World's Best Scientists 2026 revealed!

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Computer Science

D-Index
41
Citations
6555
World Ranking
8895
National Ranking
441

Electronics and Electrical Engineering

D-Index
41
Citations
6492
World Ranking
4314
National Ranking
125

Overview

Jörg Stückler is affiliated with the Max Planck Institute for Intelligent Systems in Germany and works in the fields of Computer Science and Engineering. Their research primarily addresses topics within Robotics and Sensor-Based Localization, Advanced Vision and Imaging, and Human Pose and Action Recognition.

They have contributed to the study of 3D Surveying and Cultural Heritage, Anomaly Detection Techniques and Applications, Advanced Neural Network Applications, and Model Reduction and Neural Networks.

Stückler's recent publications include the following papers:

  • Model Learning and Real-Time Tracking Using Multi-Resolution Surfel Maps (2021, Proceedings of the AAAI Conference on Artificial Intelligence)
  • Learning to Adapt Multi-View Stereo by Self-Supervision (2020, arXiv (Cornell University))
  • Learning to Identify Physical Parameters from Video Using Differentiable Physics (2021, Lecture notes in computer science)
  • Event-Based Non-rigid Reconstruction of Low-Rank Parametrized Deformations from Contours (2024, International Journal of Computer Vision)
  • Event-based Non-Rigid Reconstruction from Contours (2022, arXiv (Cornell University))

Frequent coauthors in Stückler's work include Jan Achterhold, Rama Krishna Kandukuri, Stefan Leutenegger, Sven Behnke, and Michael Möller.

The scientist has published regularly in venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, Lecture notes in computer science, International Journal of Computer Vision, and OPUS (Augsburg University).

Best Publications

  • Semi-Supervised Deep Learning for Monocular Depth Map Prediction

    Yevhen Kuznietsov;Jorg Stuckler;Bastian Leibe

  • Large-scale direct SLAM with stereo cameras

    Jakob Engel;Jorg Stuckler;Daniel Cremers

  • The TUM VI Benchmark for Evaluating Visual-Inertial Odometry

    David Schubert;Thore Goll;Nikolaus Demmel;Vladyslav Usenko

  • Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry

    Nan Yang;Rui Wang;Jörg Stückler;Daniel Cremers

  • Visual-Inertial Mapping With Non-Linear Factor Recovery

    Vladyslav Usenko;Nikolaus Demmel;David Schubert;Jorg Stuckler

  • Direct visual-inertial odometry with stereo cameras

    Vladyslav Usenko;Jakob Engel;Jorg Stuckler;Daniel Cremers

  • Multi-resolution surfel maps for efficient dense 3D modeling and tracking

    Jörg Stückler;Sven Behnke

  • Multi-view deep learning for consistent semantic mapping with RGB-D cameras

    Lingni Ma;Jorg Stuckler;Christian Kerl;Daniel Cremers

  • CPA-SLAM: Consistent plane-model alignment for direct RGB-D SLAM

    Lingni Ma;Christian Kerl;Jorg Stuckler;Daniel Cremers

  • Learning to interpret pointing gestures with a time-of-flight camera

    David Droeschel;Jörg Stückler;Sven Behnke

  • Omnidirectional DSO: Direct Sparse Odometry With Fisheye Cameras

    Hidenobu Matsuki;Lukas von Stumberg;Vladyslav Usenko;Jorg Stuckler

  • Mobile bin picking with an anthropomorphic service robot

    Matthias Nieuwenhuisen;David Droeschel;Dirk Holz;Jorg Stuckler

  • Efficient multi-resolution plane segmentation of 3d point clouds

    Bastian Oehler;Joerg Stueckler;Jochen Welle;Dirk Schulz

  • Dense Continuous-Time Tracking and Mapping with Rolling Shutter RGB-D Cameras

    Christian Kerl;Jorg Stuckler;Daniel Cremers

  • Local multi-resolution representation for 6D motion estimation and mapping with a continuously rotating 3D laser scanner

    David Droeschel;Jörg Stückler;Sven Behnke

  • Dense real-time mapping of object-class semantics from RGB-D video

    Jörg Stückler;Benedikt Waldvogel;Hannes Schulz;Sven Behnke

  • Multilayered Mapping and Navigation for Autonomous Micro Aerial Vehicles

    David Droeschel;Matthias Nieuwenhuisen;Marius Beul;Dirk Holz

  • Integrating depth and color cues for dense multi-resolution scene mapping using RGB-D cameras

    Jorg Stuckler;Sven Behnke

  • Active Recognition and Manipulation for Mobile Robot Bin Picking

    Dirk Holz;Matthias Nieuwenhuisen;David Droeschel;Jörg Stückler

  • Following human guidance to cooperatively carry a large object

    Jorg Stuckler;Sven Behnke

  • EM-Fusion: Dynamic Object-Level SLAM with Probabilistic Data Association

    Michael Strecke;Jörg Stückler

Frequent Co-Authors

Sven Behnke
Sven Behnke University of Bonn
Daniel Cremers
Daniel Cremers Technical University of Munich
Bastian Leibe
Bastian Leibe RWTH Aachen University
Reinhard Klein
Reinhard Klein University of Bonn
Dirk Schulz
Dirk Schulz TU Dortmund University
Laura Leal-Taixé
Laura Leal-Taixé Technical University of Munich
Bernhard Nebel
Bernhard Nebel University of Freiburg
Hendrik P. A. Lensch
Hendrik P. A. Lensch University of Tübingen
Bodo Rosenhahn
Bodo Rosenhahn University of Hannover
Armin B. Cremers
Armin B. Cremers University of Bonn

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