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José Oramas M.
José Oramas M.
University of Antwerp, imec-IDLab
Geverifieerd e-mailadres voor uantwerpen.be - Homepage
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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
6862015
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
3572016
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
822017
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
522020
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
472021
Modeling visual compatibility through hierarchical mid-level elements
J Oramas, T Tuytelaars
arXiv preprint arXiv:1604.00036 1, 2016
182016
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
152018
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
152015
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
152013
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
132012
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
112014
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
92020
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
92020
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
82016
MinMaxCam: Improving object coverage for cam-basedweakly supervised object localization
K Wang, J Oramas, T Tuytelaars
arXiv preprint arXiv:2104.14375, 2021
72021
A Systematic Analysis of a Context Aware Deep Learning Architecture for Object Detection.
K Bardool, T Tuytelaars, J Oramas
Bnaic/Benelearn 2491, 2019
62019
On The Coherency of Quantitative Evaluation of Visual Explanation
B Vandersmissen, J Oramas
Computer Vision and Image Understanding, arXiv:2302.10764, 2023
52023
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
52018
Machine learning and principles and practice of knowledge discovery in databases
M Kamp, I Koprinska, B Adrien, T Bouadi, B Frénay, L Galárraga, ...
42021
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
42020
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Artikelen 1–20