Stefan Kahl

Orcid: 0000-0002-2411-8877

Affiliations:
  • Cornell University, Cornell Lab of Ornithology, Ithaca, NY, USA
  • Chemnitz University of Technology, Department of Computer Science, Germany


According to our database1, Stefan Kahl authored at least 44 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
BirdSet: A Multi-Task Benchmark for Classification in Avian Bioacoustics.
CoRR, 2024


2023
Feature embeddings from the BirdNET algorithm provide insights into avian ecology.
Ecol. Informatics, May, 2023

BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics.
CoRR, 2023

Feature Embeddings from Large-Scale Acoustic Bird Classifiers Enable Few-Shot Transfer Learning.
CoRR, 2023


Overview of BirdCLEF 2023: Automated Bird Species Identification in Eastern Africa.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

2022
A Comparison of Text Selection Algorithms for Sequence-to-Sequence Neural TTS.
Proceedings of the IEEE International Conference on Signal Processing, 2022

LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Advances in Information Retrieval, 2022

Overview of BirdCLEF 2022: Endangered bird species recognition in soundscape recordings.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

2021
BirdNET: A deep learning solution for avian diversity monitoring.
Ecol. Informatics, 2021

Parsing Birdsong with Deep Audio Embeddings.
CoRR, 2021

LifeCLEF 2021 Teaser: Biodiversity Identification and Prediction Challenges.
Proceedings of the Advances in Information Retrieval, 2021

Overview of BirdCLEF 2021: Bird call identification in soundscape recordings.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2021

2020
Identifying Birds by Sound: Large-scale Acoustic Event Recognition for Avian Activity Monitoring.
PhD thesis, 2020


Overview of BirdCLEF 2020: Bird Sound Recognition in Complex Acoustic Environments.
Proceedings of the Working Notes of CLEF 2020, 2020

Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2020

2019
LifeCLEF 2019: Biodiversity Identification and Prediction Challenges.
Proceedings of the Advances in Information Retrieval, 2019

Automated Lifelog Moment Retrieval based on Image Segmentation and Similarity Scores.
Proceedings of the Working Notes of CLEF 2019, 2019

Overview of BirdCLEF 2019: Large-Scale Bird Recognition in Soundscapes.
Proceedings of the Working Notes of CLEF 2019, 2019

Overview of LifeCLEF 2019: Identification of Amazonian Plants, South & North American Birds, and Niche Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2019

2018
Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System.
CoRR, 2018

University of Applied Sciences Mittweida and Chemnitz University of Technology at TRECVID 2018.
Proceedings of the 2018 TREC Video Retrieval Evaluation, 2018

Species Prediction based on Environmental Variables using Machine Learning Techniques.
Proceedings of the Working Notes of CLEF 2018, 2018

A Baseline for Large-Scale Bird Species Identification in Field Recordings.
Proceedings of the Working Notes of CLEF 2018, 2018

Large-Scale Plant Classification using Deep Convolutional Neural Networks.
Proceedings of the Working Notes of CLEF 2018, 2018

Overview of BirdCLEF 2018: Monospecies vs. Sundscape Bird Identification.
Proceedings of the Working Notes of CLEF 2018, 2018

2017
Technische Universität Chemnitz and Hochschule Mittweida at TRECVID Instance Search 2017.
Proceedings of the 2017 TREC Video Retrieval Evaluation, 2017

Teaching the Information Retrieval Process Using a Web-Based Environment and Game Mechanics.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Aufbereitung augenmedizinischer Bild-, Patienten- und Diagnosedaten zum Zwecke der Forschung - Ethikrichtlinen und deren praktische Umsetzung.
Proceedings of the Mensch und Computer 2017, 2017

Preparing clinical ophthalmic data for research application.
Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017

Evaluation of CNN-based algorithms for human pose analysis of persons in red carpet scenarios.
Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017

WS34 - Deep Learning in heterogenen Datenbeständen.
Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017

Acoustic Event Classification Using Convolutional Neural Networks.
Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017

Large-Scale Bird Sound Classification using Convolutional Neural Networks.
Proceedings of the Working Notes of CLEF 2017, 2017

2016
Technische Universität Chemnitz at TRECVID Instance Search 2016.
Proceedings of the 2016 TREC Video Retrieval Evaluation, 2016

2015
Technische Universität Chemnitz at TRECVID Instance Search 2015.
Proceedings of the 2015 TREC Video Retrieval Evaluation, 2015

Processing Digitized (S)VHS Archives: An Approach of Content-based Retargeting for local TV Stations.
Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia, 2015

Interaktion mit entfernten Displays durch See-Through Augmentation.
Proceedings of the Mensch und Computer 2015, 2015

2014
Technische Universität Chemnitz at TRECVID Instance Search 2014.
Proceedings of the 2014 TREC Video Retrieval Evaluation, 2014


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