Speakers

Research Scientist
Paula Lopez Diez
Eriksholm Research Centre
Oticon A/S

Industry talk: How can multi-modal data be used for hearing device development and fitting.

Professor and Canada Research Chair in Machine Learning
Graham Taylor
Vector Institute for Artificial Intelligence
Academic Director, NextAI

Topics: Multi-modal Learning for Biodiversity Monitoring: Bridging Vision and Genomics at Scale

Professor
Line Katrine Harder Clemmensen
Section on Statistics and Probability Theory.
Copenhagen University

Topics: Case study on multi-modal learning for emotion recognition

Professor
Robert Jenssen
The Arctic University of Norway

Topics: Leveraging multimodality for concept-based XAI analysis of vision transformers.

Associate Professor
Dimitrios Papadopoulos
Technical University of Denmark

Topics: An introduction to multi-modal learning with a special focus on the machine vision community


Mads Nielsen

Professor
Mads Nielsen
Copenhagen University

Topics: Multi-modal learning on healthcare records

Post. Doc.
Joakim Bruslund Haurum
Aalborg University

Topics: Multi-modal Learning for Biodiversity Monitoring: Bridging Vision and Genomics at Scale