ProfessorKrystian Mikolajczyk

Overview
Prof Mikolajczyk's research activities are in computer vision and machine learning for 3D vision, recognition, retrieval and matching. His particular interests are in invariant feature extraction and visual signal representation which he applied to many computer vision tasks including image and video classification, object recognition and tracking, visual surveillance, large scale image retrieval, wide baseline matching, face recognition, 3D reconstruction, segmentation, etc.

MatchLab Research Group matchlab-imperial.github.io


PUBLICATION PROFILE in Google Scholar


RESEARCH HIGHLIGHTS
IPALM, Interactive Perception-Action-Learning for Modelling Objects

FACER2VM, Face Matching for Automatic Identity Retrieval, Recognition, Verification and Management

ViSen, Visual Sense

RESEARCH GRANTS
EPSRC Grants
2019-22 EPSRC, Interactive Perception-Action Loop for Modelling Objects
2016-20 EPSRC, Face Matching for Automatic Identity Retrieval, Recognition, Verification and Management
2013-16 EU Chist-ERA, EPSRC, Tagging Visual data with semantic descriptors
2008-2013 EPSRC UK Case, British Broadcasting Corporation (BBC), - development of a system for image retrieval in large databases
2012-14 EPSRC UK, Proof of Concept for Animal health monitoring
2008-10 EPSRC UK, Recognition of object classes and scenes
2008-10 BAE Systems, Biometric Security System
2008-10 EU project, IDASH, The Investigator Dashboard
2009-14 EPSRC UK, Visual Media Research Platform
2006-09: European project, Vidi-Video, Interactive Semantic Video Search
PEOPLE
RESEARCH ASSISTANTS
Dr Adrian Lopez Rodriguez
Dr Yurun Tian, Research Associate
Dr Fei Yan, Senior RA Machine Learning for Image Classification
Dr Mark Barnard, post-doc Sport Action Recognition
Dr Svetlana Barsky, post-doc Location identification in large forensic databases
Dr Muhammad Tahir, post-doc, Linear and non-linear classifiers
PHD STUDENTS 

Ranran Huang, 3D Reconstruction

Nigel Luo, Efficient Models

Ye Mao, 3D reasoning

Jonpeng Jing, Stereo Vision

Tony Ng, Camera Localisation 

Axel Barroso-Laguna, 3D vision
Michal Nazarczuk, Robotics Reasoning
Mikolaj Jankowski, Wireless Edge Computing
Roy Miles, Knowledge Distillation
Dylan Auty, Monocular depth estimation
Adrian Lopez Rodriguez, Domain adaptation
Sara Iodice, Person re-identification
Vassilis Balntas, Efficient image descriptors
Aarushi Gaur, Automatic assessment of visual aesthetics
Falk Schubert, Super-resolution and image enhancement based on priors and learning
Peter Koniusz, Modelling object categories using image segmentations
Muhamad Rana, Information fusion for image classification
Zdenek Kalal, PhD student: Online training and tracking of objects
Honping Cai, Optimal linear projections for dimensionality reduction of image descriptors
Hirofumi Uemura, Learning motion-appearance models of action categories
VISITING PHD STUDENTS

