Torsten Sattler

Associate Professor at Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, Imaging and Image Analysis

Torsten Sattler is an associate professor in the research group Computer vision and medical image analysis. His main research interests focus around developing robust and reliable 3D computer vision algorithms for applications such as Mixed Reality, Self-Driving Cars, and Robotics. To this end, Torsten works on integrating higher-level scene understanding into techniques such as visual localization and mapping. He is further interested in real-time computer vision algorithms and machine learning for computer vision tasks.

Source: chalmers.se

Showing 5 publications

2019

BAD SLAM: Bundle Adjusted Direct RGB-D SLAM

Thomas Schöps, Torsten Sattler, Marc Pollefeys
Paper in proceedings
2019

Understanding the Limitations of CNN-based Absolute Camera Pose Regression

Torsten Sattler, Qunjie Zhou, Marc Pollefeys et al
Paper in proceedings
2019

Hybrid scene Compression for Visual Localization

Federico Camposeco, Andrea Cohen, Marc Pollefeys et al
Paper in proceedings
2019

A Cross-Season Correspondence Dataset for Robust Semantic Segmentation

Måns Larsson, Erik Stenborg, Lars Hammarstrand et al
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Paper in proceedings
2019

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

Mihai Dusmanu, Ignacio Rocco, Tomas Pajdla et al
Paper in proceedings

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