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 | 159 | 2017 |
Modeling visual context is key to augmenting object detection datasets N Dvornik, J Mairal, C Schmid Proceedings of the European Conference on Computer Vision (ECCV), 364-380, 2018 | 134 | 2018 |
Diversity with cooperation: Ensemble methods for few-shot classification N Dvornik, C Schmid, J Mairal Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 129 | 2019 |
On the importance of visual context for data augmentation in scene understanding N Dvornik, J Mairal, C Schmid IEEE transactions on pattern analysis and machine intelligence 43 (6), 2014-2028, 2019 | 57 | 2019 |
Selecting relevant features from a multi-domain representation for few-shot classification N Dvornik, C Schmid, J Mairal European Conference on Computer Vision, 769-786, 2020 | 49* | 2020 |
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers M Dvornik, I Hadji, KG Derpanis, A Garg, A Jepson Advances in Neural Information Processing Systems 34, 2021 | 6 | 2021 |
Learning with Limited Annotated Data for Visual Understanding M Dvornik Université Grenoble Alpes, 2019 | 1 | 2019 |
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision H Zhao, I Hadji, N Dvornik, KG Derpanis, RP Wildes, AD Jepson arXiv preprint arXiv:2205.02300, 2022 | | 2022 |
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification Download PDF Open Website N Dvornik, C Schmid, J Mairal | | |