Teaser

The Scandinavian Conference on Image Analysis (SCIA) is a biennial conference on computer vision, image analysis, and pattern recognition. It has been held since 1980 in the scandinavian countries Sweden, Denmark, Norway and Finland. In 2019, SCIA will return to Linköping University, Sweden, where the first conference was held in 1980. However, this time it will be in the nearby city of Norrköping, which hosts the Norrköping Campus of Linköping University.

The conference will be co-located with the Swedish Symposium on Deep Learning (SSDL), which takes place on June 10-11. For more information on SSDL, please see the symposium webpage.

Proceedings of the conference will be published in the Springer Lecture Notes in Computer Science (LNCS) series.

Accomodation and travel: Book hotel at conference rates here. For information on traveling, please see the information under venue information.

SSBA LIU Springer LNCS IAPR

Gold sponsors:

Silver sponsors:

Program

Keynote speakers

Laura Leal-Taixe
  • Laura Leal-Taixé
  • Professor, Technical University of Munich

  • Prof. Laura Leal-Taixé is leading the Dynamic Vision and Learning group at the Technical University of Munich, Germany. She received her Bachelor and Master degrees in Telecommunications Engineering from the Technical University of Catalonia (UPC), Barcelona. She did her Master Thesis at Northeastern University, Boston, USA and received her PhD degree (Dr.-Ing.) from the Leibniz University Hannover, Germany.

    During her PhD she did a one-year visit at the Vision Lab at the University of Michigan, USA. She also spent two years as a postdoc at ETH Zurich, Switzerland and one year at the Technical University of Munich. In 2017, she won the Sofja Kovalevskaja Award of 1.65 million euros from the presitgious Humboldt Foundation for her project "socialMaps".


  • Dynamic Scene Understanding - With our without time?
  • If you ask any student nowadays what tools to use to solve an image recognition task, the most popular answer will be Deep Learning. But the real-world is not static but rather dynamic, and therefore better represented by videos than by still images. It is still an interesting open question how to deal with the temporal redundancy of video frames: shall a Neural Network exploit it or ignore it?

    In this talk, I will explore both strategies, i.e., to actually exploit the redundancy in the content of nearby frames, or to ignore it.

    In the first work on multiple object tracking, I show how to obtain temporally coherent results while not using temporal information during training. This also alleviates the need for full video annotations. From our recent work on video super resolution, I will present our new temporal discriminator which works in a Generative Adversarial Network training scheme in order to create temporally coherent image details.



Lourdes Agapito
  • Lourdes Agapito
  • Professor, University College London

  • Lourdes Agapito holds the position of Professor of 3D Vision in the Department of Computer Science at University College London (UCL). Her research in Computer Vision has focused on the inference of 3D information from the video acquired from a single moving camera. While early research focused on static scenes, attention soon turned to the much more challenging problem of estimating the 3D shape of non-rigid objects (Non-Rigid Structure from Motion, NR-SFM) or complex dynamic scenes where an unknown number of objects might be moving, possibly deforming, independently. Prof. Agapito's research group investigates all theoretical and practical aspects of NRSFM: deformable tracking; dense optical flow estimation and non-rigid video registration; 3D reconstruction of deformable and articulated structure and dense 3D modelling of non-rigid dynamic scenes.




Fred Hamprecht
  • Fred Hamprecht
  • Professor, Heidelberg University
  • Visiting Professor, Uppsala University

  • Fred Hamprecht holds the Robert-Bosch endowed professorship for Image Analysis and Learning at Heidelberg University. His research interests lie in image processing and machine learning. His main focus is on the development of algorithms to solve interesting problems from the life sciences. Major applications include the tracing of all neurites in a brain, the tracking of all cells in a developing embryo, and quantitative analysis of high-throughput experiments. The group puts particular emphasis on the user-friendly training of such systems, and is actively developing open source libraries and programs such as ilastik. Prof. Hamprecht studied and earned his PhD at the Swiss Federal Institute of Technology (ETH), and became a Professor for Multidimensional Image Processing at Heidelberg University in 2001. He is a co-founder of the Heidelberg Collaboratory for Image Processing (HCI).


  • Signed graph partitioning: an important computer vision primitive
  • Perennial computer vision problems such as image partitioning, instance segmentation or tracking can be reduced to combinatorial graph partitioning problems.

    The majority of models developed in this context have relied on purely attractive interactions between graph nodes. To obtain more than a single cluster, it is then necessary to pre-specify a desired number of clusters, or set thresholds.

    A notable exception to the above is multicut partitioning / correlation clustering, which accommodates repulsive in addition to attractive interactions, and which automatically determines an optimal number of clusters. Unfortunately, the multicut problem is NP-hard.

    In this talk, I will characterize the combinatorial problem and discuss its representations in terms of node or edge labelings. I will discuss greedy algorithms that find approximate solutions, or even exact ones under certain conditions. One algorithm I will discuss is the "mutex watershed" which currently gives the best results on a connectomics challenge.

