News

2020-12-15

Position of Assistant/Associate Professor available at CVPRL

Assistant/Associate Professor (tenure track) in Computer Vision and Machine Learning

Join LUT University and make future! Our campus locates in Lappeenranta, Finland on the beautiful shore of Lake Saimaa surrounded by green nature.

LUT Computer Vision and Pattern Recognition Laboratory (CVPRL) develops state-of-the-art methods, e.g., for medical image processing, industrial machine vision, and conservation of nature. Now we are looking for a new member to make a difference in scientific research and society.

Apply before January 18, 2021!

Further information and application submission: job description


2020-07-01

New Associate Professor at CVPRL

Dr. Tuomas Eerola nominated to an Associate Professorship

Dr. Tuomas Eerola has been nominated as an Associate Professor of Computer Science and Engineering since July 1, 2020 for the period of four years. Dr. Eerola has been working actively for many years in Computer Vision and Pattern Recognition Laboratory (CVPRL). He has been involved with several research projects, serving as a project manager and a supervisor of many doctoral theses and master theses. Moreover, Dr. Eerola has been building an international co-operation with University of Texas at Austin, including research visits to Prof. Alan Boviks's LIVE Laboratory.

See more information at Associate Professor Eerola's webpage.

CVPRL congratulates the new associate professor!


2020-04-01

Academy of Finland project DeepTimber started

The DeepTimber project uses the next generation digitalisation to study the optimisation of sawing

The DeepTimber project "Sawing Optimization via Deep Learning and Multi-instrument Imaging" funded by Academy of Finland started as a coperation between LUT CVPRL and the LUT mathematicians.

Sustainability and profitability of sawmills depend on their ability to streamline sawing processes, optimize the quality of end product, and minimize waste products due to suboptimal sawing processes. Increased efficiency can be for instance achieved by digitalization; for which many technical solutions already exist, such as automatic sorting and grading. As part of this project we aim at the next stage of digitalization, by creating an internet of things for full log tracking from initial measurements to the final product. Which will be supported by the main focus of this project on optimizing the sawing processes. Novel imaging techniques from multi instrument measurements will enable the creating of a digital twin for each log, and a virtual sawing can be performed to determine optimal sawing patterns and angles controlling the locations of knots and other defects. This will make the sawmill process more resource-efficient and will promote sustainability of the forestry sector.

The two-year project was started in April 1, 2020. The principal investigator at LUT is Associate Professor Lassi Roininen from LUT Uncertainty Quantification and Inverse Problems Laboratory and the project manager is Adjunct Professor, Dr. Tuomas Eerola from LUT CVPRL. The project partners are University of Oulu from Finland and Royal Institute of Technology (KTH) from Sweden.


2020-02-17

M.Sc. Barazandeh joined the laboratory

Nastaran Vatankhah Barazandeh started in the FASTVISION project

M.Sc. Nastaran Vatankhah Barazandeh started as a doctoral student in the FASTVISION project. Prof. Heikki Kälviäinen, Prof. Lasse Lensu, and Dr. Tuomas Eerola serve as her supervisors.

Welcome!


2020-02-05

Mr. Bures visiting from Czech Republic

Jaroslav Bures from Brno University of Technology is doing his master's thesis in the FASTVISION project

B.Sc. Jaroslav Bures from Brno University of Technology (BUT) from Czech Republic is visiting CVPRL. Mr. Bures is an exchange student in the Erasmus program, and he is doing his master's thesis in the FASTVISION project. Prof. Heikki Kälviäinen, Prof. Lasse Lensu, and Dr. Tuomas Eerola serve as supervisors from LUT, and Prof. Pavel Zemcik from BUT. The visit is one of the actions which strengthens the successful computer vision co-operation between LUT and BUT.


2019-09-02

Academy of Finland project FASTVISION started

The FASTVISION project recognizes plankton types using deep learning

The FASTVISION project "Life in the fast lane: computer vision and machine learning to unveil biodiversity dynamics and ecosystem responses in the planktonic realm" funded by Academy of Finland started at LUT CVPRL.

