Benjamin Kellenberger

According to our database, Benjamin Kellenberger authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning.

Robin Zbinden, Nina Van Tiel, Benjamin Kellenberger, Lloyd Hughes, Devis Tuia

Ecol. Informatics, 2024

POLO - Point-based, multi-class animal detection.

Giacomo May, Emanuele Dalsasso, Benjamin Kellenberger, Devis Tuia

CoRR, 2024

2023

Teaching Computer Vision for Ecology.

Elijah Cole, Suzanne Stathatos, Björn Lütjens, Tarun Sharma, Justin Kay, Jason Parham, Benjamin Kellenberger, Sara Beery

CoRR, 2023

LifeCLEF 2023 Teaser: Species Identification and Prediction Challenges.

Alexis Joly, Hervé Goëau, Stefan Kahl, Lukás Picek, Christophe Botella, Diego Marcos, Milan Sulc, Marek Hrúz, Titouan Lorieul, Sara Si-Moussi, Maximilien Servajean, Benjamin Kellenberger, Elijah Cole, Andrew Durso, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Henning Müller

Proceedings of the Advances in Information Retrieval, 2023

2022

Fine-grained Population Mapping from Coarse Census Counts and Open Geodata.

Nando Metzger, John E. Vargas-Muñoz, Rodrigo Caye Daudt, Benjamin Kellenberger, Thao Ton-That Whelan, Ferda Ofli, Muhammad Imran, Konrad Schindler, Devis Tuia

CoRR, 2022

Training Techniques for Presence-Only Habitat Suitability Mapping with Deep Learning.

Benjamin Kellenberger, Elijah Cole, Diego Marcos, Devis Tuia

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Block Label Swap for Species Distribution Modelling.

Benjamin Kellenberger, Devis Tuia

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Seeing biodiversity: perspectives in machine learning for wildlife conservation.

Devis Tuia, Benjamin Kellenberger, Sara Beery, Blair R. Costelloe, Silvia Zuffi, Benjamin Risse, Alexander Mathis, Mackenzie W. Mathis, Frank van Langevelde, Tilo Burghardt, Roland Kays, Holger Klinck, Martin Wikelski, Iain D. Couzin, Grant Van Horn, Margaret C. Crofoot, Charles V. Stewart, Tanya Y. Berger-Wolf

CoRR, 2021

Mapping Vulnerable Populations with AI.

Benjamin Kellenberger, John E. Vargas-Muñoz, Devis Tuia, Rodrigo Caye Daudt, Konrad Schindler, Thao T.-T. Whelan, Brenda Ayo, Ferda Ofli, Muhammad Imran

CoRR, 2021

How to find a good image-text embedding for remote sensing visual question answering?

Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, Bertrand Le Saux, Devis Tuia

Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2021), 2021

Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images.

Xiaochen Zheng, Benjamin Kellenberger, Rui Gong, Irena Hajnsek, Devis Tuia

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2019

Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning.

Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Devis Tuia

IEEE Trans. Geosci. Remote. Sens., 2019

When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images.

Benjamin Kellenberger, Diego Marcos, Devis Tuia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Scale equivariance in CNNs with vector fields.

Diego Marcos, Benjamin Kellenberger, Sylvain Lobry, Devis Tuia

CoRR, 2018

Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning.

Benjamin Kellenberger, Diego Marcos, Devis Tuia

CoRR, 2018

Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models.

Diego Marcos, Michele Volpi, Benjamin Kellenberger, Devis Tuia

CoRR, 2018

Best Practices to Train Deep Models on Imbalanced Datasets - A Case Study on Animal Detection in Aerial Imagery.

Benjamin Kellenberger, Diego Marcos, Devis Tuia

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

A Deep Network Approach to Multitemporal Cloud Detection.

Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport.

Benjamin Kellenberger, Diego Marcos, Nicolas Courty, Devis Tuia

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation.

Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty

Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Deep Structured Active Contours End-to-End.

Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Learning class- and location-specific priors for urban semantic labeling with CNNs.

Benjamin Kellenberger, Michele Volpi, Devis Tuia

Proceedings of the Joint Urban Remote Sensing Event, 2017

Fast animal detection in UAV images using convolutional neural networks.

Benjamin Kellenberger, Michele Volpi, Devis Tuia

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017