Razvan Caramalau

According to our database, Razvan Caramalau authored at least 11 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CoRe-DA: Contrastive Regression for Unsupervised Domain Adaptation in Surgical Skill Assessment.

Dimitrios Anastasiou, Razvan Caramalau, Jialang Xu, Runlong He, Freweini M. Tesfai, Matthew Boal, Nader Francis, Danail Stoyanov, Evangelos B. Mazomenos

CoRR, March, 2026

2025

Exploring Pre-training Across Domains for Few-Shot Surgical Skill Assessment.

Dimitrios Anastasiou, Razvan Caramalau, Nazir Sirajudeen, Matthew Boal, Philip J. Edwards, Justin Collins, John D. Kelly, Ashwin Sridhar, Maxine Tran, Faiz Mumtaz, Nevil Pavithran, Nader Francis, Danail Stoyanov, Evangelos B. Mazomenos

Proceedings of the Data Engineering in Medical Imaging - Third MICCAI Workshop, 2025

Federated Active Learning for Target Domain Generalisation.

Razvan Caramalau, Binod Bhattarai, Danail Stoyanov

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

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

CoRR, 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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2022

MoBYv2AL: Self-supervised Active Learning for Image Classification.

Razvan Caramalau, Binod Bhattarai, Danail Stoyanov, Tae-Kyun Kim

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Visual Transformer for Task-aware Active Learning.

Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim

CoRR, 2021

Active Learning for Bayesian 3D Hand Pose Estimation.

Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Sequential Graph Convolutional Network for Active Learning.

Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2015

On the performance of an optimized NLMS algorithm.

Constantin Paleologu, Silviu Ciochina, Razvan Caramalau, Jacob Benesty

Proceedings of the 2015 7th International Conference on Electronics, 2015