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Signal and Information Processing (SIP) Lab

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:

  • Video analytics for surveillance and security
  • Face analysis
  • Emotion and behavior analysis
  • Learning-based Visual Data Compression
  • DeepFake images for biometrics
  • DeepFake detection

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

Contact

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

News

  • 06/08/2024 Congratulations to Boyang Fu on her paper "Pedestrian Trajectory Prediction based on Improved Diffusion with Fourier Embeddings," to be presented at the 2024 International Conference on Pattern Recognition (ICPR), Kolkata, India, December 2024
  • 06/06/2024 Congratulations to Bhushan Atote on his paper "Enhanced Prototypical Part Network (EPPNET) for Explainable Image Classification via Prototypes," to be presented at the IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, October 2024
  • 21/12/2023 The paper "Overfitted Neural Networks for Block-based Intra-prediction" has been accepted to the 2024 Data Compression Conference (DCC)
  • 13/12/2023 Congratulations to Haoyi Wang on his paper "Cross-Age Contrastive Learning for Age-Invariant Face Recognition" accepted to the 2024 Int. Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 15/08/2023 The SIP Lab has been awarded funds by funds by the Defence and Security Accelerator (DASA) to develop technologies to detect anomalies in videos using online learning
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