Publications
Journal Articles
. 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;. |
| . Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging. In Press;. |
| . 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. |
| . Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Transactions on Medical Imaging. 2019;. |
Book Chapters & Books top
| . 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. |
| . Sentiment concept embedding for visual affect recognition. In Multimodal Behavior Analysis in theWild. 1st ed. Elsevier; 2018. |
Conference Papers top
| . 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. |
| . Digitally Stained Confocal Microscopy through Deep Learning. In International Conference on Medical Imaging with Deep Learning (MIDL 2019). In Press. |
| . Cross-modal Neural Machine Translation for Sign Language Translation. In: . ACM Multimedia Doctoral Consortium. Nice, France: ACM; In Press. |
| . Audience measurement using a top-view camera and oriented trajectories. In IEEE IECON 2019. Lisbon, Portugal; In Press. |
| . Simple vs complex temporal recurrences for video saliency prediction. In British Machine Vision Conference (BMVC). In Press. |
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. |
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. Study of Gene Regulatory Networks Inference Methods from Gene Expression Data. . 2017. (2.73 MB) |
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. Manifold Learning for Super Resolution. . [Hannover]: Leibniz Universität Hannover; 2017. (18.6 MB) |
Other top
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Deep Learning Representations for All (a.k.a. the AI hype). 2019. (10.95 MB) |
Presentation |
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. Integrating low-level motion cues in deep video saliency. . 2019. (10.04 MB) |
Ms Thesis |
| . A Video Database for Analyzing Affective Physiological Responses. . 2019. | Ms Thesis |
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. Multimodal Hate Speech Detection in Memes. . 2019. (1.66 MB) |
Ms Thesis |
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. Video Saliency Prediction with Deep Neural Networks. . 2019. (2.17 MB) |
Ms Thesis |