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David Guillamet, & Jordi Vitria. (2002). Non-negative Matrix Factorization for Face Recognition..
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David Guillamet, & Jordi Vitria. (2001). Non-negative Matrix Factorization to Extract Part-Based Representations..
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David Guillamet, & Jordi Vitria. (2001). Non-negative Matrix Factorization to Extract Part-Based Representations..
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Jaume Amores, & Petia Radeva. (2003). Non-rigid Registration of Vessel Structures in IVUS Images.
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Jose Luis Alba, A. Pujol, & Juan J. Villanueva. (2001). Novel SOM-PCA Network for Face Identification..
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M. Gomez, J. Mauri, E. Fernandez-Nofrerias, Oriol Rodriguez-Leor, Carme Julia, Petia Radeva, et al. (2002). Nuevos Avances para la correlacion de imagenes angiograficas y de ecograia intracoronaria..
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Ernest Valveny, & Antonio Lopez. (2003). Numeral Recognition for Quality Control of Surgical Sachets.
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David Masip, & Jordi Vitria. (2004). Object Recognition using Boosted Adaptive Features..
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Akhil Gurram, & Antonio Lopez. (2023). On the Metrics for Evaluating Monocular Depth Estimation.
Abstract: Monocular Depth Estimation (MDE) is performed to produce 3D information that can be used in downstream tasks such as those related to on-board perception for Autonomous Vehicles (AVs) or driver assistance. Therefore, a relevant arising question is whether the standard metrics for MDE assessment are a good indicator of the accuracy of future MDE-based driving-related perception tasks. We address this question in this paper. In particular, we take the task of 3D object detection on point clouds as a proxy of on-board perception. We train and test state-of-the-art 3D object detectors using 3D point clouds coming from MDE models. We confront the ranking of object detection results with the ranking given by the depth estimation metrics of the MDE models. We conclude that, indeed, MDE evaluation metrics give rise to a ranking of methods that reflects relatively well the 3D object detection results we may expect. Among the different metrics, the absolute relative (abs-rel) error seems to be the best for that purpose.
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David Masip, & Jordi Vitria. (2003). On the Nearest Neighbor Approach for Gender Recognition.
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Alejandro Cartas, Estefania Talavera, Petia Radeva, & Mariella Dimiccoli. (2018). On the Role of Event Boundaries in Egocentric Activity Recognition from Photostreams.
Abstract: Event boundaries play a crucial role as a pre-processing step for detection, localization, and recognition tasks of human activities in videos. Typically, although their intrinsic subjectiveness, temporal bounds are provided manually as input for training action recognition algorithms. However, their role for activity recognition in the domain of egocentric photostreams has been so far neglected. In this paper, we provide insights of how automatically computed boundaries can impact activity recognition results in the emerging domain of egocentric photostreams. Furthermore, we collected a new annotated dataset acquired by 15 people by a wearable photo-camera and we used it to show the generalization capabilities of several deep learning based architectures to unseen users.
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Petia Radeva. (2003). On the Role of Intravascular Ultrasound Image Analysis.
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A. Pujol, Alex Caralps, & Juan J. Villanueva. (2001). On the suitability of pixel-outlier removal in face recognition..
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N. Zakaria, Jean-Marc Ogier, & Josep Llados. (2005). On-line Graphics Recognition based on Invariant Spatio-Sequential Descriptor: Fuzzy Matrix.
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Jordi Gonzalez, Javier Varona, Juan J. Villanueva, & Xavier Roca. (2001). On-line Human Activity Recognition for Video Surveillance..
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