    Joint work with Steffen Wolf, Constantin Pape, Nasim Rahaman, Alberto Bailoni, Ullrich Koethe, Anna Kreshuk.

Submission

The main topics of SCIA 2019 include:

  • 3D vision
  • Color and multispectral image analysis
  • Computational imaging and graphics
  • Faces and gestures
  • Feature extraction and segmentation
  • Biometrics
  • Document analysis
  • Matching, registration and alignment
  • Medical and biomedical image analysis
  • Motion analysis and tracking
  • Object and scene recognition
  • Machine learning and pattern recognition
  • Remote sensing image analysis
  • Robot vision
  • Video and multimedia analysis
  • IR image processing
  • Deep convolutional neural networks
  • Signal processing and applications

Call for papers

Call for papers can be downloaded here.


How to submit a paper to SCIA 2019

The papers can be submitted by following this link. Instructions for the submission will appear in the submission system.

Paper preparation

The maximum allowed length for a paper is 12 pages (single column), including references and appendices (if any). Paper submissions are anonymous, i.e. authors should not write their names and affiliations in the submitted paper.

Papers can be submitted in LaTeX or Word format:

Camera ready submission

Papers accepted for presentation must be resubmitted by April 3 in the submission system. The resubmission must consists of 3 different files:

  1. the source files (LaTeX or Word) of the revised version of the manuscript. If your manuscript is written in LaTeX, you must ensure to provide all the figures, bibliography and additional manuscript files necessary to compile the final PDF. All the files should be included into a single ZIP file;
  2. a separate file containing the answers to the reviewer comments, explaining how you addressed their critics and suggestions in the revised version of the manuscript;
  3. a signed version (in PDF) of Springer copyright, available for download at the link below.

Copyright submission

Authors whose paper has been accepted for presentation in SCIA 2019 must download and compile the Springer copyright form, necessary for the publication in the Springer proceedings. The copyright form must be compiled as follows:

The copyright form must be signed by the corresponding author of the paper and the three boxes in the end must be checked, only if one of the categories apply. Once the form is filled, it must be scanned and converted ina PDF file, which has to be sent along with the files required for the camera ready version of the manuscipt (see above), before April 3.

The copyright form can be downloaded here.

Presentation

For the oral paper presentation, authors are asked to prepare a set of slides for a talk of 15-17 minutes.

Original research and double submissions

The research papers must neither been published nor submitted for publication elsewhere. Preprints (such as ArXiv) are accepted.

Proceedings

Papers accepted for the SCIA 2019 conference will be published in Lecture Notes in Computer Science Proceedings, Springer. All figures will be in black and white in the printed publication.

Registration

Registration to SCIA 2019 and SSDL is now open. Early bird registration is available until April 7.

Register to SCIA 2019, SSDL or SCIA 2019 + SSDL here.


Registration fees

VenueTypeEarly registration
(deadline April 7)
Regular registrationOn-site registration
SCIA Members 5000SEK6000SEK7000SEK
SCIA Non-members 5500SEK6500SEK7500SEK
SCIA Student members 3600SEK4600SEK5600SEK
SCIA Student non-members 4100SEK5100SEK6100SEK
SSDL + SCIA Members 6250SEK7250SEK8750SEK
SSDL + SCIA Non-members 6750SEK7750SEK9250SEK
SSDL + SCIA Student members 4850SEK5850SEK7350SEK
SSDL + SCIA Student non-members 5350SEK6350SEK7850SEK
SSDL All 1250SEK1250SEK1750SEK

Venue

SCIA 2019 will be held at Norrköping Visualization Center C at Linköping University, Campus Norrköping located in the old industrial landscape close to Norrköping city center:


Norrköpings Visualiseringscenter C
Kungsgatan 54
602 33 Norrköping



Accomodation and travel

Norrköping offers a variety of hotels within walking distance from the conference venue. Book hotel at conference rate here.

Traveling to Norrköping from outside of Sweden is easy. The closest airport is in the nearby city of Linköping with flights from and to the Schiphol airport in Amsterdam. Linköping airport is accessed to and from Norrköping by taxi or by taking a shuttle or bus to Linköping train station. The local train is operated by Östgötatrafiken leaves from Linköping Resecentrum to Norrköping Resecentrum 3-4 times every hour. Another option is Skavsta airport which operates Ryanair flights from several destinations in Europe and is accessed by frequent airport busses to and from Norrköping. The Arlanda airport in Stockholm can be reached from most major airports and is accessed by several daily direct trains to and from Norrköping.


Social events

The SCIA 2019 conference reception on Tuesday June 11 will be held at the Visualization Center and include a mingle and visits to the public exhibitions and the dome theatre. The conference dinner in the evening on Wednesday June 12 will be held at in Östgöta kök's restaurant at Nya Torget close to Norrköping city center.

Directions to the conference dinner:


Östgöta kök
Hospitalsgatan 30
602 27 Norrköping



Norrköping

Norrköping is located approximately 1.5 hours south of Stockholm. From the 17th century to the middle of the 20th century, it was the place of a number of large industries located along the Motala river that floats through the city. The city was a large producer of textiles, and has often been nicknamed "Sweden's Manchester". Today, the former industries have been restorated and transformed into a unique environment that hosts a number of innovative companies, museums, conference center, the Visualization Center C, as well as the Norrköping Campus of Linköping University.

