Fabio Cuzzolin - Curriculum Vitae - CMS - Oxford Brookes University

CONTACT INFORMATION
Fabio Cuzzolin - Curriculum Vitae
Home address: Work address: Department of Computing and Communication Technologies,
14 Kimber close Oxford Brookes University
OX33 1SF Wheatley, Oxford, UK Wheatley campus, Wheatley, OXFORD OX33 1HX
Tel: +44 786 3642876 United Kingdom
Affiliation: Department of Computing, School of Technology, E-mail: fabio.cuzzolin@brookes.ac.uk
Oxford Brookes University http://cms.brookes.ac.uk/staff/FabioCuzzolin/
Tel: +44 (0)1865 484526
PERSONAL DATA
Place of birth: Jesolo (Venice), Italy
Citizenship: Italian
EDUCATION AND DEGREES
Laurea Degree magna cum laude in Computer Engineering (Ingegneria Informatica) March 1997
Università degli Studi di Padova, Padua, Italy
Ph.D in Industrial Electronics and Computer Science (Informatica ed Elettronica Industriali) February
19 2001
Università degli Studi di Padova, Dipartimento di Ingegneria dell’Informazione, Padua, Italy
SPOKEN LANGUAGES
Dr Cuzzolin speaks at different levels 8 different languages:
Italian: native speaker; English: fluent/bilingual; French: fluent; Portuguese: fluent; Japanese: good;
Spanish: fair; German: scholastic; Hebrew: beginner.
CAREER
Head of Artificial Intelligence Research Group starting September 2012
Department of Computing and Communication Technologies, Oxford Brookes University
Oxford, UK
Still an active member of the Computer Vision group, Dr Cuzzolin is now leading the Artificial Intelligence
research group within the Department of Computing. The group already includes six members of
staff, two post-docs, four Ph.D. students, and two visiting students. With the aim of expanding it to an
even more sizeable research group and reach a Professorial position in one-two years time, he is in the
process of submitting ten different grant proposals, including a FET and a STREP FP7 projects, two
EPSRC research grants, an EPSRC network, a Leverhulme proposal.
Reader since September 2011
Department of Computing and Communication Technologies, Oxford Brookes University
Oxford, UK
Senior Lecturer in Computer Vision July 2011 - September 2011
Department of Computing and Communication Technologies, Oxford Brookes University
Oxford, UK
Lecturer and Early Career Fellow September 2008 - July 2011
Department of Computing and Communication Technologies, Oxford Brookes University
Oxford, UK
Dr Cuzzolin was an integral part of the joint research group formed by the Oxford Brookes Vision Group
led by Professor Phil Torr, and Oxford University’s Visual Geometry Group led by Andrew Zisserman.

The group is known as one of world’s best and has won an incredible number of awards in the past:
http://cms.brookes.ac.uk/computing/groups.php?code=cvm.
Short-listed for a faculty position by Robert Gordon University, Aberdeen, UK June 2008
Ranked second in the 2007 Senior Researcher (Chargèe de Recherche de Premiere Classe, CR1) recruitment at INRIA
- IRISA Rennes May 2007
Marie Curie fellow September 2006 - September 2008
Perception group, INRIA - Institut National de Recherche en Informatique et en Automatique
Grenoble, France
INRIA is the French National Institute for Computer Science and Automation, a world class institution
whose research centers of Grenoble - Rhone Alpes and Nice - Sophia Antipolis have a very strong
international reputation in machine vision. Dr Cuzzolin worked in the Perception group led by Dr Horaud.
Offered a four-year fellowship by: Universitat Pompeu Fabra, Barcelona May 2006
Offered postdoctoral jobs by: the Georgia Institute of Technology; the University of California at San Diego;
the University of Houston June 2006
Post-doctoral researcher October 2004 - April 2006
Computer Science Department, University of California at Los Angeles
Los Angeles, CA, USA
UCLA is part of the University of California system, and is one of the top 25 US universities. The
Computer Science Department and the Math Sciences department enroll academics of the level of Judea
Pearl and Terrence Tao.
Dr Cuzzolin worked as a post-doc in the UCLA Vision Lab led by Professor Stefano Soatto.
Fixed-term Assistant Professor (Giovane ricercatore) January 2003 - December 2004
Dipartimento di Elettronica e Informazione, Politecnico di Milano
Milan, Italy
Politecnico di Milano is universally recognized as the top university in the country, and ranks in the
top 50 in the world for engineering. Dr Cuzzolin served as fixed-term Assistant Professor in the Image
and Sound Processing Group led by Professor Stefano Tubaro.
Post-doctoral researcher May 2001 - June 2003
Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Padova
Padua, Italy
The University of Padua ( Universitas Studii Paduani, founded 1222) is the seventh most ancient university
in the world. It is currently one of the top three in Italy. Dr Cuzzolin received his Ph.D. there, and
worked as a post-doc in the university’s Control Theory group.
Visiting Scholar June 2000 - December 2000
ESSRL - Electronic Systems and Signals Research Laboratory, Washington University in St Louis
St. Louis, MO, USA
The Washington University in St Louis is currently 12th in the US universities ranking. His medical
school is the best in the country. Dr Cuzzolin conducted research there as a Visiting Scholar in the
ESSRL laboratory for six months.
In addition, Dr Cuzzolin:
• had interviews for postdoctoral positions with Oxford University, Robotics group (October 2005); EPFL,
Ecole Polytechnique Federale de Lausanne - IDIAP Laboratory, Martigny, Switzerland (April 2006);
• had interviews for senior researcher positions with/offers from: Honeywell Labs - Minneapolis (June 2006);
Riya - Mountain View, CA (June 2006);

AWARDS
• Next 10 Award October 2012
Oxford Brookes University - Faculty of Technology, Design and Environment
Research accelerator programme, awarded to the three top emerging researchers in the Faculty
• Outstanding Reviewer Award September 2012
British Machine Vision Conference (BMVC 2012), University of Surrey, Guildford, UK
• Short-listed for the Best Paper Award at BMVC 2012, with the paper “Learning discriminative space-time
actions from weakly labelled videos” September 2012
• Best Poster Prize July 2012
“Learning discriminative space-time actions from weakly labelled videos”
INRIA Visual Recognition and Machine Learning Summer School, Grenoble, France (200 partecipants)
http://www.di.ens.fr/willow/events/cvml2012/
• Best Poster Award July 2011
“Geometric conditional belief functions in the belief space”
International Symposium on Imprecise Probabilities - Theories and Applications, Innsbruck, Austria
• Short-listed for the Best Paper Award at ECSQARU 2011, with the paper “On consistent approximations of
belief functions in the mass space” June 2011
• Best Paper Award December 2008
“Alternative formulations of the theory of evidence based on basic plausibility and commonality assignments”
Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam
• Marie Curie fellowship September 2006 - September 2008
MEMBERSHIPS OF SOCIETIES AND EDITORIAL BOARDS
• Associate Editor of the:
IEEE Transactions on Systems, Man, and Cybernetics - Part C since January 2011
• Guest Editor for: Information Fusion Journal
Special issue on “Information fusion applications to human health and safety” 2009-2012
• Member of the Board of Directors of the:
Belief Functions and Applications Society: www.ensieta.fr/bfas/ since 2010
• Member of the Society for Imprecise Probabilities and Their Applications (SIPTA): www.sipta.org
ORGANIZATION OF INTERNATIONAL CONFERENCES
Dr Cuzzolin will be the Chair and local organizer of the upcoming 3rd International Conference on the
Theory of Belief Functions (BELIEF 2014), to be held in Oxford, UK. Provisional dates: July 2014.
OTHER COLLABORATIONS WITH JOURNALS
Dr Cuzzolin regularly collaborates as a reviewer for the following international journals on Uncertainty Theory, Artificial
Intelligence, and Computer Vision:
• Artificial Intelligence
• IEEE Transactions on Systems, Man, and Cybernetics - part B;
• IEEE Transactions on Fuzzy Systems;
• IEEE Transactions on Pattern Analysis and Machine Intelligence;
• International Journal of Computer Vision;

