A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials. - Måns Larsson; Anurag Arnab; Fredrik Kahl; Shuai Zheng 001; Philip H. S. Torr (EMMCVPR, 2017)

Max-Margin Learning of Deep Structured Models for Semantic Segmentation. - Måns Larsson; Jennifer Alvén; Fredrik Kahl (SCIA (2), 2017)

Learning Arbitrary Potentials in CRFs with Gradient Descent. - Måns Larsson; Fredrik Kahl; Shuai Zheng 001; Anurag Arnab; Philip H. S. Torr; Richard I. Hartley (CoRR, 2017)

Robust abdominal organ segmentation using regional convolutional neural networks. - Måns Larsson; Yuhang Zhang 001; Fredrik Kahl (Appl. Soft Comput., 2018)

Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference. - Måns Larsson; Anurag Arnab; Shuai Zheng 001; Philip H. S. Torr; Fredrik Kahl (SIAM J. Imaging Sci., 2018)

Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction. - Anurag Arnab; Shuai Zheng 001; Sadeep Jayasumana; Bernardino Romera-Paredes; Måns Larsson; Alexander Kirillov; Bogdan Savchynskyy; Carsten Rother; Fredrik Kahl; Philip H. S. Torr (IEEE Signal Process. Mag., 2018)

A Cross-Season Correspondence Dataset for Robust Semantic Segmentation. - Måns Larsson; Erik Stenborg; Lars Hammarstrand; Marc Pollefeys; Torsten Sattler; Fredrik Kahl (CVPR, 2019)

Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization. - Måns Larsson; Erik Stenborg; Carl Toft; Lars Hammarstrand; Torsten Sattler; Fredrik Kahl (ICCV, 2019)

Back to the Feature: Learning Robust Camera Localization From Pixels To Pose. - Paul-Edouard Sarlin; Ajaykumar Unagar; Måns Larsson; Hugo Germain; Carl Toft; Viktor Larsson; Marc Pollefeys; Vincent Lepetit; Lars Hammarstrand; Fredrik Kahl; Torsten Sattler (CVPR, 2021)

Does an ensemble of GANs lead to better performance when training segmentation networks with synthetic images? - Måns Larsson; Muhammad Usman Akbar; Anders Eklund 002 (CoRR, 2022)

Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models. - Muhammad Usman Akbar; Måns Larsson; Anders Eklund 002 (CoRR, 2023)