Scale equivariance improves siamese tracking I Sosnovik, A Moskalev, AWM Smeulders Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 55 | 2021 |
DISCO: accurate Discrete Scale Convolutions I Sosnovik, A Moskalev, A Smeulders arXiv preprint arXiv:2106.02733, 2021 | 24 | 2021 |
How to Transform Kernels for Scale-Convolutions I Sosnovik, A Moskalev, A Smeulders Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 10 | 2021 |
Liegg: Studying learned lie group generators A Moskalev, A Sepliarskaia, I Sosnovik, A Smeulders Advances in Neural Information Processing Systems 35, 25212-25223, 2022 | 6 | 2022 |
Contrasting quadratic assignments for set-based representation learning A Moskalev, I Sosnovik, V Fischer, A Smeulders European Conference on Computer Vision, 88-104, 2022 | 4 | 2022 |
On genuine invariance learning without weight-tying A Moskalev, A Sepliarskaia, EJ Bekkers, A Smeulders arXiv preprint arXiv:2308.03904, 2023 | | 2023 |
DEVICE AND COMPUTER-IMPLEMENTED METHOD FOR OBJECT TRACKING A Moskalev, A Smeulders, V Fischer US Patent App. 17/873,131, 2023 | | 2023 |
Learning to Summarize Videos by Contrasting Clips I Sosnovik, A Moskalev, C Kaandorp, A Smeulders arXiv preprint arXiv:2301.05213, 2023 | | 2023 |
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 App. 17/360,709, 2021 | | 2021 |
Two is a crowd: tracking relations in videos A Moskalev, I Sosnovik, A Smeulders arXiv preprint arXiv:2108.05331, 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 |
Trainable Regularization for Wiener Deconvolution A Moskalev | | 2019 |
Scale Equivariance Improves Siamese Tracking Supplementary Material I Sosnovik, A Moskalev, A Smeulders | | |