• International Journal on Approximate Reasoning;
• Computer Vision and Image Understanding;
• Information Sciences;
• Journal of Risk and Reliability;
• International Journal on Uncertainty, Fuzziness, and Knowledge-Based Systems;
• Image and Vision Computing;
• Annals of Operations Research.
MEMBERSHIPS IN PROGRAM COMMITTEES OF INTERNATIONAL CONFERENCES
Dr Cuzzolin has served in the Technical Program Committee of 31 international conferences, such as:
• Co-organizer of WPMSIIP 2011 - Fourth International Workshop on Principles and Methods of Statistical
Inference with Interval Probability
• IHMSC 2011, IHMSC 2012 - International Conference on Intelligent Human-Machine Systems and Cybernetics
• IUKM2011, IUKM2013 - International Symposium on Integrated Uncertainty in Knowledge Modeling and
Decision Making
• ISIPTA 2009, ISIPTA 2011, ISIPTA 2013 - International Symposium on Imprecise Probabilities and Their
Applications
• ECSQARU 2009, ECSQARU 2011, ECSQARU 2013 - European Conference on Symbolic and Quantitative
Approaches to Reasoning with Uncertainty
• BELIEF 2010, BELIEF 2012 - The International Conference on the Theory of Belief Functions
• IUM2010 - International Symposium on Integrated Uncertainty Management and Applications
• FLAIRS 2008-2013 - Uncertain Reasoning track of the 21st, 22nd, 23rd, 24th, 25th and 26th International
Florida Artificial Intelligence Research Society Conferences
• ISAIM 2008 - 10th International Symposium on Artificial Intelligence and Mathematics (session chair)
• IMMERSCOM 2007 - 2nd International Conference on Immersive Telecommunications
• VISAPP 2006-2013 - International Conference on Computer Vision Theory and Applications
He also serves as a reviewer for top vision conferences such as:
• BMVC’10, BMVC’11, BMVC’12 - the British Machine Vision Conference
• ECCV’10 - the European Conference on Computer Vision
• ICCV’11 - the International Conference on Computer Vision
SCIENTIFIC PROFILE
Education and Career
Dr Fabio Cuzzolin has a broad international experience, as he worked as a researcher in six world-class institutions
of four different countries on both sides of the Atlantic.
He graduated in 1997 from the University of Padua (Universitas Studii Paduani, founded 1222, is the seventh
most ancient university in the world) with a laurea magna cum laude in Computer Engineering. He was awarded a
Ph.D. by the same institution in 2001 for a thesis entitled “Visions of a generalized probability theory”.
During his doctoral term he was Visiting Scholar in the ESSRL laboratory of the Washington University in St. Louis
(12th in the US universities ranking, 2009).
He was later appointed fixed-term Assistant Professor by Politecnico di Milano, Milan, Italy, consistently recognized
as Italy’s top university.
He later moved as a Postdoctoral Fellow to the UCLA Vision Lab, University of California at Los Angeles (24th
in the US ranking). In 2006 he was offered a four-year appointment by Universitat Pompeu Fabra, Barcelona, and
postdoctoral positions by UCSD, GeorgiaTech, U. Houston.

In the same year he was awarded a Marie Curie Fellowship in partnership with INRIA Rhone-Alpes, Grenoble,
France.
In 2007 he classified second in the 2007 Senior Researcher (CR1) national recruitment at INRIA, while in
2008 he was short-listed for a faculty position at Robert Gordon University.
From September 2008 to August 2011 he has been a Lecturer and Early Career Fellow in the Department of Computing,
School of Technology of Oxford Brookes University, Oxford, U.K. He has been offered a Senior Lectureship by the
same institution in July 2011. He is a Reader there since October 2011, and is taking up the post of Head of the
Machine Learning Group.
Dr Cuzzolin is also an integral part of the joint Oxford University - Oxford Brookes research group formed
by the Oxford Brookes Vision Group led by Professor Phil Torr, and Oxford University’s Visual Geometry Group led
by Professor Andrew Zisserman. The group is well known as one of world’s best and has won an incredible number of
awards in the recent past.
In addition, Dr Cuzzolin had interviews in the past with Oxford University, EPFL, Universitat Pompeu Fabra,
UCSD, GeorgiaTech, U. Houston, Honeywell Labs, Riya.
Research Interests
Dr Cuzzolin’s research interests are mainly in artificial intelligence and approximate reasoning (including
subjective probability, belief revision, knowledge representation, decision making), with a focus on imprecise (nonadditive)
probabilities, but span also fields such as computer vision and machine learning.
He is a recognized prominent expert in the field of belief functions, and a member of the Board of
Directors of the Belief Functions and Applications Society. He formulated a geometric approach to uncertainty
measures in which probabilities, possibilities and belief functions can all be represented as points of a Cartesian space
and there analyzed, and worked extensively on the mathematical foundations of belief calculus.
Within computer vision, his work focuses mainly on machine learning techniques for human motion analysis.
He has been proposing the use of tensorial models for identity recognition from gait, new techniques for learning
distances between dynamical models for action recognition, and explored spectral embedding techniques for unsupervised
3D segmentation and matching of articulated objects such as the human body.
In machine learning his work mainly concerns large scale manifold learning, in particular manifolds of linear dynamical
models, and the integration of compressed sensing with training set-based non-linear embeddings.
Publication Record
Dr Cuzzolin’s top papers have been all rated four star or 3*/4* by mock REF panels of both external and
internal reviewers.
He is author at the present time of 74 peer-reviewed publications, published or under review. He is first or sole
author of 63 such publications. Of these, 40 have been published in the last five years alone. He is single author
of 2 book chapters, 19 journal papers (8 u/r), and 9 chapters in book series.
Five additional journal papers are in the process of being submitted by the end of 2012.
One of his papers won the best paper award at the PRICAI’08 symposium; another one was short-listed for
best paper at the last ECSQARU’11 conference. He was the recipient of a best poster award at the ISIPTA’11
symposium on Imprecise Probabilities, while he and his Ph.D. student Michael Sapienza received a poster prize
at the last INRIA 2012 Summer School on Machine Learning and Visual Recognition. Their joint work was also
short-listed for best paper at BMVC’12, where Dr Cuzzolin received the Outstanding Reviewer Award.
Dr Cuzzolin’s research monograph collecting his work on the geometry of uncertainty measures is under review
by Springer-Verlag.
Membership of Boards, TCPs
Dr Cuzzolin currently serves as an Associate Editor for the “IEEE Transactions on Systems, Man, and
Cybernetics - Part C”, and Guest Editor for “Information Fusion”.
He collaborates as a reviewer with several other journals in both computer vision and imprecise probabilities, such as:
Artificial Intelligence, the IEEE Transactions on Systems, Man, and Cybernetics - part B, the IEEE Transactions on
Fuzzy Systems, the International Journal on Approximate Reasoning, Computer Vision and Image Understanding,
Information Sciences, the Journal of Risk and Reliability; the International Journal on Uncertainty, Fuzziness, and
Knowledge-Based Systems, Image and Vision Computing, the Annals of Operations Research.
He has served in the Program Committee of some 30 international conferences, and serves as a reviewer in
top vision conferences such as BMVC, ECCV and ICCV.

