Archives: Thesis

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04SEP 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Known Operator Learning – Part 4
Deep Design Patterns These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were performed. […]
Read more about Lecture Notes in Deep Learning: Known Operator Learning – Part 4
02SEP 2020
News
Successful Ph.D. Defense of Christoph Luckner!
Let’s congratulate Christoph Luckner for the successful completion of his dissertation. He defended with his presentation on “Tomosynthesis for Orthopedic Applications: Ultra-small-angle Tomosynthesis and Applications Beyond” in exactly 30 Minutes in an online exam via teleconference with Prof. Nöth as head of committee, as well as Prof. Maier and Prof. Noo (Salt Lake City) as […]
Read more about Successful Ph.D. Defense of Christoph Luckner!
02SEP 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Known Operator Learning – Part 3
CT Reconstruction Revisited These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were performed. […]
Read more about Lecture Notes in Deep Learning: Known Operator Learning – Part 3
01SEP 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Known Operator Learning – Part 2
Boundaries on Learning These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were performed. […]
Read more about Lecture Notes in Deep Learning: Known Operator Learning – Part 2
01SEP 2020
News
[Invited Talk] A Method for Efficient Minimal Solvers – Snehal Bhayani (CVPR 2020)
It is a pleasure to announce the invited talk by Snehal Bhayani, currently pursuing his doctoral studies from Center for Machine Vision and Signal Analysis at University of Oulu. Mr. Bhayani has recently published his work on minimal solvers at CVPR 2020 and is going to talk about it during the session. Please, find the […]
Read more about [Invited Talk] A Method for Efficient Minimal Solvers – Snehal Bhayani (CVPR 2020)
31AUG 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Known Operator Learning – Part 1
Don’t re-invent the Wheel These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were […]
Read more about Lecture Notes in Deep Learning: Known Operator Learning – Part 1