Computer Information Technology

Dr Andrea Vedaldi

Department of Engineering Science E-mail abpnm8@r.postjobfree.com

University of Oxford WWW http://www.vlfeat.org/~vedaldi

Parks Road, Oxford, UK Tel. +44-186*-***-***

OX1 3PJ

Research Interests

Visual object detection, image classi cation, large scale machine learning and kernel methods.

Professional Experience

University of Oxford, University Lecturer in Engineering Science

Oxford, UK, since 9/12.

University of Oxford, Tutorial Fellow in New College

Oxford, UK, since 9/12.

University of Oxford, Junior Research Fellow

Oxford, UK, 8/08 8/12

A liated with the Visual Geometry Group of Andrew Zisserman

Education

University of California at Los Angeles, Doctor of Philosophy

Dept. of Computer Science

Los Angeles, California, 5/05 6/08

Thesis: Invariant representations and learning for computer vision

Committee: Alan Yuille, Song-Chun Zhu, Luiminita Vese, Serge Belongie, Stefano Soatto (chair)

University of California at Los Angeles, Master of Science

Dept. of Computer Sicence

Los Angeles, California, 7/03 5/05

G.P.A. 4/4

Advisor: Stefano Soatto

University of Padua, Laurea in Ingegneria Informatica (MSc equivalent)

Dept. of Information Engineering,

Padua, Italy, 9/98 4/03

Thesis: Modelli setocastici per il riconoscimento di sistemi di gesti complessi

Highest honors

Advisor: Ruggero Frezza

Funding

Xerox Foundation UAC Grant, 90,000 USD, 2012-14.

PASCAL Harvest Grant for VLFeat, 21,420 EUR, 2012-13.

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Awards and Fellowships

Outstanding Reviewer Award, IEEE Conference on Computer Vision and Pattern Recognition (CVPR),

2012.

Outstanding Reviewer Award, IEEE Conference on Computer Vision and Pattern Recognition (CVPR),

2011.

W. W. Spooner Junior Research Fellow, New College, Oxford, 2011.

Oxford Violette and Samuel Glasstone Research Fellowships in Science, 2010.

Winner of the ACM Multimedia Open Source Software Competition for VLFeat, with Brian Fulkerson,

at the ACM international conference on Multimedia, 2010.

Winner of the PASCAL Visual Object Classi cation Challenge for object detection, with V. Gulshan, M.

Varma, and A. Zisserman, at the International Conference on Computer Vision (ICCV), 2009.

Outstanding Doctor of Philosophy in Computer Science, The Henry Samueli School of Engineering and

Applied Science, University of California Los Angeles, 2008.

Outstanding Master of Science in Computer Science, The Henry Samueli School of Engineering and

Applied Science, University of California Los Angeles, 2005.

Professional Activities

Team leader. Johns Hopkins CLSP Summer Research Workshop Towards a Detailed Understanding of

Objects and Scenes in Natural Images, June 11 August 7 2012, in collaboration with Subhransu Maji,

Matthew Blaschko, Iasonas Kokkinos, Ben Taskar.

Tutorials. Additive Kernels and Explicit Embeddings for Large Scale Computer Vision Problems at

the European Conference on Computer Vision (ECCV), 2012.

Modern features: advances, applications, and software at the European Conference on Computer Vision

(ECCV), 2012.

VLFeat: An Open and Portable Library of Computer Vision Algorithms at the European Conference on

Computer Vision (ECCV), 2010.

VLFeat: An Open and Portable Library of Computer Vision Algorithms, with Brian Fulkerson, at the

IEEE international conference on Computer Vision and Pattern Recognition (CVPR), 2010.

Area Chair. International Conference on Computer Vision (ICCV), 2011, British Machine Vision

Conference (BMVC), 2012, Computer Vision and Pattern Recognition (CVPR) 2013.

Reviewer: international conferences. IEEE Conference on Computer Vision and Pattern Recognition

(CVPR) 2005 2012, European Conference on Computer Vision (ECCV) 2006, 2008, 2010, 2012,

International Conference on Computer Vision (ICCV) 2005, 2007, 2009, International Conference on Neural

Information Processing Systems (NIPS) 2007 12, International Conference on Robotics Science and

Systems 2012.

Reviewer: international journals. IEEE Transactions on Pattern Analysis and Machine Intelligence

(TPAMI), International Journal on Computer Vision (IJCV), IEEE Transactions on Image Processing

(TIP), Computer Vision and Image Understanding (CVIU), Neurocomputing.

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Reviewer: national conferences. Indian Conference on Computer Vision, Graphics & Image

Processing (ICCVGP).

Reviewer: funding schemes. Vienna Science and Technology Fund (WWTF) 2011, CHIST-ERA 2012.