Teaching and Supervision
Dr Cuzzolin has an extensive teaching experience at university level in three different countries, first as a T.A.
in Padua and Milan, later as a T.A. at UCLA, and eventually as the Module Leader for a number of honours courses at
Oxford Brookes University, UK. At Brookes he has supervised several Master’s students’ final year dissertations.
He regularly mentors a number of undergraduate students as their Academic Adviser.
He is now in the process of organizing an entire Master’s course in Computer Vision together with the head of
department Nigel Crook.
He is just hired one Ph.D. student (start date September 2011) in the context of Brookes’ Intelligent Transport
Systems doctoral training programme.
One postdoctoral researcher under his supervision will be hired in 2012 as a result of his recent successful EPSRC
application. One additional postdoc will be hired in case his current Leverhulme full proposal is funded.
In addition, Dr Cuzzolin is actively involved in the co-supervision of a number of PhD students within the
Oxford Brookes Vision Group led by Professor Philip Torr.
At INRIA he has been informally mentoring another Ph.D. student, Diana Mateus, who graduated in 2008 with an
excellent thesis on “Spectral Tools for Unsupervised Modelling of Articulated Objects from Multiple-view Videos”.
He has been external assessor for a Ph.D. thesis at Politecnico di Milano.
Network of academic contacts
Dr Cuzzolin enjoys personal contacts with eminent academics in several scientific communities, ranging from
computer vision (A. Zisserman (Oxford), P. Perona (Caltech), R. Cipolla (Cambridge)) and information theory and
decision (S. Mitter (MIT)), to imprecise probabilities and statistics (G. Shafer (Rutgers), A. Dempster (Harvard), T.
Seidenfeld (CMU)) and combinatorics (J. Oxley (Melbourne), J. Hirshfeld (Brighton)).
Grants and Awards
Dr Cuzzolin was awarded in 2011 a 122K pound EPSRC First Grant, for a project entitled “Tensorial modeling
of dynamical systems for gait and activity recognition”. The project, which involves hiring a postdoc in Year 2, has
received maximum marks by all four reviewers, and started in August 2011.
His recent internal proposal for a Ph.D. studentship in “Multi Sensor Fusion for Simultaneous Localization and
Mapping on Autonomous Vehicles” was also funded under the “Intelligent Transport Systems” School doctoral training
programme.
His 2011 Leverhulme Trust Project Grant application “The total probability theorem for finite random sets” reached
the last full proposal stage (acceptance rate around 50%-60%), but was eventually not funded.
At European level, in October 2010 he had applied for a 1.5 million euro ERC Starting Grant, with a proposal
entitled “Visions of a theory of Imprecise Probabilities”, which was judged above the thresholds but not funded.
In January 2011 Dr Cuzzolin submitted to FP7 Call 7 as the Coordinator and Principal Investigator a 2 million euro
STREP on “Action and gesture recognition by imprecise-probabilistic graphical models” with IDSIA (Switzerland),
Universiteit Gent (Belgium) and March Networks (Milan) as partners. This was later revised and submitted to Call 9
as a 3-million-euro STREP with the title “Dynamical Generative and Discriminative Models for Action and Activity
Localization and Recognition” and a different, stronger consortium. The proposal is still pending.
At European level he is also now finalizing, again as the Coordinator, a Short Proposal for a Future and Emerging
Technology (FET-Open) FP7 EU grant on “Large scale hybrid manifold learning” with INRIA (France), U.
Pompeu Fabra (Spain) and Technion (Israel) as partners.
At national level Dr Cuzzolin is currently setting up an EPSRC Network “NUTS: A Network on Uncertainty
Theories” on inference and decision making under uncertainty together with Prof. J. Lawry (U. Bristol), Prof. J-B.
Yang (Manchester Metropolitan), Prof. Frank Coolen (Durham), Prof. Jim Hall (Oxford University), Dr. W. Liu (U.
Belfast) and many others.
He is submitting at the same time two separate EPSRC Project Grant proposals, for a 300K pound project entitled
“The total probability theorem for belief functions” on the development of a fully fledged theory of uncertainty, and a
600K pound project on “Locating and recognizing complex activities via dynamic generative/discriminative modeling”
in collaboration with his Co-Investigator professor Philip Torr.
Finally, he is also submitting a Leverhulme Project Grant application on “Guessing plots for video googling” with
Oxford University’s professor Lukasiewicz as Co-Investigator.
PAST SCIENTIFIC ACTIVITY
Lecturer and Early Career Fellow, Oxford Brookes - Oxford University, Oxford, UK September 2008 - now
My reputation in the field of imprecise probabilities comes from the formulation of a geometric approach
to uncertainty measures in which probabilities, possibilities and random sets can all be represented as

points of a Cartesian space and there analyzed.
My work concerns, however, all mathematical properties of non-additive probabilities in terms of their
algebra and geometry, and the combinatorial foundations of the theory. My ambition is to fill the current
gaps in the theory of non-additive probabilities, in order to propose it to a wide audience of practitioners
as a viable alternative to standard probabilistic reasoning. I am particularly interested in the generalization
of the total probability theorem to random sets and belief functions. I have also contributed to the
problem of transforming belief functions into probability measures or possibilities for decision making and
efficient implementation of the belief calculus.
With Professor Torr and the Vision Group we are working on a machine learning project which concerns
the application of support vector machines to large scale classification problems, via randomized
projections.
Marie Curie fellow, INRIA Rhone-Alpes, Grenoble, France September 2006 - September 2008
PERCEPTION project
At INRIA Rhone-Alpes I collaborated with Radu Horaud and Edmond Boyer on two different projects.
On one side we developed a technique based on non-linear reduction (locally linear embedding) for robust
segmentation of human bodyparts through clustering in an embedding space, relying on the stability
of the emebedded manifold. On the other hand, we worked on a general framework for maximal subgraph
matching using spectral techniques, in which nodes of two graphs are associated by matching the
eigenfunctions of the related Laplacian matrices. The method can be applied to dense voxelset matching
of two widely separated poses of an articulated object, even under changes of topology.
Post-doctoral researcher, University of California at Los Angeles, California October 2004 - April 2006
UCLA Vision Lab
As a post-doc in the Vision Lab I worked on two distinct lines of research.
In vision we considered the problem of human identification from gait (humanID), focusing on the issue
of finding an effective view-invariant approach. Given a dataset of image sequences in which different
people walking normally are seen from several well-separated views, we learned bilinear models to classify
the identity of a known person from a view not included in the available training set.
In machine learning, we considered the problem of classifying motions encoded as dynamical models of a
certain class, by finding a suitable distance function in the space of such models. We studied a supervised
differential-geometric method for learning a Riemannian metric for a given class of dynamical models,
by selecting this distance among a family of pullback metrics induced by the Fisher information tensor
through a parameterized diffeomorphism.
Fixed-term Assistant Professor (Giovane ricercatore), Politecnico di Milano, January 2003 - December 2004
ISPG - Image and Sound Processing Group
In Milan I was in charge of the group’s activities in the VICOM (Virtual Immersive Communications)
project. We focused on the design of what are called in the literature “smart rooms”, developing a new
approach based on multi-camera systems for tracking people in indoor environments and interpreting their
motions or actions through adequate stochastic models. We investigated the use of volumetric representations
which can naturally solve critical problems such as viewpoint dependence, irrelevant variations of
the body’s trajectory, or occlusions due to the presence of other objects in the scene.
Ph.D. student, Università degli Studi di Padova March 1998 - March 2001
Autonomous Navigation and Computer Vision Laboratory - NAVLAB
Ph.D. Thesis: “Visions of a generalized probability theory”
Supervisor: Prof. Ruggero Frezza
As I mentioned above, my doctoral research was dedicated to the study of the theory of finite random sets
or theory of evidence. The theory was introduced in the late Seventies by Glenn Shafer as an alternative
mathematical description of uncertainty, starting from a series of seminal works by Arthur Dempster.
In this formalism uncertainty is represented by non-additive probability measures called belief functions,
which assign belief values to sets of possibilities rather than single events.
I developed a geometric approach to belief functions (and uncertainty measures in general, including
probabilities, possibilities, and fuzzy sets) in which measures are represented as points of a Cartesian
space. Different classes of uncertainty measures can be studied there, their distance measured to look
for probability or possibility approximations of belief functions. Starting from the intuition provided by
vision problems such as data association and object tracking I explored the links between probability,
geometry and combinatorics, along a path that led to new insights in both fields.

Post-doctoral researcher, Università degli Studi di Padova May 2001 - June 2003
During my postdoc in Padua I kept working on the completion and extension of the theory of belief
functions, in particular on the introduction of the analogous of probabilistic notions such as filtering,
total probability, random process. The greater complexity of belief functions when compared to classical
probability measures induces a richer structure that deserves to be analyzed. In particular I compared
the notion of independence in subjective probability with its definition in matroid and lattice theory, and
started tackling the total belief theorem as the natural generalization of the total probability theorem for
belief functions.
Visiting Researcher, Washington University in St. Louis, St. Louis, Missouri June- July 2000
ESSRL - Electronic Systems and Signals Research Laboratory
In collaboration with Stefano Soatto, at the time Assistant Professor at WashU, I focused on the unsupervised
action recognition problem, i.e. the automatic detection of a certain action category in an image
sequence (like for instance switching on a TV, entering a room, etc.) without any training phase driven
by human agents. In particular, we conducted a study of HMM clustering with respect to superposition
of different actions in the same scene.
Master thesis, Università degli Studi di Padova October 1996 - March 1997
Autonomous Navigation and Computer Vision Laboratory (NAVLAB)
Thesis: “Automatic Gesture Recognition”
Supervisor: Prof. Ruggero Frezza
The goal of the thesis was designing and implementing an automatic gesture recognition system. At the
time we were among the first people to adopt a finite state - continuous observation hidden Markov model
to encode the motion as a sequence of a small number of postures. An experiment was implemented in
which a small radio controlled vehicle was guided by means of a small number of gestures.
RESEARCH GRANT PROPOSALS as a Principal Investigator.
Electronic copies of my grant proposals can be found on my web page:
http://cms.brookes.ac.uk/staff/FabioCuzzolin/.
Awarded
Oxford Brookes University - Central university funding
Uncertainty in Computer Vision
Duration: 12 months. Budget: 3000 pounds.
Oxford Brookes University)
“Intelligent Transport Systems” doctoral training programme
Multi Sensor Fusion for Simultaneous Localization and Mapping on Autonomous Vehicles
Ph.D. Studentship. Supervisors: Dr Fabio Cuzzolin and Prof Philip Torr. Duration: 3 years.
Start date: September 2011.
Engineering and Physical Sciences Research Council (EPSRC)
First Grant Scheme
Tensorial modeling of dynamical systems for gait and activity recognition
Duration: 2 years. Budget: 122000 pounds. Rated 6/6, 6/6, 5/6, 6/6. Start date: July 24 2011.
Oxford Brookes University)
Faculty of Technology, Design and Environment
Next 10 Programme Award
Research accelerator programme, designed to help the top emerging researchers in the Faculty to
progress towards professorial status and a leadership position within their discipline. Involves a
Ph.D. Studentship. Start date: October 2012.

