Biometric animal databases from field photographs: identification of individual zebra in the wild. - Mayank Lahiri; Chayant Tantipathananandh; Rosemary Warungu; Daniel I. Rubenstein; Tanya Y. Berger-Wolf (ICMR, 2011)

HotSpotter - Patterned species instance recognition. - Jonathan P. Crall; Charles V. Stewart; Tanya Y. Berger-Wolf; Daniel I. Rubenstein; Siva R. Sundaresan (WACV, 2013)

An Extra Dimension to Decision-Making in Animals: The Three-way Trade-off between Speed, Effort per-Unit-Time and Accuracy. - Adrian J. de Froment; Daniel I. Rubenstein; Simon A. Levin (PLoS Comput. Biol., 2014)

Animal Population Censusing at Scale with Citizen Science and Photographic Identification. - Jason Remington Parham; Jonathan P. Crall; Charles V. Stewart; Tanya Y. Berger-Wolf; Daniel I. Rubenstein (AAAI Spring Symposia, 2017)

Wildbook: Crowdsourcing, computer vision, and data science for conservation. - Tanya Y. Berger-Wolf; Daniel I. Rubenstein; Charles V. Stewart; Jason A. Holmberg; Jason R. Parham; Sreejith Menon; Jonathan P. Crall; Jon Van Oast; Emre Kiciman; Lucas Joppa (CoRR, 2017)

An Animal Detection Pipeline for Identification. - Jason R. Parham; Charles V. Stewart; Jonathan P. Crall; Daniel I. Rubenstein; Jason Holmberg; Tanya Y. Berger-Wolf (WACV, 2018)

Towards Individual Grevy's Zebra Identification via Deep 3D Fitting and Metric Learning. - Maria Stennett; Daniel I. Rubenstein; Tilo Burghardt (CoRR, 2022)

Social dilemmas of sociality due to beneficial and costly contagion. - Daniel B. Cooney; Dylan H. Morris; Simon A. Levin; Daniel I. Rubenstein; Pawel Romanczuk (PLoS Comput. Biol., 2022)

A Framework for Autonomic Computing for In Situ Imageomics. - Jenna Kline; Christopher Stewart; Tanya Y. Berger-Wolf; Michelle Ramirez; Samuel Stevens 001; Reshma Ramesh Babu; Namrata Banerji; Alec Sheets; Sowbaranika Balasubramaniam; Elizabeth G. Campolongo; Matthew Thompson; Charles V. Stewart; et al. (ACSOS, 2023)

Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. - Mohannad Elhamod; Mridul Khurana; Harish Babu Manogaran; Josef C. Uyeda; Meghan A. Balk; Wasila M. Dahdul; Yasin Bakis; Henry L. Bart Jr.; Paula M. Mabee; Hilmar Lapp; James P. Balhoff; Caleb Charpentier; et al. (KDD, 2023)

A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. - Dipanjyoti Paul; Arpita Chowdhury; Xinqi Xiong; Feng-Ju Chang; David Edward Carlyn; Samuel Stevens 001; Kaiya Provost; Anuj Karpatne; Bryan Carstens; Daniel I. Rubenstein; Charles V. Stewart; Tanya Y. Berger-Wolf; et al. (ICLR, 2024)

KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos. - Maksim Kholiavchenko; Jenna Kline; Michelle Ramirez; Sam Stevens 001; Alec Sheets; Reshma Ramesh Babu; Namrata Banerji; Elizabeth G. Campolongo; Matthew Thompson; Nina Van Tiel; Jackson Miliko; Eduardo Bessa; et al. (WACV (Workshops), 2024)

BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos. - Isla Duporge; Maksim Kholiavchenko; Roi Harel; Scott Wolf; Daniel I. Rubenstein; Meg Crofoot; Tanya Y. Berger-Wolf; Stephen Lee; Julie Barreau; Jenna Kline; Michelle Ramirez; Charles V. Stewart (CoRR, 2024)

Adapting the re-ID challenge for static sensors. - Avirath Sundaresan; Jason R. Parham; Jonathan P. Crall; Rosemary Warungu; Timothy Muthami; Margaret Mwangi; Jackson Miliko; Jason Holmberg; Tanya Y. Berger-Wolf; Daniel I. Rubenstein; Charles V. Stewart; Sara Beery (CoRR, 2024)

Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis. - Arpita Chowdhury; Dipanjyoti Paul; Zheda Mai; Jianyang Gu; Ziheng Zhang; Kazi Sajeed Mehrab; Elizabeth G. Campolongo; Daniel I. Rubenstein; Charles V. Stewart; Anuj Karpatne; Tanya Y. Berger-Wolf; Yu Su 001; et al. (CVPR, 2025)

Adapting the Re-ID Challenge for Static Sensors. - Avirath Sundaresan; Jason Parham; Jonathan P. Crall; Rosemary Warungu; Timothy Muthami; Jackson Miliko; Margaret Mwangi; Jason Holmberg; Tanya Y. Berger-Wolf; Daniel I. Rubenstein; Charles V. Stewart; Sara Beery (IET Comput. Vis., 2025)

Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation. - Zhenyang Feng; Zihe Wang; Saul Ibaven Bueno; Tomasz Frelek; Advikaa Ramesh; Jingyan Bai; Lemeng Wang; Zanming Huang; Jianyang Gu; Jinsu Yoo; Tai-Yu Pan; Arpita Chowdhury; et al. (CoRR, 2025)

Prompt-CAM: A Simpler Interpretable Transformer for Fine-Grained Analysis. - Arpita Chowdhury; Dipanjyoti Paul; Zheda Mai; Jianyang Gu; Ziheng Zhang; Kazi Sajeed Mehrab; Elizabeth G. Campolongo; Daniel I. Rubenstein; Charles V. Stewart; Anuj Karpatne; Tanya Y. Berger-Wolf; Yu Su 001; et al. (CoRR, 2025)

Tracking the Flight: Exploring a Computational Framework for Analyzing Escape Responses in Plains Zebra (Equus quagga). - Isla Duporge; Sofia Minano; Nikoloz Sirmpilatze; Igor Tatarnikov; Scott Wolf; Adam L. Tyson; Daniel I. Rubenstein (CoRR, 2025)

BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning. - Jianyang Gu; Samuel Stevens 001; Elizabeth G. Campolongo; Matthew J. Thompson; Net Zhang; Jiaman Wu; Andrei Kopanev; Zheda Mai; Alexander E. White; James P. Balhoff; Wasila M. Dahdul; Daniel I. Rubenstein; et al. (CoRR, 2025)

Deep dive into KABR: a dataset for understanding ungulate behavior from in-situ drone video. - Maksim Kholiavchenko; Jenna Kline; Maksim Kukushkin; Otto Brookes; Sam Stevens 001; Isla Duporge; Alec Sheets; Reshma Ramesh Babu; Namrata Banerji; Elizabeth G. Campolongo; Matthew Thompson; Nina Van Tiel; et al. (Multim. Tools Appl., 2025)