Computer Vision is an emerging technology with numerous applications. Since computers and GPUs became more powerful, neural networks could be applied to an increasing number of existing problems.
The goal of this seminar is to familiarize students with central challenges and state-of-the-art technologies in the area of computer vision. Students will choose one topic out of:
- Anomaly Detection
- Background Subtraction
- Datasets
- Depth Estimation
- Generative Adversarial Networks
- Instance Segmentation
- Object Detection
- or other related fields.
- Lehrende(r): Marcus Handte
- Lehrende(r): Peter Roch
- Lehrende(r): Elke Schulte-Lippern
- Lehrende(r): Bijan Shahbaz Nejad