Pending
Magna International
Action recognition plus scene interpretation in a smart vehicle scenario
Responsible for the Machine Learning and Vision parts of a Faculty-wide negotiation.
Duration: 3 years. Budget: to be established
Status: submitted October 2012.
Engineering and Physical Sciences Research Council (EPSRC)
Collaborative project
Making action recognition work in the real world
Co-applicant: Professor Philip Torr.
Duration: 3 years. Budget: 600K pounds.
Status: submitted October 2012.
European Union
7th Framework Programme - Call 9
Dynamical Generative and Discriminative Models for Action and Activity Localization and
Recognition
Recent submissions
Duration: 3 years. Budget: 3 million euros. Submitted Call 9, April 17 2012.
Partners: Oxford Brookes U. (coordinator), Professor Gert de Cooman, Universiteit Gent (Belgium);
Dr A. Antonucci, IDSIA (Lugano, Switzerland); SUPELEC (Paris, France); Dynamixyz (Rennes,
France).
Leverhulme Trust
Research Projects Grants
The total probability theorem for belief functions
In preparation
Duration: 36 months. Budget: 121781 pounds.
Status: outline stage passed, full proposal invited, not funded at last stage.
Leverhulme Trust
Research Projects Grants
Guessing plots for video googling
Duration: 24 months. Budget: 200K pounds. Co-applicant: Professor Thomas Lukasiewicz (Oxford
University).
Status: outline proposal to be submitted October 2012.
Medical Research Council (MRC)
Methodology Research Programme
Monitoring mental conditions at home via Kinect
Duration: 3 years (in preparation). Budget: to be established.
Status: to submit January 29 2013.
Engineering and Physical Sciences Research Council (EPSRC)
Research Grant
The total probability theorem for belief functions
Duration: 3 years (in preparation). Budget: 300K pounds.
Status: Case for support ready, costing in progress. To submit Fall 2012.
European Union
7th Framework Programme - FET-Open (Future Emerging Technologies)
Large scale hybrid manifold learning
Duration: 3 years. Budget: 2 millions euros.
Partners: Oxford Brookes U. (coordinator); Dr R. Horaud (INRIA Rhone-Alpes, France); Dr A.
Frangi (Universitat Pompeu Fabra, Barcelona); Dr M. Bronstein (IDSIA, Switzerland).
Status: revising FET short proposal submission.

Engineering and Physical Sciences Research Council (EPSRC)
Collaborative project
NUTS: A Network on Uncertainty Theories
Duration: 3 years. Budget: 80K pounds. Provisional deadline: December 2012.
Partners: Professor Jonathan Lawry (U. Bristol); Professor Jian-Bo Yang (Manchester Metropolitan
University); Dr Weiru Liu (U. Belfast); Professor Frank Coolen (U. Durham); Professor Jim Hall
(Oxford University), Professor Thomas Lukasiewicz (Oxford University), Professor Anthony Hunter
(UCL).
Status: Drafting case for support.
RESEARCH GRANT PROPOSALS as a Partner.
In preparation
Engineering and Physical Sciences Research Council (EPSRC)
Collaborative project
EPSRC Network in Sparse Representations and Compressed Sensing
Coordinator: Mark Plumbley, Queen Mary University of London.
Duration: 3 years. Budget: to be decided. Provisional deadline: End 2012.
OTHER RESEARCH PROJECTS Dr Cuzzolin was involved in
Politecnico di Milano
FIRB - VICOM, Virtual Immersive Communications, Ministry of University and Scientific Research - 2003-5.
In Milan my post was funded by the national project VICOM, and one of my duties was to assist the head of
the group professor Tubaro in the organization of meetings and the redaction of deliverables.
INRIA Rhone-alpes
VISIONTRAIN, European project, network of excellence in computer vision.
As coordinators of the project we were in charge of organizing all periodic meetings and prepare final and
intermediate reports.
COORDINATION OF MASTER’S PROGRAMMES
Dr Cuzzolin has been nominated Subject Coordinator for the new Master’s course in Computer Vision
which will be launched in September 2013 by the Department of Computing, Oxford Brookes University.
TEACHING EXPERIENCE
Dr Cuzzolin has an extensive teaching experience at university level in three different countries, first as a teaching
assistant in Padua and Milan, later as a T.A. at UCLA, and eventually as the Module Leader for a number of honours
courses at Oxford Brookes.
Teaching assistant, “Controllo dei Processi” (autonomous navigation)
Held by Prof. Ruggero Frezza, Department of Information Engineering, University of Padova.
Academic years 1999-2000, 2001-2002.
Teaching assistant, “Identificazione dei Modelli e Analisi dei Dati” (parameter identification and statistics)
Held by Prof. Ruggero Frezza, Environmental engineering, University of Padova.
Academic years 1999-2000, 2000-2001.
C.I.S.A.S. Master - “Corso di Perfezionamento in Sistemi Spaziali” (advanced course on space systems),
Interdipartimental Center for Space Studies (CISAS), University of Padova.
June 24-28, 2002.
Teaching assistant, “Comunicazioni Elettriche” (electric communications)
Held by Prof. Stefano Tubaro, Politecnico di Milano.
Academic year 2002-2003.

Teaching assistant, “Computer Science 268: Machine Perception”
Held by Prof. Stefano Soatto, UCLA.
Fall 2005.
Module leader, “Machine Vision”
Honours course, Oxford Brookes University
Semester 2 2008-09. Semester 1 2009-12.
Module leader, “Advanced Artificial Intelligence”
Honours course, Oxford Brookes University
Semester 2 2009-12.
Lecturer and Module leader, “Image Technology”
Oxford Brookes University
Semesters 1-2 2008-12.
MEMBERSHIPS OF SCHOOL COMMITTEES AND PANELS
• Semestral combined computing fields examination committee (SEC), Oxford Brookes University;
• Interview panels for a Lectureship/Senior Lectureship in Media Technology, Oxford Brookes, 2009 and for two
postdoctoral positions in the computer vision group (2010, 2011);
• Oxford Brookes’ Academic Progression Initiative (API) meeting;
• Preliminary Research Excellence Framework (REF) meetings, Oxford Brookes University, 2010-11;
• Internal Assessor for the Ph.D. thesis ”High Order Inference for Vision Problems”, by Chris Russell, July 2011;
SUPERVISION OF MASTER’S AND PHD STUDENTS, POSTDOCS
Postdoctoral researchers
Wenjuan Gong
Ph.D. students
Postdoc - Oxford Brookes University, UK
Topic: “Tensorial modeling of dynamical systems for gait and activity recognition”
Funded by EPSRC First Grant. Starting November 5 2012
Micheal Sapienza
Ph.D. student - Oxford Brookes University, UK
Topic: “Intelligent Transport Systems” - Started October 2011
John Twycross
Ph.D. student - Oxford Brookes University, UK
Topic: “Actors style analysis and synthesis in movies” - To start Fall 2012
under recruitment
Visiting students
Ph.D. student - Oxford Brookes University, UK
Topic: “The total belief theorem”
Funded by Next 10 Award - To start Fall 2012
Rania Kallel
Visiting MSc student from IHEC Carthage, Tunisia
February - May 2013

