CVAUI 2018 Workshop Program

Held in conjunction with ICPR 2018, Beijing, China

20 August 2018, 09:00 to 17:00

Instructions to presenters:

You may use your own laptop, or upload your presentation to a provided laptop.

Invited talks
1 hour total with 40-45 minutes for presentation and 15 minutes for questions and discussion
Oral presentations
20 minutes total with 15 minutes for presentation and 5 minutes for questions and discussion

Workshop Program

09:00 to 09:30 – Introductions

Welcome from Workshop Organizers (Alexandra Branzan Albu & Maia Hoeberechts)

“Big data” challenges in underwater imagery analysis (Maia Hoeberechts)

09:30 to 10:30 – Invited Talk 1

Extracting ecological information from deep-sea imagery

Kim Juniper

Ocean Networks Canada & School of Earth and Ocean Sciences, University of Victoria, Victoria, Canada

10:30 to 11:00 – Coffee Break

11:00 to 12:30 – Oral Presentations 1 (4 papers)

Single Image Plankton 3D Reconstruction from Extended Depth of Field Shadowgraph

Claudius Zelenka1 and Reinhard Koch1

1Department of Computer Science, Kiel University, Germany

 

Deep Active Learning for In Situ Plankton Classification

Erik Bochinski1, Ghassen Bacha1, Volker Eiselein1, Tim J. W. Walles2, Jens C.Nejstgaard2, and Thomas Sikora1

1 Communication System Group, Technische Universität Berlin

2 Leibnitz-Institute of Freshwater Ecology and Inland Fisheries

 

Tracking Sponge Size and Behaviour with Fixed Underwater Observatories

Torben Möller1, Ingunn Nilssen2, and Tim Wilhelm Nattkemper1

1 Biodata Mining Group, Bielefeld University, Bielefeld 33615, Germany

2 Equinor, Research and Technology, Trondheim 7005 Norway

 

Underwater-GAN: Underwater Image Restoration via Conditional Generative Adversarial Network

Xiaoli Yu1, Yanyun Qu1, and Ming Hong1

1School of Information Science and Engineering, Xiamen University, Xiamen, China

12:30 to 14:00 – Lunch

14:00 to 15:30 – Oral Presentations 2 (4 papers)

Strategies for Tackling the Class Imbalance Problem in Marine Image Classification

Daniel Langenkämper1, Robin van Kevelaer1, and Tim W Nattkemper1

1Biodata Mining Group, Faculty of Technology, Bielefeld University, 33615 Bielefeld, Germany

 

Marine Snow Removal Using a Fully Convolutional 3D Neural Network Combined with an Adaptive Median Filter

Michal Koziarski1 and Boguslaw Cyganek1

1Department of Electronics, AGH University of Science and Technology, Kraków, Poland

 

An Online Platform for Underwater Image Quality Evaluation

Chau Yi Li1, Riccardo Mazzon1, Andrea Cavallaro1

1Centre for Intelligent Sensing, Queen Mary University of London

 

Enhancement of low-lighting underwater images using Dark Channel Prior and Fast Guided Filters

Tunai Porto Marques1, Alexandra Branzan Albu1 and Maia Hoeberechts2

1 Department of Electrical & Computer Engineering, University of Victoria, Victoria, Canada

2 Ocean Networks Canada, University of Victoria, Victoria, Canada

15:30 to 16:00 – Coffee Break

16:00 to 17:00 – Invited Talk 2

Collecting, Cleaning and Analyzing a Large Fish Dataset

Robert B. Fisher

School of Informatics, University of Edinburgh, Edinburgh, Scotland, UK

Important Dates:

Extended submission deadline: 1 June 2018
Author notification: 5 July 2018
Camera ready: 18 July 2018
Workshop day: 20 August 2018

Workshop Organizers:

Alexandra Branzan Albu (PhD) Maia Hoeberechts (PhD)
Associate Professor Electrical and Computer Engineering Associate Director, User Services
University of Victoria BC, Canada Ocean Networks Canada BC, Canada
aalbu@uvic.ca maiah@uvic.ca

Scientific Committee:

Jacopo Aguzzi Spanish National Research Council, Dept. of Renewable Resources, Barcelona, Spain
Konstantinos Avgerinakis Centre for Research & Technology Hellas, Greece
Duane Edgington Monterey Bay Aquarium Research Institute, CA, US
Bob Fisher School of Informatics, University of Edinburgh, UK
Hervé Glotin Institut Universitaire de France and University of Toulon, France
Anthony Hoogs Computer Vision group, Kitware, NY, US
Tim Nattkemper Bielefeld University, Germany
Timm Shoening Helmholtz Centre for Ocean Research, Kiel, Germany