Hjalmar S. Kühl

According to our database, Hjalmar S. Kühl authored at least 16 papers between 2016 and 2026.

Collaborative distances:

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

2026

Deep in the Jungle: Towards Automating Chimpanzee Population Estimation.

Tom Raynes, Otto Brookes, Timm Haucke, Lukas Boesch, Anne-Sophie Crunchant, Hjalmar S. Kühl, Sara Beery, Majid Mirmehdi, Tilo Burghardt

CoRR, January, 2026

2025

The SA-FARI Dataset: Segment Anything in Footage of Animals for Recognition and Identification.

Dante Francisco Wasmuht, Otto Brookes, Maximillian Schall, Pablo Palencia, Chris Beirne, Tilo Burghardt, Majid Mirmehdi, Hjalmar S. Kühl, Mimi Arandjelovic, Sam Pottie, Peter Bermant, Brandon Asheim, Yi Jin Toh, Adam Elzinga, Jason Holmberg, Andrew Whitworth, Eleanor Flatt, Laura Gustafson, Chaitanya Ryali, Yuan-Ting Hu, Baishan Guo, Andrew Westbury, Kate Saenko, Didac Suris

CoRR, November, 2025

Towards Application-Specific Evaluation of Vision Models: Case Studies in Ecology and Biology.

Alex Hoi Hang Chan, Otto Brookes, Urs Waldmann, Hemal Naik, Iain D. Couzin, Majid Mirmehdi, Noël Adiko Houa, Emmanuelle Normand, Christophe Boesch, Lukas Boesch, Mimi Arandjelovic, Hjalmar S. Kühl, Tilo Burghardt, Fumihiro Kano

CoRR, May, 2025

Zamba: Computer vision for wildlife conservation.

Emily Dorne, Jay Qi, Peter Bull, Colleen Stephens, Mattia Bessone, Benjamin Debetencourt, Barbara Fruth, David Morgan, Meredith S. Palmer, Crickette Sanz, Janika Wendefeuer, Catherine Crockford, Tobias Deschner, Kevin Langergraber, Alex K. Piel, Martha Robbins, Volker Sommer, Fiona A. Stewart, Roman M. Wittig, Klaus Zuberbühler, Hjalmar S. Kühl, Mimi Arandjelovic

Proceedings of the 24th Python in Science Conference, 2025

The PanAf-FGBG Dataset: Understanding the Impact of Backgrounds in Wildlife Behaviour Recognition.

Otto Brookes, Maksim Kukushkin, Majid Mirmehdi, Colleen Stephens, Paula Dieguez, Thurston C. Hicks, Sorrel Jones, Kevin Lee, Maureen S. McCarthy, Amelia Meier, Emmanuelle Normand, Erin G. Wessling, Roman M. Wittig, Kevin Langergraber, Klaus Zuberbühler, Lukas Boesch, Thomas Schmid, Mimi Arandjelovic, Hjalmar S. Kühl, Tilo Burghardt

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

PanAf20K: A Large Video Dataset for Wild Ape Detection and Behaviour Recognition.

Otto Brookes, Majid Mirmehdi, Colleen Stephens, Samuel Angedakin, Katherine Corogenes, Dervla Dowd, Paula Dieguez, Thurston C. Hicks, Sorrel Jones, Kevin Lee, Vera Leinert, Juan Lapuente, Maureen S. McCarthy, Amelia Meier, Mizuki Murai, Emmanuelle Normand, Virginie Vergnes, Erin G. Wessling, Roman M. Wittig, Kevin Langergraber, Nuria Maldonado, Xinyu Yang, Klaus Zuberbühler, Christophe Boesch, Mimi Arandjelovic, Hjalmar S. Kühl, Tilo Burghardt

Int. J. Comput. Vis., August, 2024

ChimpVLM: Ethogram-Enhanced Chimpanzee Behaviour Recognition.

Otto Brookes, Majid Mirmehdi, Hjalmar S. Kühl, Tilo Burghardt

CoRR, 2024

2023

Automatic Individual Identification of Patterned Solitary Species Based on Unlabeled Video Data.

Vanessa Suessle, Mimi Arandjelovic, Ammie K. Kalan, Anthony Agbor, Christophe Boesch, Gregory Brazzola, Tobias Deschner, Paula Dieguez, Anne-Céline Granjon, Hjalmar Kuehl, Anja Landsmann, Juan Lapuente, Nuria Maldonado, Amelia Meier, Zuzana Rockaiova, Erin G. Wessling, Roman M. Wittig, Colleen T. Downs, Andreas Weinmann, Elke Hergenröther

J. WSCG, July, 2023

Triple-stream Deep Metric Learning of Great Ape Behavioural Actions.

Otto Brookes, Majid Mirmehdi, Hjalmar S. Kühl, Tilo Burghardt

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

2022

SOCRATES: Introducing Depth in Visual Wildlife Monitoring Using Stereo Vision.

Timm Haucke, Hjalmar S. Kühl, Volker Steinhage

Sensors, 2022

Overcoming the distance estimation bottleneck in estimating animal abundance with camera traps.

Timm Haucke, Hjalmar S. Kühl, Jacqueline Hoyer, Volker Steinhage

Ecol. Informatics, 2022

SOCRATES: A Stereo Camera Trap for Monitoring of Biodiversity.

Timm Haucke, Hjalmar S. Kühl, Volker Steinhage

CoRR, 2022

2021

Compensating class imbalance for acoustic chimpanzee detection with convolutional recurrent neural networks.

Franz Anders, Ammie K. Kalan, Hjalmar S. Kühl, Mirco Fuchs

Ecol. Informatics, 2021

Overcoming the Distance Estimation Bottleneck in Camera Trap Distance Sampling.

Timm Haucke, Hjalmar S. Kühl, Jacqueline Hoyer, Volker Steinhage

CoRR, 2021

2017

Towards Automated Visual Monitoring of Individual Gorillas in the Wild.

Clemens-Alexander Brust, Tilo Burghardt, Milou Groenenberg, Christoph Käding, Hjalmar S. Kühl, Marie L. Manguette, Joachim Denzler

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates.

Alexander Freytag, Erik Rodner, Marcel Simon, Alexander Loos, Hjalmar S. Kühl, Joachim Denzler

Proceedings of the Pattern Recognition - 38th German Conference, 2016