Biased Class disagreement: detection of out of distribution instances by using differently biased semantic segmentation models. - Roberto Alcover-Couso; Juan C. SanMiguel; Marcos Escudero-Viñolo (ICCV (Workshops), 2023)

The Robust Semantic Segmentation UNCV2023 Challenge Results. - Xuanlong Yu; Yi Zuo; Zitao Wang; Xiaowen Zhang; Jiaxuan Zhao; Yuting Yang 008; Licheng Jiao; Rui Peng; Xinyi Wang; Junpei Zhang; Kexin Zhang 003; Fang Liu 001; et al. (ICCV (Workshops), 2023)

Soft labelling for semantic segmentation: Bringing coherence to label down-sampling. - Roberto Alcover-Couso; Marcos Escudero-Viñolo; Juan C. SanMiguel (CoRR, 2023)

On exploring weakly supervised domain adaptation strategies for semantic segmentation using synthetic data. - Roberto Alcover-Couso; Juan C. SanMiguel; Marcos Escudero-Viñolo; Álvaro García-Martín (Multim. Tools Appl., 2023)

How SAM Perceives Different mp-MRI Brain Tumor Domains? - Cecilia Diana-Albelda; Roberto Alcover-Couso; Álvaro García-Martín; Jesús Bescós (CVPR Workshops, 2024)

Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models. - Pablo Marcos-Manchón; Roberto Alcover-Couso; Juan C. SanMiguel; Jose M. Martínez (CVPR, 2024)

VLMs meet UDA: Boosting Transferability of Open Vocabulary Segmentation with Unsupervised Domain Adaptation. - Roberto Alcover-Couso; Marcos Escudero-Viñolo; Juan C. SanMiguel; Jesús Bescós (CoRR, 2024)

Leveraging Contrastive Learning for Semantic Segmentation with Consistent Labels Across Varying Appearances. - Javier Montalvo; Roberto Alcover-Couso; Pablo Carballeira; Álvaro García-Martín; Juan C. SanMiguel; Marcos Escudero-Viñolo (CoRR, 2024)

Controlling semantics of diffusion-augmented data for unsupervised domain adaptation. - Henrietta Ridley; Roberto Alcover-Couso; Juan C. SanMiguel (IET Comput. Vis., 2025)

Gradient-based class weighting for unsupervised domain adaptation in dense prediction visual tasks. - Roberto Alcover-Couso; Marcos Escudero-Viñolo; Juan C. SanMiguel; Jesús Bescós (Pattern Recognit., 2025)

Per-class curriculum for Unsupervised Domain Adaptation in semantic segmentation. - Roberto Alcover-Couso; Juan C. SanMiguel; Marcos Escudero-Viñolo; Pablo Carballeira (Vis. Comput., 2025)

GBT-SAM: A Parameter-Efficient Depth-Aware Model for Generalizable Brain tumour Segmentation on mp-MRI. - Cecilia Diana-Albelda; Roberto Alcover-Couso; Álvaro García-Martín; Jesús Bescós; Marcos Escudero-Viñolo (CoRR, 2025)

Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis. - Chanyoung Kim 001; Dayun Ju; Jinyeong Kim; Woojung Han; Roberto Alcover-Couso; Seong Jae Hwang (CoRR, 2025)

Layer-wise model merging for unsupervised domain adaptation in segmentation tasks. - Roberto Alcover-Couso; Juan C. SanMiguel; Marcos Escudero-Viñolo; Jose M. Martínez (Vis. Comput., 2025)