Daniel I. Rubenstein

28 papers A* 3A 2B 1Journal 19Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Tracking Phenological Status and Ecological Interactions in a Hawaiian Cloud Forest Understory using Low-Cost Camera Traps and Visual Foundation Models. CoRR Luke Meyers, Anirudh Potlapally, Yuyan Chen, Mike Long, Tanya Y. Berger-Wolf, Hari Subramoni, Rémi Mégret, Daniel I. Rubenstein
2025	J	`jnl`	Adapting the Re-ID Challenge for Static Sensors. IET Comput. Vis. 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
2025	J	`jnl`	BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos. Int. J. Comput. Vis. Isla Duporge, Maksim Kholiavchenko, Roi Harel, Scott Wolf, Daniel I. Rubenstein, Margaret C. Crofoot, Tanya Y. Berger-Wolf, Stephen J. Lee, Julie Barreau, Jenna Kline, Michelle Ramirez, Charles V. Stewart
2025	J	`jnl`	BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning. CoRR 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
2025	J	`jnl`	Correction: BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos. Int. J. Comput. Vis. Isla Duporge, Maksim Kholiavchenko, Roi Harel, Scott Wolf, Daniel I. Rubenstein, Margaret C. Crofoot, Tanya Y. Berger-Wolf, Stephen J. Lee, Julie Barreau, Jenna Kline, Michelle Ramirez, Charles V. Stewart
2025	J	`jnl`	Deep dive into KABR: a dataset for understanding ungulate behavior from in-situ drone video. Multim. Tools Appl. Maksim Kholiavchenko, Jenna Kline, Maksim Kukushkin, Otto Brookes, Sam Stevens, Isla Duporge, Alec Sheets, Reshma Ramesh Babu, Namrata Banerji, Elizabeth G. Campolongo, Matthew J. Thompson, Nina Van Tiel, Jackson Miliko, Eduardo Bessa, Majid Mirmehdi, Thomas Schmid, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Tilo Burghardt, Charles V. Stewart
2025	J	`jnl`	HotSpotter - Patterned Species Instance Recognition. CoRR Jonathan P. Crall, Charles V. Stewart, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Siva R. Sundaresan
2025	J	`jnl`	Prompt-CAM: A Simpler Interpretable Transformer for Fine-Grained Analysis. CoRR 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
2025	A*	`conf`	Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis. CVPR 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
2025	J	`jnl`	Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation. CoRR 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
2025	J	`jnl`	Tracking the Flight: Exploring a Computational Framework for Analyzing Escape Responses in Plains Zebra (Equus quagga). CoRR Isla Duporge, Sofia Minano, Nikoloz Sirmpilatze, Igor Tatarnikov, Scott Wolf, Adam L. Tyson, Daniel I. Rubenstein
2025	J	`jnl`	kabr-tools: Automated Framework for Multi-Species Behavioral Monitoring. CoRR Jenna Kline, Maksim Kholiavchenko, Samuel Stevens, Nina Van Tiel, Alison Zhong, Namrata Banerji, Alec Sheets, Sowbaranika Balasubramaniam, Isla Duporge, Matthew J. Thompson, Elizabeth G. Campolongo, Jackson Miliko, Neil Rosser, Tanya Y. Berger-Wolf, Charles V. Stewart, Daniel I. Rubenstein
2024	A*	`conf`	A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. ICLR 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
2024	J	`jnl`	Adapting the re-ID challenge for static sensors. CoRR 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
2024	J	`jnl`	BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos. CoRR 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
2024	—	`conf`	KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos. WACV (Workshops) Maksim Kholiavchenko, Jenna Kline, Michelle Ramirez, Sam Stevens, Alec Sheets, Reshma Ramesh Babu, Namrata Banerji, Elizabeth G. Campolongo, Matthew J. Thompson, Nina Van Tiel, Jackson Miliko, Eduardo Bessa, Isla Duporge, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart
2023	—	`conf`	A Framework for Autonomic Computing for In Situ Imageomics. ACSOS 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 J. Thompson, Charles V. Stewart, Maksim Kholiavchenko, Daniel I. Rubenstein, Nina Van Tiel, Jackson Miliko
2023	J	`jnl`	A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. CoRR Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel I. Rubenstein, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao
2023	A*	`conf`	Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. KDD 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
2023	J	`jnl`	Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. CoRR 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
2022	J	`jnl`	Social dilemmas of sociality due to beneficial and costly contagion. PLoS Comput. Biol. Daniel B. Cooney, Dylan H. Morris, Simon A. Levin, Daniel I. Rubenstein, Pawel Romanczuk
2022	J	`jnl`	Towards Individual Grevy's Zebra Identification via Deep 3D Fitting and Metric Learning. CoRR Maria Stennett, Daniel I. Rubenstein, Tilo Burghardt
2018	A	`conf`	An Animal Detection Pipeline for Identification. WACV Jason R. Parham, Charles V. Stewart, Jonathan P. Crall, Daniel I. Rubenstein, Jason Holmberg, Tanya Y. Berger-Wolf
2017	—	`conf`	Animal Population Censusing at Scale with Citizen Science and Photographic Identification. AAAI Spring Symposia Jason Remington Parham, Jonathan P. Crall, Charles V. Stewart, Tanya Y. Berger-Wolf, Daniel I. Rubenstein
2017	J	`jnl`	Wildbook: Crowdsourcing, computer vision, and data science for conservation. CoRR 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
2014	J	`jnl`	An Extra Dimension to Decision-Making in Animals: The Three-way Trade-off between Speed, Effort per-Unit-Time and Accuracy. PLoS Comput. Biol. Adrian J. de Froment, Daniel I. Rubenstein, Simon A. Levin
2013	A	`conf`	HotSpotter - Patterned species instance recognition. WACV Jonathan P. Crall, Charles V. Stewart, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Siva R. Sundaresan
2011	B	`conf`	Biometric animal databases from field photographs: identification of individual zebra in the wild. ICMR Mayank Lahiri, Chayant Tantipathananandh, Rosemary Warungu, Daniel I. Rubenstein, Tanya Y. Berger-Wolf

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.