Rocco de Rosa
Master’s students
Visiting Ph.D. student from University of Milan, Italy
September 2013 - March 2014
Laurent Simon
MsC. student - Oxford Brookes University, UK
Dissertation title: “Tensor modeling for gait recognition” - 2009
Thomas Coville
MsC. student - Oxford Brookes University, UK
Dissertation title: “UML Touch: Design and Implementation of a free-hand UML designer for
Tablet PC using sketch recognition in C#.” - 2010
Dan Williams
MsC. student - Oxford Brookes University, UK
Dissertation title: “Artificial intelligence algorithms for PACMAN programming” - 2010
Deepak Sharma
MsC. student - Oxford Brookes University, UK
Dissertation title: “SpyCam, Video Surveillance System” - 2010
Brad Lishman
INVITED TALKS
MsC. student - Oxford Brookes University, UK
Dissertation title: “Creation of a neural network based trading system for the foreign exchange
market” - 2012
• Coherent Laplacian 3D Protrusion Segmentation
British Machine Vision Association - Articulated Human Motion technical meeting, 23 October 2009
RECENT SEMINARS
• Sequences of belief functions and data association, 3 a Scuola CIRA di Dottorato, Bertinoro (FO), Italy, July 20
1999.
• Evidential reasoning framework for object tracking, LIDS - Laboratory of Information and Decision Systems,
MIT, Boston, MA, September 1999.
• Visioni di una teoria delle probabilità generalizzate (in Italian), Department of Information Engineering, University
of Padova, March 8 2001.
• Visioni di una teoria delle probabilità generalizzate (in Italian), Dipartimento di Informatica, Cà Foscari University
in Venice, September 26, 2001.
• Computer vision applications of generalized probabilities (in Italian), Departmental workshop, Department of
Information Engineering, University of Padova. Vicenza, June 11-12, 2002.
• Alcuni aspetti della teoria delle probabilità generalizzate (in Italian), Politecnico di Milano, September 16, 2002
• Machine learning and imprecise probabilities for computer vision, EPFL - Istituto Dalle Molle, Martigny, Switzerland,
April 2006
• Machine learning and imprecise probabilities for computer vision, Universitat Pompeu Fabra, Barcelona, Spain,
April 26 2006
• Machine learning methods and imprecise probabilities for computer vision, INRIA Rhone-Alpes, Grenoble,
France, May 4 2006
• Machine learning and imprecise probabilities for computer vision, Georgia Institute of Technology, Atlanta,
USA, June 22 2006

• Bilinear models and Riemannian metrics for motion classification, Microsoft Research Europe, Machine Learning
and Perception Group, Cambridge, UK, July 11 2006
• Machine learning, imprecise probabilities, and computer vision, SequeL team, INRIA Futurs, Lille, France,
February 6 2007
• Robust spectral 3D-bodypart segmentation along time, IRISA, Rennes, France, May 2 2007
• A geometric approach to uncertainty, Department of Mathematical Sciences, University of Durham, UK, November
25 2008
• Coherent Laplacian 3D protrusion segmentation, Department of Computing, Oxford Brookes University, UK,
January 21 2009
• Bilinear models for gait ID, Department of Computing, Oxford Brookes University, UK, January 24 2009
• A geometric approach to uncertainty, Department of Engineering Mathematics, University of Bristol, UK, March
12 2009
• Coherent Laplacian 3D protrusion segmentation, Queen Mary - University of London, UK, December 2009
• Learning pullback action manifolds, University of Surrey, Guildford, UK, April 28th 2010
• Learning pullback action manifolds, Heriot-Watt University, Edinburgh, UK, May 26th 2010
• Geometric conditional belief functions, Manchester Metropolitan University, UK, July 7th 2010
PUBLICATIONS
Dr Fabio Cuzzolin is author at the present time of 74 peer-reviewed publications, published or under review.
He is first or single author of 64 such publications. Of these, 40 have been published in the last five years
alone. He is single author of 2 book chapters, 19 journal papers (8 u/r), and 9 chapters in book series.
In addition, 5 more journal articles are in the process of being submitted in the next few months.
One of his papers won the best paper award at the PRICAI’08 symposium; another one was short-listed for
best paper at the last ECSQARU’11 conference. He was the recipient of a best poster award at the ISIPTA’11
symposium on Imprecise Probabilities, while he and his Ph.D. student Michael Sapienza received a poster prize
at the last INRIA 2012 Summer School on Machine Learning and Visual Recognition. Their first joint work was
short-listed for best paper at BMVC 2012.
Finally, Dr Cuzzolin’s research monograph collecting his work on the geometry of uncertainty measures in under
review with Springer-Verlag.
Dr Cuzzolin’s best papers have been all rated *4 star* by the latest mock REF panel.
All the publications listed below are accessible as PDF files at the following URL:
http://cms.brookes.ac.uk/staff/FabioCuzzolin/pubs.html
Figure 1: Total publications in the last 5 years.

Monographs
Under review
1. Fabio Cuzzolin, The geometry of uncertainty, submitted to Springer-Verlag, Berlin, 2012
Book Chapters
Published
2. Fabio Cuzzolin, Manifold learning for multi-dimensional auto-regressive dynamical models, in “Machine Learning
for Vision-based Motion Analysis”, Advances in Pattern Recognition, Part 1, pages 55-74, L. Wang, G. Zhao,
L. Cheng, M. Pietikäine (Eds.), Springer, 2011
3. Fabio Cuzzolin, Multilinear modeling for robust identity recognition from gait, in “Behavioral Biometrics for
Human Identification: Intelligent Applications”, pages 169-188, Liang Wang and Xin Geng (Eds.), IGI, 2010
Under review
4. Fabio Cuzzolin, An algebraic study of the notion of independence of frames, submitted to “Mathematics of
Uncertainty Modeling in the Analysis of Engineering and Science Problems” ,IGI Publishing, October 10 2012
Journal papers
Published
5. Fabio Cuzzolin, On the fiber bundle structure of the space of belief functions
accepted by the Annals of Combinatorics (I.F. 0.703), July 2012
6. Fabio Cuzzolin, On the relative belief transform
International Journal of Approximate Reasoning (I.F. 2.09), 53(5), pages 786-804, July 2012
7. Al Ozonoff, Fabio Cuzzolin and Paul Snow,
Guest editorial: Special issue on information fusion applications to human health and safety
Information Fusion (I.F. 1.40), 13(2), April 2012
8. Fabio Cuzzolin, Three alternative combinatorial formulations of the theory of evidence
Intelligent Data Analysis (I.F. 0.929), 14(4), pages 439-464, December 2010
9. Fabio Cuzzolin, Geometry of relative plausibility and relative belief of singletons
Annals of Mathematics and Artificial Intelligence (I.F. 0.893), 59(1), pages 47-79, May 2010
10. Fabio Cuzzolin, The geometry of consonant belief functions: simplicial complexes of necessity measures
Fuzzy Sets and Systems (I.F. 2.138), 161(10), pages 1459-1479, 16 May 2010
11. Fabio Cuzzolin, Credal semantics of Bayesian transformations in terms of probability intervals
IEEE Transaction on Systems, Man, and Cybernetics - part B (I.F. 3.08), 40(2), pages 421-432, April 2010
12. Fabio Cuzzolin, A geometric approach to the theory of evidence
IEEE Transactions on Systems, Man, and Cybernetics - part C (I.F. 2.01), 38(4), pages 522-534, 2008
13. Fabio Cuzzolin, Two new Bayesian approximations of belief functions based on convex geometry
IEEE Transactions on Systems, Man, and Cybernetics - part B (I.F. 3.08), 37(4), pages 993-1008, 2007
14. Fabio Cuzzolin, Algebraic structure of the families of compatible frames of discernment
Ann. Math. Artif. Intell. (I.F. 0.893) 45(1-2), pages 241-274, 2005
15. Fabio Cuzzolin, Geometry of Dempster’s rule of combination
IEEE Transactions on Systems, Man, and Cybernetics - part B (I.F. 3.08), 34(2), pages 961- 977, 2004
Under revision
16. Fabio Cuzzolin, Lp consonant approximations of belief functions
submitted to the the IEEE Transactions on Fuzzy Systems (I.F. 4.26), March 2011, revised December 2011,
second revision July 2012, third revision October 2012
17. Fabio Cuzzolin and Wenjuan Gong, A belief-theoretical approach to example-based pose estimation, submitted to
the IEEE Transactions on Fuzzy Systems (I.F. 4.26), July 2012; reviews received October 2012, major revision
under way, deadline December 3 2012

