Morten Rieger Hannemose

Find me in:

Building 324, room 230

DTU, Kgs. Lyngby, Denmark

I am a tenure track Assistant Professor at the Section for Visual Computing at the Technical University of Denmark (DTU).

My research interests are in computer vision and machine learning, with a focus on learning from images by generating them. I’m especially interested in how can we push the boundaries of making the output of a camera closer to what we see. I also work with extracting 3D from images.

I obtained my PhD in Differentiable Formulations for Inverse Rendering in 2020 under the supervision of Jeppe Revall Frisvad and Jakob Wilm. During my PhD, I did a research stay at Cornell Tech where I visited Serge Belongie.

selected publications

Neural Representation of Open Surfaces

T. V. Christiansen, J. A. Bærentzen, R. R. Paulsen, and M. R. Hannemose

In Computer Graphics Forum, 2023

Bib PDF Code Website

@inproceedings{christiansen2023neural,
  title = {Neural Representation of Open Surfaces	},
  author = {Christiansen, T. V. and Bærentzen, J. A. and Paulsen, R. R. and Hannemose, M. R.},
  booktitle = {Computer Graphics Forum},
  volume = {42},
  number = {5},
  year = {2023},
  organization = {Wiley Online Library},
  doi = {http://doi.org/10.1111/cgf.14916},
}

SportsPose: A Dynamic 3D Sports Pose Dataset

Christian Keilstrup Ingwersen, Christian Mikkelstrup, Janus Nørtoft Jensen, Morten Rieger Hannemose, and Anders Bjorholm Dahl

In Proceedings of the IEEE/CVF International Workshop on Computer Vision in Sports, 2023

Bib PDF Website

@inproceedings{ingwersen2023sportspose,
  title = {SportsPose: A Dynamic 3D Sports Pose Dataset},
  author = {Ingwersen, Christian Keilstrup and Mikkelstrup, Christian and Jensen, Janus N{\o}rtoft and Hannemose, Morten Rieger and Dahl, Anders Bjorholm},
  booktitle = {Proceedings of the IEEE/CVF International Workshop on Computer Vision in Sports},
  year = {2023},
}

Was that so Hard? Estimating Human Classification Difficulty

Morten Rieger Hannemose*, Josefine Vilsbøll Sundgaard*, Niels Kvorning Ternov, Rasmus R. Paulsen, and Anders Nymark Christensen

Applications of Medical Artificial Intelligence, 2022

Bib PDF

@article{hannemose2022so,
  title = {Was that so Hard? Estimating Human Classification Difficulty},
  author = {Hannemose*, Morten Rieger and Sundgaard*, Josefine Vilsb{\o}ll and Ternov, Niels Kvorning and Paulsen, Rasmus R. and Christensen, Anders Nymark},
  journal = {Applications of Medical Artificial Intelligence},
  volume = {13540},
  pages = {88},
  year = {2022},
  doi = {https://doi.org/10.1007/978-3-031-17721-7_10},
  publisher = {Springer Nature},
}

Video Frame Interpolation via Cyclic Fine-Tuning and Asymmetric Reverse Flow

Morten Hannemose, Janus Nørtoft Jensen, Gudmundur Einarsson, Jakob Wilm, Anders B. Dahl, and Jeppe R. Frisvad

In Scandinavian Conference on Image Analysis, 2019

Bib PDF Code

@inproceedings{hannemose2019video,
  title = {Video Frame Interpolation via Cyclic Fine-Tuning and Asymmetric Reverse Flow},
  author = {Hannemose, Morten and Jensen, Janus N{\o}rtoft and Einarsson, Gudmundur and Wilm, Jakob and Dahl, Anders B. and Frisvad, Jeppe R.},
  booktitle = {Scandinavian Conference on Image Analysis},
  pages = {311--323},
  year = {2019},
  organization = {Springer},
  doi = {https://doi.org/10.1007/978-3-030-20205-7_26},
}

Superaccurate camera calibration via inverse rendering

Morten Hannemose, Jakob Wilm, and Jeppe R. Frisvad

In Modeling Aspects in Optical Metrology VII, 2019

Bib PDF

@inproceedings{hannemose2019superaccurate,
  title = {Superaccurate camera calibration via inverse rendering},
  author = {Hannemose, Morten and Wilm, Jakob and Frisvad, Jeppe R.},
  booktitle = {Modeling Aspects in Optical Metrology VII},
  volume = {11057},
  pages = {1105717},
  year = {2019},
  organization = {International Society for Optics and Photonics},
  doi = {https://doi.org/10.1117/12.2531769},
}