Razvan Caramalau

Skilled Postdoctoral Research Fellow focused on Active Learning research at University College London. Bringing experience in both self-directed and support research capacities, as well as PhD degree in Computer Vision from Imperial College of London. Enthusiastic about furthering field knowledge and publishing professional papers to raise university profile.

• "Federated Active Learning for Domain Generalisation", Razvan Caramalau, Binod Bhattarai, Danail Stoyanov, 2023, preprint
• "Parametric active learning techniques for 3D hand pose estimation", Razvan Caramalau, 2023, Imperial College London, PhD Thesis.
• "MoBYv2AL: Self-supervised Active Learning for Image Classification", Razvan Caramalau, Binod Bhattarai, Danail Stoyanov, Tae-Kyun Kim, 2023, British Machine Vision Conference (BMVC)
• "Visual transformer for task-aware active learning", Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim, 2021, preprint
• "Sequential graph convolutional network for active learning", Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim, 2021, Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR)
• "Active learning for bayesian 3D hand pose estimation", Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim, 2021, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
• "On the performance of an optimized NLMS algorithm", Constantin Paleologu, Silviu Ciochină, Razvan Caramalau, Jacob Benesty, 2015, 7th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)