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Author Title Type [ Year(Asc)]
2019
Ventura C, Bellver M, Girbau A, Salvador A, Marqués F, Giró-i-Nieto X. RVOS: End-to-End Recurrent Network for Video Object Segmentation. In CVPR. Long Beach, CA, USA: OpenCVF / IEEE; 2019.  (5.76 MB)
García-Gómez P, Riu J, Casas J, Royo S. Self-registered lidar and polarimetric images in real-time: application to detection of small objects at sea. In 7th Workshop on Active Imaging. Saint-Louis, France: French-German Research Institute of Saint-Louis (ISL); 2019.
Casamitjana A, Petrone P, Molinuevo JL, Gispert JD, Vilaplana V. Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study. IEEE Journal of Biomedical and Health Informatics. 2019;.
Salembier P, Liesegang S, López-Martínez C. Ship Detection in SAR Images Based on Maxtree Representation and Graph Signal Processing. IEEE Transactions on Geoscience and Remote Sensing. 2019;57(5):2709 - 2724.  (5.5 MB)
Linardos P, Mohedano E, Nieto JJosé, O'Connor N, Giró-i-Nieto X, McGuinness K. Simple vs complex temporal recurrences for video saliency prediction. In British Machine Vision Conference (BMVC). Cardiff, Wales / UK.: British Machine Vision Association; 2019.  (1.79 MB)
Kuijf H, Biesbroek M, de Bresser J, Heinen R, Andermatt S, Bento M, et al.. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging. 2019;.
Casamitjana A, Vilaplana V. Study of early stages of Alzheimer’s disease using magnetic resonance imaging. Signal Theory and Communications. [Barcelona]: Universitat Politècnica de Catalunya; 2019.
Casals R. Synthesis of acne images for data augmentation with generative adversarial networks. Vilaplana V. 2019.
Bellot P, Salembier P, Pham NC, Meyer PE. Unsupervised GRN Ensemble. In Sanguinetti G., Huynh-Thu V. (eds) Methods in Molecular Biology . New York, NY: Springer science, Humana Press; 2019. pp. 283-302.
Gené-Mola J, Vilaplana V, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Gregorio E. Uso de redes neuronales convolucionales para la detección remota de frutos con cámaras RGB-D. In Congreso Ibérico de Agroingeniería. Huesca: Universidad de Zaragoza (UZA); 2019.  (1.21 MB)
Granero M. A Video Database for Analyzing Affective Physiological Responses. Borth D, Weber B, Giró-i-Nieto X. 2019.  (23.66 MB)
Herrera-Palacio A, Ventura C, Giró-i-Nieto X. Video Object Linguistic Grounding. In ACM Multimedia Workshop on Multimodal Understanding and Learning for Embodied Applications (MULEA). Nice, France: ACM; 2019.  (441.12 KB)
Nieto JJosé. Video Saliency Prediction with Deep Neural Networks. Mohedano E, McGuinness K, Giró-i-Nieto X. 2019.  (2.17 MB)
Fernàndez D, Bou E, Giró-i-Nieto X. VLX-Stories: a Semantically Linked Event platform for media publishers. In Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019). Auckland, New Zealand: CEUR Workshop Proceeedings; 2019.  (759.51 KB)
Fernàndez D, Bou E, Giró-i-Nieto X. VLX-Stories: building an online Event Knowledge Base with Emerging Entity detection. In The Semantic Web – ISWC 2019. Auckland, New Zealand: Springer, Cham; 2019. pp. 382-399.  (1.42 MB)
Tubau M. Wav2Pix: Enhancement and Evaluation of a Speech-conditioned Image Generator. Duarte A, Giró-i-Nieto X. 2019.  (9.65 MB)
Duarte A, Roldán F, Tubau M, Escur J, Pascual-deLaPuente S, Salvador A, et al.. Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks. In ICASSP. Brighton, UK: IEEE; 2019.  (4.42 MB)
2018
Xu Z, Vilaplana V, Morros JR. Action Tube Extraction based 3D -CNN for RGB-D Action Recognition. In International Conference on Content-Based Multimedia Indexing CBMI 2018. 2018.  (3.09 MB)
Tochon G, Dalla Mura M, Veganzones MA, Valero S, Salembier P, Chanussot J. Advances in utilization of hierarchical representations in remote sensing data analysis. In Reference Module in Earth Systems and Environmental Sciences. Elsevier; 2018. pp. 77-107.
Artigot JMartínez. Automatic fruit classification using deep learning. Morros JRamon, Vilaplana V. 2018.
Roca S. Block-based Speech-to-Speech Translation. Duarte A, Giró-i-Nieto X. 2018.  (505.01 KB)
Roselló CBonín. Brain lesion segmentation using Convolutional Neuronal Networks. Casamitjana A, Vilaplana V. 2018.  (3.15 MB)
Sánchez I, Vilaplana V. Brain MRI Super-Resolution using Generative Adversarial Networks. In International Conference on Medical Imaging with Deep Learning. Amsterdam, The Netherlands; 2018.
Casamitjana A, Catà M, Sánchez I, Combalia M, Vilaplana V. Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation. In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2017. Crimi A., Bakas S., Kuijf H., Menze B., Reyes M. (eds). Cham: Springer; 2018. pp. 381-391.
Petrone P, Casamitjana A, Falcon C, Artigues M, Operto G, Skouras S, et al.. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2018;14(7):P1235.

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