[visionlist] BMVC2015: CfP & revision of submission date


7-10 September 2015, Swansea, UK


twitter: @bmvc2015


ANNOUNCEMENT: submission date is revised to
Monday 4 May to allow sufficient gap between major computer vision conference deadlines.

The British Machine Vision Conference (BMVC) is one of the major international conferences on computer vision and related areas. It is organised by the British Machine Vision Association (BMVA).

The 26th BMVC will be held at Swansea University Singleton Campus, 7th-10th September 2015. The University Singleton Campus is set in a rolling parkland overlooking the majestic sweep of Swansea Bay, the start of the famously
dramatic Gower coastline comprised of twenty-one bays and coves.

BMVC2015 is a high quality single-track conference, comprising oral presentations and poster sessions (with oral acceptance <10% in the last 6 years). The conference features two keynote presentations and a conference tutorial,
and has five associated workshops on the last day of the conference, including a PhD student workshop.


Topics include, but are not limited to:

Statistics and machine learning for vision

Stereo, calibration, geometric modelling and processing

Face and gesture recognition

Early and biologically inspired vision

Motion, flow and tracking

Segmentation and grouping

Model-based vision

Image processing techniques and methods

Texture, shape and colour

Video analysis

Document processing and recognition

Vision for quality assurance, medical diagnosis, etc.

Vision for visualisation, interaction, and graphics

Visualisation for computer vision

Visual analytics for computer vision

Object detection and recognition


Video analysis and event recognition

Illumination and reflectance


BMVC 2015 features a half day conference tutorial on the 7th September. The tutorial is particularly beneficial to research students and early career researchers who are working in this field. We are honoured, with Chris Bishop,
to have such a prominent researcher in the field of pattern recognition and machine learning to deliver the tutorial.

Prof. Christopher Bishop

Chief Research Scientist, Microsoft.

Chris Bishop has a B.A. in Physics with First Class Honours from Oxford, and a PhD in Theoretical Physics from the University of Edinburgh with a thesis on quantum field theory supervised by David Wallace and Peter Higgs.
In 1998 he joined the Microsoft Research Laboratory in Cambridge where he became Deputy Managing Director, and later the Chief Research Scientist. He is a Partner in Microsoft, and is head of the Machine Learning and Perception group. In 2010 he was awarded
the accolade of Distinguished Scientist, representing the highest level of research distinction within Microsoft, and was the first person in Europe to hold this title. At the same time as he joined Microsoft Research, he was elected to a Chair of Computer
Science at the University of Edinburgh where he is a member of the Institute for Adaptive and Neural Computation in the School of Informatics. He is also a Fellow of Darwin College, Cambridge. He has been elected Fellow of the Royal Academy of Engineering,
and Fellow of the Royal Society of Edinburgh, and has been awarded two Honorary Doctor of Science degrees. His research interests include probabilistic approaches to machine learning, as well as their applications in industry, commerce, and healthcare.


BMVC invites two leading researchers in the field to present their work at the conference. We are grateful to the following speakers who have agreed to give keynote lectures at the conference.

Prof. Ron Kimmel

Technion – Israel Institute of Technology

Ron Kimmel is a Professor of Computer Science at the Technion where he holds the Montreal Chair in Sciences. He held a post-doctoral position at UC Berkeley and a visiting professorship at Stanford University. He has worked
in various areas of image and shape analysis in computer vision, image processing, and computer graphics. Kimmel’s interest in recent years has been non-rigid shape processing and analysis, medical imaging and computational biometry, numerical optimisation
of problems with a geometric flavour, and applications of metric geometry and differential geometry. Kimmel is an IEEE Fellow for his contributions to image processing and non-rigid shape analysis. He is an author of two books, an editor of one, and an author
of numerous articles. He is the founder of the Geometric Image Processing Lab. and a founder and advisor of several successful image processing and analysis companies.

Prof. Kristen Grauman

University of Texas at Austin

Kristen Grauman is an Associate Professor in the Department of Computer Science at the University of Texas at Austin.  Her research in computer vision and machine learning focuses on visual search and object recognition. 
Before joining UT-Austin in 2007, she received her Ph.D. in the EECS department at MIT, in the Computer Science and Artificial Intelligence Laboratory.  She is an Alfred P. Sloan Research Fellow and Microsoft Research New Faculty Fellow, a recipient of NSF
CAREER and ONR Young Investigator awards, the Regents' Outstanding Teaching Award from the University of Texas System in 2012, the PAMI Young Researcher Award in 2013, the 2013 Computers and Thought Award from the International Joint Conference on Artificial
Intelligence, and a Presidential Early Career Award for Scientists and Engineers (PECASE) in 2013.  She and her collaborators were recognised with the CVPR Best Student Paper Award in 2008 for their work on hashing algorithms for large-scale image retrieval,
and the Marr Best Paper Prize at ICCV in 2011 for their work on modelling relative visual attributes.


Authors are invited to submit full-length high-quality papers in image processing and machine vision. Papers covering theory and/or application areas of computer vision are invited for submission. Submitted papers will be
refereed on their originality, presentation, empirical results, and quality of evaluation. All papers will be reviewed *doubly blind*, normally by three members of our international programme committee. Please note that BMVC is a single track meeting with
oral and poster presentations. Paper submission instructions are available at the conference website:

Paper submission site is now open:


Submission deadline:
Monday 4 May

Author notification:
Friday 03 July

Early registration:
Friday 24 July

Late registration:
Friday 07 August

Conference tutorial:
Monday 07 September

Main conference:
Tuesday 08 – Thursday 10 September

Conference Workshops:
Thursday 20 September


Xianghua Xie, Swansea University, UK

Mark Jones, Swansea University, UK

Gary Tam, Swansea University, UK




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