About the SIP Lab
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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
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Contact
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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
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News
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- 01/08/2025 The paper "From Age Estimation to Age-Invariant Face Recognition: Generalized Age Feature Extraction Using Order-Enhanced Contrastive Learning," has been accepted for publication in the IEEE Transactions on Information Forensics and Security,
- 27/07/2025 Congratulations to H.ongyang Xie on his paper "TAPM-Net: Trajectory-Aware Perturbation Modeling for Infrared Small Target Detection," to be presented at the 2025 British Machine Vision Conference (BMVC)
- 15/07/2025 Congratulations to Hongyang He on his paper "Semi-ViM: Bidirectional State Space Model for Mitigating Label Imbalance in Semi-Supervised Learning” to be presented at the 2025 IEEE International Conference on Computer Vision (ICCV)
- 01/06/2025 Congratulations to Yixuan Yang on his paper "LLplace: Embodied 3D Indoor Layout Synthesis Framework with Large Language Model," to be presented at the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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