• A Hybrid Piece-Wise Slowdown Model for Concurrent Kernel Execution on GPU 

      López Albelda, Bernabé; Castro, Francisco M.; Gonzalez-Linares, Jose Maria; Guil-Mata, Nicolas (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 ...
    • End-to-end Incremental Learning 

      Castro, Francisco M.; Castro (2018-07-06)
      Although deep learning approaches have stood out in recent years due to their state-of-the-art results, they continue to suffer from (catastrophic forgetting), a dramatic decrease in overall performance when training with ...
    • Evaluation of CNN architectures for gait recognition based on optical flow maps 

      Castro, Francisco M.; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolas; 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, Nicolas (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, Nicolas; 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 ...