British Machine Vision Conference
The British Machine Vision Conference (BMVC) is the British Machine Vision Association (BMVA) annual conference on machine vision, image processing, and pattern recognition. It is one of the major international conferences on computer vision and related areas, held in UK. Particularly, BMVC is ranked as A1 by Qualis, and B by ERA. The upcoming 30th BMVC will be hosted by Cardiff University in September 2019.
BMVC is a successor of the older British Alvey Vision Conference (AVC), which had run in years 1985 (University of Sussex), 1987 (University of Cambridge), 1988 (University of Manchester) and 1989 (University of Reading). The British Machine Vision Conference has replaced AVC in 1990, when BMVA was founded. Despite starting as a national conference, it is now a prestigious major international venue with high level of foreign participation (in 2013, 84% of accepted papers were completely from outside the UK and another 4% with mixed authorships) and high stress on quality of publications (in 2013, the acceptance rate was only 30%). BMVC is a mid-sized conference, with the number of accepted publications (and therefore number of talks and posters) around 200.
BMVC is a single-track conference held usually over the course of one week in early September. On Monday, there are usually one or several tutorials, followed by the main conference in the following three days. A typical conference day consists of a keynote talk, two or three oral sessions and a poster session. Thursday's programme tends to be shorter. The conference usually includes a banquet and a reception. The main conference is followed by a one-day student workshop on Friday, which provides an opportunity for doctoral students to present their work and interact with their peers.
At BMVC, there are several awards given. Besides the Best Scientific Paper Award (formerly known as Science Prize), there is Best Industrial Paper Award (formerly known as Industry Prize), Best Poster Award and others. The awards recipients are tabulated below. Additionally, other BMVA prizes such as BMVA Distinguished Fellowship or Sullivan Prize are awarded during BMVC.
|Year||Venue||Best Scientific Paper||Best Industrial Paper||Best Poster|
|1990||University of Oxford|
|1991||Glasgow University||Using projective invariants for constant time library indexing in model-based vision. C.A. Rothwell, A. Zisserman, D.A. Forsyth and J.L. Mundy.||Detecting intruders in image sequences. P.L. Rosin and T.J. Ellis.||Kalman filters in constrained model based tracking. R.F. Marslin, G.D. Sullivan and K.D. Baker.|
|1992||University of Leeds||Training Models of Shape from Sets of Examples. T.F. Cootes, C.J. Taylor, D.H. Cooper and J. Graham.|
|1993||University of Surrey||Automatic Machine Learning of Decision Rule for Classification Problems in Image Analysis. P. Pudil, J. Novovičová and J. Kittler.|
|1994||University of York||Shared: Skewed Symmetry Detection Through Local Skewed Symmetries. T.-J. Cham and R. Cipolla. and Image Registration Using Multi-Scale Texture Moments. J. Sato and R. Cipolla.||User Programmable Visual Inspection. J.J. Hunter, J. Graham and C.J. Taylor.|
|1995||University of Birmingham||Learning Spatiotemporal Models from Examples. A. Baumberg and D.C. Hogg.||Statistical Grey-Level Models for Object Location and Identification. T.F.Cootes, G.J.Page, C.B.Jackson, C.J.Taylor.|
|1996||University of Edinburgh||Monocular Reconstruction of 3D Bilateral Symmetrical Objects. T. Tan.|
|1997||University of Essex||Uncalibrated Reconstruction of Curved Surfaces. J. Sato and R. Cipolla.||Correspondence Using Distinct Points Based on Image Invariants. K.N.Walker, T.F.Cootes and C.J.Taylor.|
|1998||University of Southampton||The precision of 3D reconstruction from uncalibrated views. E. Grossmann and J.S. Victor.||Applying visual processing to GPS mapping of trackside structures. D. Nicholls and D. Murray.||3D shape modelling through a constrained estimation of a bicubic B-spline surface. X. Shen and M. Spann.|
|1999||University of Nottingham||Multi-view nonlinear active shape model using kernel PCA. S. Romdhani, S. Gong and A. Psarrou.||Learning Behaviour Models of Human Activities. A. Galata, N. Johnson and D. Hogg.|
|2000||University of Bristol||Robust Point Correspondence by Concave Minimization. J. Maciel and J. Costiera.||Detecting Lameness in Livestock Using Re-sampling Condensation and Multi-stream Cyclic Hidden Markov Models. D.R. Magee and R.D. Boyle.||A Statistical Consistency Check for the Space Carving Algorithm. A. Broadhurst and R. Cipolla.|
|2001||University of Manchester||Recognising trajectories of facial identities using kernel discriminant analysis. Y. Li, S. Gong, H. Liddell.||Application of the active shape model in a commercial medical device for bone densitometry. H.H. Thodberg and A. Rosholm.||Mathematical morphology in the HLS colour space. A. Hanbury and J. Serra.|
|2002||University of Cardiff||Robust Wide baseline Stereo from Maximally Stable Extremal Regions. J. Matas, M. Urban, O. Chum and T. Pajdla.||Tightly Integrated Sensor Fusion for Robust Visual Tracking. G. Klein and T. Drummond.||Invariant Features from Interest Point Groups. M. Brown and D. Lowe.|
