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NIKITA DVORNIK
NIKITA DVORNIK
Waabi
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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
2692018
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
2462017
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
2442019
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
1412020
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
962019
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
572022
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
392021
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
362022
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
152023
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
15*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
42023
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
42022
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
32023
Learning with Limited Annotated Data for Visual Understanding
M Dvornik
Université Grenoble Alpes (ComUE), 2019
32019
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
12023
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
12022
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
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
2023
GePSAn: Generative Procedure Step Anticipation in Cooking Videos
M Ashraf Abdelsalam, SB Rangrej, I Hadji, N Dvornik, KG Derpanis, ...
arXiv e-prints, arXiv: 2310.08312, 2023
2023
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