Måns Larsson - RankMe

16 papers A* 3Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Inter-reader agreement of quantitative FDG PET/CT biomarkers in lymphoma: a multicentre evaluation of MTV, TLG and Dmax. BMC Medical Imaging Elin Trägårdh, Malin Lewold, Jesus Lopez Urdaneta, Måns Larsson, Olof Enqvist, Sally F. Barrington, Mats Jerkeman, Lars Edenbrandt, May Sadik
2023	J	`jnl`	Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models. CoRR Muhammad Usman Akbar, Måns Larsson, Anders Eklund
2022	J	`jnl`	Does an ensemble of GANs lead to better performance when training segmentation networks with synthetic images? CoRR Måns Larsson, Muhammad Usman Akbar, Anders Eklund
2021	A*	`conf`	Back to the Feature: Learning Robust Camera Localization From Pixels To Pose. CVPR Paul-Edouard Sarlin, Ajaykumar Unagar, Måns Larsson, Hugo Germain, Carl Toft, Viktor Larsson, Marc Pollefeys, Vincent Lepetit, Lars Hammarstrand, Fredrik Kahl, Torsten Sattler
2021	J	`jnl`	Back to the Feature: Learning Robust Camera Localization from Pixels to Pose. CoRR Paul-Edouard Sarlin, Ajaykumar Unagar, Måns Larsson, Hugo Germain, Carl Toft, Viktor Larsson, Marc Pollefeys, Vincent Lepetit, Lars Hammarstrand, Fredrik Kahl, Torsten Sattler
2019	A*	`conf`	A Cross-Season Correspondence Dataset for Robust Semantic Segmentation. CVPR Måns Larsson, Erik Stenborg, Lars Hammarstrand, Marc Pollefeys, Torsten Sattler, Fredrik Kahl
2019	J	`jnl`	A Cross-Season Correspondence Dataset for Robust Semantic Segmentation. CoRR Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Marc Pollefeys, Fredrik Kahl
2019	A*	`conf`	Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization. ICCV Måns Larsson, Erik Stenborg, Carl Toft, Lars Hammarstrand, Torsten Sattler, Fredrik Kahl
2019	J	`jnl`	Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization. CoRR Måns Larsson, Erik Stenborg, Carl Toft, Lars Hammarstrand, Torsten Sattler, Fredrik Kahl
2018	J	`jnl`	Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction. IEEE Signal Process. Mag. Anurag Arnab, Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Måns Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, Philip H. S. Torr
2018	J	`jnl`	Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference. SIAM J. Imaging Sci. Måns Larsson, Anurag Arnab, Shuai Zheng, Philip H. S. Torr, Fredrik Kahl
2018	J	`jnl`	Robust abdominal organ segmentation using regional convolutional neural networks. Appl. Soft Comput. Måns Larsson, Yuhang Zhang, Fredrik Kahl
2017	—	`conf`	A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials. EMMCVPR Måns Larsson, Anurag Arnab, Fredrik Kahl, Shuai Zheng, Philip H. S. Torr
2017	J	`jnl`	Learning Arbitrary Potentials in CRFs with Gradient Descent. CoRR Måns Larsson, Fredrik Kahl, Shuai Zheng, Anurag Arnab, Philip H. S. Torr, Richard I. Hartley
2017	—	`conf`	Max-Margin Learning of Deep Structured Models for Semantic Segmentation. SCIA (2) Måns Larsson, Jennifer Alvén, Fredrik Kahl
2017	—	`conf`	Robust Abdominal Organ Segmentation Using Regional Convolutional Neural Networks. SCIA (2) Måns Larsson, Yuhang Zhang, Fredrik Kahl