Photo: Andrés Lindgren / Helsingborg

SSDL/SSBA 16-18 March has been postponed due to the outbreak of the coronavirus. This decision has already been send to registered participants.
(More information will be available later this spring)


Please visit SSBA/SSDL 2021 webpage!


This year SSDL and SSBA will be held as back-to-back events at Lund Univerity's campus in Helsingborg.

SSDL is an important Swedish forum for leading research groups in industry and academia to meet and discuss the latest trends and developments in deep learning and related areas. SSDL 2020 will feature invited talks by leading researchers in deep learning as well as oral and poster presentations of submitted abstracts.

The SSBA symposium is the premier Swedish event where researchers, industrial professionals and students gather to learn about the recent developments in the areas of image processing, computer vision, pattern recognition and related fields. SSBA 2020 features keynote speakers and oral presentations of submitted short papers.

It will be organized by the Computer vision group at LTH Faculty of Engineering at Lund University, and Swedish Society for Automated Image Analysis (SSBA).

GOLD


Silver


Industrial Prize Sponsor


Important dates

Deadlines
SSBA paper submission deadline 29 February, 2020
SSDL abstract submission deadline 29 February, 2020
Early bird registration deadline 1 March, 2020
Notification of SSDL 6 March, 2020

Registration deadline

9 March, 2020



Conference dates
Deep Learning Symposium 16-17 March, 2020
Image Analysis Symposium 17-18 March, 2020
SSDL/SSBA reception 16 March, 2020
SSBA banquet 17 March, 2020

Registration

Online registration is available via this link.

(Please note - Once you have chosen payment option, you will not be able to go backwards in the registration to modify your choices.)
Registrations made after 9th of March are note guaranteed a place at the reception and banquet, so make sure that you register in time!


The registration fee for SSDL is SEK 1200 + VAT until March 1st after which it is raised to SEK 1700 + VAT. The welcome reception on Monday as well as one lunch and coffee breaks are included in the fee.

The registration fee for SSBA is SEK 1800 + VAT until March 1st after which it is raised to SEK 2300 + VAT. The welcome reception on Monday and the symposium banquet on Tuesday, as well as two lunches and coffee breaks, are included in the fee.

In order to attend the SSBA Symposium you also need to be a member of The Swedish Society for Automated Image Analysis (SSBA). The membership fee can be payed during registration.

Those who wish to attend both symposia can just tick both boxes in the registration form.

If you are facing any issues with registration, please contact Akademikonferens.

Submission

We welcome extended abstracts for the SSDL symposium and regular papers for the SSBA symposium. We explicitly allow you to submit material that has already been published or is going to be submitted elsewhere. The content will only be available off-line to symposium attendees.

Submission deadline is February 29, 2020.


To encourage submissions, the Swedish Society of Image Analysis sponsors PhD students and project students who present at SSBA or SSDL 2020 with the registration fee for both events. This offer holds if registration takes place before the early bird deadline 1/3.
At submission, inform the organizers that you are a doctoral student/project student to receive a link to free registration. Please note that the submission deadline is 29/2 and the early bird deadline is 1/3.




SSDL submissions

Format:

Submit your abstract via email to ssdlabstract2020@ssba.org.se.

Titles and authors of the contributions will be listed in the program of SSDL on this website.

If your submission is based on a paper that is currently under review, make sure to use a different title to preserve anonymity.

Poster dimensions should correspond to portrait A0-format.

You will be notified by 6th March if your contribution is accepted for oral presentation.



SSBA submissions

Format:

Submit your paper via email to ssbapaper2020@ssba.org.se.

Titles and authors of submitted papers will be listed in the program of the symposium on this website.

If your submission is based on a paper that is currently under review, make sure to use a different title to preserve anonymity.

Questions about submissions to SSDL and SSBA should be directed to Niels Christian Overgaard

Program


The program for the SSDL (gold) and SSBA (blue) events are marked in the conference program below.
OBS! Please note that SSBA starts on Tuesday morning.



  • Monday

    11:30 - 13:00Lunch & SSDL Registration
    13:00 - 15:00Keynote 1 & contributed talks
    15:00 - 16:15Poster session & coffee break
    16:15 - 18:45Keynote 2-3 & contributed talks
    19:15 - 20:45SSDL + SSBA reception buffet
    20:45 - 22:00Panel debateDeep Learning in Sweden: Quo Vadis?




    • Tuesday

      08:30 - 08:55SSBA registration & SSDL resumes
      09:00 - 09:50Keynote 4
      09:50 - 10:50Poster session & coffee break
      10:50 - 12:10Contributed talks & SSDL ends

    12:15 - 13:15Lunch break for SSBA
    13:15 - 15:00Contributed talks
    15:00 - 15:40Coffee break
    15:40 - 17:00Contributed talks
    17:00 - 18:00SSBA Annual meeting
    19:00 - 23:00SSBA Banquet at Studio H55



  • >

    Wednesday

    09:15 - 10:00Keynote 5
    10:00 - 10:30Coffee break
    10:30 - 11:50Contributed talks
    11:50 - 13:00Lunch break
    13:00 - 14:40Contributed talks
    14:50 - 15:15Coffee break & SSBA ends




Keynote speakers



Mattias Ohlsson
  • Mattias Ohlsson
  • Lunds Universitet & Högskolan i Halmstad

  • Title: Deep learning in information-driven healthcare: Applications and model development

  • Mattias Ohlsson is a professor at the department of Astronomy and Theoretical Physics, Lund University. He is also a professor of Information Technology at Halmstad University. His research interests focus on machine learning and its applications in information driven healthcare, ranging from outcome prediction using specific medical registers to analysis of patient trajectories using more comprehensive medical databases. He is further interested in deep generative models and the research around explainable AI.


