Daniel I. Rubenstein

According to our database, Daniel I. Rubenstein authored at least 21 papers between 2011 and 2025.

Collaborative distances:

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

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, Isla Duporge, Alec Sheets, Reshma Ramesh Babu, Namrata Banerji, Elizabeth G. Campolongo, Matthew Thompson, Nina Van Tiel, Jackson Miliko, Eduardo Bessa, Majid Mirmehdi, Thomas Schmid, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Tilo Burghardt, Charles V. Stewart

Multim. Tools Appl., June, 2025

BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning.

Jianyang Gu, Samuel Stevens, 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, Hilmar Lapp, Tanya Y. Berger-Wolf, Wei-Lun Chao, Yu Su

CoRR, May, 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, May, 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, Wei-Lun Chao

CoRR, January, 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, Michelle Ramirez, Elizabeth G. Campolongo, Matthew J. Thompson, Christopher G. Lawrence, Sydne Record, Neil Rosser, Anuj Karpatne, Daniel I. Rubenstein, Hilmar Lapp, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao

CoRR, January, 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

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, Wei-Lun Chao

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

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

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

KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos.

Maksim Kholiavchenko, Jenna Kline, Michelle Ramirez, Sam Stevens, Alec Sheets, Reshma Ramesh Babu, Namrata Banerji, Elizabeth G. Campolongo, Matthew Thompson, Nina Van Tiel, Jackson Miliko, Eduardo Bessa, Isla Duporge, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

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, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel I. Rubenstein, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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, David Carlyn, Wei-Lun Chao, Charles V. Stewart, Daniel I. Rubenstein, Tanya Y. Berger-Wolf, Anuj Karpatne

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Framework for Autonomic Computing for In Situ Imageomics.

Jenna Kline, Christopher Stewart, Tanya Y. Berger-Wolf, Michelle Ramirez, Samuel Stevens, Reshma Ramesh Babu, Namrata Banerji, Alec Sheets, Sowbaranika Balasubramaniam, Elizabeth G. Campolongo, Matthew Thompson, Charles V. Stewart, Maksim Kholiavchenko, Daniel I. Rubenstein, Nina Van Tiel, Jackson Miliko

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023

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., November, 2022

Towards Individual Grevy's Zebra Identification via Deep 3D Fitting and Metric Learning.

Maria Stennett, Daniel I. Rubenstein, Tilo Burghardt

CoRR, 2022

2018

An Animal Detection Pipeline for Identification.

Jason R. Parham, Charles V. Stewart, Jonathan P. Crall, Daniel I. Rubenstein, Jason Holmberg, Tanya Y. Berger-Wolf

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

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

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

Proceedings of the 2017 AAAI Spring Symposia, 2017

2014

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

2013

HotSpotter - Patterned species instance recognition.

Jonathan P. Crall, Charles V. Stewart, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Siva R. Sundaresan

Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

2011

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

Proceedings of the 1st International Conference on Multimedia Retrieval, 2011