Publications
Journal Articles
| . 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. In Press;. |
| . Prediction of amyloid pathology in cognitively unimpaired individuals using voxelwise analysis of longitudinal structural brain MRI. Alzheimer's Research & Therapy. In Press;. |
| . Fruit Detection in an Apple Orchard Using a Mobile Terrestrial Laser Scanner. Biosystems Engineering. In Press;. |
. KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data. Data in Brief (Elsevier). In Press;.  (2.43 MB) |
| . Multi-modal Deep Learning for Fuji Apple Detection Using RGB-D Cameras and their Radiometric Capabilities. Computers and Electronics in Agriculture. In Press;. |
Book Chapters & Books top
| . VLX-Stories: building an online Event Knowledge Base with Emerging Entity detection. In The Semantic Web – ISWC 2019. Auckland, New Zealand; In Press. |
| . 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. |
| . Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer’s Disease. In PRedictive Intelligence in MEdicine. Springer International Publishing; 2018. pp. 60-67. |
| . Leishmaniasis Parasite Segmentation and Classification Using Deep Learning. In Articulated Motion and Deformable Objects. Springer International Publishing; 2018. pp. 53-62. |
| . Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. Springer International Publishing; 2018. pp. 274-281. |
Conference Papers top
| . Comparative study of upsampling methods for super-resolution in remote sensing. In International Conference on Machine Vision. In Press. |
| . Prediction of a second clinical event in CIS patients by combining lesion and brain features. In Congress of the European Comitee for Treatment and Research in Multiple Sclerosis (ECTRIMS 2019). In Press. |
| . 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; In Press. |
|
. Hyperparameter-Free Losses for Model-Based Monocular Reconstruction. In ICCV 2019 Workshop on Geometry Meets Deep Learning. Seoul, South Corea: IEEE / Computer Vision Foundation; In Press. (3.23 MB) |
|
. Video Object Linguistic Grounding. In ACM Multimedia Workshop on Multimodal Understanding and Learning for Embodied Applications (MULEA). Nice, France: ACM; In Press. (441.12 KB) |
Theses top
| . Computer Vision beyond the visible: Image understanding through language. . Signal Theory and Communications. [Barcelona]: Universitat Politecnica de Catalunya; 2019. |
| . Semantic and Generic Object Segmentation for Scene Analysis Using RGB-D Data. . Signal Theory and Communications (TSC). [download link]: Universitat Politècnica de Catalunya (UPC); 2018. |
| . Multi-view depth coding based on a region representation combining color and depth information. . Signal Theory and Communications (TSC). Universitat Politècnica de Catalunya (UPC); 2017. |
|
. Study of Gene Regulatory Networks Inference Methods from Gene Expression Data. . 2017. (2.73 MB) |
|
. Manifold Learning for Super Resolution. . [Hannover]: Leibniz Universität Hannover; 2017. (18.6 MB) |
Other top
|
. Recurrent Instance Segmentation with Linguistic Referring Expressions. . Submitted. (3.6 MB) |
Ms Thesis |
| . The pillars of the Computer Vision Catalan Alliance. 2019. | Presentation |
| . Synthesis of acne images for data augmentation with generative adversarial networks. . 2019. | Ms Thesis |
| . Deep learning for semantic segmentation of airplane hyperspectral imaging. . 2019. | Ms Thesis |
| . Interpretability of Deep Learning Models. . 2019. | Ms Thesis |