Stefan Schubert

Stefan Schubert

Technische Universität Chemnitz

H-index: 12

Europe-Germany

About Stefan Schubert

Stefan Schubert, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Technische Universität Chemnitz,

His recent articles reflect a diverse array of research interests and contributions to the field:

Local positional graphs and attentive local features for a data and runtime-efficient hierarchical place recognition pipeline

Visual Place Recognition in Changing Environments using Additional Data-Inherent Knowledge

Visual Place Recognition: A Tutorial

SEER: Unsupervised and sample-efficient environment specialization of image descriptors

Graph-Based Non-Linear Least Squares Optimization for Visual Place Recognition in Changing Environments

What makes visual place recognition easy or hard?

Softmp: Attentive feature pooling for joint local feature detection and description for place recognition in changing environments

Resolving Place Recognition Inconsistencies Using Intra-Set Similarities

Stefan Schubert Information

University

Position

___

Citations(all)

447

Citations(since 2020)

423

Cited By

105

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

15

i10Index(since 2020)

12

Email

University Profile Page

Technische Universität Chemnitz

Google Scholar

View Google Scholar Profile

Top articles of Stefan Schubert

Title

Journal

Author(s)

Publication Date

Local positional graphs and attentive local features for a data and runtime-efficient hierarchical place recognition pipeline

IEEE Robotics and Automation Letters

Fangming Yuan

Stefan Schubert

Peter Protzel

Peer Neubert

2024/1/29

Visual Place Recognition in Changing Environments using Additional Data-Inherent Knowledge

Machines

Ioannis Tsampikos Papapetros

Ioannis Kansizoglou

Loukas Bampis

Antonios Gasteratos

2023/5/16

Visual Place Recognition: A Tutorial

IEEE Robotics & Automation Magazine (RAM)

Stefan Schubert

Peer Neubert

Sourav Garg

Michael Milford

Tobias Fischer

2023/3/6

SEER: Unsupervised and sample-efficient environment specialization of image descriptors

Robotics: Science and Systems (R: SS)

Peer Neubert

Stefan Schubert

2022

Graph-Based Non-Linear Least Squares Optimization for Visual Place Recognition in Changing Environments

IEEE Robotics and Automation Letters

Stefan Schubert

Peer Neubert

Peter Protzel

2021/1/18

What makes visual place recognition easy or hard?

arXiv preprint arXiv:2106.12671

Stefan Schubert

Peer Neubert

2021/6/23

Softmp: Attentive feature pooling for joint local feature detection and description for place recognition in changing environments

Fangming Yuan

Peer Neubert

Stefan Schubert

Peter Protzel

2021/5/30

Resolving Place Recognition Inconsistencies Using Intra-Set Similarities

IEEE Robotics and Automation Letters

Peer Neubert

Stefan Schubert

Peter Protzel

2021/2/19

Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition

Stefan Schubert

Peer Neubert

Peter Protzel

2021/5/30

Fast and Memory Efficient Graph Optimization via ICM for Visual Place Recognition.

Robotics: Science and Systems

Stefan Schubert

Peer Neubert

Peter Protzel

2021/7

Hyperdimensional computing as a framework for systematic aggregation of image descriptors

Peer Neubert

Stefan Schubert

2021

Vector Semantic Representations as Descriptors for Visual Place Recognition.

Peer Neubert

Stefan Schubert

Kenny Schlegel

Peter Protzel

2021/7

Object detection routine for material streams combining RGB and hyperspectral reflectance data based on guided object localization

IEEE Sensors Journal

Vishnu Sudharshan

Peter Seidel

Pedram Ghamisi

Sandra Lorenz

Margret Fuchs

...

2020/5/22

Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments

Stefan Schubert

Peer Neubert

Peter Protzel

2020/5/31

See List of Professors in Stefan Schubert University(Technische Universität Chemnitz)