On the performance of an optimized NLMS algorithm. - Constantin Paleologu; Silviu Ciochina; Razvan Caramalau; Jacob Benesty (ECAI, 2015)

Sequential Graph Convolutional Network for Active Learning. - Razvan Caramalau; Binod Bhattarai; Tae-Kyun Kim 001 (CVPR, 2021)

Active Learning for Bayesian 3D Hand Pose Estimation. - Razvan Caramalau; Binod Bhattarai; Tae-Kyun Kim 001 (WACV, 2021)

Visual Transformer for Task-aware Active Learning. - Razvan Caramalau; Binod Bhattarai; Tae-Kyun Kim 001 (CoRR, 2021)

MoBYv2AL: Self-supervised Active Learning for Image Classification. - Razvan Caramalau; Binod Bhattarai; Danail Stoyanov; Tae-Kyun Kim 001 (BMVC, 2022)

Federated Active Learning for Target Domain Generalisation. - Razvan Caramalau; Binod Bhattarai; Danail Stoyanov (CoRR, 2023)

HUP-3D: A 3D Multi-view Synthetic Dataset for Assisted-Egocentric Hand-Ultrasound-Probe Pose Estimation. - Manuel Birlo; Razvan Caramalau; Philip J. Edwards; Brian Dromey; Matthew J. Clarkson; Danail Stoyanov (MICCAI (1), 2024)

HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound pose estimation. - Manuel Birlo; Razvan Caramalau; Philip J. Edwards; Brian Dromey; Matthew J. Clarkson; Danail Stoyanov (CoRR, 2024)

SegCol Challenge: Semantic Segmentation for Tools and Fold Edges in Colonoscopy data. - Xinwei Ju; Rema Daher; Razvan Caramalau; Baoru Huang; Danail Stoyanov; Francisco Vasconcelos 001 (CoRR, 2024)