanov, Linda G. Shapiro:
Using unified famous objects (UFO) to automate Alzheimer's disease diagnostics. BIBM Workshops 2011: 901-903 - [c94]S. M. Rolfe, Linda G. Shapiro, Timothy C. Cox, A. Murat Maga, L. L. Cox:
A landmark-free framework for the detection and description of shape differences in embryos. EMBC 2011: 5153-5156 - [c93]Michael N. Gubanov, Linda G. Shapiro, Anna Pyayt:
Learning Unified Famous Objects (UFO) to bootstrap information integration. IRI 2011: 177-180 - [c92]Michael N. Gubanov, Anna Pyayt, Linda G. Shapiro:
READFAST: Browsing large documents through unified famous objects (UFO). IRI 2011: 321-326 - [c91]Dingding Liu, Yingen Xiong, Kari Pulli, Linda G. Shapiro:
Estimating Image Segmentation Difficulty. MLDM 2011: 484-495 - [c90]Jiun-Hung Chen, Linda G. Shapiro:
Groupwise pose normalization for craniofacial applications. WACV 2011: 248-255 - [c89]Natalia Larios Delgado, Junyuan Lin, Mengzi Zhang, David A. Lytle, Andrew Moldenke, Linda G. Shapiro, Thomas G. Dietterich:
Stacked spatial-pyramid kernel: An object-class recognition method to combine scores from random trees. WACV 2011: 329-335 - 2010
- [j58]Indriyati Atmosukarto, Katarzyna Wilamowska, Carrie Heike, Linda G. Shapiro:
3D object classification using salient point patterns with application to craniofacial research. Pattern Recognit. 43(4): 1502-1517 (2010) - [c88]Jiun-Hung Chen, Ke Colin Zheng, Linda G. Shapiro:
3D Point Correspondence by Minimum Description Length in Feature Space. ECCV (3) 2010: 621-634 - [c87]Dingding Liu, Yingen Xiong, Linda G. Shapiro, Kari Pulli:
Robust interactive image segmentation with automatic boundary refinement. ICIP 2010: 225-228 - [c86]Indriyati Atmosukarto, Linda G. Shapiro, Carrie Heike:
The Use of Genetic Programming for Learning 3D Craniofacial Shape Quantifications. ICPR 2010: 2444-2447 - [c85]Natalia Larios, Bilge Soran, Linda G. Shapiro, Gonzalo Martínez-Muñoz, Junyuan Lin, Thomas G. Dietterich:
Haar Random Forest Features and SVM Spatial Matching Kernel for Stonefly Species Identification. ICPR 2010: 2624-2627 - [c84]Indriyati Atmosukarto, Linda G. Shapiro:
3d object retrieval using salient views. Multimedia Information Retrieval 2010: 73-82
2000 – 2009
- 2009
- [j57]Ashraf A. Saad, Thanasis Loupas, Linda G. Shapiro:
Computer Vision Approach for Ultrasound Doppler Angle Estimation. J. Digit. Imaging 22(6): 681-688 (2009) - [c83]Gonzalo Martínez-Muñoz, Natalia Larios Delgado, Eric N. Mortensen, Wei Zhang, Asako Yamamuro, Robert Paasch, Nadia Payet, David A. Lytle, Linda G. Shapiro, Sinisa Todorovic, Andrew Moldenke, Thomas G. Dietterich:
Dictionary-free categorization of very similar objects via stacked evidence trees. CVPR 2009: 549-556 - [c82]Linda G. Shapiro, Katarzyna Wilamowska, Indriyati Atmosukarto, Jia Wu, Carrie Heike, Matthew L. Speltz, Michael L. Cunningham:
Shape-Based Classification of 3D Head Data. ICIAP 2009: 692-700 - [c81]Marta Penas, Linda G. Shapiro:
A Color-Based Interest Operator. ICIAP 2009: 965-974 - [c80]Katarzyna Wilamowska, Linda G. Shapiro, Carrie Heike:
Classification of 3D Face Shape in 22Q11.2 Deletion Syndrome. ISBI 2009: 534-537 - [c79]Rosalia F. Tungaraza, J. Guan, S. M. Rolfe, Indriyati Atmosukarto, Andrew V. Poliakov, Natalia M. Kleinhans, Elizabeth H. Aylward, Jeffrey G. Ojemann, James F. Brinkley, Linda G. Shapiro:
