| Safety in numbers: Learning categories from few examples with multi model knowledge transfer T Tommasi, F Orabona, B Caputo 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 165 | 2010 |
| Discriminative cue integration for medical image annotation T Tommasi, F Orabona, B Caputo Pattern Recognition Letters 29 (15), 1996-2002, 2008 | 99 | 2008 |
| Learning categories from few examples with multi model knowledge transfer T Tommasi, F Orabona, B Caputo IEEE transactions on pattern analysis and machine intelligence 36 (5), 928-941, 2013 | 94 | 2013 |
| Multiclass transfer learning from unconstrained priors L Jie, T Tommasi, B Caputo 2011 International Conference on Computer Vision, 1863-1870, 2011 | 90 | 2011 |
| A deeper look at dataset bias T Tommasi, N Patricia, B Caputo, T Tuytelaars Domain adaptation in computer vision applications, 37-55, 2017 | 81 | 2017 |
| Frustratingly easy nbnn domain adaptation T Tommasi, B Caputo Proceedings of the IEEE International Conference on Computer Vision, 897-904, 2013 | 77 | 2013 |
| A testbed for cross-dataset analysis T Tommasi, T Tuytelaars European Conference on Computer Vision, 18-31, 2014 | 66 | 2014 |
| Overview of the CLEF 2009 medical image annotation track T Tommasi, B Caputo, P Welter, MO Güld, TM Deserno Workshop of the Cross-Language Evaluation Forum for European Languages, 85-93, 2009 | 66 | 2009 |
| Improving control of dexterous hand prostheses using adaptive learning T Tommasi, F Orabona, C Castellini, B Caputo IEEE Transactions on Robotics 29 (1), 207-219, 2012 | 61 | 2012 |
| Using object affordances to improve object recognition C Castellini, T Tommasi, N Noceti, F Odone, B Caputo IEEE Transactions on Autonomous Mental Development 3 (3), 207-215, 2011 | 60 | 2011 |
| From source to target and back: symmetric bi-directional adaptive gan P Russo, FM Carlucci, T Tommasi, B Caputo Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 59 | 2018 |
| The more you know, the less you learn: from knowledge transfer to one-shot learning of object categories T Tommasi, B Caputo BMVC, 2009 | 57 | 2009 |
| Active transfer learning with zero-shot priors: Reusing past datasets for future tasks E Gavves, T Mensink, T Tommasi, CGM Snoek, T Tuytelaars Proceedings of the IEEE International Conference on Computer Vision, 2731-2739, 2015 | 45 | 2015 |
| Joint cross-domain classification and subspace learning for unsupervised adaptation B Fernando, T Tommasi, T Tuytelaars Pattern Recognition Letters 65, 60-66, 2015 | 36 | 2015 |
| Beyond dataset bias: Multi-task unaligned shared knowledge transfer T Tommasi, N Quadrianto, B Caputo, CH Lampert Asian Conference on Computer Vision, 1-15, 2012 | 36 | 2012 |
| CLEF2007 Image annotation task: An SVM-based cue integration approach T Tommasi, F Orabona, B Caputo Proceedings of ImageCLEF 2007-LNCS, 2007 | 36 | 2007 |
| Principles of animal behavior NRF Maier McGraw-Hill, 1935 | 33 | 1935 |
| Learning methods for melanoma recognition EL Torre, B Caputo, T Tommasi International Journal of Imaging Systems and Technology 20 (4), 316-322, 2010 | 20 | 2010 |
| Melanoma recognition using representative and discriminative kernel classifiers T Tommasi, E La Torre, B Caputo International Workshop on Computer Vision Approaches to Medical Image …, 2006 | 20 | 2006 |
| Training deep networks without learning rates through coin betting F Orabona, T Tommasi Advances in Neural Information Processing Systems, 2160-2170, 2017 | 19 | 2017 |
Francesco OrabonaAssistant Professor, Boston UniversityVerified email at orabona.com