The program will be available shortly. Please check back later.
Date: 19th and 20th October 2021, 09h00 - 16h00
Place: Scandic, St. Olavs plass, Oslo
Registration closes on September 17th 2021.
Download the full program here
Phd-students and early career researcher will gather Monday 18th October to connect. Go to warm-up event.
09:00-10:00 Registration and coffee
10:00-13:00 Session 1: Status updates on research activities (room Snorloftet)
Moderator: RobertJenssen
Time |
Name | Topic |
---|---|---|
10:00-10:30 |
Director, co-directors |
Welcome |
10:30-10:45 |
Changkyu Choi, UiT |
Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data |
10:45-11:00 |
Alba Ordonez, NR |
Learning Motion of Seismic Structures without Human Labelling |
11:00-11:15 |
Stine Hansen, UiT |
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision |
11:15-11:30 |
Amund Vedal, NR |
Context-aware Landmark Detection for 2D Cardiac Ultrasound using Graph Convnet |
11:30-11:45 |
Break |
Break |
11:45-12:00 |
Nikita Shvetsov, UiT |
Machine Learning Approach to Quantify TILs in WSI: Challenges, Solutions and Opportunities |
12:00-12:15 |
Arnt-Børre Salberg, NR |
Detection of Harp and Hooded Seal Pups from Aerial Photographs |
12:15-12:30 |
Sristhi Gautam, UiT |
Artifact Detection with Prototypical Relevance Propagation |
12:30-12:45 |
Pål S. Malm, RCN |
Presentation by the Research Council of Norway (RCN) |
12:45-13:00 |
Café Table hosts |
Introduction to Session 2 “Café table discussions” |
13:00-14:00 Lunch
14:00-16:30 Session 2: Café table discussions
Table discussions to fertilize ideas and inspire innovations. Each table will be coordinated by PI’s on the topics assigned. The other participants, divided into four groups will in turn be visited by the PI’ moderators.
Introduction to discussion topics by PIs.
17:00 - 19:00 Posters & mingling
Presenter |
Title |
---|---|
Fabian Bull (UiO) |
Predictive Uncertainty in Neural Networks |
Changkyu Choi (UiT) |
Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data |
Daniel J. Trosten (UiT) |
Reconsidering Representation Alignment for Multi-view Clustering |
Ahcene Boubekki (UiT) |
Joint Optimization of an Autoencoder for Clustering and Embedding |
Kristoffer Wickstrøm (UiT) |
RELAX: Representation Learning Explainability |
Nikita Shvetsov (UiT) |
A pragmatic machine learning approach to quantify tumor infiltrating lymphocytes in whole slide images |
Arnt-Børre Salberg (NR) |
Self-constructing Graph Neural Networks to model Long-range Pixel Dependencies for Semantic Segmentation |
Ingrid Utseth (NR) |
Improving Marine Acoustic Target Classification with Context Information |
19:30 Dinner in Hotel Restaurant
09:00-11:00 Session 3: User partner updates
Moderator:Line Eikvil
11:00-12:00 Session 4: Parallel
Focused session for IA 1 Medicine & Health Moderator/VI PIs: Anne Solberg (UiO), Robert Jenssen (UiT) |
Focused session for IA 2 Marine sciences Moderators/VI PIs: Arnt-Børre Salberg (NR), Andreas Austeng (UiO) |
Visual Intelligence Graduate School planning |
12:00-13:00 Lunch
13:00-14:00 Session 5: Parallel
Focused session for IA 3 Energy Moderators/VI PIs: Line Eikvil (NR), Benjamin Ricaud (UiT) |
Focused session for IA 4 Earth observation Moderators/VI PIs: Rune Solberg (NR), Andrea Marinoni (UiT) |
Visual Intelligence Graduate School planning |
14:00-16:00 Session 6: Outlook & Closing
16:00 End
Please download the full program here
Annual Visual Intelligence workshop to strengthened technology transfer, as well as knowledge transfer within the Visual intelligence consortium.
Annual Visual Intelligence workshop to strengthened technology transfer, as well as knowledge transfer within the Visual intelligence consortium.