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Eirik Østmo / Torger Grytå

Visual Intellligence Days 2021

The program will be available shortly. Please check back later.

Visual Intelligence Days 2021

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.

Main Program

October 19th

09:00-10:00 Registration and coffee

10:00-13:00 Session 1: Status updates on research activities (room Snorloftet)

Moderator: RobertJenssen

  • Welcome and overall status (Director, co-directors)
  • Selected presentations on research activities from innovation areas (IAs) and research challenges (RCs)

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.

  • Table 1: Learning from limited data, Michael Kampffmeyer (UiT) & Andrea Marinoni (UiT) (room Snorloftet))
  • Table 2: Incorporating context and dependencies, Arnt-Børre Salberg (NR)& Benjamin Ricaud (UiT) (roomSnorloftet)
  • Table 3: Confidence and uncertainty quantification, Fred Godtliebsen(UiT) & Geir Storvik (UiO) (room Inspektøren)
  • Table 4: Explainability and reliability AlexanderBinder (UiO),  Alba Ordonez (NR) &Shujian Yu (UiT) (room Korografen)                                      

17:00 - 19:00 Posters & mingling

  • Posters to showcase diversity and research activities throughout our consortium
  • Beverages and spontaneous discussions

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


October 20th    

09:00-11:00 Session 3: User partner updates

Moderator:Line Eikvil

  • Short presentations from the user partners.

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

  • Summary ofSession 2 (Café tables)
  • Summaries of Sessions 4 and 5 (Focused sessions for IAs)
  • Visual Intelligence Graduate School: Present recommendations, plans
  • Panel discussion: Comments, advice, ideas
  • What’s next (Director, co-directors)

16:00 End

Please download the full program here

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