D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 37 Citations 6,708 88 World Ranking 5423 National Ranking 9

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Pose, Visualization and Matching. Many of his studies involve connections with topics such as Pattern recognition and Artificial intelligence. Torsten Sattler works mostly in the field of Pattern recognition, limiting it down to concerns involving Computation and, occasionally, Bottleneck, Scalability and Image.

His study in the field of Iterative reconstruction, Scale-invariant feature transform and Matching is also linked to topics like Set and Scale. His work deals with themes such as Ground truth, Feature extraction, Outlier and Image based, which intersect with Pose. The concepts of his Visualization study are interwoven with issues in View synthesis and Visual localization.

His most cited work include:

  • Fast image-based localization using direct 2D-to-3D matching (350 citations)
  • Efficient & Effective Prioritized Matching for Large-Scale Image-Based Localization (265 citations)
  • Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions (259 citations)

What are the main themes of his work throughout his whole career to date?

Torsten Sattler spends much of his time researching Artificial intelligence, Computer vision, Pose, Pattern recognition and Matching. His study in Augmented reality, Feature, Benchmark, Image retrieval and Robustness is carried out as part of his Artificial intelligence studies. The various areas that he examines in his Augmented reality study include Robot and Relevance.

Many of his research projects under Computer vision are closely connected to Focus and Odometry with Focus and Odometry, tying the diverse disciplines of science together. The study incorporates disciplines such as Ground truth, Visualization, Visual localization and Algorithm in addition to Pose. His work carried out in the field of Pattern recognition brings together such families of science as Artificial neural network and 3D reconstruction.

He most often published in these fields:

  • Artificial intelligence (93.50%)
  • Computer vision (64.23%)
  • Pose (26.83%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (93.50%)
  • Computer vision (64.23%)
  • Pose (26.83%)

In recent papers he was focusing on the following fields of study:

Torsten Sattler mainly focuses on Artificial intelligence, Computer vision, Pose, Robustness and Benchmark. His study in the fields of Visual localization, Feature and Optical flow under the domain of Artificial intelligence overlaps with other disciplines such as Pipeline and Matching. Torsten Sattler performs integrative Computer vision and Focus research in his work.

His Pose research integrates issues from Visualization, Image, Image retrieval and Inertial measurement unit. His biological study deals with issues like Robot, which deal with fields such as Ground truth. His Benchmark research focuses on 3d camera and how it relates to Task.

Between 2019 and 2021, his most popular works were:

  • SurfelMeshing: Online Surfel-Based Mesh Reconstruction (16 citations)
  • To Learn or Not to Learn: Visual Localization from Essential Matrices (13 citations)
  • InLoc: Indoor Visual Localization with Dense Matching and View Synthesis (11 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Torsten Sattler focuses on Artificial intelligence, Computer vision, Pose, Visualization and Visual localization. His work on Artificial intelligence deals in particular with Augmented reality, Image retrieval, View synthesis, Robustness and Robot. His research integrates issues of Real image and Feature extraction in his study of View synthesis.

Torsten Sattler has included themes like Ground truth, Machine learning, Feature and Feature in his Robot study. His Computer vision study frequently involves adjacent topics like Convolutional neural network. Torsten Sattler has researched Pose in several fields, including Image segmentation, Camera resectioning and Distortion.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Fast image-based localization using direct 2D-to-3D matching

Torsten Sattler;Bastian Leibe;Leif Kobbelt.
international conference on computer vision (2011)

484 Citations

Image-Based Localization Using LSTMs for Structured Feature Correlation

F. Walch;C. Hazirbas;L. Leal-Taixe;T. Sattler.
international conference on computer vision (2017)

337 Citations

Efficient & Effective Prioritized Matching for Large-Scale Image-Based Localization

Torsten Sattler;Bastian Leibe;Leif Kobbelt.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2017)

295 Citations

A Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos

Thomas Schops;Johannes L. Schonberger;Silvano Galliani;Torsten Sattler.
computer vision and pattern recognition (2017)

264 Citations

Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

Torsten Sattler;Will Maddern;Carl Toft;Akihiko Torii.
computer vision and pattern recognition (2018)

259 Citations

Get Out of My Lab: Large-scale, Real-Time Visual-Inertial Localization

Simon Lynen;Torsten Sattler;Michael Bosse;Joel A. Hesch.
robotics science and systems (2015)

227 Citations

Improving image-based localization by active correspondence search

Torsten Sattler;Bastian Leibe;Leif Kobbelt.
european conference on computer vision (2012)

217 Citations

Comparative Evaluation of Hand-Crafted and Learned Local Features

Johannes L. Schonberger;Hans Hardmeier;Torsten Sattler;Marc Pollefeys.
computer vision and pattern recognition (2017)

215 Citations

Image Retrieval for Image-Based Localization Revisited.

Torsten Sattler;Tobias Weyand;Bastian Leibe;Leif Kobbelt.
british machine vision conference (2012)

195 Citations

SCRAMSAC: Improving RANSAC's efficiency with a spatial consistency filter

Torsten Sattler;Bastian Leibe;Leif Kobbelt.
international conference on computer vision (2009)

192 Citations

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