Markus Mühling

Orcid: 0000-0001-7391-264X

Affiliations:
  • University of Marburg, Department of Mathematics and Computer Science, Germany


According to our database1, Markus Mühling authored at least 33 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Deep Learning for Recognizing Bat Species and Bat Behavior in Audio Recordings.
Proceedings of the 10th IEEE Swiss Conference on Data Science, 2023

Edge-Based Bird Species Recognition via Active Learning.
Proceedings of the Networked Systems - 11th International Conference, 2023

Bird Species Recognition in Soundscapes with Self-supervised Pre-training.
Proceedings of the Intelligent Systems and Pattern Recognition, 2023

2022
VIVA: visual information retrieval in video archives.
Int. J. Digit. Libr., 2022

Bird@Edge: Bird Species Recognition at the Edge.
Proceedings of the Networked Systems - 10th International Conference, 2022

Bat Echolocation Call Detection and Species Recognition by Transformers with Self-attention.
Proceedings of the Intelligent Systems and Pattern Recognition, 2022

2021
Automatic Transcription of Organ Tablature Music Notation with Deep Neural Networks.
Trans. Int. Soc. Music. Inf. Retr., 2021

ElasticHash: Semantic Image Similarity Search by Deep Hashing with Elasticsearch.
Proceedings of the Computer Analysis of Images and Patterns, 2021

2020
Detection and segmentation of morphologically complex eukaryotic cells in fluorescence microscopy images via feature pyramid fusion.
PLoS Comput. Biol., 2020

Bird Species Recognition via Neural Architecture Search.
Proceedings of the Working Notes of CLEF 2020, 2020

Intentional Image Similarity Search.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2020

2019
Content-based video retrieval in historical collections of the German Broadcasting Archive.
Int. J. Digit. Libr., 2019

Investigating Correlations of Inter-coder Agreement and Machine Annotation Performance for Historical Video Data.
Proceedings of the Digital Libraries for Open Knowledge, 2019

2018
Fast Cloud Segmentation Using Convolutional Neural Networks.
Remote. Sens., 2018

2017
Deep learning for content-based video retrieval in film and television production.
Multim. Tools Appl., 2017

Current trends in text_spotting.
Proceedings of the International Conference on Wireless Networks and Mobile Communications, 2017

2015
Visual Concept Detection in Images and Videos.
PhD thesis, 2015

Improving Cross-Domain Concept Detection via Object-Based Features.
Proceedings of the Computer Analysis of Images and Patterns, 2015

2012
Long-Term Incremental Web-Supervised Learning of Visual Concepts via Random Savannas.
IEEE Trans. Multim., 2012

Robust Video Content Analysis via Transductive Learning.
ACM Trans. Intell. Syst. Technol., 2012

Multimodal Video Concept Detection via Bag of Auditory Words and Multiple Kernel Learning.
Proceedings of the Advances in Multimedia Modeling - 18th International Conference, 2012

2011
University of Marburg at TRECVID 2011: Semantic Indexing Task.
Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011

On the Spatial Extents of SIFT Descriptors for Visual Concept Detection.
Proceedings of the Computer Vision Systems - 8th International Conference, 2011

Multi-class Object Detection with Hough Forests Using Local Histograms of Visual Words.
Proceedings of the Computer Analysis of Images and Patterns, 2011

2010
University of Marburg at TRECVID 2010: Semantic Indexing.
Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010

2009
University of Marburg at TRECVID 2009: High-Level Feature Extraction.
Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009

Improving Semantic Video Retrieval via Object-Based Features.
Proceedings of the 3rd IEEE International Conference on Semantic Computing (ICSC 2009), 2009

Eine service-orientierte Grid-Infrastruktur zur Unterstützung medienwissenschaftlicher Filmanalyse.
Proceedings of the Gemeinschaften in Neuen Medien (GeNeMe) 2009, Dresden, 2009

2008
University of Marburg at TRECVID 2008: High-Level Feature Extraction.
Proceedings of the TRECVID 2008 workshop participants notebook papers, 2008

2007
Self-Supervised Learning of Face Appearances in TV Casts and Movies.
Int. J. Semantic Comput., 2007

University of Marburg at TRECVID 2007: Shot Boundary Detection and High Level Feature Extraction.
Proceedings of the TRECVID 2007 workshop participants notebook papers, 2007

Semantic video analysis for psychological research on violence in computer games.
Proceedings of the 6th ACM International Conference on Image and Video Retrieval, 2007

2006
University of Marburg at TRECVID 2006: Shot Boundary Detection and Rushes Task Results.
Proceedings of the 2006 TREC Video Retrieval Evaluation, 2006


  Loading...