| Computer and robot vision RM Haralock, LG Shapiro Addison-Wesley Longman Publishing Co., Inc., 1991 | 7433 | 1991 |
| Image segmentation techniques RM Haralick, LG Shapiro Computer vision, graphics, and image processing 29 (1), 100-132, 1985 | 4096 | 1985 |
| Espnet: Efficient spatial pyramid of dilated convolutions for semantic segmentation S Mehta, M Rastegari, A Caspi, L Shapiro, H Hajishirzi Proceedings of the european conference on computer vision (ECCV), 552-568, 2018 | 1036 | 2018 |
| Structural descriptions and inexact matching LG Shapiro, RM Haralick IEEE Transactions on pattern analysis and machine intelligence, 504-519, 1981 | 890 | 1981 |
| Espnetv2: A light-weight, power efficient, and general purpose convolutional neural network S Mehta, M Rastegari, L Shapiro, H Hajishirzi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 561 | 2019 |
| Connected components labeling RM Haralick, LG Shapiro Computer and robot vision 1, 28-48, 1992 | 543 | 1992 |
| Morphologic edge detection J Lee, R Haralick, L Shapiro IEEE Journal on Robotics and Automation 3 (2), 142-156, 1987 | 525 | 1987 |
| Computer vision G Stockman, LG Shapiro Prentice Hall PTR, 2001 | 516 | 2001 |
| The consistent labeling problem: Part I RM Haralick, LG Shapiro IEEE Transactions on Pattern Analysis and Machine Intelligence, 173-184, 1979 | 433 | 1979 |
| A SIFT descriptor with global context EN Mortensen, H Deng, L Shapiro 2005 IEEE computer society conference on computer vision and pattern …, 2005 | 426 | 2005 |
| A new connected components algorithm for virtual memory computers R Lumia, L Shapiro, O Zuniga Computer Vision, Graphics, and Image Processing 22 (2), 287-300, 1983 | 315 | 1983 |
| View-based rendering: Visualizing real objects from scanned range and color data K Pulli, H Hoppe, M Cohen, L Shapiro, T Duchamp, W Stuetzle Rendering Techniques’ 97: Proceedings of the Eurographics Workshop in St …, 1997 | 289 | 1997 |
| A metric for comparing relational descriptions LG Shapiro, RM Haralick IEEE transactions on pattern analysis and machine intelligence, 90-94, 1985 | 268 | 1985 |
| Y-Net: joint segmentation and classification for diagnosis of breast biopsy images S Mehta, E Mercan, J Bartlett, D Weaver, JG Elmore, L Shapiro Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 247 | 2018 |
| Glossary of computer vision terms. RM Haralick, LG Shapiro Pattern Recognit. 24 (1), 69-93, 1991 | 229 | 1991 |
| Unsupervised template learning for fine-grained object recognition S Yang, L Bo, J Wang, L Shapiro Advances in neural information processing systems 25, 2012 | 219 | 2012 |
| Automated insect identification through concatenated histograms of local appearance features: feature vector generation and region detection for deformable objects N Larios, H Deng, W Zhang, M Sarpola, J Yuen, R Paasch, A Moldenke, ... Machine Vision and Applications 19, 105-123, 2008 | 208 | 2008 |
| Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks B Gecer, S Aksoy, E Mercan, LG Shapiro, DL Weaver, JG Elmore Pattern recognition 84, 345-356, 2018 | 194 | 2018 |
| Decomposition of two-dimensional shapes by graph-theoretic clustering LG Shapiro, RM Haralick IEEE transactions on pattern analysis and machine intelligence, 10-20, 1979 | 190 | 1979 |
| Modeling stylized character expressions via deep learning D Aneja, A Colburn, G Faigin, L Shapiro, B Mones Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017 | 182 | 2017 |
