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CNN-based bacilli detection in sputum samples for tuberculosis diagnosis. In International Symposium on Biomedical Imaging (ISBI 2019). 2019.
. Comparative study of upsampling methods for super-resolution in remote sensing. In International Conference on Machine Vision. 2019.
. Computer Vision beyond the visible: Image understanding through language. . Signal Theory and Communications. [Barcelona]: Universitat Politecnica de Catalunya; 2019.
. Correspondence matching in unorganized 3D point clouds using Convolutional Neural Networks. Image and Vision Computing. 2019;83-84.
(3.95 MB)
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Cross-modal Neural Sign Language Translation. In: . Proceedings of the 27th ACM International Conference on Multimedia - Doctoral Symposium. Nice, France: ACM; 2019.
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Deep Learning Representations for All (a.k.a. the AI hype). 2019.
(10.95 MB)
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Depth Estimation and Semantic Segmentation from a Single RGB Image Using a Hybrid Convolutional Neural Network. Sensors. 2019;19(8).
(4.75 MB)
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Detection of Amyloid Positive Cognitively unimpaired individuals using voxel-based machine learning on structural longitudinal brain MRI. In Alzheimer's Association International Conference. 2019.
. Detection of Amyloid-Positive Cognitively Unimpaired Individuals Using Voxel-Based Machine Learning on Structural Longitudinal Brain MRI. Alzheimer's & Dementia. 2019;15(754).
. 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.
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Digitally Stained Confocal Microscopy through Deep Learning. In International Conference on Medical Imaging with Deep Learning (MIDL 2019). London; 2019.
. . Fruit Detection in an Apple Orchard Using a Mobile Terrestrial Laser Scanner. Biosystems Engineering. 2019;187.
. A Generative Dialogue System for Reminiscence Therapy. . 2019.
(4.89 MB)
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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)
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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.
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Integrating low-level motion cues in deep video saliency. . 2019.
(10.04 MB)
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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)
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Measuring traffic lane-changing by converting video into space-time still images. Computer-Aided Civil and Infrastructure Engineering. 2019;.
. 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)
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Multiresolution co-clustering for uncalibrated multiview segmentation. Signal Processing: Image Communication. 2019;.
(4.35 MB)
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