Computing a Collision-Free Path Using the Monogenic Scale Space. - Karl Holmquist; Oeniz Senel; Michael Felsberg (IROS, 2018)

Flexible Disaster Response of Tomorrow: Final Presentation and Evaluation of the CENTAURO System. - Tobias Klamt; Malgorzata Kamedula; Hakan Karaoguz; Navvab Kashiri; Arturo Laurenzi; Christian Lenz; Daniele Leonardis; Enrico Mingo Hoffman; Luca Muratore; Dmytro Pavlichenko; Francesco Porcini; Diego Rodriguez; et al. (IEEE Robotics Autom. Mag., 2019)

Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End. - Abdelrahman Eldesokey; Michael Felsberg; Karl Holmquist; Michael Persson (CVPR, 2020)

A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control. - Zahra Gharaee; Karl Holmquist; Linbo He; Michael Felsberg (ICPR, 2020)

Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End. - Abdelrahman Eldesokey; Michael Felsberg; Karl Holmquist; Mikael Persson (CoRR, 2020)

Class-Incremental Learning for Semantic Segmentation - A study. - Karl Holmquist; Lena Klasén; Michael Felsberg (SAIS, 2021)

DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion Models. - Karl Holmquist; Bastian Wandt (ICCV, 2023)

Evidential Deep Learning for Class-Incremental Semantic Segmentation. - Karl Holmquist; Lena Klasén; Michael Felsberg (SCIA (2), 2023)

Data-Driven Robot Perception in the Wild. - Karl Holmquist (2023)