18. Fabio Cuzzolin, Learning pullback manifolds of generative dynamical models for action recognition, submitted
to the IEEE Transactions on Pattern Analysis and Machine Intelligence (I.F. 4.91), July 2012; reviews received
October 2012, major revision under way, deadline January 21 2013
19. Fabio Cuzzolin, Betting with probability intervals: the intersection probability
submitted to Artificial Intelligence (I.F. 2.38), February 2007, revised June 2009, to revise End 2012
20. Fabio Cuzzolin, Consistent transformations of belief functions
submitted to the International Journal of Approximate Reasoning (I.F. 2.09), December 2011, to revise End 2012
21. Thomas Burger and Fabio Cuzzolin, Two k-additive generalizations of the pignistic transform for imprecise
decision making, submitted to Fuzzy Sets and Systems (I.F. 2.138), October 2011, to revise End 2012
22. Fabio Cuzzolin, Geometric conditioning in belief calculus
submitted to Artificial Intelligence (I.F. 2.38), March 2011, to revise End 2012
Under review
23. Fabio Cuzzolin, Diana Mateus and Radu Horaud, Robust coherent Laplacian protrusion segmentation along 3D
sequences, submitted to the International Journal on Computer Vision (I.F. 3.741), July 2012
Currently in preparation
• Michael Sapienza, Fabio Cuzzolin and Philip Torr, Learning constellations of discriminative space-time actions
parts, invited to the BMVC 2012 Special Issue of the International Journal of Computer Vision (I.F. 3.741),
deadline January 31 2013
• Fabio Cuzzolin, Johan Schubert, Thierry Denoeux, Sebastien Destercke and Prakash P. Shenoy, Theory of belief
functions - A review - Part I, invited by the Editor in Chief of the International Journal of Approximate
Reasoning (I.F. 2.155), June 2013
• Fabio Cuzzolin, Johan Schubert, Thierry Denoeux, Sebastien Destercke, Anne-Laure Jousselme and Rajendra
Srivastava, Theory of belief functions - A review - Part II, invited by the Editor in Chief of the International
Journal of Approximate Reasoning (I.F. 2.155), to submit June 2013
• Fabio Cuzzolin and Thomas Burger, The geometry of the set of k-additive dominating belief functions, to submit
to Information Sciences (I.F. 3), End 2012
• Diana Mateus, Radu Horaud, Fabio Cuzzolin, David Knossow and Edmond Boyer, Spectral matching of dense
voxel-sets by orthogonal alignment in an embedding space, to submit to the IEEE Transactions on Pattern
Analysis and Machine Intelligence (I.F. 4.91), End 2012
• Wenjuan Gong and Fabio Cuzzolin, Tensor modeling of dynamical systems for robust identity recognition from
gait, to submit to the IEEE Transactions on Pattern Analysis and Machine Intelligence (I.F. 4.91), End 2012
• Fabio Cuzzolin, The total belief theorem: restricted case, to submit to the Journal of the Royal Statistical Society
- Part B (I.F. 3.47), End 2012
Chapters in book series (in reverse chronological order)
Published
24. Fabio Cuzzolin, Complexes of outer consonant approximations, in “Symbolic and Quantitative Approaches to
Reasoning with Uncertainty” (ECSQARU’09) 5 , Lecture Notes in Computer Science, Vol. 5590/2009, pages 275-
286, Springer Berlin / Heidelberg, 2009
25. Fabio Cuzzolin, The intersection probability and its properties, in “Symbolic and Quantitative Approaches to
Reasoning with Uncertainty” (ECSQARU’09) 5 , Lecture Notes in Computer Science, Vol. 5590/2009, pages 287-
298, Springer Berlin / Heidelberg, 2009
26. Fabio Cuzzolin, Alternative formulations of the theory of evidence based on basic plausibility and commonality
assignments 6 (long paper, best paper award recipient), in “PRICAI 2008: Trends in Artificial Intelligence”,
Lecture Notes in Computer Science, Vol. 5351/2008, pages 91-102, Springer Berlin / Heidelberg, 2009
27. Fabio Cuzzolin, Dual properties of the relative belief of singletons 6 (long paper), in “PRICAI 2008: Trends
in Artificial Intelligence”, Lecture Notes in Computer Science, Vol. 5351/2008, pages 78-90, Springer Berlin /
Heidelberg, 2009
28. Fabio Cuzzolin, On the credal structure of consistent probabilities, in “Logics in Artificial Intelligence”, Lecture
Notes in Computer Science, Volume 5293/2008, pages 126-139, Springer Berlin / Heidelberg, 2008.

29. Fabio Cuzzolin, A lattice-theoretic interpretation of independence on frames, in “Interval / Probabilistic Uncertainty
and Non-classical Logics”, Advances in Soft Computing, Vol. 46, Huynh, V.-N.; Nakamori, Y.; Ono, H.;
Lawry, J.; Kreinovich, V.; Nguyen, H.T. (Eds.), Springer-Verlag, Berlin - Heidelberg, 2008
30. Fabio Cuzzolin, Semantics of the relative belief of singletons, in “Interval / Probabilistic Uncertainty and Nonclassical
Logics”, Advances in Soft Computing, Vol. 46, Huynh, V.-N.; Nakamori, Y.; Ono, H.; Lawry, J.;
Kreinovich, V.; Nguyen, H.T. (Eds.), Springer-Verlag, Berlin - Heidelberg, 2008
31. Fabio Cuzzolin, Diana Mateus, Edmond Boyer, and Radu Horaud, Robust spectral 3D-bodypart segmentation
in time, in “Human Motion - Understanding, Modeling, Capture and Animation”, Lecture Notes in Computer
Science, Vol. 4814/2007, pages 196-211, Seidel, H.-P.; Wang, Y.; Rosenhahn, B.; Mori, G. (Eds.), Springer
Berlin / Heidelberg, 2007
32. Fabio Cuzzolin, On the orthogonal projection of a belief function, in “Symbolic and Quantitative Approaches
to Reasoning with Uncertainty” (ECSQARU’07) 5 , Lecture Notes in Computer Science, Vol. 4724/2007, pages
356-367, Springer Berlin / Heidelberg, 2007
Peer-reviewed 1234 conference proceedings (in reverse chronological order)
Published or Accepted
33. Michael Sapienza, Fabio Cuzzolin and Philip Torr, Learning discriminative space-time actions from weakly
labelled videos, Proceedings of the British Machine Vision Conference (BMVC’12), University of Sussex, UK,
September 2012 (oral, shortlisted for major prizes)
34. Fabio Cuzzolin, Consonant approximations in the belief space, Proceedings of the 2nd International Conference
on Belief Functions (BELIEF’12), Compiègne, France (oral)
35. Fabio Cuzzolin, Generalizations of the relative belief transform, Proceedings of the 2nd International Conference
on Belief Functions (BELIEF’12), Compiègne, France (oral)
36. Fabio Cuzzolin, Game-theoretical semantics of epistemic probability transformations, Proceedings of the 2nd
International Conference on Belief Functions (BELIEF’12), Compiègne, France (oral)
37. Fabio Cuzzolin, Lp consonant approximations of belief functions in the mass space, Proceedings of the International
Symposium on Imprecise Probabilities and Their Applications (ISIPTA’11), Innsbruck, June 2011
(shortlisted for best paper)
38. Fabio Cuzzolin, On consistent approximations of belief functions in the mass space, Proceedings of the International
Symposium on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU’11),
Belfast, June 2011
39. Alessandro Antonucci and Fabio Cuzzolin, Credal Sets Approximation by Lower Probabilities: Application to
Credal Networks, 13 th International Conference on Information Processing and Management of Uncertainty 2
(IPMU’10), June 2010
40. Fabio Cuzzolin, Geometric conditioning of belief functions, accepted by the First International Workshop on the
Theory of Belief Functions, Brest, April 2010
41. Thomas Burger and Fabio Cuzzolin, The barycenters of the k-additive dominating belief functions and the
pignistic k-additive belief functions, accepted by the First International Workshop on the Theory of Belief
Functions, Brest, April 2010
42. Fabio Cuzzolin, Consistent approximations of belief functions, Proceedings of the International Symposium on
Imprecise Probabilities and Their Applications 1 (ISIPTA’09), Durham, UK, July 14-18 2009;
43. Fabio Cuzzolin, Credal semantics of Bayesian approximations, Proceedings of the International Symposium on
Imprecise Probabilities and Their Applications 1 (ISIPTA’09), Durham, UK, July 14-18 2009;
1
The International Symposium on Imprecise Probabilities and Their Applications (ISIPTA) is the major conference venue
in the field of imprecise probabilities. Papers are normally reviewed by three reviewers. Acceptance rate is around 30-40%.
2
The International Conference on Information Processing and Management of Uncertainty is a major European venue in
Information Theory and Uncertainty.
3
The IEEE Conference on Decision and Control (CDC) is the major venue in the field of Control Theory.
4
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), the International Conference on
Computer Vision (ICCV), and the European Conference on Computer Vision (ECCV) are the three major conferences in
Computer Vision. Each paper is reviewed by three reviewers in double-blind format, and subject to the final decision of an area
chair. Around 2000 papers are submitted each time. Some 50 (2.5%) are accepted as orals, 250 (12.5%) as posters.
5
ECSQARU is a major European venue in the field of uncertainty and logics. Papers are refereed by two or three reviewers.
Acceptance rate is around 40%.
6
Accepted as Long Paper at PRICAI’08, acceptance rate 22%.

