Recent Submissions

  • Analysing agreement among different evaluators in god class and feature envy detection 

    Alkharabsheh, Khalid; Alawadi, Sadi; Crespo González Carvajal, Yania; Manso-Martínez, Mª Esperanza; Taboada González, José Ángel (IEEE, 2021)
    The automatic detection of Design Smells has evolved in parallel to the evolution of automatic refactoring tools. There was a huge rise in research activity regarding Design Smell detection from 2010 to the present. However, ...
  • Short-term anchor linking and long-term self-guided attention for video object detection 

    Cores Costa, Daniel; Brea Sánchez, Víctor Manuel; Mucientes Molina, Manuel Felipe (Elsevier, 2021)
    We present a new network architecture able to take advantage of spatio-temporal information available in videos to boost object detection precision. First, box features are associated and aggregated by linking proposals ...
  • GPU Accelerated Registration of Hyperspectral Images Using KAZE Features 

    Ordóñez Iglesias, Álvaro; Blanco Heras, Dora; Argüello Pedreira, Francisco Santiago; Demir, Begüm (Springer, 2020)
    Image registration is a common task in remote sensing, consisting in aligning different images of the same scene. It is a computationally expensive process, especially if high precision is required, the resolution is high, ...
  • Exoscarne: Assistive Strategies for an Industrial Meat Cutting System Based on Physical Human-Robot Interaction 

    Maithani, Harsh; Corrales Ramón, Juan Antonio; Lequievre, Laurent; Mezouar, Youcef; Alric, Matthieu (MDPI, 2021)
    Musculoskeletal disorders of the wrist are common in the meat industry. A proof of concept of a physical human-robot interaction (pHRI)-based assistive strategy for an industrial meat cutting system is demonstrated which ...
  • Tracking more than 100 arbitrary objects at 25 FPS through deep learning 

    Vaquero Otal, Lorenzo; Brea Sánchez, Víctor Manuel; Mucientes Molina, Manuel Felipe (Elsevier, 2022)
    Most video analytics applications rely on object detectors to localize objects in frames. However, when real-time is a requirement, running the detector at all the frames is usually not possible. This is somewhat circumvented ...

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