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Lund University

Fredrik Kahl, Research

I am an applied mathematician interested in optimization and modelling, computer vision, deep learning and medical image analysis.

NEWS: We won the Best Industry Paper at the Swedish Symposium on Image Analysis, Göteborg, 2019 for our work on 3D Object Detection by Eskil Jörgensen, Christopher Zach and Fredrik Kahl.

NEWS: We have obtained striking results on the rotation averaging problem! Highly recommended reading: Rotation Averaging and Strong Duality. Joint collaboration with Anders Eriksson at Queensland University of Technology.

NEWS: We won the Best Industry Paper at the Swedish Symposium on Image Analysis, Stockholm, 2018 for our work on Visual Localization by Carl Toft et al.

NEWS: Our research collaboration with Oxford University (Phil Torr's group) on "Conditional Random Fields Meet Deep Neural Networks" has just resulted in a journal article in IEEE Signal Processing Magazine (special issue on Deep Learning), 2018.

NEWS: The Best Student Paper Award is awarded to "Shape-Aware Multi-Atlas Segmentation" at ICPR 2016, Cancun, Mexico! Read the paper.

Learn more about 3D reconstruction form large-scale image sets and visit Örebro castle at the same time. For more info, read the paper. More reconstructions by Carl Olsson.

We have looked at the problem of extracting one-dimensional structures from large-scale 3D images, for example, automatically segmenting the coronary arties in CT images. For more info, read our paper, Shortest Paths with Higher-Order Regularization, published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015.

Research interests include: See also publications.


Publisher: Fredrik Kahl, fredrik@maths.lth.se
Last updated: January 9, 2017