| SLIC superpixels compared to state-of-the-art superpixel methods R Achanta, A Shaji, K Smith, A Lucchi, P Fua, S Süsstrunk IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (11), 2274 …, 2012 | 6394* | 2012 |
| Using particles to track varying numbers of interacting people K Smith, D Gatica-Perez, JM Odobez Computer Vision and Pattern Recognition (CVPR'05) 1, 962-969, 2005 | 267 | 2005 |
| Supervoxel-based segmentation of mitochondria in EM image stacks with learned shape features A Lucchi, K Smith, R Achanta, G Knott, P Fua IEEE Transactions on Medical Imaging 31 (2), 474-486, 2012 | 226 | 2012 |
| Evaluating multi-object tracking K Smith, D Gatica-Perez, JM Odobez, S Ba Computer Vision and Pattern Recognition (CVPR'05)-Workshops, 36-36, 2005 | 187 | 2005 |
| Tracking the visual focus of attention for a varying number of wandering people K Smith, SO Ba, JM Odobez, D Gatica-Perez IEEE transactions on pattern analysis and machine intelligence 30 (7), 1212-1229, 2008 | 146 | 2008 |
| Detecting abandoned luggage items in a public space K Smith, P Quelhas, D Gatica-Perez Computer Vision and Pattern Recognition (CVPR), 2006 | 120 | 2006 |
| A fully automated approach to segmentation of irregularly shaped cellular structures in EM images A Lucchi, K Smith, R Achanta, V Lepetit, P Fua International Conference on Medical Image Computing and Computer-Assisted …, 2010 | 111 | 2010 |
| Fast ray features for learning irregular shapes K Smith, A Carleton, V Lepetit Computer Vision and Pattern Recognition (CVPR), 397-404, 2009 | 71 | 2009 |
| Are spatial and global constraints really necessary for segmentation? A Lucchi, Y Li, X Boix, K Smith, P Fua International Conference on Computer Vision (ICCV), 9-16, 2011 | 66 | 2011 |
| CIDRE: an illumination-correction method for optical microscopy K Smith, Y Li, F Piccinini, G Csucs, C Balazs, A Bevilacqua, P Horvath Nature Methods 12 (5), 404-406, 2015 | 65 | 2015 |
| Slic superpixels A Radhakrishna, A Shaji, K Smith, A Lucchi, P Fua, S Susstrunk Dept. School Comput. Commun. Sci., EPFL, Lausanne, Switzerland, Tech. Rep 149300, 2010 | 65 | 2010 |
| General Constraints for Batch Multiple-Target Tracking Applied to Large-Scale Videomicroscopy K Smith, V Lepetit, A Carleton Computer Vision and Pattern Recognition (CVPR), 2008 | 65* | 2008 |
| Structured image segmentation using kernelized features A Lucchi, Y Li, K Smith, P Fua European Conference on Computer Vision (ECCV), 400-413, 2012 | 58 | 2012 |
| Digital image analysis in breast pathology – from image processing techniques to artificial intelligence S Robertson, H Azizpour, K Smith, J Hartman Translational Research 194, 19-35, 2018 | 54 | 2018 |
| Bayesian Uncertainty Estimation for Batch Normalized Deep Networks M Teye, H Azizpour, K Smith International Conference on Machine Learning (ICML), 2018 | 50 | 2018 |
| Bayesian methods for visual multi-object tracking with applications to human activity recognition K Smith École Polytechnique Fédérale de Lausanne, 2007 | 36 | 2007 |
| Order matters: A distributed sampling method for multiple-object tracking K Smith, D Gatica-perez Proc. British Machine Vision Conference (BMVC), 2004 | 35* | 2004 |
| Deep learning is combined with massive-scale citizen science to improve large-scale image classification DP Sullivan, CF Winsnes, L Åkesson, M Hjelmare, M Wiking, R Schutten, ... Nature biotechnology 36 (9), 820, 2018 | 33 | 2018 |
| Intelligent image-based in situ single-cell isolation C Brasko, K Smith, C Molnar, N Farago, L Hegedus, A Balind, T Balassa, ... Nature communications 9 (1), 226, 2018 | 28 | 2018 |
| Tracking the multi person wandering visual focus of attention K Smith, SO Ba, D Gatica-Perez, JM Odobez International Conference on Multimodal Interfaces (ICMI), 265-272, 2006 | 26 | 2006 |
Pascal FuaProfessor Computer Science, EPFLVerified email at epfl.ch
