MORDAN Taylor
Post-Doctorant
Équipe :
MLIA
Localisation :
Campus Pierre et Marie CurieSorbonne Université - LIP6
Boîte courrier 169
Couloir 26-00, Étage 5, Bureau 525
4 place Jussieu
75252 PARIS CEDEX 05
Tel: 01 44 27 51 29, Taylor.Mordan (at)
nulllip6.fr
Publications 2017-2018
- 2018
- T. Mordan, N. Thome, G. Henaff, M. Cord : “End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection”, International Journal of Computer Vision, (Springer Verlag) (2018)
- T. Mordan, N. Thome, G. Henaff, M. Cord : “Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection”, 32nd Conference on Neural Information Processing Systems (NeurIPS), Montréal, Canada (2018)
- T. Mordan : “Apprentissage d’architectures profondes pour la détection et la reconnaissance de cibles en imagerie optronique”, thèse, soutenance 20/11/2018, direction de recherche Cord, Matthieu, co-encadrement THOME Nicolas (2018)
- 2017
- T. Mordan, N. Thome, M. Cord, G. Henaff : “Deformable Part-based Fully Convolutional Network for Object Detection”, British Machine Vision Conference (BMVC), London, United Kingdom (2017)
- Th. Durand, T. Mordan, N. Thome, M. Cord : “WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA (2017)