Computer Vision (CV) is a well-established research field with diverse applications that are vital to many industries. Fueled by the recent AI boom, access to advanced methods has increased, leading to a surge in use-cases and in-depth research across Denmark. This rapidly evolving field presents exciting opportunities but can be difficult to navigate. Our goal is to foster awareness and establish an overview and connections by showcasing the diverse computer vision landscape in Denmark and spark connections across disciplines and sectors.

In this session we highlight select topics from the wide spectrum of computer vision work in Denmark, both in academia and industry. Experts will present state-of-the-art research from Danish universities, as well as innovative, yet often under-the-radar, applications developed by Danish companies. During a panel discussion, speakers will also reflect on the future direction of CV in Denmark.

Program

0-10: Intro and quick overview of Danish CV landscape

10-25: Talk: Nico Lang, Assistant Professor, DIKU / Global Wetland Center

25-40: Talk: Kåre L. Jensen, Senior Software Developer and Computer Vision Specialist, iMotions

40-45: 5 minute break

45-60: Aasa Feragen, Professor, DTU

60-75: Magnus Ibh, Computer Vision Developer, Trackman

75-90: Shared QA / Exercise

90-105: 15 min break

105-135: Elevator Pitches from junior (PhD/PostDoc) researchers

135-165: Networking session

165-195: Panel discussion (Quo Vadis Danish Computer Vision?)

Organizers

• Joakim Bruslund Haurum (Assistant Professor, SDU)
• Stella Graßhof (Assistant Professor, ITU)
• Thomas B. Moeslund (Professor, AAU)
• Dan Witzner (Professor, ITU)

Level

Intermediate. The target audience member should have some understanding of what Computer Vision is and commonly used methods within the field.