Machine Learning for Computer Vision Faculty of Computer Science TU Dresden

Online Workshop: Machine Learning for Biodiversity Monitoring

August 12th, 2024

→ Join live

Contact

david.stein1 AT tu-dresden.de

Scientific Program

All times are in Central European Time (CET).

Session 1 – Chair: David Stein

9:00 - 9:10 Andres, Bjoern
(TU Dresden)
Welcome, opening remarks
9:10 - 9:30 Márquez-Rodríguez, Alba
(Univ. of Cádiz)
Decoding the Sounds of Doñana: Advancements in Bird Detection and Identification Through Deep Learning
9:30 - 9:45 Angonin, Céline
(Tilburg Univ., BioacousticAI)
Massively multi-task deep learning for wildlife sound monitoring
9:45 - 9:55 (Break)

Session 2 – Chair: David Stein

9:55 - 10:25 Süßle, Vanessa
(Hochschule Darmstadt, AI4WildLIVE)
AI for nature and species conversation
10:25 - 10:45 Seyidbayli, Chingiz
(TU Clausthal, BioIntAkt)
InRecNet - Insect Recognition Model
10:45 - 10:55 (Break)

Session 3 – Chair: Bjoern Andres

10:55 - 11:15 Stein, David
(TU Dresden, ECO2SCAPE)
Correlation Clustering of Bird Sounds
11:15 - 11:35 Darras, Kevin
(INRAE)
Standardizing automated acoustic detections of animals
11:35 - 11:50 Amoah, Edward Idun
(Penn State University)
Leveraging automated monitoring of solitary bee foraging and nesting behavior to inform population models
11:50 - 12:00 Lambrette, Mario
(Univ. of Exeter)
Object Detection for Baited Remote Underwater Systems
12:00 - 12:10 Andres, Bjoern
(TU Dresden)
Closing remarks
Deutsch Legal notice Privacy