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Signal and Information Processing (SIP) Lab

About the SIP Lab


The Signal and Information Processing (SIP) Lab comprises faculty, post-doctoral researchers, Ph.D. and MSc students working in the broad area of signal/information processing and machine learning involving images, videos, and audio with applications to biometrics, security, forensics, and surveillance. Our research focus is on the following areas:

  • Image and video compression
  • Video analytics for surveillance and security
  • Face analysis
  • Emotion and behavior analysis

Research at the SIP Lab is funded by various agencies from the UK, the European Union, and North America:

  • European Commission - Marie Sklodowska-Curie Actions:
    • Career Integration Grant
    • Research and Innovation Staff Exchange (RISE)
  • Engineering and Physical Sciences Research Council (EPSRC), UK
  • Newton Fund International Collaboration Programme - Mexican Academy of Sciences
  • Warwick Ventures, UK
  • Ministry of Defence - Defence and Security Accelerator (DASA), UK
  • Ford Motor Company, USA
  • Research England through UUKi


Dr Victor Sanchez
Department of Computer Science, University of Warwick
Email: v.f.sanchez-silva at
Tel: +44 (0) 24 7657 3887


  • 28/03/2023 The SIP Lab has been awarded funds by Research England through UUKi to develop computer vision technology to index, retrieve, and search images by content without the need for training models.
  • 02/02/2023 The SIP Lab and the University of Glasgow have been awarded funds by the Defence and Security Accelerator (DASA) to develop technologies to detect and cluster tiny faces in videos
  • 01/02/2023 The SIP Lab is organizing the 11th International Workshop on Biometrics and ForensicsLink opens in a new window in Barcelona, Spain
  • 24/08/2022 Congratulations to Yifan Liu on her paper "Attention-aided partial bidirectional RNN-based nonlinear equalizer in coherent optical systems" accepted to Optics Express
  • 26/07/2022 Congratulations to Yuqi Ouyang on his paper "Look at Adjacent Frames: Video Anomaly Detection without Offline Training" accepted to the 2022 ECCV Workshop on Real-World Surveillance (RWS)
  • 20/06/2022 Congratulations to Yiming Ma and Jiashu Liao on their papers accepted to the 2022 IEEE International Conference on Image Processing (ICIP)