Search Publication
] . Multimodal solid-state LiDAR for advanced perception applications. In OPTOEL. 2021. 
(786.62 KB)
(786.62 KB). Geometric Model and Calibration Method for a Solid-State LiDAR. Sensors. 2020;20(10):2898. (3.37 MB)
(3.37 MB). Multimodal imaging System based on solid-State LiDAR for Advanced perception applications. In 10th International Symposium on Optronics in defence & security. Versailles, France: 3AF OPTRO2022; 2022.
. Self-registered lidar and polarimetric images in real-time: application to detection of small objects at sea. In 7th Workshop on Active Imaging. Saint-Louis, France: French-German Research Institute of Saint-Louis (ISL); 2019.
. Extension of Instance Search Technique by Geometric Coding and Quantization Error Compensation. . 2013.
. Functionalities for mapping 2D images and 3D world objects in a Multicamera Environment. In 6th International Workshop on Image Analysis for Multimedia Interactive Services. 2005. (198.67 KB)
(198.67 KB). Parametric Region-Based Foreground Segmentation in Planar and Multi-View Sequences. . Universitat Politècnica de Catalunya (UPC); 2013. (70.23 MB)
(70.23 MB). Bayesian foreground segmentation and tracking using pixel-wise background model and region-based foreground model. In 16th IEEE International Conference on Image Processing. 2009. pp. 3205–3208.
. Foreground objects segmentation for moving camera scenarios based on SCGMM. In Computational Intelligence for Multimedia Understanding. Berlin Heidelberg: Springer; 2012. pp. 195-206.
. Segmentation and Tracking of Static and Moving Objects in Video Surveillance Scenarios. In IEEE International Conference on Image Processing. 2008. pp. 2716–2719.
. Enhanced foreground segmentation and tracking combining Bayesian background, shadow and foreground modeling. Pattern Recognition Letters. 2012;33(12):1558–1568.
. Multiview Foreground Segmentation using 3D Probabilistic Model. In ICIP, IEEE International Conference on Image Processing. 2014. (2.38 MB)
(2.38 MB). Enhanced bayesian foreground segmentation using brightness and color distortion region-based model for shadow removal. In 2010 IEEE International Conference on Image Processing. 2010. pp. 3449–3452.
. Robust 3D SFS reconstruction based on reliability maps. In ICIP, IEEE International Conference on Image Processing. 2014. (7.46 MB)
(7.46 MB). Region Based Foreground Segmentation Combinig Color and Depth Sensors Via Logarithmic Opinion Pool Decision. Journal of Visual Communication and Image Representation. 2013;.
. Joint multi-view foreground segmentation and 3D reconstruction with tolerance loop. In IEEE International Conference on Image Processing. 2011. pp. 997–1000.
. Histogram computation based on image bitwise decomposition. In ICIP 2009. 2009.
. Hierarchical stack filtering: a bitplane-based algorithm for massively parallel processors. Journal of Real-Time Image Processing. 2017;. (868.82 KB)
(868.82 KB). Gray-scale erosion algorithm based on image bitwise decomposition: application to focal plane processors. In IEEE International Conference on Acoustics, Speech and Signal Processing 2009. 2009. pp. 845–848.
. Region-oriented Convolutional Networks for Object Retrieval. . 2015. (8.02 MB)
(8.02 MB). Comparing Fixed and Adaptive Computation Time for Recurrent Neural Network. In International Conference on Learning Representations (ICLR). Vancouver, Canada; 2018. (515.54 KB)
(515.54 KB). Reproducing and Analyzing Adaptive Computation Time in PyTorch and TensorFlow. . 2018. (1.41 MB)
(1.41 MB). Las Mancomunidades en España. Boletí de la Asociación de Geógrafos Españoles. 2005;:151–176.
. Object Tracking in Video with TensorFlow. . 2016. (22.63 MB)
(22.63 MB). Simultaneous Fruit Detection and Size Estimation Using Multitask Deep Neural Networks . Biosystems Engineering. 2023;233:63-75. (10.36 MB)
(10.36 MB)