| Measuring the objectness of image windows B Alexe, T Deselaers, V Ferrari IEEE transactions on pattern analysis and machine intelligence 34 (11), 2189 …, 2012 | 1599 | 2012 |
| What is an object? B Alexe, T Deselaers, V Ferrari 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 1121 | 2010 |
| Unmasking the abnormal events in video R Tudor Ionescu, S Smeureanu, B Alexe, M Popescu Proceedings of the IEEE international conference on computer vision, 2895-2903, 2017 | 367 | 2017 |
| Weakly supervised localization and learning with generic knowledge T Deselaers, B Alexe, V Ferrari International journal of computer vision 100, 275-293, 2012 | 344 | 2012 |
| Localizing objects while learning their appearance T Deselaers, B Alexe, V Ferrari Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 248 | 2010 |
| How hard can it be? Estimating the difficulty of visual search in an image R Tudor Ionescu, B Alexe, M Leordeanu, M Popescu, DP Papadopoulos, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 149 | 2016 |
| Deep appearance features for abnormal behavior detection in video S Smeureanu, RT Ionescu, M Popescu, B Alexe Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017 | 140 | 2017 |
| Detecting abnormal events in video using narrowed normality clusters RT Ionescu, S Smeureanu, M Popescu, B Alexe 2019 IEEE winter conference on applications of computer vision (WACV), 1951-1960, 2019 | 124 | 2019 |
| Classcut for unsupervised class segmentation B Alexe, T Deselaers, V Ferrari Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 98 | 2010 |
| Searching for objects driven by context B Alexe, N Heess, Y Teh, V Ferrari Advances in Neural Information Processing Systems 25, 2012 | 94 | 2012 |
| Exploiting spatial overlap to efficiently compute appearance distances between image windows B Alexe, V Petrescu, V Ferrari Advances in Neural Information Processing Systems 24, 2011 | 26 | 2011 |
| A realistic approach to generate masked faces applied on two novel masked face recognition data sets T Mare, G Duta, MI Georgescu, A Sandru, B Alexe, M Popescu, ... arXiv preprint arXiv:2109.01745, 2021 | 19 | 2021 |
| Multi-Attribute Decision Making E-Course C Resteanu, M Somodi, B Alexe 2006 International Multi-Conference on Computing in the Global Information …, 2006 | 3 | 2006 |
| Learning diverse features in vision transformers for improved generalization AM Nicolicioiu, AL Nicolicioiu, B Alexe, D Teney arXiv preprint arXiv:2308.16274, 2023 | 2 | 2023 |
| JEDI: Joint Expert Distillation in a Semi-Supervised Multi-Dataset Student-Teacher Scenario for Video Action Recognition L Bicsi, B Alexe, RT Ionescu, M Leordeanu Proceedings of the IEEE/CVF International Conference on Computer Vision, 953-962, 2023 | 1 | 2023 |
| Detecting abnormal events in video using Narrowed Normality Clusters R Tudor Ionescu, S Smeureanu, M Popescu, B Alexe arXiv e-prints, arXiv: 1801.05030, 2018 | 1 | 2018 |
| Which energy minimization for my mrf/crf? a cheat-sheet B Alexe, T Deselaers, M Eicher, V Ferrari, P Gehler, A Lehmann, ... Tech. Rep. 273, Computer Vision Laboratory, ETH Zurich, 2010 | 1 | 2010 |
| Learning Diverse Features in Vision Transformers for Improved Generalization A Mihai Nicolicioiu, A Liviu Nicolicioiu, B Alexe, D Teney arXiv e-prints, arXiv: 2308.16274, 2023 | | 2023 |
| Cerebral Metastases Segmentation using Transfer Gliomas Learning and GrabCut CM Ceauşescu, B Alexe 2022 24th International Symposium on Symbolic and Numeric Algorithms for …, 2022 | | 2022 |
| Objectness and its use for visual learning B Alexe ETH Zurich, 2013 | | 2013 |
