María José Gómez Silva

María José Gómez Silva

Position: PhD. Assistant Professor

Email: magomezs[at]ing.uc3m.es
Telephone: 
Address: Avda de la Universidad 30, 28911, Leganés, Madrid
Office: 1.3.B.13

Brief Bio

María J. Gómez was graduated as Industrial Technical Engineer specialized in Electronics in 2012 at Universidad de Extremadura, and was awarded the best graduate student. She received her M.Sc. Degree in Robotics and Automation in 2014 at Universidad Carlos III de Madrid (UC3M). Currently, she is developing her PhD degree in Electrical Engineering, Electronics and Automation program at UC3M with Intelligent Systems Lab (LSI). She has experience in image and point cloud data processing and is working in the research field of Intelligent Surveillance Systems.

Projects

Recent Public Projects

  • Seguridad de los vehículos Automóviles, por un Transporte Inteligente, Eficiente y Seguro (SEGVAUTO-TRIES). Assitant Researcher. Funded by Comunidad de Madrid. 2014-2018.
  • Sistema robotizado inteligente de precisión y alto rendimiento para guiado automático de bateo y optimización de construcción y mantenimiento de la vía ferrea, basado en visión artificial y fusión de sensores (AVATTRACK). Assitant Researcher .Funded by Ministerio de Economía y Competitividad. 2014-2016.

Recent Private Projects

  • Proyecto de Viabilidad de la comunicación entre el Bus CAN de un vehículo específico con un dispositivo de adquisición de datos móviles. Assitant Researcher. Funded by SERCORE TECH, S.L. 2014-2015.

Publications

  1. Intelligent surveillance of indoor environments based on computer vision and 3D point cloud fusion, MJ Gómez-Silva, F García, D Martín, A de la Escalera, JM Armingol, Expert Systems with Applications 42 (21), 8156-8171
  2. Deep part features learning by a normalised double-margin-based contrastive loss function for person re-identification, MJ Gómez-Silva, JM Armingol, A de la Escalera, International Conference on Computer Vision Theory and Applications 7, 277-285
  3. Deep Parts Similarity Learning for Person Re-Identification., MJ Gómez-Silva, JM Armingol, A de la Escalera, VISIGRAPP (5: VISAPP), 419-428
  4. Balancing people re-identification data for deep parts similarity learning, MJ Gómez-Silva, JM Armingol, A de la Escalera, Journal of Imaging Science and Technology
  5. Transferring learning from multi-person tracking to person re-identification, MJ Gómez-Silva, E Izquierdo, A Escalera, JM Armingol, Integrated Computer-Aided Engineering, 1-16

Awards

 Award for Educational Excellence, Universidad de Extremadura and la Caja Extremadura in 2008.
Mention for the best qualifications in the 2012/2013 promotion of Industrial Technical Engineering especialized in Electronics at Escuela de Ingenierías Industriales de Badajoz.
Best Poster Presentation Prize at 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016), for the work “Multi-Object Tracking with Data Association by a Similarity Identification Model”, by María José Gómez Silva, José María Armingol Moreno and Arturo de la Escalera Hueso. The 25th of November of 2016.
Best Student Paper Prize at 8th International Conference on Imaging for Crime Detection and Prevention (ICDP 2017), for the work “Multi-Object Tracking Errors Minimisation by Visual Similarity and Human Joints Detection”, by María José Gómez Silva, José María Armingol Moreno and Arturo de la Escalera Hueso. The 15th of December of 2017.
Accesit at the Infaimon Prize for Best Computer Vision Work among those presented in the Jornadas de Automática 2018, for the work “Re-identificación de personas mediante la distancia de Mahalanobis”, by María José Gómez Silva, José María Armingol Moreno and Arturo de la Escalera Hueso. The 7th of September of 2018..

Teaching

Practical classes and labs of Ingeniería de Control I.

Personal-Maria José GS

por | Jun 24, 2021