Christian Mikkelstrup

I'm a PhD student at DTU Compute, where I work on graph algorithms, image segmentation, and deep learning. I am supervised by Prof. Inge Li Gørtz, Prof. Vedrana A. Dahl, Prof. Philip Bille, and Prof. Anders B. Dahl.

My PhD is a fellowship granted by the Danish Data Science Academy. Read more about the project here.

Email  /  LinkedIn  /  Scholar  /  ORCiD  /  Github

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Research

I'm interested in graph theory, graph algorithms, computer vision, data structures, and deep learning. You will find a list of my publications below.

Fast and Compact Graph Cuts for the Boykov-Kolmogorov Algorithm
Christian Mikkelstrup, Anders B. Dahl, Philip Bille, Vedrana A. Dahl, and Inge Li Gørtz.
Under review, 2026
Project Page  /  Paper  /  Code  /  Data

Theoretical and practical improvements to the Boykov-Kolmogorov algorithm, a popular minimum s-t cut algorithm within computer vision. This paper is currently under review and accessible through arXiv.


SportsPose - A Dynamic 3D sports pose dataset
Christian Keilstrup Ingwersen,   Christian Mikkelstrup, Janus Nørtoft Jensen, Morten Rieger Hannemose, and Anders B. Dahl.
🏆Best paper award at CVPRW, 2023 🏆
Project Page  /  Paper  /  Code  /  Data

With SportsPose we introduce a large marker-less 3D pose dataset, specifically targeted at sports movement. To see more visit our project page. The paper won the best paper award at the 2023 CVPR workshop, Computer Vision in sports.



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