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Author Title Type [ Year(Desc)]
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;.
Gené-Mola J, Vilaplana V, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Gregorio E. Multi-modal Deep Learning for Fuji Apple Detection Using RGB-D Cameras and their Radiometric Capabilities. Computers and Electronics in Agriculture. 2019;162.
Oriol B. Multimodal Hate Speech Detection in Memes. Canton-Ferrer C, Giró-i-Nieto X. 2019.  (1.66 MB)
Ventura C, Varas D, Vilaplana V, Giró-i-Nieto X, Marques F. Multiresolution co-clustering for uncalibrated multiview segmentation. Signal Processing: Image Communication. 2019;.  (4.35 MB)
Ramon E, Escur J, Giró-i-Nieto X. 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)
Giró-i-Nieto X. One Perceptron to Rule Them All: Language and Vision. 2019.  (15.61 MB)
Lin X, Casas J, Pardàs M. One Shot Learning for Generic Instance Segmentation in RGBD Videos. In International Conference on Computer Vision, Theory and Applications. Prague: SciTePress; 2019.  (1.64 MB)
Mas I, Morros JR, Vilaplana V. Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning. In ICCV Workshop - MDALC 2019. Seoul, South Korea; 2019.  (911.15 KB)
LLadós J, Bou E, Bressan M, Sala O, Giró-i-Nieto X. The pillars of the Computer Vision Catalan Alliance. 2019.
Ramon E, Villar J, Ruiz G, Batard T, Giró-i-Nieto X. 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)

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