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 | 679 | 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 | 354 | 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 | 78 | 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 | 48 | 2020 |
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 | 44 | 2021 |
Modeling visual compatibility through hierarchical mid-level elements J Oramas, T Tuytelaars arXiv preprint arXiv:1604.00036 1, 2016 | 18 | 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 | 15 | 2015 |
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 | 15 | 2013 |
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 |
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 | 12 | 2018 |
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 |
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 | 9 | 2020 |
In defense of LSTMs for addressing multiple instance learning problems K Wang, J Oramas, T Tuytelaars Proceedings of the Asian Conference on Computer Vision, 2020 | 9 | 2020 |
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 |
MinMaxCam: Improving object coverage for cam-basedweakly supervised object localization K Wang, J Oramas, T Tuytelaars arXiv preprint arXiv:2104.14375, 2021 | 6 | 2021 |
A Systematic Analysis of a Context Aware Deep Learning Architecture for Object Detection. K Bardool, T Tuytelaars, J Oramas Bnaic/Benelearn 2491, 2019 | 6 | 2019 |
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 | 5 | 2018 |
On The Coherency of Quantitative Evaluation of Visual Explanation B Vandersmissen, J Oramas Computer Vision and Image Understanding, arXiv:2302.10764, 2023 | 4 | 2023 |
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 | 4 | 2020 |
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 | 4 | 2020 |