Roberto Alcover-Couso

Orcid: 0000-0001-9609-4416

According to our database1, Roberto Alcover-Couso authored at least 14 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Layer-wise model merging for unsupervised domain adaptation in segmentation tasks.
Vis. Comput., August, 2025

Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis.
CoRR, March, 2025

GBT-SAM: A Parameter-Efficient Depth-Aware Model for Generalizable Brain tumour Segmentation on mp-MRI.
CoRR, March, 2025

Per-class curriculum for Unsupervised Domain Adaptation in semantic segmentation.
Vis. Comput., January, 2025

Gradient-based class weighting for unsupervised domain adaptation in dense prediction visual tasks.
Pattern Recognit., 2025

Controlling semantics of diffusion-augmented data for unsupervised domain adaptation.
IET Comput. Vis., 2025

2024
Leveraging Contrastive Learning for Semantic Segmentation with Consistent Labels Across Varying Appearances.
CoRR, 2024

VLMs meet UDA: Boosting Transferability of Open Vocabulary Segmentation with Unsupervised Domain Adaptation.
CoRR, 2024

Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

How SAM Perceives Different mp-MRI Brain Tumor Domains?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
On exploring weakly supervised domain adaptation strategies for semantic segmentation using synthetic data.
Multim. Tools Appl., September, 2023

Soft labelling for semantic segmentation: Bringing coherence to label down-sampling.
CoRR, 2023


Biased Class disagreement: detection of out of distribution instances by using differently biased semantic segmentation models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


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