44. Fabio Cuzzolin, Learning pullback metrics for linear models, European Conference on Computer Vision 4 (ECCV’08),
First workshop on Machine Learning for Vision-based Motion Analysis, Marseille, France, October 2008
45. Diana Mateus, Radu Horaud, David Knossow, Fabio Cuzzolin, and Edmond Boyer, Articulated Shape Matching
Using Laplacian Eigenfunctions and Unsupervised Point Registration, Proceedings of the IEEE International
Conference on Computer Vision and Pattern Recognition 4 (CVPR’08), Anchorage, Alaska, June 2008;
46. Fabio Cuzzolin, Diana Mateus, David Knossow, Edmond Boyer, and Radu Horaud, Coherent Laplacian protrusion
segmentation, Proceedings of the IEEE International Conference on Computer Vision and Pattern
Recognition 4 (CVPR’08), Anchorage, Alaska, June 2008;
47. Fabio Cuzzolin, Boolean and matroidal independence in uncertainty theory, Proceedings of the 10th International
Symposium on Mathematics and Artificial Intelligence (ISAIM’08), Fort Lauderdale, Florida, January 2-4 2008
48. Fabio Cuzzolin, An interpretation of consistent belief functions in terms of simplicial complexes, Proceedings
of the 10th International Symposium on Mathematics and Artificial Intelligence (ISAIM’08), Fort Lauderdale,
Florida, January 2-4 2008
49. Diana Mateus, Fabio Cuzzolin, Edmond Boyer and Radu Horaud, Articulated Shape Matching by Robust Alignment
of Their Embedded Representations, International Conference on Computer Vision 4 (ICCV’07) - 3dRR
Workshop, Rio de Janeiro, Brasil, October 20 2007
50. Diana Mateus, Fabio Cuzzolin, Edmond Boyer, and Radu Horaud, Articulated Shape Matching Using Locally
Linear Embedding and Orthogonal Alignment, International Conference on Computer Vision 4 (ICCV’07) - NTRL
Workshop, Rio de Janeiro, October 14 2007
51. Fabio Cuzzolin, Using Bilinear Models for View-invariant Action and Identity Recognition, Proceedings of the
IEEE International Conference on Computer Vision and Pattern Recognition 4 (CVPR’06), pp. 1701-1708, New
York, June 18-22 2006
52. Fabio Cuzzolin, The geometry of relative plausibilities, 11 th International Conference on Information Processing
and Management of Uncertainty 2 (IPMU’06), special session on “Fuzzy measures and integrals, capacities and
games”, Paris, July 2006
53. Fabio Cuzzolin, On the properties of relative plausibilities, Proceedings of the International Conference of the
IEEE Systems, Man, and Cybernetics Society (SMC’05), vol.1, pp. 594-599, Hawaii, USA - October 10-12, 2005
54. Fabio Cuzzolin and Ruggero Frezza, Evidential modeling for pose estimation, Proceedings of the 4th International
Symposium on Imprecise Probabilities and Their Applications 1 (ISIPTA’05), Carnegie Mellon University,
Pittsburgh, 2005
55. Giambattista Gennari, Alessandro Chiuso, Fabio Cuzzolin and Ruggero Frezza Integration of shape constraints in
data association filters, IEEE Conference on Decision and Control 3 (CDC’04), vol.3, pp. 2668- 2673, Bahamas,
December 14-17, 2004
56. Fabio Cuzzolin, Augusto Sarti and Stefano Tubaro, Action modeling with volumetric data, Proceedings of the
2004 International Conference on Image Processing (ICIP’04), vol. 2, pp. 881- 884, Singapore, October 24-27,
2004
57. Fabio Cuzzolin, Augusto Sarti and Stefano Tubaro Invariant action classification with volumetric data, International
Workshop on Multimedia Signal Processing, pp. 395-398, Siena, Italy, 9/29-10/1 2004
58. Fabio Cuzzolin, Simplicial complexes of finite fuzzy sets, Proceedings of the International Conference on Information
Processing and Management of Uncertainty 2 (IPMU’04), pp. 1733-1740 Perugia, Italy, July 4-9,
2004
59. Fabio Cuzzolin, Geometry of upper probabilities, Proceedings of the 3 nd International Symposium on Imprecise
Probabilities and Their Applications 1 (ISIPTA’03), Lugano, Switzerland, July 14-17, 2003
60. Fabio Cuzzolin, Ruggero Frezza, Alessandro Bissacco and Stefano Soatto, Towards unsupervised detection of
actions in clutter, Proceedings of the 2002 Asilomar Conference on Signals, Systems, and Computers, vol.1, pp.
463-467, Asilomar Conference Center in Pacific Grove, CA
61. Giambattista Gennari, Alessandro Chiuso, Fabio Cuzzolin and Ruggero Frezza, Integrating shape and dynamic
probabilistic models for data association and tracking, Proceedings of the IEEE 2002 Conference on Decision
and Control 3 , The Venetian Hotel, Las Vegas, Nevada, December 10-13, 2002
62. Fabio Cuzzolin, Geometry of Dempster’s rule, Special Session on Knowledge Representation under Vagueness
and Uncertainty, 2002 International Conference on Fuzzy Systems and Knowledge Discovery (FSKD’02), Singapore,
November 18-22, 2002

63. Fabio Cuzzolin and Ruggero Frezza, Lattice structure of the families of compatible frames of discernment, Proceedings
of the 2 nd International Symposium on Imprecise Probabilities and Their Applications 1 (ISIPTA’01),
Ithaca, NY, June 26-29, 2001
64. Fabio Cuzzolin and Ruggero Frezza, Geometric analysis of belief space and conditional subspaces, Proceedings
of the 2 nd International Symposium on Imprecise Probabilities and Their Applications 1 (ISIPTA’01), Ithaca,
NY, June 26-29, 2001
65. Fabio Cuzzolin and Ruggero Frezza, Integrating feature spaces for object tracking, Proceedings of the International
Symposium on the Mathematical Theory of Networks and Systems (MTNS2000), Perpignan, France,
June 21-25, 2000
66. Fabio Cuzzolin and Ruggero Frezza, An evidential reasoning framework for object tracking, SPIE - Photonics
East 99 - Telemanipulator and Telepresence Technologies VI (Matthew R. Stein, ed.), vol. 3840, pp. 13-24,
September 19-22, 1999
67. Andrea Sorrentino, Fabio Cuzzolin and Ruggero Frezza, Using hidden Markov models and dynamic size functions
for gesture recognition, Proceedings of the 8th British Machine Vision Conference (BMVC97) (Adrian F. Clark,
ed.), vol. 2, pp. 560-570, September 1997
Under review
68. Fabio Cuzzolin, Learning pullback HMM distances for action recognition, submitted to Face and Gesture Recognition
(FG’13), Shanghai, China, September 2012
In preparation
• Michael Sapienza, Fabio Cuzzolin and Philip Torr, Part-based discriminative action models, to submit to
CVPR’13, Portland, Oregon, November 2012
• Fabio Cuzzolin and Michael Sapienza, Pullback distances for action recognition, to submit to ICCV’13, April
2013
• Michael Sapienza, Fabio Cuzzolin and Philip Torr, Learning constellations of discriminative action parts, to
submit to ICCV’13, April 2013
• Wenjuan Gong and Fabio Cuzzolin, Tensor modeling of dynamical models for gait identification, to submit to
ICCV’13, April 2013
• Rocco de Rosa, Alessandro Antonucci, Alessandro Giusti and Fabio Cuzzolin, Action Recognition by Similarity
Measures for Hidden Markov Models, to submit to ICCV’13, April 2013
• Fabio Cuzzolin and Thomas Burger, On the vertices of the set of k-additive dominating belief functions, to
submit to ISIPTA’13, Compiegne, France, February 2013
• Fabio Cuzzolin, Random set random forests, to submit to ISIPTA’13, Compiegne, France, February 2013
• Fabio Cuzzolin, An empirical comparison of belief-theoretical, RVM- and Gaussian process based approaches to
example-based pose estimation, to submit to ECSQARU’13, Utrecht, Netherlands, February 2013
Oral and poster conference presentations
Presented or accepted
69. Michael Sapienza, Fabio Cuzzolin and Philip Torr, Learning discriminative space-time actions from weakly
labelled videos (poster prize recipient), INRIA Machine Learning Summer School, Grenoble, July 2012
70. Fabio Cuzzolin, Geometric conditional belief functions in the belief space (best poster award recipient),
International Symposium on Imprecise Probabilities and Their Applications (ISIPTA’11), Innsbruck, June 2011
71. Fabio Cuzzolin, On the relationship between the notions of independence in matroids, lattices, and Boolean
algebras, 21 th British Combinatorial Conference (BCC’07), University of Reading, UK, July 8-13, 2007
72. Fabio Cuzzolin, Lattice modularity and linear independence, 18 th British Combinatorial Conference (BCC’01),
University of Sussex, Brighton, UK, July 1-6, 2001
73. Fabio Cuzzolin, Families of compatible frames of discernment as semimodular lattices, International Conference
of the Royal Statistical Society (RSS2000), Reading, UK, September 12-15, 2000
74. Fabio Cuzzolin and Ruggero Frezza, Combining qualitative and quantitative models for motion reconstruction
of articulated objects, Mathematical Theory of Networks and Systems (MTNS98), Padova, July 1998

