Benjamin Kellenberger

36 papers A* 1C 4Journal 20Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	How to minimize the annotation effort in aerial wildlife surveys. Ecol. Informatics Giacomo May, Emanuele Dalsasso, Alexandre Delplanque, Benjamin Kellenberger, Devis Tuia
2025	J	`jnl`	MaskSDM with Shapley values to improve flexibility, robustness, and explainability in species distribution modeling. CoRR Robin Zbinden, Nina Van Tiel, Gencer Sumbul, Chiara Vanalli, Benjamin Kellenberger, Devis Tuia
2024	—	`conf`	MaskSDM: Adaptive Species Distribution Modeling Through Data Masking. ECCV Workshops (2) Robin Zbinden, Nina Van Tiel, Gencer Sumbul, Benjamin Kellenberger, Devis Tuia
2024	J	`jnl`	Multi-Scale and Multimodal Species Distribution Modeling. CoRR Nina Van Tiel, Robin Zbinden, Emanuele Dalsasso, Benjamin Kellenberger, Loïc Pellissier, Devis Tuia
2024	—	`conf`	Multi-scale and Multimodal Species Distribution Modeling. ECCV Workshops (2) Nina Van Tiel, Robin Zbinden, Emanuele Dalsasso, Benjamin Kellenberger, Loïc Pellissier, Devis Tuia
2024	J	`jnl`	On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning. CoRR Robin Zbinden, Nina Van Tiel, Benjamin Kellenberger, Lloyd Hughes, Devis Tuia
2024	J	`jnl`	On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning. Ecol. Informatics Robin Zbinden, Nina Van Tiel, Benjamin Kellenberger, Lloyd Hughes, Devis Tuia
2024	—	`conf`	POLO - Point-Based, Multi-class Animal Detection. ECCV Workshops (2) Giacomo May, Emanuele Dalsasso, Benjamin Kellenberger, Devis Tuia
2024	J	`jnl`	POLO - Point-based, multi-class animal detection. CoRR Giacomo May, Emanuele Dalsasso, Benjamin Kellenberger, Devis Tuia
2023	—	`conf`	LifeCLEF 2023 Teaser: Species Identification and Prediction Challenges. ECIR (3) 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
2023	J	`jnl`	Teaching Computer Vision for Ecology. CoRR Elijah Cole, Suzanne Stathatos, Björn Lütjens, Tarun Sharma, Justin Kay, Jason R. Parham, Benjamin Kellenberger, Sara Beery
2022	—	`conf`	Block Label Swap for Species Distribution Modelling. CLEF (Working Notes) Benjamin Kellenberger, Devis Tuia
2022	J	`jnl`	Fine-grained Population Mapping from Coarse Census Counts and Open Geodata. CoRR Nando Metzger, John E. Vargas-Muñoz, Rodrigo Caye Daudt, Benjamin Kellenberger, Thao Ton-That Whelan, Ferda Ofli, Muhammad Imran, Konrad Schindler, Devis Tuia
2022	C	`conf`	Training Techniques for Presence-Only Habitat Suitability Mapping with Deep Learning. IGARSS Benjamin Kellenberger, Elijah Cole, Diego Marcos, Devis Tuia
2021	—	`conf`	How to find a good image-text embedding for remote sensing visual question answering? MACLEAN@PKDD/ECML Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, Bertrand Le Saux, Devis Tuia
2021	J	`jnl`	How to find a good image-text embedding for remote sensing visual question answering? CoRR Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, Bertrand Le Saux, Devis Tuia
2021	J	`jnl`	Mapping Vulnerable Populations with AI. CoRR Benjamin Kellenberger, John E. Vargas-Muñoz, Devis Tuia, Rodrigo Caye Daudt, Konrad Schindler, Thao T.-T. Whelan, Brenda Ayo, Ferda Ofli, Muhammad Imran
2021	J	`jnl`	Seeing biodiversity: perspectives in machine learning for wildlife conservation. CoRR 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
2021	—	`conf`	Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images. ICCVW Xiaochen Zheng, Benjamin Kellenberger, Rui Gong, Irena Hajnsek, Devis Tuia
2021	J	`jnl`	Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images. CoRR Xiaochen Zheng, Benjamin Kellenberger, Rui Gong, Irena Hajnsek, Devis Tuia
2020	J	`jnl`	A deep network approach to multitemporal cloud detection. CoRR Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls
2019	J	`jnl`	Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning. IEEE Trans. Geosci. Remote. Sens. Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Devis Tuia
2019	J	`jnl`	Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning. CoRR Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Devis Tuia
2019	—	`conf`	When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images. CVPR Workshops Benjamin Kellenberger, Diego Marcos, Devis Tuia
2018	C	`conf`	A Deep Network Approach to Multitemporal Cloud Detection. IGARSS Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls
2018	—	`conf`	Best Practices to Train Deep Models on Imbalanced Datasets - A Case Study on Animal Detection in Aerial Imagery. ECML/PKDD (3) Benjamin Kellenberger, Diego Marcos, Devis Tuia
2018	—	`conf`	DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. ECCV (4) Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty
2018	J	`jnl`	DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation. CoRR Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty
2018	C	`conf`	Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport. IGARSS Benjamin Kellenberger, Diego Marcos, Nicolas Courty, Devis Tuia
2018	J	`jnl`	Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning. CoRR Benjamin Kellenberger, Diego Marcos, Devis Tuia
2018	J	`jnl`	Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models. CoRR Diego Marcos, Michele Volpi, Benjamin Kellenberger, Devis Tuia
2018	A*	`conf`	Learning Deep Structured Active Contours End-to-End. CVPR Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun
2018	J	`jnl`	Learning deep structured active contours end-to-end. CoRR Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun
2018	J	`jnl`	Scale equivariance in CNNs with vector fields. CoRR Diego Marcos, Benjamin Kellenberger, Sylvain Lobry, Devis Tuia
2017	C	`conf`	Fast animal detection in UAV images using convolutional neural networks. IGARSS Benjamin Kellenberger, Michele Volpi, Devis Tuia
2017	—	`conf`	Learning class- and location-specific priors for urban semantic labeling with CNNs. JURSE Benjamin Kellenberger, Michele Volpi, Devis Tuia