A similarity retrieval method for functional magnetic resonance imaging (fMRI) statistical maps. Image Processing 2009: 72590E - [c78]S. M. Rolfe, L. Finney, Rosalia F. Tungaraza, J. Guan, Linda G. Shapiro, James F. Brinkley, Andrew V. Poliakov, Natalia M. Kleinhans, E. Alyward:
An independent component analysis based tool for exploring functional connections in the brain. Image Processing 2009: 725921 - [c77]Indriyati Atmosukarto, Linda G. Shapiro, Michael L. Cunningham, Matthew L. Speltz:
Automatic 3D shape severity quantification and localization for deformational plagiocephaly. Image Processing 2009: 725952 - 2008
- [j56]Natalia Larios, Hongli Deng, Wei Zhang, Matt Sarpola, Jenny Yuen, Robert Paasch, Andrew Moldenke, David A. Lytle, Salvador Ruiz-Correa, Eric N. Mortensen, Linda G. Shapiro, Thomas G. Dietterich:
Automated insect identification through concatenated histograms of local appearance features: feature vector generation and region detection for deformable objects. Mach. Vis. Appl. 19(2): 105-123 (2008) - [c76]Jiun-Hung Chen, Linda G. Shapiro:
Medical image segmentation via min s-t cuts with sides constraints. ICPR 2008: 1-4 - [c75]Chia-Chi Teng, Linda G. Shapiro, Richard A. Hopper, Jon Ver Halen:
Pediatric cranial defect surface analysis for craniosynostosis postoperation CT images. ISBI 2008: 620-623 - [c74]Indriyati Atmosukarto, Linda G. Shapiro:
A salient-point signature for 3d object retrieval. Multimedia Information Retrieval 2008: 208-215 - [c73]Indriyati Atmosukarto, Linda G. Shapiro:
A Learning Approach to 3D Object Representation for Classification. SSPR/SPR 2008: 267-276 - [p1]Linda G. Shapiro, Indriyati Atmosukarto, Hansang Cho, H. Jill Lin, Salvador Ruiz-Correa, Jenny Yuen:
Similarity-Based Retrieval for Biomedical Applications. Case-Based Reasoning on Images and Signals 2008: 355-387 - [e1]Isabelle Bichindaritz, Petra Perner, Linda G. Shapiro:
Advances in Data Mining. 8th Industrial Conference, ICDM 2008, Leipzig, Germany, July 2008, Poster and Workshop Proceedings. ibai Publishing 2008, ISBN 978-3-940501-03-5 [contents] - 2007
- [c72]Gary Yngve, James F. Brinkley, Daniel L. Cook, Linda G. Shapiro:
A Model Browser for Biosimulation. AMIA 2007 - [c71]Hongli Deng, Wei Zhang, Eric N. Mortensen, Thomas G. Dietterich, Linda G. Shapiro:
Principal Curvature-Based Region Detector for Object Recognition. CVPR 2007 - [c70]Chia-Chi Teng, Linda G. Shapiro, Ira J. Kalet, Carolyn M. Rutter, Rizwan Nurani:
Head and Neck Cancer Patient Similarity Based on Anatomical Structural Geometry. ISBI 2007: 1140-1143 - [c69]Indriyati Atmosukarto, Timothy D. Soper, Robb W. Glenny, Eric J. Seibel, Linda G. Shapiro:
An interactive 3D user interface for guided bronchoscopy. Image-Guided Procedures 2007: 65091G - [c68]Natalia Larios, Hongli Deng, Wei Zhang, Matt Sarpola, Jenny Yuen, Robert Paasch, Andrew Moldenke, David A. Lytle, Ruiz Correa, Eric N. Mortensen, Linda G. Shapiro, Thomas G. Dietterich:
Automated Insect Identification through Concatenated Histograms of Local Appearance Features. WACV 2007: 26 - 2006
- [j55]Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila, Gabriel Berson, Michael L. Cunningham, Raymond W. Sze:
Symbolic Signatures for Deformable Shapes. IEEE Trans. Pattern Anal. Mach. Intell. 28(1): 75-90 (2006) - [c67]Ravensara S. Travillian, Kremena Diatchka, Tejinder K. Judge, Katarzyna Wilamowska, Linda G. Shapiro:
