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Răzvan Caramalău
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Year
Sequential graph convolutional network for active learning
R Caramalau, B Bhattarai, TK Kim
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
982021
Active learning for bayesian 3d hand pose estimation
R Caramalau, B Bhattarai, TK Kim
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
172021
Mobyv2al: Self-supervised active learning for image classification
R Caramalau, B Bhattarai, D Stoyanov, TK Kim
arXiv preprint arXiv:2301.01531, 2023
62023
Visual transformer for task-aware active learning
R Caramalau, B Bhattarai, TK Kim
arXiv preprint arXiv:2106.03801, 2021
62021
Federated Active Learning for Target Domain Generalisation
R Caramalau, B Bhattarai, D Stoyanov
arXiv preprint arXiv:2312.02247, 2023
2023
Preface DEMI 2023: Data Engineering in Medical Imaging
B Bhattarai, S Ali, A Rau, A Nguyen, A Namburete, R Caramalau, ...
1st MICCAI Workshop on Data Engineering in Medical Imaging, DEMI 2023, v, 2023
2023
Data Engineering in Medical Imaging: First MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
B Bhattarai, S Ali, A Rau, A Nguyen, A Namburete, R Caramalau, ...
Springer Nature, 2023
2023
Parametric active learning techniques for 3D hand pose estimation
R Caramalau
Imperial College London, 2023
2023
On the performance of an optimized NLMS algorithm
C Paleologu, S Ciochină, R Caramalău, J Benesty
2015 7th International Conference on Electronics, Computers and Artificial …, 2015
2015
Data Engineering in Medical Imaging
B Bhattarai, S Ali, A Rau, A Nguyen, A Namburete, R Caramalau, ...
Sequential Graph Convolutional Network for Active Learning (Supplementary Material)
R Caramalau, B Bhattarai, TK Kim
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