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Year
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
1592017
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
1342018
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
1292019
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
572019
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
62021
Learning with Limited Annotated Data for Visual Understanding
M Dvornik
Université Grenoble Alpes, 2019
12019
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
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