A Graphical User Interface for a Comparative Anatomy Information System: Design, Implementation and Usage Scenarios. AMIA 2006 - [c66]Chia-Chi Teng, Linda G. Shapiro, Ira Kalet:
Automatic Segmentation of Neck CT Images. CBMS 2006: 442-445 - [c65]Hongli Deng, Eric N. Mortensen, Linda G. Shapiro, Thomas G. Dietterich:
Reinforcement Matching Using Region Context. CVPR Workshops 2006: 11 - [c64]H. Jill Lin, Salvador Ruiz-Correa, Linda G. Shapiro, Matthew L. Speltz, Michael L. Cunningham, Raymond W. Sze:
Predicting Neuropsychological Development from Skull Imaging. EMBC 2006: 3450-3455 - [c63]Ashraf A. Saad, Linda G. Shapiro:
Shape Decomposition Approach for Ultrasound Color Doppler Image Segmentation. ICPR (4) 2006: 691-694 - [c62]Chia-Chi Teng, Linda G. Shapiro, Ira Kalet:
Head and neck lymph node region delineation using a hybrid image registration method. ISBI 2006: 462-465 - 2005
- [j54]Linda G. Shapiro, Emily Chung, Landon Detwiler, José L. V. Mejino Jr., Augusto V. Agoncillo, James F. Brinkley, Cornelius Rosse:
Application of Information Technology: Processes and Problems in the Formative Evaluation of an Interface to the Foundational Model of Anatomy Knowledge Base. J. Am. Medical Informatics Assoc. 12(1): 35-46 (2005) - [c61]H. Jill Lin, Salvador Ruiz-Correa, Linda G. Shapiro, Michael L. Cunningham, Raymond W. Sze:
A Symbolic Shape-based Retrieval of Skull Images. AMIA 2005 - [c60]Ravensara S. Travillian, John H. Gennari, Linda G. Shapiro:
Of Mice and Men: Design of a Comparative Anatomy Information System. AMIA 2005 - [c59]Salvador Ruiz-Correa, Raymond W. Sze, H. Jill Lin, Linda G. Shapiro, Matthew L. Speltz, Michael L. Cunningham:
Classifying Craniosynostosis Deformations by Skull Shape Imaging. CBMS 2005: 335-340 - [c58]H. Jill Lin, Salvador Ruiz-Correa, Raymond W. Sze, Michael L. Cunningham, Matthew L. Speltz, Anne V. Hing, Linda G. Shapiro:
Efficient Symbolic Signatures for Classifying Craniosynostosis Skull Deformities. CVBIA 2005: 302-313 - [c57]Eric N. Mortensen, Hongli Deng, Linda G. Shapiro:
A SIFT Descriptor with Global Context. CVPR (1) 2005: 184-190 - [c56]Yi Li, Linda G. Shapiro, Jeff A. Bilmes:
A Generative/Discriminative Learning Algorithm for Image Classification. ICCV 2005: 1605-1612 - 2004
- [c55]Yi Li, Jeff A. Bilmes, Linda G. Shapiro:
Object Class Recognition using Images of Abstract Regions. ICPR (1) 2004: 40-43 - [c54]Landon T. Detwiler, Emily Chung, Ann Li, José L. V. Mejino Jr., Augusto V. Agoncillo, James F. Brinkley, Cornelius Rosse, Linda G. Shapiro:
A Relation-Centric Query Engine for the Foundational Model of Anatomy. MedInfo 2004: 341-345 - 2003
- [j53]Yu-Yu Chou, Linda G. Shapiro:
A hierarchical multiple classifier learning algorithm. Pattern Anal. Appl. 6(2): 150-168 (2003) - [j52]Ming Ye, Robert M. Haralick, Linda G. Shapiro:
Estimating Piecewise-Smooth Optical Flow with Global Matching and Graduated Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 25(12): 1625-1630 (2003) - [c53]Ravensara S. Travillian, Cornelius Rosse, Linda G. Shapiro:
An Approach to the Anatomical Correlation of Species through the Foundational Model of Anatomy. AMIA 2003 - [c52]Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila:
A New Paradigm for Recognizing 3-D Object Shapes from Range Data. ICCV 2003: 1126-1133 - [c51]Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila, Gabriel Berson:
