| Improving semantic embedding consistency by metric learning for zero-shot classiffication M Bucher, S Herbin, F Jurie European Conference on Computer Vision, 730-746, 2016 | 145 | 2016 |
| Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation TH Vu, H Jain, M Bucher, M Cord, P Pérez Proceedings of the IEEE conference on computer vision and pattern …, 2019 | 80 | 2019 |
| Generating visual representations for zero-shot classification M Bucher, S Herbin, F Jurie Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 74 | 2017 |
| Hard negative mining for metric learning based zero-shot classification M Bucher, S Herbin, F Jurie European Conference on Computer Vision, 524-531, 2016 | 26 | 2016 |
| Dada: Depth-aware domain adaptation in semantic segmentation TH Vu, H Jain, M Bucher, M Cord, P Pérez Proceedings of the IEEE International Conference on Computer Vision, 7364-7373, 2019 | 18 | 2019 |
| Zero-shot semantic segmentation M Bucher, VU Tuan-Hung, M Cord, P Pérez Advances in Neural Information Processing Systems, 468-479, 2019 | 8 | 2019 |
| Zero-shot classification by generating artificial visual features M Bucher, S Herbin, F Jurie | 5 | 2018 |
| BUDA: Boundless Unsupervised Domain Adaptation in Semantic Segmentation M Bucher, TH Vu, M Cord, P Pérez arXiv preprint arXiv:2004.01130, 2020 | 1 | 2020 |
| Semantic bottleneck for computer vision tasks M Bucher, S Herbin, F Jurie Asian Conference on Computer Vision, 695-712, 2018 | 1 | 2018 |
| Apprentissage et exploitation de représentations sémantiques pour la classification et la recherche d'images M Bucher | | 2018 |
| Zero-Shot Semantic Segmentation (Supplementary Material) M Bucher, TH Vu, M Cord, P Pérez | | |
Frederic JurieUniversity of CaenVerified email at unicaen.fr
