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Ivan Sosnovik
Ivan Sosnovik
GenAI Innovation Center, AWS
Verified email at amazon.co.uk - Homepage
Title
Cited by
Cited by
Year
Neural networks for topology optimization
I Sosnovik, I Oseledets
Russian Journal of Numerical Analysis and Mathematical Modelling 34 (4), 215-223, 2019
3022019
Scale-equivariant steerable networks
I Sosnovik, M Szmaja, A Smeulders
arXiv preprint arXiv:1910.11093, 2019
1582019
Scale equivariance improves siamese tracking
I Sosnovik, A Moskalev, AWM Smeulders
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021
832021
Disco: accurate discrete scale convolutions
I Sosnovik, A Moskalev, A Smeulders
arXiv preprint arXiv:2106.02733, 2021
322021
Semi-conditional normalizing flows for semi-supervised learning
A Atanov, A Volokhova, A Ashukha, I Sosnovik, D Vetrov
arXiv preprint arXiv:1905.00505 920, 2019
302019
Liegg: Studying learned lie group generators
A Moskalev, A Sepliarskaia, I Sosnovik, A Smeulders
Advances in Neural Information Processing Systems 35, 25212-25223, 2022
212022
How to transform kernels for scale-convolutions
I Sosnovik, A Moskalev, A Smeulders
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
112021
PIE: Pseudo-Invertible Encoder
JJ Beitler, I Sosnovik, A Smeulders
arXiv preprint arXiv:2111.00619, 2021
8*2021
Contrasting quadratic assignments for set-based representation learning
A Moskalev, I Sosnovik, V Fischer, A Smeulders
European Conference on Computer Vision, 88-104, 2022
72022
Learning to Summarize Videos by Contrasting Clips
I Sosnovik, A Moskalev, C Kaandorp, A Smeulders
arXiv preprint arXiv:2301.05213, 2023
22023
Built-in Elastic Transformations for Improved Robustness
S Gulshad, I Sosnovik, A Smeulders
arXiv preprint arXiv:2107.09391, 2021
12021
Recognition of objects in images with equivariance or invariance in relation to the object size
A Moskalev, I Sosnovik, A Smeulders, K Groh
US Patent 11,886,995, 2024
2024
Symmetry-based learning from limited data
I Sosnovik
Ivan Sosnovik, 2023
2023
Training a machine learnable model to estimate relative object scale
I Sosnovik, A Smeulders, K Groh
US Patent App. 17/662,013, 2022
2022
Device and method for training a scale-equivariant convolutional neural network
I Sosnovik, A Smeulders, K Groh
US Patent App. 17/446,668, 2022
2022
Wiggling Weights to Improve the Robustness of Classifiers
S Gulshad, I Sosnovik, A Smeulders
arXiv preprint arXiv:2111.09779, 2021
2021
Two is a crowd: tracking relations in videos
A Moskalev, I Sosnovik, A Smeulders
arXiv preprint arXiv:2108.05331, 2021
2021
Method and apparatus for processing sensor data using a convolutional neural network
A Smeulders, I Sosnovik, K Groh, M Szmaja
US Patent App. 17/022,895, 2021
2021
Relational Prior for Multi-Object Tracking
A Moskalev, I Sosnovik, A Smeulders
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
2021
Scale Equivariance Improves Siamese Tracking Supplementary Material
I Sosnovik, A Moskalev, A Smeulders
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