Discriminating Deformable Shape Classes. NIPS 2003: 1491-1498 - 2002
- [j51]Kevin P. Hinshaw, Andrew V. Poliakov, Eider B. Moore, Richard F. Martin, Linda G. Shapiro, James F. Brinkley:
Shape-Based Cortical Surface Segmentation for Visualization Brain Mapping. NeuroImage 16(2): 295-316 (2002) - [c50]Ira J. Kalet, Mark Whipple, Silvia Pessah, Jerry Barker, Mary M. Austin-Seymour, Linda G. Shapiro:
A rule-based model for local and regional tumor spread. AMIA 2002 - [c49]Chia-Chi Teng, Mary M. Austin-Seymour, Jerry Barker, Ira J. Kalet, Linda G. Shapiro, Mark Whipple:
Head and neck lymph node region delineation with 3-D CT image registration. AMIA 2002 - [c48]Ming Ye, Linda G. Shapiro, Robert M. Haralick:
Estimating optical flow using a global matching formulation and graduated optimization. ICIP (2) 2002: 289-292 - [c47]Yi Li, Linda G. Shapiro:
Consistent Line Clusters for Building Recognition in CBIR. ICPR (3) 2002: 952-956 - 2001
- [c46]Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila:
A New Signature-Based Method for Efficient 3-D Object Recognition. CVPR (1) 2001: 769-776 - 2000
- [j50]Kari Pulli, Linda G. Shapiro:
Surface Reconstruction and Display from Range and Color Data. Graph. Model. 62(3): 165-201 (2000) - [j49]Mauro S. Costa, Linda G. Shapiro:
3D Object Recognition and Pose with Relational Indexing. Comput. Vis. Image Underst. 79(3): 364-407 (2000) - [c45]Pamela J. Neal, Linda G. Shapiro:
A Symbolic Representation for 3-D Object Feature Detection. ICPR 2000: 1221-1224 - [c44]Yu-Yu Chou, Linda G. Shapiro:
A Hierarchical Multiple Classifier Learning Algorithm. ICPR 2000: 2152-2155
1990 – 1999
- 1999
- [j48]Andrew Berman, Linda G. Shapiro:
A Flexible Image Database System for Content-Based Retrieval. Comput. Vis. Image Underst. 75(1-2): 175-195 (1999) - [j47]Qiang Ji, Mauro S. Costa, Robert M. Haralick, Linda G. Shapiro:
An Integrated Linear Technique for Pose Estimation from Different Geometric Features. Int. J. Pattern Recognit. Artif. Intell. 13(5): 705-733 (1999) - [j46]Adnan A. Y. Mustafa, Linda G. Shapiro, Mark A. Ganter:
3D object identification with color and curvature signatures. Pattern Recognit. 32(3): 339-355 (1999) - [c43]Andrew Berman, Linda G. Shapiro:
Triangle-inequality-based pruning algorithms with triangle tries. Storage and Retrieval for Image and Video Databases (SPIE) 1999: 356-365 - 1998
- [c42]Pamela J. Neal, Linda G. Shapiro, Cornelius Rosse:
The digital anatomist structural abstraction: a scheme for the spatial description of anatomical entities. AMIA 1998 - [c41]Cornelius Rosse, Linda G. Shapiro, James F. Brinkley:
The digital anatomist foundational model: principles for defining and structuring its concept domain. AMIA 1998 - [c40]Andrew Berman, Linda G. Shapiro:
Selecting Good Keys for Triangle-Inequality-Based Pruning Algorithms. CAIVD 1998: 12-19 - [c39]Kari Pulli, Habib Abi-Rached, Tom Duchamp, Linda G. Shapiro, Werner Stuetzle:
Acquisition and visualization of colored 3D objects. ICPR 1998: 11-15 - [c38]Andrew Berman, Linda G. Shapiro:
A flexible image database system for content-based retrieval. ICPR 1998: 894-898 - [c37]Yu-Yu Chou, Linda G. Shapiro:
Probabilistic relational indexing. ICPR 1998: 1331-1335 - 1997
- [j45]Bharath R. Modayur, Linda G. Shapiro:
