ACIT4030 Machine Learning for 3D Computer Vision Emneplan

Arbeids- og undervisningsformer er 4-6 seminar med tilhørende presentasjoner, deltakelse i skrivegrupper, veiledning og selvstudier. I tillegg forventes det at studenten deltar på minst en konferanse, fortrinnsvis den nasjonale forskerlinjekonferansen «Frampeik».

Practical experience with deep machine learning. Knowledge of computer graphics and image processing is preferable, but not strictly required.

For å fremstille seg til eksamen må følgende arbeidskrav være godkjent:

• Minimum 80% oppmøte på seminarene

Hjemmeeksamen over 1 uke, samlet omfang 1500 ord (+/-10%).

• Convolutional neural networks in 3D
• Deep learning for point clouds
• Convolutional neural networks on graphs
• Neural radiance fields
• Joint embedding for images and 3D data

Alle hjelpemidler er tillatt så lenge regler for kildehenvisning følges.

Bestått/Ikke bestått

The exam consists of three parts:

1. Oral presentation of 15 minutes (20% of the final grade), individual or in a group of two
2. Written evaluation of another student presentation, 500-1000 words (10% of the final grade), individual or in a group of two
3. Final project report between 6000 and 11,000 words (70% of the final grade), individual or in a group of two.

All three parts of the exam must be passed in order to pass the course.

The oral examination cannot be appealed.

New/postponed exam

In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for registering for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

All aids are permitted, provided the rules for plagiarism and source referencing are complied with.

Grade scale A-F.

Two internal examiners. External examiner is used periodically.

Associate Professor Henrik Lieng