Deep Learning for Visual Computing

Deep Learning for Visual Computing

Internship Description

The internship will be in the area of visual computing (computer graphics, computer vision, remote sensing). The exact topic depends on the student's interest, student's background, and current research topics in the group. 
To give some examples of past projects, our group worked on topics related to generative adversarial networks for synthesizing images, textures, point clouds, 3D geometry, ..., networks using graphs as representations, and 3D reconstruction problems such as depth from one or multiple images, primitive fitting, indoor room layout reconstruction and segmentation of images.​

Deliverables/Expectations

There are two learning objectives for the internships:
1)  students should learn about machine learning, deep learning, and the respective target application chosen for the internship.

​2) students should implement a working prototype

Faculty Name

Peter Wonka

Field of Study

Computer Graphics, Computer Vision, Deep Learning