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2019
Bellver M, Salvador A, Torres J, Giró-i-Nieto X. Budget-aware Semi-Supervised Semantic and Instance Segmentation. In CVPR 2019 DeepVision Workshop. Long Beach, CA, USA: OpenCVF; 2019.  (6.59 MB)
Domenech T. Clasificación de imágenes dermatoscópicas utilizando Redes Neuronales Convolucionales e información de metadatos. Vilaplana V. 2019.
Tarrés L. Clasificación de lesiones de piel con un ensemble de redes neuronales residuales. Vilaplana V, Combalia M. 2019.
Isart A, Espasa M, Vilaplana V, Sayrol E. CNN-based bacilli detection in sputum samples for tuberculosis diagnosis. In International Symposium on Biomedical Imaging (ISBI 2019). 2019.
Salgueiro L, Marcello J, Vilaplana V. Comparative study of upsampling methods for super-resolution in remote sensing. In International Conference on Machine Vision. 2019.
Salvador A. Computer Vision beyond the visible: Image understanding through language. Giró-i-Nieto X, Marqués F. Signal Theory and Communications. [Barcelona]: Universitat Politecnica de Catalunya; 2019.
Pujol-Miró A, Casas J, Ruiz-Hidalgo J. Correspondence matching in unorganized 3D point clouds using Convolutional Neural Networks. Image and Vision Computing. 2019;83-84.  (3.95 MB)
Duarte A. Cross-modal Neural Sign Language Translation. In: Torres J, Giró-i-Nieto X. Proceedings of the 27th ACM International Conference on Multimedia - Doctoral Symposium. Nice, France: ACM; 2019.  (392.69 KB)
Balibrea M. Deep learning for semantic segmentation of airplane hyperspectral imaging. Salgueiro L, Vilaplana V. 2019.
Deep Learning Representations for All (a.k.a. the AI hype). 2019.  (10.95 MB)
Lin X, Sanchez-Escobedo D, Casas J, Pardàs M. Depth Estimation and Semantic Segmentation from a Single RGB Image Using a Hybrid Convolutional Neural Network. Sensors. 2019;19(8).  (4.75 MB)
Casamitjana A, Petrone P, Falcon C, Artigues M, Operto G, Cacciaglia R, et al.. Detection of Amyloid Positive Cognitively unimpaired individuals using voxel-based machine learning on structural longitudinal brain MRI. In Alzheimer's Association International Conference. 2019.
Casamitjana A, Petrone P, Falcon C, Artigues M, Operto G, Cacciaglia R, et al.. Detection of Amyloid-Positive Cognitively Unimpaired Individuals Using Voxel-Based Machine Learning on Structural Longitudinal Brain MRI. Alzheimer's & Dementia. 2019;15(754).
Roisman A, Navarro A, Clot G, Castellano G, Gonzalez-Farre B, Pérez-Galan P, et al.. Differential expression of long non-coding RNAs related to proliferation and histological diversity in follicular lymphomas. British Journal of Haematology. 2019;184(3):373-383.  (980.9 KB)
Combalia M, Pérez-Anker J, García-Herrera A, Alos L, Vilaplana V, Marques F, et al.. Digitally Stained Confocal Microscopy through Deep Learning. In International Conference on Medical Imaging with Deep Learning (MIDL 2019). London; 2019.
Comas A. Exploring Methods for Enhancing Linear Prediction of Video Sequences. Camps O, Giró-i-Nieto X. 2019.
Gené-Mola J, Gregorio E, Guevara J, Cheein FAuat, Sanz R, Escolà A, et al.. Fruit Detection in an Apple Orchard Using a Mobile Terrestrial Laser Scanner. Biosystems Engineering. 2019;187.
Caros M. A Generative Dialogue System for Reminiscence Therapy. Radeva P, Giró-i-Nieto X. 2019.  (4.89 MB)
Oriol B, Canton-Ferrer C, Giró-i-Nieto X. Hate Speech in Pixels: Detection of Offensive Memes towards Automatic Moderation. In NeurIPS 2019 Workshop on AI for Social Good. Vancouver, Canada; 2019.  (1.91 MB)
Ramon E, Ruiz G, Batard T, Giró-i-Nieto X. Hyperparameter-Free Losses for Model-Based Monocular Reconstruction. In ICCV 2019 Workshop on Geometry Meets Deep Learning. Seoul, South Corea: IEEE / Computer Vision Foundation; 2019.  (749.7 KB)
Caselles P. Integrating low-level motion cues in deep video saliency. McGuinness K, Giró-i-Nieto X. 2019.  (10.04 MB)
Domingo P. Interpretability of Deep Learning Models. Vilaplana V. 2019.
Salvador A, Drozdzal M, Giró-i-Nieto X, Romero A. Inverse Cooking: Recipe Generation from Food Images. In CVPR. Long Beach, CA, USA: OpenCVF / IEEE; 2019.
Gené-Mola J, Vilaplana V, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Gregorio E. 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)
Sala M, Soriguera F, Huillca K, Vilaplana V. Measuring traffic lane-changing by converting video into space-time still images. Computer-Aided Civil and Infrastructure Engineering. 2019;.

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