The designers' outpost: a tangible interface for collaborative web site. - Scott R. Klemmer; Mark W. Newman; Ryan Farrell; Mark Bilezikjian; James A. Landay (UIST, 2001)

Learning Higher-order Transition Models in Medium-scale Camera Networks. - Ryan Farrell; David S. Doermann; Larry S. Davis (ICCV, 2007)

Distributed Inference for Network Localization Using Radio Interferometric Ranging. - Dennis Lucarelli; Anshu Saksena; Ryan Farrell; I-Jeng Wang (EWSN, 2008)

Decentralized discovery of camera network topology. - Ryan Farrell; Larry S. Davis (ICDSC, 2008)

Tracking Down Under: Following the Satin Bowerbird. - Aniruddha Kembhavi; Ryan Farrell; Yuancheng Luo; David W. Jacobs; Ramani Duraiswami; Larry S. Davis (WACV, 2008)

Target localization in camera wireless networks. - Ryan Farrell; Roberto García 002; Dennis Lucarelli; Andreas Terzis; I-Jeng Wang (Pervasive Mob. Comput., 2009)

Birdlets: Subordinate categorization using volumetric primitives and pose-normalized appearance. - Ryan Farrell; Om Oza; Ning Zhang 014; Vlad I. Morariu; Trevor Darrell; Larry S. Davis (ICCV, 2011)

Learning Visual Patterns: Imposing Order on Objects, Trajectories and Networks. - Ryan Farrell (2011)

Pose pooling kernels for sub-category recognition. - Ning Zhang 014; Ryan Farrell; Trevor Darrell (CVPR, 2012)

Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction. - Ning Zhang 014; Ryan Farrell; Forrest N. Iandola; Trevor Darrell (ICCV, 2013)

Open-vocabulary Object Retrieval. - Sergio Guadarrama; Erik Rodner; Kate Saenko; Ning Zhang 014; Ryan Farrell; Jeff Donahue; Trevor Darrell (Robotics: Science and Systems, 2014)

Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection. - Grant Van Horn; Steve Branson; Ryan Farrell; Scott Haber; Jessie Barry; Panos Ipeirotis; Pietro Perona; Serge J. Belongie (CVPR, 2015)

Training with Confusion for Fine-Grained Visual Classification. - Abhimanyu Dubey; Otkrist Gupta; Pei Guo; Ramesh Raskar; Ryan Farrell; Nikhil Naik 003 (CoRR, 2017)

Editorial: Special Section on deep image and video understanding. - João Paulo Papa; Ryan Farrell (Pattern Recognit., 2017)

Pairwise Confusion for Fine-Grained Visual Classification. - Abhimanyu Dubey; Otkrist Gupta; Pei Guo; Ramesh Raskar; Ryan Farrell; Nikhil Naik 003 (ECCV (12), 2018)

Fine-grained Visual Categorization using PAIRS: Pose and Appearance Integration for Recognizing Subcategories. - Pei Guo; Ryan Farrell (CoRR, 2018)

Neural Network Interpretation via Fine Grained Textual Summarization. - Pei Guo; Connor Anderson 001; Kolten Pearson; Ryan Farrell (CoRR, 2018)

A Hybrid Approach to Tiger Re-Identification. - Ankita Shukla; Connor Anderson 001; Gullal Singh Cheema; Pei Guo; Suguru Onda; Divyam Anshumaan; Saket Anand; Ryan Farrell (ICCV Workshops, 2019)

Aligned to the Object, Not to the Image: A Unified Pose-Aligned Representation for Fine-Grained Recognition. - Pei Guo; Ryan Farrell (WACV, 2019)

Intelligent Image Collection: Building the Optimal Dataset. - Matthew Gwilliam; Ryan Farrell (WACV, 2020)

Facing the Hard Problems in FGVC. - Connor Anderson 001; Matthew Gwilliam; Adam Teuscher; Andrew Merrill; Ryan Farrell (CoRR, 2020)

Have Fun Storming the Castle(s)! - Connor Anderson 001; Adam Teuscher; Elizabeth Anderson; Alysia Larsen; Josh Shirley; Ryan Farrell (WACV, 2021)

Fair Comparison: Quantifying Variance in Results for Fine-grained Visual Categorization. - Matthew Gwilliam; Adam Teuscher; Connor Anderson 001; Ryan Farrell (WACV, 2021)

Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual Categorization. - Matthew Gwilliam; Adam Teuscher; Connor Anderson 001; Ryan Farrell (CoRR, 2021)

Improving Fractal Pre-training. - Connor Anderson 001; Ryan Farrell (WACV, 2022)

Semantic Network Interpretation. - Pei Guo; Ryan Farrell (WACV (Workshops), 2022)

Minimizing Cycles in Reaction Systems. - Ryan Farrell; Daniela Genova; Dylan Strickley (UCNC, 2024)

Elusive Images: Beyond Coarse Analysis for Fine-Grained Recognition. - Connor Anderson 001; Matthew Gwilliam; Evelyn Gaskin; Ryan Farrell (WACV, 2024)

The FineView Dataset: A 3D Scanned Multi-View Object Dataset of Fine-Grained Category Instances. - Suguru Onda; Ryan Farrell (WACV, 2025)

LMPNet for Weakly-supervised Keypoint Discovery. - Pei Guo; Ryan Farrell (CoRR, 2025)