| Modeling video evolution for action recognition B Fernando, E Gavves, J Oramas M., A Ghodrati, T Tuytelaars Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 539 | 2015 |
| Rank pooling for action recognition B Fernando, E Gavves, J Oramas, A Ghodrati, T Tuytelaars IEEE transactions on pattern analysis and machine intelligence 39 (4), 773-787, 2016 | 289 | 2016 |
| Visual explanation by interpretation: Improving visual feedback capabilities of deep neural networks J Oramas, K Wang, T Tuytelaars International Conference on Learning Representations (ICLR) 2019, arXiv …, 2017 | 46 | 2017 |
| Detecting intentional self-harm on Instagram: development, testing, and validation of an automatic image-recognition algorithm to discover cutting-related posts S Scherr, F Arendt, T Frissen, J Oramas M Social science computer review 38 (6), 673-685, 2020 | 29 | 2020 |
| Modeling visual compatibility through hierarchical mid-level elements J Oramas, T Tuytelaars arXiv preprint arXiv:1604.00036, 2016 | 17 | 2016 |
| Towards sign language recognition based on body parts relations M Martínez-Camarena, J Oramas, T Tuytelaars Image Processing (ICIP), 2015 IEEE International Conference on, 2454-2458, 2015 | 14 | 2015 |
| A relational distance-based framework for hierarchical image understanding L Antanas, M van Otterlo, J Oramas M., T Tuytelaars, L De Raedt ICPRAM 2012-Proceedings of the 1st International Conference on Pattern …, 2012 | 13 | 2012 |
| Rule-based hand posture recognition using qualitative finger configurations acquired with the kinect L Billiet, J Oramas, ME Hoffmann, W Meert, L Antanas Proceedings of the 2nd International Conference on Pattern Recognition …, 2013 | 12 | 2013 |
| There are plenty of places like home: Using relational representations in hierarchies for distance-based image understanding L Antanas, M Van Otterlo, J Oramas M., T Tuytelaars, L De Raedt Neurocomputing 123, 75-85, 2014 | 11 | 2014 |
| Computer vision and human behaviour, emotion and cognition detection: a use case on student engagement P Vanneste, J Oramas, T Verelst, T Tuytelaars, A Raes, F Depaepe, ... Mathematics 9 (3), 287, 2021 | 9 | 2021 |
| From Pixels to Actions: Learning to Drive a Car with Deep Neural Networks J Heylen, S Iven, B De Brabandere, J Oramas, L Van Gool, T Tuytelaars IEEE Winter Conference on Applications in Computer Vision, 2018 | 9 | 2018 |
| Recovering hard-to-find object instances by sampling context-based object proposals J Oramas, T Tuytelaars Computer Vision and Image Understanding 152, 118-130, 2016 | 8 | 2016 |
| An Analysis of Human-centered Geolocation K Wang, YH Huang, L Van Gool, J Oramas, T Tuytelaars IEEE Winter Conference on Applications in Computer Vision, 2018 | 6 | 2018 |
| Unsupervised shape transformer for image translation and cross-domain retrieval K Wang, L Ma, J Oramas, L Van Gool, T Tuytelaars | 5* | 2019 |
| Multiple exemplars-based hallucination for face super-resolution and editing K Wang, J Oramas, T Tuytelaars Proceedings of the Asian Conference on Computer Vision, 2020 | 4 | 2020 |
| Allocentric Pose Estimation J Oramas, L De Raedt, T Tuytelaars | 4* | 2013 |
| Unpaired image-to-image shape translation across fashion data K Wang, L Ma, J Oramas, L Van Gool, T Tuytelaars 2020 IEEE International Conference on Image Processing (ICIP), 206-210, 2020 | 3 | 2020 |
| Towards Cautious Collective Inference for Object Verification J Oramas, L De Raedt, T Tuytelaars Winter Conference on Applications of Computer Vision, 2014 | 3 | 2014 |
| MinMaxCAM: Improving object coverage for CAM-basedWeakly Supervised Object Localization K Wang, J Oramas, T Tuytelaars arXiv preprint arXiv:2104.14375, 2021 | 2 | 2021 |
| Can the state of relevant neurons in a deep neural networks serve as indicators for detecting adversarial attacks? R Granda, T Tuytelaars, J Oramas arXiv preprint arXiv:2010.15974, 2020 | 2 | 2020 |
Tinne TuytelaarsKU Leuven - PSI, BelgiumVerified email at esat.kuleuven.be