Line H. Clemmensen
  • Line H. Clemmensen
  • Danmarks Tekniske Universitet

  • Title: Small sample size learning and industrial applications

  • Line H. Clemmensen is an Associate Professor at DTU Compute (The Technical University of Denmark), the Section for Statistics and Data Analysis. Her research interests include: Data science, machine learning, statistical learning, spectral image analysis, pattern recognition, dimension reduction, outlier detection; within industrial and educational applications


Robert Jenssen
  • Robert Jenssen
  • Universitetet i Tromsø


  • Robert Jenssen is Professor and Head of the Machine Learning Group at UiT The Arctic University of Norway: machine-learning.uit.no. He is also an Adjunct Professor at the Norwegian Computing Center in Oslo, Norway. Jenssen received the Dr. Scient (PhD) degree from UiT in 2005. He has had long-term research stays at the University of Florida, at the Technical University of Berlin, and at the Technical University of Denmark. Jenssen's research interests are in the development of novel machine learning methodology, particularly at the intersection of deep learning and kernel machines, with applications in data-driven health technology and in image analysis. Jenssen is a member of the IEEE Technical Committee on Machine Learning for Signal Processing, a member of the Governing Board of IAPR, and an Associate Editor for the journal Pattern Recognition.


Marco Kuhlmann
  • Marco Kuhlmann
  • Linköping Universitet

  • Title: Interpreting Pre-trained Representations for Natural Language Processing

  • Marco Kuhlmann is an associate professor at Linköping University, where he leads the research group in natural language processing. His main research interest is the development of efficient algorithms for natural language understanding, with applications in language technology and text mining. His main focus has been in the areas of syntactic and semantic analysis. Lately, he has become interested in methods for the interpretation and grounding of deep contextualized representations of language.
    The area of natural language processing (NLP) has seen major progress recently due to the development of deep neural language models such as BERT and GPT-2. These models learn rich, contextualized linguistic representations from raw text without any explicit supervision, and have improved the state of the art across a wide range of NLP tasks. Prompted by the desire to explain this success, there is a large body of current work on the development of methods for analyzing, interpreting, and evaluating deep neural networks in general, and deep neural language models in particular. In this talk I will review some of these methods, identify prominent research trends, and point to directions for future work.


Torsten Sattler
  • Torsten Sattler
  • Chalmers Tekniska Högskola


  • Torsten Sattler is an associate professor in the research group Computer vision and medical image analysis. His main research interests focus around developing robust and reliable 3D computer vision algorithms for applications such as Mixed Reality, Self-Driving Cars, and Robotics. To this end, Torsten works on integrating higher-level scene understanding into techniques such as visual localization and mapping. He is further interested in real-time computer vision algorithms and machine learning for computer vision tasks.

Venue

Public Transportation

For travel planning to Helsingborg C search on the Skånetrafiken or the SJ web page. Please note that the Pågatåg-routes should be avoided due to the excessive travel time, other options such as SJ and Öresundståg are preferred.

For public transportation within Helsingborg, the most convenient way to travel is by Skånetrafiken. Tickets can be bought at the central station, in the Skånetrafikens app or directly at the bus using your debit card.



Campus Helsingborg, Lund University

The conference will be held at Campus Helsingborg located in the center of Helsingborg within walking distance from the railway station.


Photo: LTH / Helsingborg & Co


Accomodation

If you are unsure where to stay, here are some suggestions:



SSBA & SSDL reception

SSBA & SSDL reception on the Monday will take place at Radisson Blu Metropol, located 5 min by walk from the conference cite. There will be panel discussion for the AI-symposium by the Keynote speakers, and a light buffet dinner will be served during the event. Please inform us of any special dietary necessities, food will be served lacto-ovo-vegetarian by default.


SSBA banquet at Studio H55

The SSBA banquet on Tuesday March 17 will take place at Studio H55. The building was one out of three pavilions from H55 International Exhibition of Applied Arts of Housing and the Interior, 1955. It is located just at Parapeten by the Port of Helsingborg (see Google Maps). Easiest accessible from Helsingborg Campus by a 25 min walk. Otherwise by bus from Helsingborg Gustav Adolfs torg (Helsingborg Campus) to Helsingborg Sundstorget, then 7 min walk to the venue.


Photo: * / Helsingborg & Co





Map of conference venues

Sponsoring

For information and booking, please contact:
Einar Heiberg

Organization

Organizers

Gold Sponsors

Silver Sponsors

Industrial Prize Sponsor

Last Updated Date: 4 MAR 2020