Technical reports
• Fabio Cuzzolin, Alessandro Bissacco, Ruggero Frezza and Stefano Soatto, Towards unsupervised detection of
actions in clutter, Technical Report CSD-2000/33, Department of Computer Science, University of California
at Los Angeles, Los Angeles, December 2000
• Fabio Cuzzolin and Stefano Soatto, Using Bilinear Models for View-invariant Identity Recognition from Gait,
UCLA Technical Report CSD-TR050007, March 17, 2005
• Fabio Cuzzolin and Stefano Soatto, Using Bilinear Models for View-invariant Action and Identity Recognition,
UCLA Technical Report CSD-TR050053, December 17, 2005
• Fabio Cuzzolin and Stefano Soatto, Learning Riemannian Metrics for Classification of Dynamical Models, UCLA
Technical Report CSD-TR050054, December 17, 2005
Theses
• Fabio Cuzzolin, Riconoscimento automatico dei gesti, (“Automatic gesture recognition”, in Italian), Master’s
thesis, Università degli Studi di Padova, Italy, March 1997.
• Fabio Cuzzolin, Vision of a generalized probability theory, Ph.D. dissertation, Università degli Studi di Padova,
Italy, March 2001.
Figure 2: Evolution of Google citations and indices from Sept 2010 to Sept 2012.
GOOGLE SCHOLAR CITATION COUNT
Total count (31/10/2012): 573 (top 3% in Computer Science over 900,000 world experts according to arnetminer.org).
H-index (31/10/2012): 13 (top 1.5% in Computer Science).
i10-index (31/10/2012): 15; G-index (16/10/2012): 21.
Top papers by citation count:

1. Articulated Shape Matching Using Laplacian Eigenfunctions and Unsupervised ... (2008) 72
2. A geometric approach to the theory of evidence (2008) 70 (62 + 6 + 2)
3. Two new Bayesian approximations of belief functions based on convex geometry (2007) 46 ( 39 + 5 + 2)
4. Geometry of upper probabilities (2003) 27 (24 + 3)
5. Using bilinear models for view-invariant action and identity recognition (2006) 24 (23 + 1)
6. Geometric analysis of belief space and conditional subspaces (2001) 23
7. Geometry of Dempster’s rule of combination (2004) 21
8. Articulated Shape Matching Using Locally Linear Embedding and Orthogonal Alignment (2007) 18 (12 + 6)
9. Dual properties of relative belief of singletons (2008) 15
10. Semantics of the relative belief of singletons (2008) 15
11. Visions of a generalized probability theory (2001) 15
12. The geometry of consonant belief functions: Simplicial complexes of necessity measures (2010) 13 (9 + 4)
13. Rationale and properties of the intersection probability (u/r) 13 (8 + 5)
14. Coherent Laplacian 3-D protrusion segmentation (2008) 12
15. Geometric conditioning of belief functions (2010) 10
16. Three alternative combinatorial formulations of the theory of evidence (2010) 9 (6 + 3)
17. On the credal structure of consistent probabilities (2008) 9 (4 + 4 + 1)
18. Evidential reasoning framework for object tracking (1999) 8
19. Lp consistent approximations of belief functions / Metric consistent approximations ... (2011) 8 (7 + 1)
20. Using hidden Markov models and dynamic size functions for gesture recognition (1997) 8 (5 + 3)
21. Algebraic structure of the families of compatible frames of discernment (2005) 7
22. Simplicial complexes of finite fuzzy sets (2004) 7
23. Credal Sets Approximation by Lower Probabilities: Application to Credal Networks (2010) 7
24. Credal semantics of Bayesian approximations in terms of probability intervals (2010) 7 (5 + 2)
25. Geometry of relative plausibility and relative belief of singletons (2010) 7 (3 + 4)
26. Lp consonant approximations of belief functions in the mass space (2011) 6 (3 + 3)
PEOPLE I RECOMMENDED
• Thomas Burger
Maitre de Conference (Assistant Professor), Université de Bretagne Sud, Vannes, France
• Chris Russell
Post-doc, Queen Mary University of London, UK
• Massimo Nespolo
Post-doc, CERN - Centre European de Recherches Nuclaires, Geneva, Switzerland
• Giuseppe Busanello
Post-doc, Università La Sapienza, Rome, Italy
• Kiran Varanasi
Post-doc, Max Planck Institute, Saarbrucken, Germany
• Ramya Narasimha
Ph.D., INRIA Rhone-Alpes, Grenoble, France
• Davide Onofrio
Ph.D., Politecnico di Milano, Italy

• Massimiliano Pierobon
Ph.D. Student, Georgia Institute of Technology, Atlanta, USA
• Guillaume Arnaud
Ph.D. Student, Louisiana State University, Baton Rouge, USA
• Hermann Kahn
Ph.D. applicant, University College London, UK
LIST OF REFEREES
In reverse chronological order.
• Glenn Shafer
Full Professor, Department of Accounting and Information Systems
Rutgers Business School
180 University Avenue, Newark, New Jersey 07102, USA
Phone: +1 973 3531604, Fax +1 973 3531283
gshafer@andromeda.rutgers.edu
• Philip H. S. Torr
Professor
School of Technology, Oxford Brookes University
Phone: 01865 484592
philiptorr@brookes.ac.uk
• Jim Hall
Professor of Climate and Environmental Risks
Oxford University
Centre for the Environment, South Parks Road, Oxford OX1 3QY
Phone: +44 (0)1865 275846
jim.hall@eci.ox.ac.uk
• Frank Coolen
Professor
Department of Mathematical Sciences, Durham University
Science Laboratories, South Road Durham, DH1 3LE, United Kingdom
Phone: +44 (0)191 334 3048
Frank.Coolen@durham.ac.uk
• Stefano Soatto
Full professor
Computer Science Department, University of California at Los Angeles
Boelter Hall 3531d, Los Angeles (CA) 90095-1596
Phone: +1 310 8254840
soatto@cs.ucla.edu
• Jonathan Lawry
Head of Department
Department of Engineering Mathematics, Bristol University
Queen’s Building, University Walk, Bristol BS8 1TR, United Kingdom
Phone: +44 (0)117 331 5629
j.lawry@bristol.ac.uk
• Teddy Seidenfeld
Professor of Statistics, Department of Philosophy
Baker Hall 135J, Carnegie Mellon University, Pittsburgh (PA) 15213-3890, USA
Phone: +1 412 2682209
teddy@stat.cmu.edu
• Radu Horaud
Directeur de Recherche de premiere classe
INRIA Rhone-Alpes
655, avenue de l’Europe, 38334 SAINT ISMIER CEDEX, France
Phone: +33 476 61 52 26
Radu.Horaud@inrialpes.fr

• David Duce
Professor of Computer Science
Department of Computing, School of Technology, Oxford Brookes University
Wheatley campus, OX33 1HX, Oxford UK
daduce@brookes.ac.uk
• William F. Clocksin
Head of Department
School of Computer Science, University of Hertfordshire
College Lane, Hatfield AL10 9AB, UK
wfc@clocksin.com
• Alejandro Frangi
Departement de Tecnologia
Universitat Pompeu Fabra
Pg de Circunvalación 8, E0800 Barcelona, Spain
Phone: +34 93 542 1451
alejandro.frangi@upf.edu
• Stefano Tubaro
Full professor
Dipartimento di Elettronica e Informazione, Politecnico di Milano
Piazza Leonardo da Vinci 32, 20133 Milano, Italy
Phone: +39 02 23993647
tubaro@elet.polimi.it
• Paul Snow
Independent consultant in statistics and database
P.O. Box 6134 Concord, NH 03303-6134
Phone: + 1 603 753 1011
paulsnow@verizon.net
• Gert de Cooman
SYSTeMS Research Group
Universiteit Gent, Technologiepark - Zwijnaarde 914, 9052 Zwijnaarde Belgium
Phone: +32 (0)9 2645653
gert.decooman@ugent.be
Oxford, UK, November 2012
Fabio Cuzzolin