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Cited by
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
1882017
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
1682019
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
1592018
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
69*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
662019
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
132021
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
22022
Learning with Limited Annotated Data for Visual Understanding
M Dvornik
Université Grenoble Alpes, 2019
12019
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
2022
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
2022
Graph2Vid: Flow graph to Video Grounding forWeakly-supervised Multi-Step Localization
N Dvornik, I Hadji, H Pham, D Bhatt, B Martinez, A Fazly, AD Jepson
arXiv preprint arXiv:2210.04996, 2022
2022
Method and system for learning to temporal align signals with interspersed outliers
I Hadji, MA Dvornik, K Derpanis, AD Jepson
US Patent App. 17/563,813, 2022
2022
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
European Conference on Computer Vision, 319-335, 2022
2022
Flow graph to Video Grounding for Weakly-supervised Multi-Step Localization Supplemental Material
N Dvornik, I Hadji, H Pham, D Bhatt, B Martinez, A Fazly, AD Jepson
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, 0
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision Supplemental Material
H Zhao, I Hadji, N Dvornik, KG Derpanis, RP Wildes, AD Jepson
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification Download PDF Open Website
N Dvornik, C Schmid, J Mairal
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