|2003||University of East Anglia||Synchronising image sequences of non-rigid objects. P.A. Tresadern and I. Reid.||Video analysis for cartoon-like special effects. J.P. Collomosse, D. Rowntree and P.M. Hall.||The art of scalespace. J.A. Bangham, S.E. Gibson and R. Harvey.|
|2004||Kingston University||Multi-modal tracking using texture changes. C. Kemp and T.W. Drummond.||Shared: A Mid-Level Description of Video, with Application to Non-photorealistic Animation. J. Collomosse and P.M. Hall. and Minimal Training, Large Lexicon, Unconstrained Sign Language Recognition. T. Kadir, R. Bowden, E.J. Ong and A. Zisserman.||An Image-Based System for Urban Navigation. D. Robertson and R. Cipolla.|
|2005||Oxford Brookes University||Sub-linear Indexing for Large Scale Object Recognition. S. Obdrzalek and J. Matas.||A Single-Frame Visual Gyroscope. G. Klein and T. Drummond.||Offline Generation of High Quality Background Subtraction Data. E. Grossmann, A. Kale, C. Jaynes and S.S. Cheung.|
|2006||University of Edinburgh||Feature Detection and Tracking with Constrained Local Models. D. Cristinacce and T.F.Cootes.||"Hello! My name is... Buffy" - Automatic naming of characters in TV video. M. Everingham, J. Sivic and A. Zisserman.||Automatic video segmentation using spatiotemporal T-junctions. N. Apostoloff and A. Fitzgibbon.|
|2007||University of Warwick||Sparse MRF appearance models forfast anatomical structure localisation. R. Donner, G. Langs and H. Bischof.||(not awarded)||Towards Real-Time Traffic Sign Recognition by Class-Specific Discriminative Features. A. Ruta, Y. Li and X. Liu.|
|2008||University of Leeds||Globally Optimal O(n) Solution to the PnP Problem for General Camera Models. G. Schweighofer and A. Pinz.||Minimizing the Multi-view Stereo Reprojection Error for Triangular Surface Meshes. A. Delaunoy, E. Prados, P. Gargallo, J.-P. Pons and P. Sturm.||Geometric LDA: A Generative Model for Particular Object Discovery. J. Philbin, J. Sivic and A. Zisserman.|
|2009||University College London&Queen Mary University of London||Stochastic image denoising. F. Estrada, D. Fleet and A. Jepson.||HMM based archive film defect detection with spatial and temporal constraints. X. Wang and M. Mirmehdi.||Shared: Guiding visual surveillance by tracking human attention. B. Benfold and I. Reid. and Reconstruction from uncalibrated affine silhouettes. P. McIlroy and T. Drummond.|
|2010||Aberystwyth University||Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction. Ĺ. Ladický, P. Sturgess, C. Russell, S. Sengupta, Y. Bastanlar, W. Clocksin, P. Torr.||High Five: Recognising human interactions in TV shows. A. Patron, M. Marszalek, A. Zisserman, I. Reid.||Action Detection in Crowd. P. Siva and T. Xiang.|
|2011||University of Dundee||Object and action classification with latent variables. H. Bilen, V. Namboodiri and L. Van Gool.||Shared: Graph-based particle filter for human tracking with stylistic variations. J. Martínez del Rincón, J.-C. Nebel and D. Makris. and Hand detection using multiple proposals. by A. Mittal, A. Zisserman and P. Torr.|
|2012||University of Surrey||Detection and Tracking of Occluded People. S. Tang, M. Andriluka and B. Schiele.||Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach. D. Damen, P. Bunnun, A. Calway and W. Mayol-cuevas.|
|2013||University of Bristol||Metric Regression Forests for Human Pose Estimation. G. Pons-Moll, J. Taylor, J. Shotton, A. Hertzmann and A. Fitzgibbon.||Multi-view Body Part Recognition with Random Forests. V. Kazemi, M. Burenius, H. Azizpour and J. Sullivan.||Learning to approximate global shape priors for figure-ground segmentation. D. Kuettel and V. Ferrari.|
|2014||University of Nottingham||Return of the Devil in the Details: Delving Deep into Convolutional Nets. K. Chatfield, K. Simonyan, A. Vedaldi and A. Zisserman.||Simultaneous Mosaicing and Tracking with an Event Camera. H. Kim, A. Handa, R. Benosman, S.-H. Ieng and A. Davison.||Upper Body Pose Estimation with Temporal Sequential Forests. J. Charles, T. Pfister, D. Magee, D. Hogg and A. Zisserman.|
|2015||Swansea University||Sketch-a-Net that Beats Humans. Q. Yu, Y. Yang, Y. Song, T. Xiang and T. Hospedales||Deep Perceptual Mapping for Thermal to Visible Face Recognition. M. S. Sarfraz and R. Stiefelhagen||Robust Global Motion Compensation in Presence of Predominant Foreground. S. M. Safdarnejad, X. Liu and L. Udpa|
|2017||Imperial College London|
|2018||Northumbria University||Non-smooth M-estimator for Maximum Consensus Estimation. Le, Huu, Anders Eriksson, Michael Milford, Thanh Toan Do, Tat Jun Chin, and David Suter.||Automatic Semantic Content Removal by Learning to Neglect. Siyang Qin, Jiahui Wei, and Roberto Manduchi.|
|2019||Cardiff University||Tracking Holistic Object Representations. A. Sauer, E. Aljalbout and S. Haddadin||Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss. S. Sarfraz, C. M. Seibold, H. Khalid and R. Stiefelhagen|
- 1998 Demonstration Prize. Active object recognition in parametric eigenspace. M. Prantl.