Maojun Zhang, Zhejiang University, Video generation
Edgar Riba, Universidad Autonoma de Barcelona, Image Descriptors
Jiaolong Xu, Universidad Autonoma de Barcelona, Spain, Pedestrian detection for driving assistance
Osman Akin, Hacettepe University, Turkey, Multiple objects tracking
Alvaro Gonzalez Arroyo, University of Alcala, Spain, Text recognition
David Geronimo, Universidad Autonoma de Barcelona, Spain Pedestrian detection for driving assistance
COLLABORATIONS
Academic Collaborations
Institut de Robotica i Informatica Industrial, Spain, Image analysis
Aalto University, Finland
ENPC ParisTech, France
Czech Technical University, Czech Republic
University of Sheffield, UK, Language and vision processing
Ecole Centrale de Lyon, France, Image descriptors
Kyushu Institute of Technology, Japan, visiting scholar, co-supervision of a PhD student in the domain of human action recognition
Universidad Autonoma de Barcelona, Spain, co-supervision of visiting PhD students in the domain of pedestrian detection and surveillance
Lappeenranta University of Technology, Finland,
Tampere University of Technology, Finland
University of Leon, Spain, visiting scholar
University of Amsterdam, Holland, Collaboration in international recognition competitions
University of Oxford, UK, image features and matching benchmarks
Technical University of Brno, Czech Republic, co-supervision of PhD, Master and B.Eng students in fast feature matching
Czech Technical University of Prague, Czech Republic, co-supervision of a PhD student in the domain of computer vision
Universidad de Alcala, Madrid, Spain, co-supervision of a PhD student in text detection
Industrial Collaborations
BBC, UK - Video recognition for multimedia archives.
Yazaki - tracking system.
NDA, USA - Tracking Learning Detection for Multimedia applications.
BAE Systems, UK - Trademark detection system.
Metropolitan Police of London, UK - Video analysis technology and commercial solutions.
SWARM Systems Ltd, UK - Object recognition system for UAVs.
Zoological Society of London, Cambridge Consultants Ltd., Seven Technologies Ltd - Surveillance cameras for animal conservation.
APHA, UK - Animal and Plant Health Agency.
Marwell ZOO, Phenotyping large exotic species.
Vistar Ltd. - Night vision system for marine use.
Complex Systems Innovations Ltd, UK dense image registration.
Evolution Robotics, USA - Evaluation of a target recognition system.
INVITED TALKS
Invited Talks
Everything Has Been Done, It Is Our Job to Do It One Better in Image Matching and Localisation, ICPRAM, 2022
Image features 20 years on, Camera Localization Workshop, CVPR, June 2020
Recent progress in local descriptors, Retrieval Workshop, CVPR, Long Beach, June 2019
Domain Adaptation and Few-Shot Learning, ACCV Workshop 2018
Is image to image matching solved? High Visual Computing 2018
International Symposium on Computer and Information Sciences, Krakow, Poland, 2016
Vision and Language Integration, EMNLP Workshop, Lisbon, Portugal, 2015
International Conference of Artificial Intelligence and Soft Comp., Poland, June 2015,
XXXV Jornadas de Automatica, Valencia, Spain, Sept 2014,
International Conference on Pattern Recognition, Tsukuba, Japan, Nov 2012,
InstantWILD, a revolution in field conservation, Zoological Society of London, UK, April 2014,
MOSES Computer Vision Workshop, Siegen, Germany, Oct 2011,
Seminars
Online learning and tracking, University of Exeter UK, Feb 2013;
Local features; Kyushu Institute of Technology, Kyushu, Japan, November 2012;
Tracking Learning Detection, Imperial College, UK, Nov 2012;
PN learning for tracking objects. INRIA Paris, France Nov 2010;
Online object recognition, BBC London, UK, Oct 2010;
Image classification and retrieval for video, BBC Kingswood, UK, Nov 2009;
Multi-action recognition and localization, University of Southampton, UK, July 2009;
Target recognition for UAV vehicles, EPFL, Switzerland, Feb 2009;
Super-resolution and high dynamic range imaging, Cranfield University, UK, Feb 2009;
Action recognition with a vocabulary forest, INRIA Rhone-Alpes, March 2008;
Statistical methods for learning image descriptor projections, Universidad Autonoma de Barcelona, Spain, Feb 2008;
Category representation for recognition and tracking; Imperial College, UK, May 2007;
Object and action class recognition; University of Lappeenranta, Finland, April 2007;
Linear discriminant projections of local descriptors for dimensionality reduction; Technical University of Prague, Czech Republic, April 2007
Learning of object class models; University of Amsterdam, Holland, Feb 2007;
Learning of decision trees for visual recognition; Kyushu Institute of Technology, Kyushu, Japan, August 2006
Image representation for recognition and tracking of objects; British Machine Vision Association Workshop, London UK, June 2006;
Image retrieval from large database; University of Oxford, May 2006;
Human detection by a probabilistic assembly of parts; ETH, Switzerland, Aug 2004.
Tutorials
BMVA Summer School 2h, Manchester, UK, July since 2010
iV&L Net Training School, Malta, 2016
Winter School on Surgical Imaging and Vision 2h, Imperial College, UK, Dec 2013
VISUM Summer School 5h, Porto, Portugal, July 2013.
Vision and Language Workshop in Sheffield, 2h, Nov 2012.
Modern features: advances, applications, and software 3h, European Conference on Computer Vision, Florence, Italy, Nov. 2012
AERFAISS Summer school 5h, Castallo de la Plana, Spain, June 2010
Computer Vision and Machine Learning 24h, Kuala-Lumpur, Malaysia, June 2009
Visual Object Recognition 3h, International Conference on Computer Vision, Rio de Janeiro, Brazil, Oct 2007
CONFERENCE/EDITORIAL SERVICES
General and Programme Chairing