PERFORM: A Fast Object Recognition Method Using Intersection of Projection Error Regions. IEEE Trans. Pattern Anal. Mach. Intell. 19(5): 499-506 (1997) - [j44]Robert Allen, Luigi Cinque, Steven L. Tanimoto, Linda G. Shapiro, Dean Yasuda:
A Parallel Algorithm for Graph Matching and Its MasPar Implementation. IEEE Trans. Parallel Distributed Syst. 8(5): 490-501 (1997) - [c36]Kari Pulli, Tom Duchamp, Hugues Hoppe, John McDonald, Linda G. Shapiro, Werner Stuetzle:
Robust Meshes from Multiple Range Maps. 3DIM 1997: 205-212 - [c35]Adnan A. Y. Mustafa, Linda G. Shapiro, Mark A. Ganter:
Object Identification with Surface Signatures. CAIP 1997: 58-65 - [c34]Kari Pulli, Michael F. Cohen, Tom Duchamp, Hugues Hoppe, John McDonald, Linda G. Shapiro, Werner Stuetzle:
Surface Modeling and Display from Range and Color Data. ICIAP (1) 1997: 385-397 - [c33]Kari Pulli, Michael F. Cohen, Tom Duchamp, Hugues Hoppe, Linda G. Shapiro, Werner Stuetzle:
View-base Rendering: Visualizing Real Objects from Scanned Range and Color Data. Rendering Techniques 1997: 23-34 - [c32]Andrew Berman, Linda G. Shapiro:
Efficient Image Retrieval With Multiple Distance Measures. Storage and Retrieval for Image and Video Databases (SPIE) 1997: 12-21 - 1996
- [j43]Luigi Cinque, Dean Yasuda, Linda G. Shapiro, Steven L. Tanimoto, Robert Allen:
An improved algorithm for relational distance graph matching. Pattern Recognit. 29(2): 349-359 (1996) - [j42]Rex M. Jakobovits, Lara M. Lewis, James P. Ahrens, Linda G. Shapiro, Steven L. Tanimoto, James F. Brinkley:
A Visual Database Environment for Scientific Research. J. Vis. Lang. Comput. 7(4): 361-375 (1996) - [c31]Kari Pulli, Linda G. Shapiro:
Triplet-based object recognition using synthetic and real probability models. ICPR 1996: 75-79 - [c30]Bharath R. Modayur, Linda G. Shapiro:
3D matching using statistically significant groupings. ICPR 1996: 238-242 - [c29]Adnan A. Y. Mustafa, Linda G. Shapiro, Mark A. Ganter:
3D object recognition from color intensity images. ICPR 1996: 627-631 - [c28]Mauro S. Costa, Linda G. Shapiro:
Relational Indexing. SSPR 1996: 130-139 - 1995
- [j41]Seungku Yi, Robert M. Haralick, Linda G. Shapiro:
Optimal Sensor and Light Source Positioning for Machine Vision. Comput. Vis. Image Underst. 61(1): 122-137 (1995) - [j40]Robert M. Haralick, Arun K. Somani, Craig M. Wittenbrink, Robert Johnson, Kenneth Cooper, Linda G. Shapiro, Ihsin T. Phillips, Jenq-Neng Hwang, William Cheung, Yung Hsi Yao, Chung-Ho Chen, Larry Yang, Brian Daugherty, Bob Lorbeski, Kent Loving, Tom Miller, Larye Parkins, Steve Soos:
Proteus: A reconfigurable computational network for computer vision. Mach. Vis. Appl. 8(2): 85-100 (1995) - [j39]Masaharu Kobashi, Linda G. Shapiro:
Knowledge-based organ identification from CT images. Pattern Recognit. 28(4): 475-491 (1995) - [c27]Mauro S. Costa, Linda G. Shapiro:
Analysis of Scenes Containing Multiple Non-Polyhedral 3D Objects. ICIAP 1995: 273-280 - [c26]Rex M. Jakobovits, Linda G. Shapiro, Steven L. Tanimoto:
Implementing Multilevel Queries in a Database Environment for Vision Research. Storage and Retrieval for Image and Video Databases (SPIE) 1995: 95-103 - [c25]Lara M. Lewis, Linda G. Shapiro, Steven L. Tanimoto:
Flexible Data Organization with Visualization Support for a Visual Database System. Storage and Retrieval for Image and Video Databases (SPIE) 1995: 406-417 - 1994
