- RIUMA Principal
- Listar por autor
Listar por autor "Castro, Francisco M."
Mostrando ítems 1-4 de 4
-
A Hybrid Piece-Wise Slowdown Model for Concurrent Kernel Execution on GPU
López Albelda, Bernabé; Castro, Francisco M.; González-Linares, José María; Guil-Mata, Nicolás (José Cano, Phil Trinder, 2022-08)Current execution of kernels on GPUs allows improving the use of hardware resources and reducing the execution time of co-executed kernels. In addition, efficient kernel-oriented scheduling policies pursuing criteria based ... -
Evaluation of CNN architectures for gait recognition based on optical flow maps
Castro, Francisco M.; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolás; López-Tapia, S.; Pérez de la Blanca, N. (2017)This work targets people identification in video based on the way they walk (\ie gait) by using deep learning architectures. We explore the use of convolutional neural networks (CNN) for learning high-level descriptors ... -
Gait recognition and fall detection with inertial sensors
Delgado-Escaño, Rubén; Castro, Francisco M.; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolás (2019-11-26)In contrast to visual information that is recorded by cameras placed somewhere, inertial information can be obtained from mobile phones that are commonly used in daily life. We present in this talk a general deep learning ... -
Gait recognition applying Incremental learning
Castro, Francisco M.; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolás; Schmid, Cordelia; Alahari, Karteek (2019-11-25)when new knowledge needs to be included in a classifier, the model is retrained from scratch using a huge training set that contains all available information of both old and new knowledge. However, in this talk, we present ...