British Machine Vision Conference (BMVC), London, September 2017.
Vision and Language workshop 2017
ECCV Workshop Local Features: State of the Art, Open Problems and Performance Evaluation, Amsterdam, NL, October 2016.
IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), Krakow Poland, September 2013
British Machine Vision Conference (BMVC), Guildford UK, September 2012.
Workshop on Vision and Language, at Computer Vision and Pattern Recognition, Boston, USA, June 2015.
Workshop on Feature Detectors and Descriptors: The State Of The Art and Beyond, at Computer Vision and Pattern Recognition, Miami, USA, June 2009.
Workshop on Object Recognition, British Machine Vision Association, London, UK, March 2006.
Workshop on Emerging Vision Applications, at World Multiconference on Systemics, Cybernetics and Informatics, ISAS-SCIs, Orlando, USA, July 2001.
Area Chair

International Conference on Computer Vision, Santiago, Chile, 2015.
Conference on Computer Vision and Pattern Recognition, Boston, USA, 2015.
International Conference on Computer Vision, Barcelona, Spain, 2011.
British Machine Vision Conference, since 2011.
Programme Committee Member

International Conference on Computer Vision,
European Conference on Computer Vision,
IEEE Conference on Computer Vision and Pattern Recognition,
British Machine Vision Conference,
International Conference on Pattern Recognition and other international conferences and workshops.
Journal Reviewer

Guest Associate Editor of International Journal of Computer Vision,
IEEE Transactions on Pattern Analysis and Machine Intelligence,
IEEE Transactions on Image Processing,
Journal of Machine Learning Research,
Image and Vision Computing,
Computers and Artificial Intelligence.
FUNDING ORGANISATION COMMITTEES
Leverhulme Trust, UK
EPSRC, UK
EU Chist-Era, EU
Academy of Finland
NWO Netherlands Organisation for Scientific Research
INRIA, France
PHD APPLICATION PROCESS
The studentships are for three years starting typically Sept/Oct or sooner if possible. It covers University tuition fees (at EU/UK level) and provides an annual tax free stipend. For exceptional overseas candidates there is the opportunity to obtain additional funding to cover the increased fees. To apply for a PhD under my supervision1. Read here

2. Create an account on College admission pages3. Choose Postgraduate Research at the top, find programme Electrical Engineering Research - Full Time 4. Start the applicationProposed Research Topic: Computer VisionProposed Research Group/Department/Centre: Electronic and Electrical Engineering/Intelligent Systems and Networks.Proposed Research Supervisor: Krystian MikolajczykSecond Choice Programme Title: Electrical Engineering Research - Full Time,Prepare your research statement in the area of Computer Vision and Machine LearningFill in the application and submit.Email K.Mikolajczyk@imperial.... once this is done.