- [j38]Per H. Christensen, Linda G. Shapiro:
Three-dimensional shape from color photometric stereo. Int. J. Comput. Vis. 13(2): 213-227 (1994) - [j37]Seungku Yi, Robert M. Haralick, Linda G. Shapiro:
Error propagation in machine vision. Mach. Vis. Appl. 7(2): 93-114 (1994) - [c24]Jean Ponce, Ruzena Bajcsy, Dimitris N. Metaxas, Thomas O. Binford, David A. Forsyth, Martial Hebert, Katsushi Ikeuchi, Avinash C. Kak, Linda G. Shapiro, Stan Sclaroff, Alex Pentland, George C. Stockman:
Object representation for object recognition. CVPR 1994: 147-152 - [c23]Bharath R. Modayur, Linda G. Shapiro:
Fast parallel object recognition. ICPR (3) 1994: 284-289 - [c22]Linda G. Shapiro, Mauro S. Costa:
Appearance-Based 3D Object Recognition. Object Representation in Computer Vision 1994: 51-63 - 1993
- [j36]Octavia I. Camps, Linda G. Shapiro, Robert M. Haralick:
A Probabilistic Matching Algorithm for Computer Vision. Ann. Math. Artif. Intell. 10(1-2): 85-124 (1993) - [j35]Bharath R. Modayur, Visvanathan Ramesh, Robert M. Haralick, Linda G. Shapiro:
MUSER: A prototype musical score recognition system using mathematical morphology. Mach. Vis. Appl. 6(2-3): 140-150 (1993) - [j34]Jorja G. Henikoff, Linda G. Shapiro:
Representative patterns for model-based matching. Pattern Recognit. 26(7): 1087-1098 (1993) - [c21]Per H. Christensen, Linda G. Shapiro:
Determining the shape of multi-colored dichromatic surface using color photometric stereo. CVPR 1993: 767-768 - [c20]Linda G. Shapiro, Steven L. Tanimoto, Alberto Del Bimbo, Robert P. Futrelle, Ramesh C. Jain, Judith Bayard Cushing:
Panel: Visual Database Systems. VL 1993: 62-69 - 1992
- [b1]Linda G. Shapiro, Azriel Rosenfeld:
Computer vision and image processing. Academic Press 1992, ISBN 978-0-12-638660-8, pp. 1-82 - [c19]Bharath R. Modayur, Linda G. Shapiro, Robert M. Haralick:
Visual inspection of machined parts. CVPR 1992: 393-398 - [c18]Robert M. Haralick, Arun K. Somani, Craig M. Wittenbrink, Robert Johnson, Kenneth Cooper, Linda G. Shapiro, Ihsin T. Phillips, Jenq-Neng Hwang, William Cheung, Yung Hsi Yao, Chung-Ho Chen, Larry Yang, Brian Daugherty, Bob Lorbeski, Kent Loving, Tom Miller, Larye Parkins, Steve Soos:
Proteus: a reconfigurable computational network for computer vision. ICPR (4) 1992: 43-54 - [c17]Bharath R. Modayur, Linda G. Shapiro:
Automated inspection of machine parts. ICPR (1) 1992: 57-60 - [c16]Masaharu Kobashi, Linda G. Shapiro:
Knowledge-based matching for 3D radiotherapy planning. ICPR (1) 1992: 293-296 - [c15]Octavia I. Camps, Linda G. Shapiro, Robert M. Haralick:
Object Recognition Using Prediction And Probabilistic Match. IROS 1992: 1044-1052 - [c14]Bharath R. Modayur, Linda G. Shapiro:
A Cad-based System For Automated Inspection Of Machined Parts. IROS 1992: 1231-1238 - 1991
- [j33]Robert M. Haralick, Linda G. Shapiro:
Glossary of computer vision terms. Pattern Recognit. 24(1): 69-93 (1991) - [c13]Arun K. Somani, Craig M. Wittenbrink, Robert M. Haralick, Linda G. Shapiro, Jenq-Neng Hwang, Chung-Ho Chen, Robert Johnson, Kenneth Cooper:
Proteus System Architecture and Organization. IPPS 1991: 287-294 - 1990
- [j32]Linda G. Shapiro, Haiyuan Lu:
Accumulator-based inexact matching using relational summaries. Mach. Vis. Appl. 3(3): 143-158 (1990) - [c12]Hyonam Joo, Robert M. Haralick, Linda G. Shapiro:
Toward the automatic generation of mathematical morphology procedures using predicate logic. ICCV 1990: 156-165 - [c11]Jorja G. Henikoff, Linda G. Shapiro:
Interesting patterns for model-based machine vision. ICCV 1990: 535-538 - [c10]Seungku Yi, Robert M. Haralick, Linda G. Shapiro:
Automatic sensor and light source positioning for machine vision. ICPR (1) 1990: 55-59 - [c9]Mauro S. Costa, Robert M. Haralick, Linda G. Shapiro:
Optimal affine-invariant point matching. ICPR (1) 1990: 233-236
1980 – 1989
- 1989
- [j31]Andrew M. Goodman, Robert M. Haralick, Linda G. Shapiro:
Knowledge-Based Computer Vision. Computer 22(12): 43-54 (1989) - [j30]Ting-Chuen Pong, Robert M. Haralick, Linda G. Shapiro:
Shape from shading using the facet model. Pattern Recognit. 22(6): 683-695 (1989) - [j29]Ting-Chuen Pong, Robert M. Haralick, Linda G. Shapiro:
Matching topographic structures in stereo vision. Pattern Recognit. Lett. 9(2): 127-136 (1989) - 1988
- [j28]Linda G. Shapiro:
Digital halftoning : Robert Ulichney. Comput. Vis. Graph. Image Process. 41(3): 382 (1988) - [j27]Linda G. Shapiro:
Processor arrays: Architecture and applications : Terry Fountain. Comput. Vis. Graph. Image Process. 41(3): 382-383 (1988) - [c8]Linda G. Shapiro, Haiyuan Lu:
The use of relational pyramid representation for view classes in a CAD-to-vision system. ICPR 1988: 379-381 - 1987
- [j26]Linda G. Shapiro, Robert M. Haralick, Michael Goulish:
Insight: a Dataflow Language for Programming Vision Algorithms in a Reconfigurable Computational Network. Int. J. Pattern Recognit. Artif. Intell. 1(3-4): 335-350 (1987) - [j25]Linda G. Shapiro, Robert S. MacDonald, Stanley R. Sternberg:
Ordered structural shape matching with primitive extraction by mathematical morphology. Pattern Recognit. 20(1): 75-90 (1987) - [j24]James S. J. Lee, Robert M. Haralick, Linda G. Shapiro:
Morphologic edge detection. IEEE J. Robotics Autom. 3(2): 142-156 (1987) - 1986
- [j23]Linda G. Shapiro, Avi Kak:
Special issue on current issues and trends in computer vision. Comput. Vis. Graph. Image Process. 36(2-3): 137 (1986) - [j22]Prasanna G. Mulgaonkar, Linda G. Shapiro, Robert M. Haralick:
Shape from perspective: A rule-based approach. Comput. Vis. Graph. Image Process. 36(2-3): 298-320 (1986) - 1985
- [j21]Julian R. Ullmann, Robert M. Haralick, Linda G. Shapiro:
Computer Architecture for Solving Consistent Labelling Problems. Comput. J. 28(2): 105-111 (1985) - [j20]Robert M. Haralick, Linda G. Shapiro:
Image segmentation techniques. Comput. Vis. Graph. Image Process. 29(1): 100-132 (1985) - [j19]Linda G. Shapiro, Robert M. Haralick:
A Metric for Comparing Relational Descriptions. IEEE Trans. Pattern Anal. Mach. Intell. 7(1): 90-94 (1985) - [j18]Ting-Chuen Pong, Linda G. Shapiro, Robert M. Haralick:
Shape estimation from topographic primal sketch. Pattern Recognit. 18(5): 333-347 (1985) - [c7]Linda G. Shapiro:
The Role of AI in Computer Vision. CAIA 1985: 76-81 - 1984
- [j17]Ting-Chuen Pong, Linda G. Shapiro, Layne T. Watson, Robert M. Haralick:
Experiments in segmentation using a facet model region grower. Comput. Vis. Graph. Image Process. 25(1): 1-23 (1984) - [j16]Prasanna G. Mulgaonkar, Linda G. Shapiro, Robert M. Haralick:
Matching 'sticks, plates and blobs' objects using geometric and relational constraints. Image Vis. Comput. 2(2): 85-98 (1984) - [j15]Linda G. Shapiro, John D. Moriarty, Robert M. Haralick, Prasanna G. Mulgaonkar:
Matching three-dimensional objects using a relational paradigm. Pattern Recognit. 17(4): 385-405 (1984) - [j14]Robert M. Haralick, Yu Hong Chu, Layne T. Watson, Linda G. Shapiro:
Matching wire frame objects from their two dimensional perspective projections. Pattern Recognit. 17(6): 607-619 (1984) - [c6]Linda G. Shapiro:
Relational Matching - Problems, Techniques, and Applications. DAGM-Symposium 1984: 24-41 - [c5]Linda G. Shapiro, Robert M. Haralick:
A hierarchical relational model for automated inspection tasks. ICRA 1984: 70-77 - 1983
- [j13]Ronald Lumia, Linda G. Shapiro, Oscar A. Zuniga:
A new connected components algorithm for virtual memory computers. Comput. Vis. Graph. Image Process. 22(2): 287-300 (1983) - [j12]Ronald Lumia, Robert M. Haralick, Oscar A. Zuniga, Linda G. Shapiro, Ting-Chuen Pong, Far-Peing Wang:
Texture analysis of aerial photographs. Pattern Recognit. 16(1): 39-46 (1983) - 1982
- [j11]Layne T. Watson, Linda G. Shapiro:
Identification of Space Curves from Two-Dimensional Perspective Views. IEEE Trans. Pattern Anal. Mach. Intell. 4(5): 469-475 (1982) - [j10]Linda G. Shapiro, Robert M. Haralick:
Organization of Relational Models for Scene Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 4(6): 595-602 (1982) - [j9]Charles Feustel, Linda G. Shapiro:
The nearest neighbor problem in an abstract metric space. Pattern Recognit. Lett. 1(2): 125-128 (1982) - [j8]Prashant D. Vaidya, Linda G. Shapiro, Robert M. Haralick, Gary J. Minden:
Design and Architectural Implications of a Spatial Information System. IEEE Trans. Computers 31(10): 1025-1031 (1982) - 1981
- [j7]Linda G. Shapiro, Robert M. Haralick:
Structural Descriptions and Inexact Matching. IEEE Trans. Pattern Anal. Mach. Intell. 3(5): 504-519 (1981) - 1980
- [j6]Linda G. Shapiro:
A Structural Model of Shape. IEEE Trans. Pattern Anal. Mach. Intell. 2(2): 111-126 (1980) - [j5]Robert M. Haralick, Linda G. Shapiro:
The Consistent Labeling Problem: Part II. IEEE Trans. Pattern Anal. Mach. Intell. 2(3): 193-203 (1980) - [c4]Linda G. Shapiro, John D. Moriarty, Prasanna G. Mulgaonkar, Robert M. Haralick:
Sticks, Plates, and Blobs: A Three-Dimensional Object Representation for Scene Analysis. AAAI 1980: 28-30
1970 – 1979
- 1979
- [j4]Linda G. Shapiro, Robert M. Haralick:
Decomposition of Two-Dimensional Shapes by Graph-Theoretic Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 1(1): 10-20 (1979) - [j3]Robert M. Haralick, Linda G. Shapiro:
The Consistent Labeling Problem: Part I. IEEE Trans. Pattern Anal. Mach. Intell. 1(2): 173-184 (1979) - 1978
- [j2]Linda G. Shapiro:
Inexact matching of line drawings in a syntactic pattern recognition system. Pattern Recognit. 10(5-6): 313-321 (1978) - [c3]M. Catherine Neal, Linda G. Shapiro:
A Portable Graphics system for minicomputers. ACM Annual Conference (2) 1978: 704-712 - [c2]Linda G. Shapiro:
Data structures for picture processing. SIGGRAPH 1978: 140-146 - 1977
- [j1]Linda G. Shapiro, Robert J. Baron:
ESP³: A Language for Pattern Description and a System for Pattern Recognition. IEEE Trans. Software Eng. 3(2): 169-183 (1977) - 1975
- [c1]Linda G. Shapiro:
ESP3: a high-level graphics language. SIGGRAPH 1975: 70-77
Coauthor Index
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