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. Integrating low-level motion cues in deep video saliency. . 2019. 
(10.04 MB)
(10.04 MB). Inverse Cooking: Recipe Generation from Food Images. In CVPR. Long Beach, CA, USA: OpenCVF / IEEE; 2019.
. KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data. Data in Brief. 2019;. (2.43 MB)
(2.43 MB). KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data. Data in Brief. 2019;. (2.43 MB)
(2.43 MB). Multi-modal Deep Learning for Fuji Apple Detection Using RGB-D Cameras and their Radiometric Capabilities. Computers and Electronics in Agriculture. 2019;162.
. Multi-modal Deep Learning for Fuji Apple Detection Using RGB-D Cameras and their Radiometric Capabilities. Computers and Electronics in Agriculture. 2019;162.
. Multimodal Hate Speech Detection in Memes. . 2019. (1.66 MB)
(1.66 MB). Multiresolution co-clustering for uncalibrated multiview segmentation. Signal Processing: Image Communication. 2019;. (4.35 MB)
(4.35 MB). Multi-View 3D Face Reconstruction in the Wild using Siamese Networks. In ICCV 2019 Workshop on 3D Face Alignment in the Wild Challenge Workshop (3DFAW). Seoul, South Corea: IEEE/CVF; 2019. (227.12 KB)
(227.12 KB). One Perceptron to Rule Them All: Language and Vision. 2019. (15.61 MB)
(15.61 MB). Plug-and-Train Loss for Model-Based Single View 3D Reconstruction. BMVA Technical Meeting: 3D vision with Deep Learning. London, UK: UPC; 2019. (3.97 MB)
(3.97 MB). Prediction of amyloid pathology in cognitively unimpaired individuals using voxelwise analysis of longitudinal structural brain MRI. Alzheimer's Research & Therapy. 2019;11(1).
. Recurrent Instance Segmentation using Sequences of Referring Expressions. In NeurIPS workshop on Visually Grounded Interaction and Language (ViGIL). Vancouver, Canada; 2019. (1.13 MB)
(1.13 MB). Recurrent Instance Segmentation with Linguistic Referring Expressions. . 2019. (3.6 MB)
(3.6 MB). Retinal lesions segmentation using CNNs and adversarial training. In International Symposium on Biomedical Imaging (ISBI 2019). 2019.
. RVOS: End-to-End Recurrent Network for Video Object Segmentation. In CVPR. Long Beach, CA, USA: OpenCVF / IEEE; 2019. (5.76 MB)
(5.76 MB). RVOS: End-to-End Recurrent Network for Video Object Segmentation. In CVPR. Long Beach, CA, USA: OpenCVF / IEEE; 2019. (5.76 MB)
(5.76 MB). 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.
. 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;.
. 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)
(1.79 MB). Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging. 2019;.
. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging. 2019;.
. 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)
(1.21 MB). 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)
(1.21 MB)