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Torsten Sattler — most-cited papers & profile · Computer Vision
← authors
·
overview
Torsten Sattler
8
papers ·
66
citations ·
50
h-index
Institute of Informatics of the Slovak Academy of Sciences · Czech Technical University in Prague
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Most-cited papers
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
2019 · 36 citations
To Learn or Not to Learn: Visual Localization from Essential Matrices
2019 · 10 citations
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences
2020 · 8 citations
AdaLAM: Revisiting Handcrafted Outlier Detection
2020 · 7 citations
Quad-networks: unsupervised learning to rank for interest point detection
2016 · 4 citations
DGC-Net: Dense Geometric Correspondence Network
2018 · 1 citations
DGSfM: Depth-Guided Scale-Aware Global Structure-from-Motion
2026
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization
2019
Top co-authors
Marc Pollefeys
· 5
Laura Leal-Taixe
· 2
Qunjie Zhou
· 2
Akihiko Torii
· 1
Akihito Seki
· 1
Aleksei Tiulpin
· 1
Carl Toft
· 1
Erik Stenborg
· 1
Esa Rahtu
· 1
Fredrik Kahl
· 1
Iaroslav Melekhov
· 1
Ignacio Rocco
· 1
Topics
3D Vision
Object Detection
Visual Language
Autonomous Driving
Image Restoration
Segmentation
Image Generation