Queen Mary, University of London
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Dr Samuel Pachoud, PhD

Vision Group, Computer Science
Mile End Road
London E1 4NS

Tel: +44 020 7882 8018
Fax: +44 020 8980 6533
Email: my email address



Introduction

Samuel is currently an advisory consutlant at Ernst & Young in the performance improvement division. He previously did a PhD in Queen Mary, University of London under the supervision of Prof. Shaogang Gong and Prof. Andrea Cavallaro.


Research Topic

His research interest focused on interdisciplinarity between Electronic Engineering and Computer Science. His thesis addresses the problem of extraction and combination of audio and visual information for increased robustness and accuracy in recognition, especially in noisy environments. It focuses on three problems of an audio-visual speech and emotion recognition system: feature representation, feature selection and feature fusion.


Short Bio

Samuel was born in Estavayer-le-Lac, Switzerland on April 26, 1982. He always lived in Payerne, Switzerland until he came in London in September 2006. Samuel received the MSc degree in Electrical and Electronic Engineering from the Swiss Federal Institute of Technology, Lausanne, Switzerland in April 2006. In 2005, He visited for 6 months the Multimedia and Vision group at the Queen Mary University of London, working as a guest research student in the area of clustering and behaviours analysis. The purpose was to summarise the dynamics behaviour of multiple objects by clustering object trajectories.
From September 2006 to July 2010, he was a PhD research student at the Computer Science department of the Queen Mary, University of London, United Kingdom.


Research Interests

Samuel's main research interests were clustering method, speech processing and recognition, lip-reading, audio-visual perception, face modelling and surveillance + security applications.


Publications

Journal papers

Audio-Visual Fusion using Kernel Canonical Correlation Analysis for Noisy Speech Recognition
S. Pachoud, S. Gong, A. Cavallaro
IEEE Transactions on Multimedia, under submission

Category-sensitive audio-visual feature selection for emotion recognition
S. Pachoud, A. Cavallaro, S. Gong
IEEE Transactions on Multimedia, under submission

Conference papers

Space-time audio-visual speech recognition with multiple multi-class probabilistic Support Vector Machines [pdf]
S. Pachoud, S. Gong, A. Cavallaro
International Conference on Auditory-Visual Speech Processing (AVSP), Norwich (UK), September 10-13, 2009

Grouping motion trajectories [pdf]
S. Pachoud, E. Maggio, A. Cavallaro
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, Taiwan, April 19-24, 2009

Video augmentation for improving audio speech recognition under noise [pdf]
S. Pachoud, S. Gong, A. Cavallaro
British Machine Vision Conference (BMVC), Leeds (UK), September 1-4, 2008

Macro-cuboids based probabilistic matching for lip-reading digits [pdf]
S. Pachoud, S. Gong, A. Cavallaro
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska (USA), June 24-26, 2008

Miscellaneous

Automatic macro-block based feature selection for lip-reading [pdf]
S. Pachoud, S. Gong, A. Cavallaro
BMVA Inaugural Student Papers Meeting, London (UK), 28 March, 2007

Master thesis

S.Pachoud, "Clustering and evaluation of object trajectories" [pdf]
M.Sc. Thesis, Swiss Federal Institute of Switzerland, April 2006
Advisor: Prof. Dr. J-P Thiran and Dr. A. Cavallaro. Assistant: Dr. E. Maggio

Activities

  • Reviewer, Conferences
    • Twelfth IEEE International Conference on Computer Vision (ICCV), 2009
    • IAPR/IEEE International Conference on Biometrics (ICB), 2009
    • the 17th European Signal Processing Conference (EUSIPCO), 2009
    • IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2008
    • What, Why and How of Reproducible Research in Signal Processing, Study from P. Vandewalle, J. Kovacevic and M. Vetterli, IEEE Signal Processing Magazine, 2008
  • Organising Committee Member,
    • the 20th British Machine Vision Conference, London, UK, September 2009 link
    • the 1th Annual EECS Postgraduate Conference, Queen Mary, University of London, 2009. link
    • the IEEE Region 8 Student Branch and GOLD (Graduates Of the Last decade) Congress, London, UK, September 2008. link
    • the 7th Annual Postgraduate Conference in Computer Science, Queen Mary, University of London, 2008. link
    • the 31st International Audio Engineering Society (AES) Conference, Queen Mary, University of London, June 25-27, 2007
  • Member, British Machine Vision Association (BMVA), 2008-present.
  • Student Member, the Institution of Engineering and Technology (IET), 2008-present
  • Student Member, the Institute of Electrical and Electronic Engineers (IEEE), 2007-present.

Awards

Full Research Studentship, Queen Mary, University of London, 2006-2009
Overseas Research Students Awards Scheme (ORSAS) award, 2007-2009

Teaching Assistant

  • DCS100, Procedural Programming (Java), 2007-2008
  • DCS129, Probability and Matrices, 2007-2010
  • DCS144, Essential Object Oriented Programming (Java), 2007-2010
  • DCS225, Database Systems, 2009-2010
  • DCS302, Multimedia, 2008-2010
  • Maths support sessions, 2008-2010
  • PSP Tutoring in Computer Science, 2008-2010
  • ELE105, Introduction to Multimedia, 2007-2008
  • ELE161, Programming Fundamentals (C), 2007-2008
  • ELE201, Java Programming, 2007-2008

Computer Vision Group, Multimedia and Vision Group, Department of Electronic Engineering, Department of Computer Science, Queen Mary, University of London

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