Xgan: Unsupervised image-to-image translation for many-to-many mappings A Royer, K Bousmalis, S Gouws, F Bertsch, I Mosseri, F Cole, K Murphy Domain Adaptation for Visual Understanding, 33-49, 2020 | 68 | 2020 |
Classifier adaptation at prediction time A Royer, CH Lampert Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 39 | 2015 |
Probabilistic image colorization A Royer, A Kolesnikov, CH Lampert arXiv preprint arXiv:1705.04258, 2017 | 18 | 2017 |
Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios A Royer, C Lampert The IEEE Winter Conference on Applications of Computer Vision, 1727-1736, 2020 | 1 | 2020 |
Aide ŕ la conception et vérification de spécifications formelles de protocoles cryptographiques A Trieu, ARA Chatalic, B Tessiau, LSS Kachanovich Univ. Rennes, Rennes, France, Tech. Rep 1, 2014 | 1 | 2014 |
Semantically-consistent image style transfer S Gouws, F Bertsch, K Bousmalis, A Royer, KP Murphy US Patent App. 16/759,689, 2020 | | 2020 |
Multiple-Environment Markov Decision Processes: Efficient Analysis and Applications K Chatterjee, M Chmelík, D Karkhanis, P Novotný, A Royer Proceedings of the International Conference on Automated Planning and …, 2020 | | 2020 |
Leveraging structure in Computer Vision tasks for flexible Deep Learning models A Royer | | 2020 |
A Flexible Selection Scheme for Minimum-Effort Transfer Learning A Royer, C Lampert The IEEE Winter Conference on Applications of Computer Vision, 2191-2200, 2020 | | 2020 |
Audio word similarity for clustering with zero resources based on iterative HMM classification A Royer, G Gravier, V Claveau 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | | 2016 |
Using traffic data in the UK to model aspects of the road network S Avvakumov, M Iglesias, A Royer, J Steiner | | 2016 |
Similarity by diverting supervised machine learning—Application to knowledge discovery in multimedia content A Royer, V Claveau, G Gravier, T Furon | | 2015 |
Knowledge Discovery in Multimedia Content by Diversion of Supervised Machine Learning Techniques A Royer, V Claveau, G Gravier | | |