Benjamin Kellenberger

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 29

Top Topics

Convolutional Neural Networks

Joint Distribution

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Robin Zbinden, Nina Van Tiel, Benjamin Kellenberger, Lloyd Hughes, Devis Tuia
On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning. Ecol. Informatics 81 (2024)
Robin Zbinden, Nina Van Tiel, Benjamin Kellenberger, Lloyd Hughes, Devis Tuia
On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning. CoRR (2024)
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
LifeCLEF 2023 Teaser: Species Identification and Prediction Challenges. ECIR (3) (2023)
Elijah Cole, Suzanne Stathatos, Björn Lütjens, Tarun Sharma, Justin Kay, Jason Parham, Benjamin Kellenberger, Sara Beery
Teaching Computer Vision for Ecology. CoRR (2023)
Benjamin Kellenberger, Devis Tuia
Block Label Swap for Species Distribution Modelling. CLEF (Working Notes) (2022)
Nando Metzger, John E. Vargas-Muñoz, Rodrigo Caye Daudt, Benjamin Kellenberger, Thao Ton-That Whelan, Ferda Ofli, Muhammad Imran, Konrad Schindler, Devis Tuia
Fine-grained Population Mapping from Coarse Census Counts and Open Geodata. CoRR (2022)
Benjamin Kellenberger, Elijah Cole, Diego Marcos, Devis Tuia
Training Techniques for Presence-Only Habitat Suitability Mapping with Deep Learning. IGARSS (2022)
Xiaochen Zheng, Benjamin Kellenberger, Rui Gong, Irena Hajnsek, Devis Tuia
Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images. CoRR (2021)
Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, Bertrand Le Saux, Devis Tuia
How to find a good image-text embedding for remote sensing visual question answering? CoRR (2021)
Benjamin Kellenberger, John E. Vargas-Muñoz, Devis Tuia, Rodrigo Caye Daudt, Konrad Schindler, Thao T.-T. Whelan, Brenda Ayo, Ferda Ofli, Muhammad Imran
Mapping Vulnerable Populations with AI. CoRR (2021)
Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, Bertrand Le Saux, Devis Tuia
How to find a good image-text embedding for remote sensing visual question answering? MACLEAN@PKDD/ECML (2021)
Xiaochen Zheng, Benjamin Kellenberger, Rui Gong, Irena Hajnsek, Devis Tuia
Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images. ICCVW (2021)
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
Seeing biodiversity: perspectives in machine learning for wildlife conservation. CoRR (2021)
Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls
A deep network approach to multitemporal cloud detection. CoRR (2020)
Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Devis Tuia
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning. IEEE Trans. Geosci. Remote. Sens. 57 (12) (2019)
Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Devis Tuia
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning. CoRR (2019)
Benjamin Kellenberger, Diego Marcos, Devis Tuia
When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images. CVPR Workshops (2019)
Diego Marcos, Benjamin Kellenberger, Sylvain Lobry, Devis Tuia
Scale equivariance in CNNs with vector fields. CoRR (2018)
Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty
DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation. CoRR (2018)
Benjamin Kellenberger, Diego Marcos, Devis Tuia
Best Practices to Train Deep Models on Imbalanced Datasets - A Case Study on Animal Detection in Aerial Imagery. ECML/PKDD (3) (2018)
Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun
Learning deep structured active contours end-to-end. CoRR (2018)
Diego Marcos, Michele Volpi, Benjamin Kellenberger, Devis Tuia
Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models. CoRR (2018)
Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls
A Deep Network Approach to Multitemporal Cloud Detection. IGARSS (2018)
Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun
Learning Deep Structured Active Contours End-to-End. CVPR (2018)
Benjamin Kellenberger, Diego Marcos, Devis Tuia
Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning. CoRR (2018)
Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. ECCV (4) (2018)
Benjamin Kellenberger, Diego Marcos, Nicolas Courty, Devis Tuia
Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport. IGARSS (2018)
Benjamin Kellenberger, Michele Volpi, Devis Tuia
Learning class- and location-specific priors for urban semantic labeling with CNNs. JURSE (2017)
Benjamin Kellenberger, Michele Volpi, Devis Tuia
Fast animal detection in UAV images using convolutional neural networks. IGARSS (2017)