| Domain generalization by solving jigsaw puzzles FM Carlucci, A D'Innocente, S Bucci, B Caputo, T Tommasi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1192 | 2019 |
| A deeper look at dataset bias T Tommasi, N Patricia, B Caputo, T Tuytelaars Domain adaptation in computer vision applications, 37-55, 2017 | 493 | 2017 |
| 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 | 302 | 2018 |
| 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 | 298 | 2010 |
| Meshgpt: Generating triangle meshes with decoder-only transformers Y Siddiqui, A Alliegro, A Artemov, T Tommasi, D Sirigatti, V Rosov, A Dai, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024 | 243 | 2024 |
| On the effectiveness of image rotation for open set domain adaptation S Bucci, MR Loghmani, T Tommasi European conference on computer vision, 422-438, 2020 | 236 | 2020 |
| 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 | 193 | 2013 |
| Training deep networks without learning rates through coin betting F Orabona, T Tommasi Advances in neural information processing systems 30, 2017 | 138 | 2017 |
| Self-supervised learning across domains S Bucci, A D’Innocente, Y Liao, FM Carlucci, B Caputo, T Tommasi IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5516-5528, 2021 | 122 | 2021 |
| 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 | 122 | 2012 |
| Discriminative cue integration for medical image annotation T Tommasi, F Orabona, B Caputo Pattern Recognition Letters 29 (15), 1996-2002, 2008 | 121 | 2008 |
| Multiclass transfer learning from unconstrained priors L Jie, T Tommasi, B Caputo 2011 International Conference on Computer Vision, 1863-1870, 2011 | 118 | 2011 |
| A testbed for cross-dataset analysis T Tommasi, T Tuytelaars European Conference on Computer Vision, 18-31, 2014 | 115 | 2014 |
| Frustratingly easy nbnn domain adaptation T Tommasi, B Caputo Proceedings of the IEEE International Conference on Computer Vision, 897-904, 2013 | 110 | 2013 |
| The More You Know, the Less You Learn: From Knowledge Transfer to One-shot Learning of Object Categories. T Tommasi, B Caputo BMVC, 2009 | 110 | 2009 |
| 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 | 95 | 2011 |
| An outlook into the future of egocentric vision C Plizzari, G Goletto, A Furnari, S Bansal, F Ragusa, GM Farinella, ... International Journal of Computer Vision 132 (11), 4880-4936, 2024 | 90 | 2024 |
| 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 | 90 | 2015 |
| 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 | 80 | 2009 |
| Joint cross-domain classification and subspace learning for unsupervised adaptation B Fernando, T Tommasi, T Tuytelaars Pattern Recognition Letters 65, 60-66, 2015 | 66 | 2015 |
Francesco OrabonaAssociate Professor, KAUSTVerified email at orabona.com
