| Measuring the objectness of image windows B Alexe, T Deselaers, V Ferrari IEEE transactions on pattern analysis and machine intelligence 34 (11), 2189 …, 2012 | 2512 | 2012 |
| 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 | 389 | 2017 |
| Weakly supervised localization and learning with generic knowledge T Deselaers, B Alexe, V Ferrari International journal of computer vision 100 (3), 275-293, 2012 | 350 | 2012 |
| Localizing objects while learning their appearance T Deselaers, B Alexe, V Ferrari Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 250 | 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 | 160 | 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 | 147 | 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 | 131 | 2019 |
| Classcut for unsupervised class segmentation B Alexe, T Deselaers, V Ferrari Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 100 | 2010 |
| Searching for objects driven by context B Alexe, N Heess, Y Teh, V Ferrari Advances in Neural Information Processing Systems 25, 2012 | 96 | 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 | 25 | 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 | 24 | 2021 |
| What is an object? Computer Vision and Pattern Recognition (CVPR) B Alexe, T Deselaers, V Ferrari 2010 IEEE Conference on, 73-80, 2010 | 18 | 2010 |
| 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 | 3 | 2023 |
| 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 | 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 |
| Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image Datasets A Iordache, B Alexe, RT Ionescu arXiv preprint arXiv:2410.22184, 2024 | | 2024 |
| From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures AV Pătraşcu, CM Ceauşescu, B Alexe Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2024 | | 2024 |
| 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 |
