Visual Intelligence (VI) is another word for modern Computer Vision (CV), i.e. CV based on DL (ML/AI)

Teacher: Frank Lindseth

Methods covered

• Fundamentals (neurons, layers, networks and back-propagation etc.)
• Image Classification (CNNs and backbones)
• Object Detection (R-CNN++, YOLO++, SSD, etc.) and Tracking
• Segmentation (Mask R-CNN, U-Net, etc.) and Pose Estimation
• Depth estimation, super resolution and style transfer.
• Vision Transformers, Vision Mamba, Diffusion models Large Vision Models (LVM), Vision Language models and Multi-modal fundation models.
• SSL and pretraing. Text to Image/Video/3D.
• GNNs / GCNs and CV
• Deep Generative Models (DGM) and CV
• Deep Reinforcement Learning (DRL) and CV
• From image to 3D content / mesh and 3D reconstruction (NeRFs and 3DGS)
• etc.

Application examples

• Autonomous Perception
• Medical Image Computing / Analysis
• etc.

Classical and State-of-the-Art papers.

2024:

The first meeting will be Thursday Sep. 5th at 08:15 (many of you have not decided on the modules to take yet). 

The first meeting will probably be on Teams (due to ongoing renovations in the IT-building its difficult to get find a suitable room).

Everybody that has signed up for TDT17 will get a Teams-invite for the meeting next week, all information will be given then, inc. access to the Teams-site for the module, looking forward to see you then.

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The background of the people who have signed up is probably a bit broad, it's an advantage that we are somewhat on the same page, if you know that you are a bit rusty on things like calculus/partial derivatives/lin.algebra, Python/NumPy/PyTorch/Notebooks and DL/NNs please try to read up a bit, a lot of resources are availble online and is a search away, as for the DL/NN part a gentle intro can be:

• Neural Networks (NN, 3Blue1Brown)
• Neural Networks and Deep Learning (Nielsen)

More info and how to sign up for non-IDI students can be found here:

Info, Modules, TDT4506 (Computer Science), IT3020 (Informatics), Registration (other study programmes)

Looking forward to get started.