Advising

PhD

Omkar Parkhi

University of Oxford (2011 present)

Co-supervised with Andrew Zisserman

Mircea Cimpoi

University of Oxford (2011 present)

Co-supervised with Andrew Zisserman

Marco Pedersoli

University of Barcelona (2011)

Co-supervised with Jordi Gon`lez

a

MSc and MEng

Mayank Juneja

MSc student, International Institute of Information Technology - Hyderabad (2009 present)

Co-supervised with C. V. Jawahar and Andrew Zisserman

Max Jaderberg

MEng, 4yp, University of Oxford (2011 present)

Co-supervised with Andrew Zisserman

John Cant

MEng, 4py, University of Oxford (2010 2011)

Co-supervised with Andrew Zisserman

Omkar Parkhi

MSc student, International Institute of Information Technology - Hyderabad (2008 2011)

Co-supervised with C. V. Jawahar and Andrew Zisserman

Vempati Sreekanth

MSc, International Institute of Information Technology - Hyderabad (2010)

Co-supervised with C. V. Jawahar and Andrew Zisserman

Other

Michal Spisiak

BMath, 3yp, University of Oxford (2011 12)

Teaching

College teaching. Collections: New College, Trinity 2012. Tutorials: New College, 1P2, Op. Amp.

Circuits, 2012.

Lectures. 4th year C4B Computer Vision course (two lectures), Oxford, 2010. Various lectures on

Computer Vision and Computer Graphics, UCLA, 2005 08.

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Example classes and labs. 4th year C19 Machine Learning example classes, Oxford, 2012 Computer

Vision example classes, Oxford, 2009 10. 3rd year Information Engineering Labs (III year B4) on

Computer Vision, Oxford, 2009 12. Teaching Assistant, Computer Graphics, UCLA, 2005.

Academic development

Attended the following seminars and courses: Introduction to Academic Policy and Practice,

Introduction to Teaching at Oxford, Student Support and Welfare / Academic Life at Oxford:

university and college roles and responsibilities, Research Student Supervision, The UK Research

Environment: funding and conduct of research, Admissions Interviewing course, Admissions

Interviewing Practice, Oxford, 2012.

Software Projects

Main author of the VLFeat library of computer vision algorithms (http://www.vlfeat.org/). The library

is a popular tool for fast prototyping in computer vision research.

Presentations

Semantic image analysis with structure and kernels, Max Planck Institute, Saarbr cken, Germany, 2011.

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E cient Structured Modeling for the Interpretation of Images, CIS Seminar, Johns Hopkins University,

Baltimore, US, 2011.

Multiple and fast kernels for the detection of visual object categories, invited talk at the Workshop on

Kernels and Distances for Computer Vision, in conjunction with the International Conference on Computer

Vision (ICCV), Barcelona, 2011.

E cient Structured Modeling for the Interpretation of Images, LCSR/ERC Seminar, Johns Hopkins

University, Baltimore, US, 2011.

E cient Additive Kernels via Explicit Feature Maps, CIS Seminar, Johns Hopkins University, Baltimore,

US, 2010.

E cient Additive Kernels via Explicit Feature Maps, seminar, University of Edinburgh, UK, 2010.

E cient Additive Kernels via Explicit Feature Maps, seminar, Heriot-Watt University, Edinburgh, UK,

2010.

A Tale of Two Object Detectors, CS seminar, University of California at San Diego (UCSD), San Diego,

US, 2010.

Multiple kernels for Object Classi cation and Detection, invited talk at the PASCAL VOC Challenge

Workshop, in conjunction with the International Conference on Computer Vision (ICCV), Kyoto, Japan,

2009.

Multiple kernels for Object Classi cation and Detection, invited talk at the Indian Institute of

Information Technology (IIIT), Hyderabad, 2009.

The design and implementation of the SIFT feature detector and descriptor, invited talk at the Indian

Institute of Information Technology (IIIT), Hyderabad, 2009.

Invariant Representation and Learning for Computer Vision, seminar, University of Oxford, UK, 2008.

Invariant Representation and Learning for Computer Vision, seminar, Ecole Centrale, Paris, 2008.

Viewpoint Invariant Features: Why it works, what to do when it does not, seminar, Univeristy of Padova,

Italy, 2007.

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Viewpoint Invariant Features: Why it works, what to do when it does not, seminar, Univeristy of San

Diego (UCSD), US, 2007.

Viewpoint Invariant Features: Why it works, what to do when it does not, seminar, Univeristy of

California at Berkeley, US, 2007.

Publications

Remark. The major computer vision publication avenues are ICCV, ECCV, CVPR, and NIPS (acceptance

rates: oral

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