For more information about Norrköping, see for example the experience Norrköping website.

Important dates


Paper submission opens December 3, 2018
Paper submission deadline January 30  February 6, 2019
Notification of acceptance March 21, 2019
Submission of camera ready manuscript April 3, 2019
Early-bird registration deadline April 7, 2019
Conference June 11-13, 2019

Sponsoring

New for this year is that the sponsorship packages cover both SCIA and SSDL. Our sponsorship packages for SCIA and SSDL offer a unique opportunity to:

  1. Network with the leading research groups in the Nordic countries
  2. Gain visibility before, during, and after the conference
  3. Meet and recruit undergraduate students, graduated or soon to graduate PhD students


Choose one of our sponsorship options:

A. Silver sponsorship, SEK 15,000

  1. Your logo on the conference website
  2. Acknowledgement of your support during the conference

B. Gold sponsorship, SEK 30,000

  1. All Silver sponsorship & Exhibitor benefits
  2. Distribution of short materials (brochure, bag items) that you provide in advance

C. Exhibitor, SEK 15,000

  1. Demonstration & exhibition space for demonstrations and promotional material
  2. One free ticket to the conference included
  3. We kindly ask that all exhibitors appear with a booth in the exhibition area and notify the conference organizers which days you plan to attend

For more information and booking, please contact Daniel Jönsson.

Organization

General Chair

  • Jonas Unger
  • Department of Science and Technology
  • Linköping University
  • jonas.unger@liu.se

Program Chairs

Web Chair

Sponsors Chair


International program committee

NameEmailAffiliation
Adrien Bartoli adrien.bartoli@gmail.com Université Clermont Auvergne, France
Anders Bjorholm Dahl abda@dtu.dk Technical University of Denmark
Anders Heyden anders.heyden@math.lth.se Lund University, Sweden
Atsuto Maki atsuto@kth.se KTH Royal Institute of Technology, Sweden
Carl-Fredrik Westin westin@bwh.harvard.edu Harvard University, United States
Cristina Soguero Ruiz cristina.soguero@urjc.es Rey Juan Carlos University
Domenico Bloisi bloisi@dis.uniroma1.it University of Basilicata, Italy
Einar Heiberg einar.heiberg@med.lu.se Lund University, Sweden
Erkki Oja erkki.oja@hut.fi Aalto University, Finland
Ewert Bengtsson ewert@cb.uu.se Uppsala University, Sweden
Fahad S. Khan fahad.khan@liu.se Inception Institute of Artificial Intelligence, United Arab Emirates
Filip Malmberg filip.malmberg@it.uu.se Uppsala University, Sweden
Francesco Ciompi francesco.ciompi@radboudumc.nlRadboud University Medical Center, Netherlands
Fredrik Kahl fredrik@maths.lth.se Lund University, Sweden
Gunilla Borgefors gunilla.borgefors@it.uu.se Uppsala University, Sweden
Gustau Camps-Valls gcamps@uv.es University of Valencia
Heikki Kälviäinen heikki.kalviainen@lut.fi Lappeenranta University of Technology
Helene Schulerud helene.schulerud@sintef.no SINTEF
Hugues Talbot hugues.talbot@esiee.fr Université Paris Est, France
Ingela Nyström ingela.nystrom@it.uu.se Uppsala University, Sweden
Janne Heikkila janne.heikkila@ee.oulu.fi University of Oulu, Finland
Jens T. Thielemann jens.t.thielemann@sintef.no SINTEF
Joel Kronander joel.kronander@ninesai.com Nines
Joni-Kristian Kamarainen joni.kamarainen@tut.fi Tampere University, Finland
Kalle Åström kalle@maths.lth.se Lund University, Sweden
Kim Pedersen kimstp@di.ku.dk University of Copenhagen, Denmark
Kjersti Engan kjersti.engan@uis.no University of Stavanger
Lasse Østergaard lasse@hst.aau.dk Aalborg University
Lorenzo Livi lorenz.livi@gmail.com University of Manitoba, Canada
Mads Nielsen madsn@di.ku.dk University of Copenhagen, Denmark
Maria Magnusson maria.magnusson@liu.se Linköping University, Sweden
Marius Pedersen marius.pedersen@ntnu.no NTNU, Gjovik, Norway
Natasa Sladoje natasa.sladoje@it.uu.se Uppsala University, Sweden
Robert Jenssen robert.jenssen@uit.no UiT - The Arctic University of Norway
Robin Strand robin.strand@it.uu.se Uppsala University, Sweden
Simone Scardapane simone.scardapane@uniroma1.it Sapienza University
Thomas Moeslund tbm@create.aau.dk Aalborg University
Volker Krueger volker.krueger@cs.lth.se Lund University, Sweden
Walter Kropatsch krw@prip.tuwien.ac.at TU Wien, Austria