MPEG video object segmentation under camera motion and multimodal backgrounds. - Marcos Escudero; Fabricio Tiburzi; Jesús Bescós (ICIP, 2008)

A ground truth for motion-based video-object segmentation. - Fabricio Tiburzi; Marcos Escudero; Jesús Bescós; José María Martínez Sanchez (ICIP, 2008)

A robust framework for region based video object segmentation. - Marcos Escudero-Viñolo; Jesús Bescós (ICIP, 2010)

Region-based video object segmentation robust to illumination. - Marcos Escudero; Jesús Bescós (WIAMIS, 2010)

Real-time single-view video event recognition in controlled environments. - Juan Carlos SanMiguel Avedillo; Marcos Escudero-Viñolo; José M. Martínez 001; Jesús Bescós (CBMI, 2011)

Real-time user independent hand gesture recognition from time-of-flight camera video using static and dynamic models. - Javier Molina; Marcos Escudero-Viñolo; Alessandro Signoriello; Montse Pardàs; Christian Ferran Bennström; Jesús Bescós; Ferran Marqués; José M. Martínez 001 (Mach. Vis. Appl., 2013)

Enhancing region-based object tracking with the SP-SIFT feature. - Fulgencio Navarro Fajardo; Marcos Escudero-Viñolo; Jesús Bescós Cano (CBMI, 2014)

A natural and synthetic corpus for benchmarking of hand gesture recognition systems. - Javier Molina; José A. Pajuelo; Marcos Escudero-Viñolo; Jesús Bescós; José M. Martínez 001 (Mach. Vis. Appl., 2014)

Severe-occluded 3D object identification via region-based descriptions. - Marcos Escudero-Viñolo; Jesús Bescós (Signal Process. Image Commun., 2017)

Automatic Semantic Parsing of the Ground Plane in Scenarios Recorded With Multiple Moving Cameras. - Alejandro López-Cifuentes; Marcos Escudero-Viñolo; Jesús Bescós (IEEE Signal Process. Lett., 2018)

Accurate Segmentation and Registration of Skin Lesion Images to Evaluate Lesion Change. - Fulgencio Navarro Fajardo; Marcos Escudero-Viñolo; Jesús Bescós (IEEE J. Biomed. Health Informatics, 2019)

Visualizing the Effect of Semantic Classes in the Attribution of Scene Recognition Models. - Alejandro López-Cifuentes; Marcos Escudero-Viñolo; Andrija Gajic; Jesús Bescós (ICPR Workshops (3), 2020)

Egocentric Human Segmentation for Mixed Reality. - Andrija Gajic; Ester Gonzalez-Sosa; Diego González Morín; Marcos Escudero-Viñolo; Álvaro Villegas (CoRR, 2020)

A Prospective Study on Sequence-Driven Temporal Sampling and Ego-Motion Compensation for Action Recognition in the EPIC-Kitchens Dataset. - Alejandro López-Cifuentes; Marcos Escudero-Viñolo; Jesús Bescós (CoRR, 2020)

Squeezing the DCT to Fight Camouflage. - Marcos Escudero-Viñolo; Jesús Bescós (J. Math. Imaging Vis., 2020)

Semantic-aware scene recognition. - Alejandro López-Cifuentes; Marcos Escudero-Viñolo; Jesús Bescós; Álvaro García-Martín (Pattern Recognit., 2020)

Improved skin lesion recognition by a Self-Supervised Curricular Deep Learning approach. - Kirill Sirotkin; Marcos Escudero-Viñolo; Pablo Carballeira; Juan Carlos SanMiguel Avedillo (CoRR, 2021)

A study on the distribution of social biases in self-supervised learning visual models. - Kirill Sirotkin; Pablo Carballeira; Marcos Escudero-Viñolo (CVPR, 2022)

CCL: Class-Wise Curriculum Learning for Class Imbalance Problems. - Marcos Escudero-Viñolo; Alejandro López-Cifuentes (ICIP, 2022)

Impact of a DCT-driven Loss in Attention-based Knowledge-Distillation for Scene Recognition. - Alejandro López-Cifuentes; Marcos Escudero-Viñolo; Jesús Bescós; Juan C. SanMiguel (CoRR, 2022)

Graph Convolutional Network for Multi-Target Multi-Camera Vehicle Tracking. - Elena Luna; Juan Carlos San Miguel; José María Martínez Sanchez; Marcos Escudero-Viñolo (CoRR, 2022)

Semantic-driven multi-camera pedestrian detection. - Alejandro López-Cifuentes; Marcos Escudero-Viñolo; Jesús Bescós; Pablo Carballeira (Knowl. Inf. Syst., 2022)

Online clustering-based multi-camera vehicle tracking in scenarios with overlapping FOVs. - Elena Luna; Juan C. SanMiguel; José M. Martínez 001; Marcos Escudero-Viñolo (Multim. Tools Appl., 2022)

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)

Self-Supervised Curricular Deep Learning for Chest X-Ray Image Classification. - Iván de Andrés Tamé; Kirill Sirotkin; Pablo Carballeira; Marcos Escudero-Viñolo (CoRR, 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)

Attention-Based Knowledge Distillation in Scene Recognition: The Impact of a DCT-Driven Loss. - Alejandro López-Cifuentes; Marcos Escudero-Viñolo; Jesús Bescós; Juan C. SanMiguel (IEEE Trans. Circuits Syst. Video Technol., 2023)

Pinpoint Counterfactuals: Reducing social bias in foundation models via localized counterfactual generation. - Kirill Sirotkin; Marcos Escudero-Viñolo; Pablo Carballeira; Mayug Maniparambil; Catarina Barata; Noel E. O'Connor (CoRR, 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)

Spacecraft Pose Estimation: Robust 2-D and 3-D Structural Losses and Unsupervised Domain Adaptation by Intermodel Consensus. - Juan Ignacio Bravo Pérez-Villar; Álvaro García-Martín; Jesús Bescós; Marcos Escudero-Viñolo (IEEE Trans. Aerosp. Electron. Syst., 2024)

Improved transferability of self-supervised learning models through batch normalization finetuning. - Kirill Sirotkin; Marcos Escudero-Viñolo; Pablo Carballeira; Álvaro García-Martín (Appl. Intell., 2024)

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)

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)