- 2000 Demonstration Prize. A hierarchical model of dynamics for tracking people with a single video camera. I.A. Karaulova, P.M. Hall and A.D. Marshall.
- 2001 Demonstration Prize. Video image enhancement for terrestrial, aerial and underwater environments. J. Oakley
- 2001 Best Model Based Vision Paper. An Information Theoretic Approach to Statistical Shape Modelling. R.H. Davies, T.F. Cootes, C.J. Twining and C.J. Taylor.
- 2001 Presentation Prize. Robust Registration of 2D and 3D Point Sets. A. Fitzgibbon.
- 2002 Demonstration Prize. Real time robust template matching. F. Jurie and M. Dhome.
- 2002 Best Model Based Vision Paper. Real time gesture recognition using deterministic boosting. R. Lockton and A. Fitzgibbon.
- 2002 Work that most deserves help with exploitation. Orientation correlation. A.J. Fitch, A. Kadyrov, W.J. Christmas and J. Kittler.
- 2003 Demonstration Prize. Visual golf club tracking for enhanced swing analysis. N. Gehrig, V. Lepetit and P. Fua.
- 2003 Best Model Based Vision Paper. Modelling talking head behaviour. C.A. Hack and C.J. Taylor.
- 2004 Demonstration Prize. Interactions between hand and wearable camera in 2D and 3D environments. A. Davison.
- 2004 Best Model Based Vision Paper. A Bayesian Occlusion Model for Sequential Object Matching. T. Tamminen and J. Lampinen.
- 2007 Best Security Paper Prize. Gender Classification using Shape from Shading. J. Wu, W.A.P. Smith and E.R. Hancock.
- 2008 Best Security Paper Prize. Crowd Detection from Still Images. O. Arandjelovic.
- 2008 Highly Commended Reviewers. J.-M. Geusebroek, B. Leibe, A. Shahrokni, J. Sivic, J. Starck.
- 2010 Best Student Paper Prize. Motion Coherent Tracking with Multi-label MRF optimization. D. Tsai, M. Flagg and J. Rehg.
- 2010 Best Supplementary Material Prize. Manifold Learning for ToF-based Human Body Tracking and Activity Recognition. L. Schwarz, D. Mateus, V. Castaneda and N. Navab.
- 2011 Best Impact Paper Prize. Branch and rank: non-linear object detection. A. Lehmann, P. Gehler and L. Van Gool.
- 2011 Best Supplementary Material Prize. Skeletal graph based human pose estimation in real-time. M. Straka, S. Hauswiesner, M. Rüther and H. Bischof.
- 2011 Student Workshop Prize. Model Constraints for Non-Rigid Structure from Motion. L. Tao, B. Matuszewski and S. Mein.
- 2012 Best Impact Paper Prize. PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation. F. Besse, C. Rother, A. Fitzgibbon and J. Kautz.
- 2012 Mark Everingham Prize for Rigorous Evaluation. Tom-vs.-Pete Classifiers and Identity-Preserving Alignment for Face Verification. T. Berg and P. Belhumeu.
- 2012 Best Demonstration Prize. Online Feedback for Structure-from-Motion Image Acquisition. C. Hoppe, M. Klopschitz, M. Rumpler, A. Wendel, S. Kluckner, H. Bischof and G. Reitmayr.
- 2012 Best Video Prize. Automatic and Efficient Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts. Tomas Pfister, J. Charles, M. Everingham and A. Zisserman.
- 2013 Maria Petrou Prize for Invariance in Computer Vision. The Complete Rank Transform: A Tool for Accurate and Morphologically Invariant Matching of Structures. O. Demetz, D. Hafner and J. Weickert.
- 2014 Best Student Workshop Paper Prize. Gong Interactive Shadow Removal and Ground Truth for Variable Scene Categories. H. Gong and D. Cosker.
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