| Incremental learning of object detectors without catastrophic forgetting K Shmelkov, C Schmid, K Alahari Proceedings of the IEEE international conference on computer vision, 3400-3409, 2017 | 647 | 2017 |
| How good is my GAN? K Shmelkov, C Schmid, K Alahari Proceedings of the European conference on computer vision (ECCV), 213-229, 2018 | 491 | 2018 |
| Blitznet: A real-time deep network for scene understanding N Dvornik, K Shmelkov, J Mairal, C Schmid Proceedings of the IEEE international conference on computer vision, 4154-4162, 2017 | 262 | 2017 |
| Adaptive density estimation for generative models T Lucas, K Shmelkov, K Alahari, C Schmid, J Verbeek Advances in Neural Information Processing Systems 32, 2019 | 27 | 2019 |
| Adversarial training of partially invertible variational autoencoders T Lucas, K Shmelkov, K Alahari, C Schmid, J Verbeek arXiv preprint arXiv:1901.01091 6, 2019 | 7 | 2019 |
| Coverage and quality driven training of generative image models K Shmelkov, T Lucas, K Alahari, C Schmid, J Verbeek arXiv preprint arXiv:1901.01091, 2019 | 3 | 2019 |
| Approaches for incremental learning and image generation K Shmelkov Université Grenoble Alpes, 2019 | 1 | 2019 |
| Computer implemented method for generating a 3d object R Ahlfeld, S Sathyanandha, P Wooldridge, M Emanuelli, S Syed, D Stefan, ... US Patent App. 18/543,600, 2024 | | 2024 |
| Approches pour l'apprentissage incrémental et la génération des images K Shmelkov Université Grenoble Alpes (ComUE), 2019 | | 2019 |
| Coverage and Quality Driven Training of Generative Image Models T Lucas, K Shmelkov, K Alahari, C Schmid, J Verbeek | | 2018 |
| All Publications LW Pin | | |
Cordelia SchmidResearch director INRIA 確認したメール アドレス: inria.fr