Plankton community ecology and ecosystem research is currently greatly hampered by the bottleneck of acquiring species-level information from the communities due to the slow analysis process with traditional microscopy methods. The FASTVISION consortium will combine front-line plankton imaging instrumentation and taxonomic expertise of the Finnish Environment Institute (SYKE) and the computer vision and image analysis excellence of the LUT University (LUT CVPRL). The project will use digitized microscopy images of plankton provided by novel automated imaging instruments, to train image recognition software for species identification using efficient machine learning approaches that produce interoperable data across instruments and habitats. This big data of plankton community composition with an unprecedented high resolution will be applied to experimental and field tests of key hypotheses in plankton community ecology, biodiversity and ecosystem functioning.

The two-year project was started in September 1, 2019. The principal investigator at LUT is Prof. Heikki Kälviäinen and the project manager is Adjunct Professor, Dr. Tuomas Eerola. See the FASTVISION project page for more information.


2019-09-01

New heads of the laboratory and the department

Prof. Kälviäinen is the new head of CVRPL and Prof. Lensu the new head of the department

Prof. Heikki Kälviäinen has started from September 1, 2019 as the new head of Computer Vision and Pattern Recogntion Laboratory (CVPRL).

The previous head Prof. Lasse Lensu has started from September 1, 2019 as Head of Department of Computational and Process Engineering (CAPE). CVPRL thanks Prof. Lensu for all those great years he has been serving as the head of CVPRL.


2019-05-13

Aidin Hassanzadeh's defense May 20, 2019

Examination of M.Sc. (Tech.) Aidin Hassanzadeh's doctoral dissertation

M.Sc. (Tech.) Aidin Hassanzadeh will defend his thesis

Advanced Techniques for Unsupervised Classification of Remote Sensing Hyperspectral Images

Monday May 20, 2019 at 10 am at University of Texas, Austin, USA. The public examination will be streamed live to the conference room 2411 at Lappeenranta-Lahti University of Technology LUT, Lappeenranta, Finland on the same day as above, at 6 pm.

Professor Dietrich Paulus from University of Koblenz-Landau from Germany and Assistant Professor Philipp Krähenbühl from University of Texas at Austin from USA will serve as the opponents. Professor Heikki Kälviäinen from Computer Vision and Pattern Recognition Laboratory (CVPR) from LUT will act as the custos. The supervisors of the doctoral thesis are Associate Professor, Dr. Arto Kaarna from CVPR and Dr. Tuomo Kauranne from Uncertainty Quantification and Inverse Problems Laboratory from LUT.

Hassanzadeh's thesis is the 39th doctoral dissertation from CVPR.

The research has been carried out in the COMPHI project (funded by LUT Graduate School).

All interested ones are cordially welcome to follow the defense!


2019-05-08

Name changed: CVPR from MVPR

Computer Vision and Pattern Recogntion (CVPR) is the new name of the laboratory

The name of the laboratory has been changed to Computer Vision and Pattern Recognition (CVPR).

Now the name of the laboratory is the same as the name of the master's level major.

Previously CVPR was called as Machine Vision and Pattern Recogntion (MVPR).


2019-04-25

EU-CBC project CoExist started

The CoExist project helps the Saimaa and Ladoga ringed seals to survive

The new EU CBC project "Towards sustainable coexistence of seals and humans" aims to help the local ringed seals. MVPR is responsible for developing novel seal monitoring tools via computer vision. Lake Ladoga in Russia and Lake Saimaa in Finland are inhabited by endangered endemic ringed seal population. Nowadays, the major threats for both seals are related to human activities and exaggerated by growing effects of climate change. Interactions between nature conservation needs and local socio-economic interests are complex and controversial, and form various trade-offs, which are difficult to solve on local level. For instance, the conflict between seals and fisheries in both lakes have existed for decades.

The project includes collaboration with University of Eastern Finland (lead partner), Interregional charitable public organisation Biologists for nature conservation from Russia, and The Finnish Association for Nature Conservation, South Karelia division.

The three-year project was started at MVPR in April 1, 2019. The principal investigator is Prof. Heikki Kälviäinen and the project manager is Adjunct Professor, Dr. Tuomas Eerola.

See the CoExist project page for further information.