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Måns Larsson
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2020 – today
- 2023
- [i6]Muhammad Usman Akbar, Måns Larsson, Anders Eklund:
Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models. CoRR abs/2306.02986 (2023) - 2022
- [i5]Måns Larsson, Muhammad Usman Akbar, Anders Eklund:
Does an ensemble of GANs lead to better performance when training segmentation networks with synthetic images? CoRR abs/2211.04086 (2022) - 2021
- [c6]Paul-Edouard Sarlin, Ajaykumar Unagar
, Måns Larsson, Hugo Germain, Carl Toft, Viktor Larsson, Marc Pollefeys
Back to the Feature: Learning Robust Camera Localization From Pixels To Pose. CVPR 2021: 3247-3257 - [i4]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 abs/2103.09213 (2021)
2010 – 2019
- 2019
- [c5]Måns Larsson, Erik Stenborg, Lars Hammarstrand, Marc Pollefeys
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation. CVPR 2019: 9532-9542 - [c4]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: 31-41 - [i3]Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Marc Pollefeys, Fredrik Kahl:
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation. CoRR abs/1903.06916 (2019) - [i2]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 abs/1908.06387 (2019) - 2018
- [j3]Måns Larsson
Robust abdominal organ segmentation using regional convolutional neural networks. Appl. Soft Comput. 70: 465-471 (2018) - [j2]Måns Larsson
Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference. SIAM J. Imaging Sci. 11(4): 2610-2628 (2018) - [j1]Anurag Arnab, Shuai Zheng
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): 37-52 (2018) - 2017
- [c3]Måns Larsson
A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials. EMMCVPR 2017: 564-579 - [c2]Måns Larsson, Jennifer Alvén, Fredrik Kahl:
Max-Margin Learning of Deep Structured Models for Semantic Segmentation. SCIA (2) 2017: 28-40 - [c1]Måns Larsson, Yuhang Zhang, Fredrik Kahl:
Robust Abdominal Organ Segmentation Using Regional Convolutional Neural Networks. SCIA (2) 2017: 41-52 - [i1]Måns Larsson, Fredrik Kahl, Shuai Zheng, Anurag Arnab, Philip H. S. Torr, Richard I. Hartley:
Learning Arbitrary Potentials in CRFs with Gradient Descent. CoRR abs/1701.06805 (2017)
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