no code implementations • 21 Nov 2023 • Christian Keilstrup Ingwersen, Anders Bjorholm Dahl, Janus Nørtoft Jensen, Morten Rieger Hannemose
We propose a novel loss function, multiview consistency, to enable adding additional training data with only 2D supervision.
1 code implementation • 4 Apr 2023 • Christian Keilstrup Ingwersen, Christian Mikkelstrup, Janus Nørtoft Jensen, Morten Rieger Hannemose, Anders Bjorholm Dahl
Accurate 3D human pose estimation is essential for sports analytics, coaching, and injury prevention.
no code implementations • 22 Mar 2022 • Morten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov, Rasmus R. Paulsen, Anders Nymark Christensen
In this paper, we introduce methods for estimating how hard it is for a doctor to diagnose a case represented by a medical image, both when ground truth difficulties are available for training, and when they are not.
no code implementations • 7 Feb 2022 • Josefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen, Peter Bray, James Harte, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen
We present a deep metric variational autoencoder for multi-modal data generation.