Måns Larsson

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 15

Top Topics

Semantic Segmentation

Top Venues

SIAM J. Imaging Sci.

Publications

Muhammad Usman Akbar, Måns Larsson, Anders Eklund
Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models. CoRR (2023)
Måns Larsson, Muhammad Usman Akbar, Anders Eklund
Does an ensemble of GANs lead to better performance when training segmentation networks with synthetic images? CoRR (2022)
Paul-Edouard Sarlin, Ajaykumar Unagar, Måns Larsson, Hugo Germain, Carl Toft, Viktor Larsson, Marc Pollefeys, Vincent Lepetit, Lars Hammarstrand, Fredrik Kahl, Torsten Sattler
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose. CoRR (2021)
Paul-Edouard Sarlin, Ajaykumar Unagar, Måns Larsson, Hugo Germain, Carl Toft, Viktor Larsson, Marc Pollefeys, Vincent Lepetit, Lars Hammarstrand, Fredrik Kahl, Torsten Sattler
Back to the Feature: Learning Robust Camera Localization From Pixels To Pose. CVPR (2021)
Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Marc Pollefeys, Fredrik Kahl
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation. CoRR (2019)
Måns Larsson, Erik Stenborg, Lars Hammarstrand, Marc Pollefeys, Torsten Sattler, Fredrik Kahl
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation. CVPR (2019)
Måns Larsson, Erik Stenborg, Carl Toft, Lars Hammarstrand, Torsten Sattler, Fredrik Kahl
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization. CoRR (2019)
Måns Larsson, Erik Stenborg, Carl Toft, Lars Hammarstrand, Torsten Sattler, Fredrik Kahl
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization. ICCV (2019)
Måns Larsson, Yuhang Zhang, Fredrik Kahl
Robust abdominal organ segmentation using regional convolutional neural networks. Appl. Soft Comput. 70 (2018)
Anurag Arnab, Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Måns Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, Philip H. S. Torr
Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction. IEEE Signal Process. Mag. 35 (1) (2018)
Måns Larsson, Anurag Arnab, Shuai Zheng, Philip H. S. Torr, Fredrik Kahl
Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference. SIAM J. Imaging Sci. 11 (4) (2018)
Måns Larsson, Anurag Arnab, Fredrik Kahl, Shuai Zheng, Philip H. S. Torr
A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials. EMMCVPR (2017)
Måns Larsson, Yuhang Zhang, Fredrik Kahl
Robust Abdominal Organ Segmentation Using Regional Convolutional Neural Networks. SCIA (2) (2017)
Måns Larsson, Fredrik Kahl, Shuai Zheng, Anurag Arnab, Philip H. S. Torr, Richard I. Hartley
Learning Arbitrary Potentials in CRFs with Gradient Descent. CoRR (2017)
Måns Larsson, Jennifer Alvén, Fredrik Kahl
Max-Margin Learning of Deep Structured Models for Semantic Segmentation. SCIA (2) (2017)