| 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 | 284 | 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 | 264 | 2019 |
| 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 | 258 | 2017 |
| Selecting relevant features from a multi-domain representation for few-shot classification N Dvornik, C Schmid, J Mairal Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 156 | 2020 |
| 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 | 109 | 2019 |
| Slotformer: Unsupervised visual dynamics simulation with object-centric models Z Wu, N Dvornik, K Greff, T Kipf, A Garg arXiv preprint arXiv:2210.05861, 2022 | 80 | 2022 |
| 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, 13782-13793, 2021 | 53 | 2021 |
| P3iv: Probabilistic procedure planning from instructional videos with weak supervision H Zhao, I Hadji, N Dvornik, KG Derpanis, RP Wildes, AD Jepson Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 43 | 2022 |
| Stepformer: Self-supervised step discovery and localization in instructional videos N Dvornik, I Hadji, R Zhang, KG Derpanis, RP Wildes, AD Jepson Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 27 | 2023 |
| Graph2vid: Flow graph to video grounding for weakly-supervised multi-step localization N Dvornik, I Hadji, H Pham, D Bhatt, B Martinez, A Fazly, AD Jepson arXiv preprint arXiv:2210.04996, 2022 | 19* | 2022 |
| Gepsan: Generative procedure step anticipation in cooking videos MA Abdelsalam, SB Rangrej, I Hadji, N Dvornik, KG Derpanis, A Fazly Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
| Labelformer: Object trajectory refinement for offboard perception from lidar point clouds AJ Yang, S Casas, N Dvornik, S Segal, Y Xiong, JSK Hu, C Fang, ... Conference on Robot Learning, 3364-3383, 2023 | 5 | 2023 |
| Self-supervised learning of action affordances as interaction modes L Wang, N Dvornik, R Dubeau, M Mittal, A Garg 2023 IEEE International Conference on Robotics and Automation (ICRA), 7279-7286, 2023 | 5 | 2023 |
| SAGE: Saliency-guided mixup with optimal rearrangements A Ma, N Dvornik, R Zhang, L Pishdad, KG Derpanis, A Fazly arXiv preprint arXiv:2211.00113, 2022 | 5 | 2022 |
| Learning with Limited Annotated Data for Visual Understanding M Dvornik Université Grenoble Alpes, 2019 | 3 | 2019 |
| DecompoVision: Reliability Analysis of Machine Vision Components through Decomposition and Reuse BC Hu, L Marsso, N Dvornik, H Shen, M Chechik Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 2 | 2023 |
| SlotFormer: Long-Term Dynamic Modeling in Object-Centric Models Z Wu, N Dvornik, K Greff, J Xi, T Kipf, A Garg UAI 2022 Workshop on Causal Representation Learning, 2022 | 1 | 2022 |
| Probabilistic procedure planning for instructional videos H Zhao, MA Dvornik, I Hadji, R Wildes, K Derpanis, AD Jepson US Patent 12,050,640, 2024 | | 2024 |
| Step discovery and localization in instructional videos using a self-supervised transformer M Dvornik, I Hadji, R Zhang, K Derpanis, R Wildes, G Animesh, ... US Patent App. 18/227,560, 2024 | | 2024 |
| Saliency-guided mixup with optimal re-arrangements for efficient data augmentation B Ma, M Dvornik, R Zhang, K Derpanis, A Fazly US Patent App. 18/201,521, 2024 | | 2024 |
Julien MairalInria - Univ. Grenoble AlpesZweryfikowany adres z inria.fr
