Ryan Farrell

According to our database, Ryan Farrell authored at least 28 papers between 2001 and 2024.

Collaborative distances:

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

2024

Elusive Images: Beyond Coarse Analysis for Fine-Grained Recognition.

Connor Anderson, Matthew Gwilliam, Evelyn Gaskin, Ryan Farrell

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

Minimizing Cycles in Reaction Systems.

Ryan Farrell, Daniela Genova, Dylan Strickley

Proceedings of the Unconventional Computation and Natural Computation, 2024

2022

Semantic Network Interpretation.

Pei Guo, Ryan Farrell

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

Improving Fractal Pre-training.

Connor Anderson, Ryan Farrell

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual Categorization.

Matthew Gwilliam, Adam Teuscher, Connor Anderson, Ryan Farrell

CoRR, 2021

Fair Comparison: Quantifying Variance in Results for Fine-grained Visual Categorization.

Matthew Gwilliam, Adam Teuscher, Connor Anderson, Ryan Farrell

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Have Fun Storming the Castle(s)!

Connor Anderson, Adam Teuscher, Elizabeth Anderson, Alysia Larsen, Josh Shirley, Ryan Farrell

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

Facing the Hard Problems in FGVC.

Connor Anderson, Matthew Gwilliam, Adam Teuscher, Andrew Merrill, Ryan Farrell

CoRR, 2020

Intelligent Image Collection: Building the Optimal Dataset.

Matthew Gwilliam, Ryan Farrell

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019

Aligned to the Object, Not to the Image: A Unified Pose-Aligned Representation for Fine-Grained Recognition.

Pei Guo, Ryan Farrell

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

A Hybrid Approach to Tiger Re-Identification.

Ankita Shukla, Connor Anderson, Gullal Singh Cheema, Pei Guo, Suguru Onda, Divyam Anshumaan, Saket Anand, Ryan Farrell

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Neural Network Interpretation via Fine Grained Textual Summarization.

Pei Guo, Connor Anderson, Kolten Pearson, Ryan Farrell

CoRR, 2018

Fine-grained Visual Categorization using PAIRS: Pose and Appearance Integration for Recognizing Subcategories.

Pei Guo, Ryan Farrell

CoRR, 2018

Pairwise Confusion for Fine-Grained Visual Classification.

Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Editorial: Special Section on deep image and video understanding.

João Paulo Papa, Ryan Farrell

Pattern Recognit., 2017

Training with Confusion for Fine-Grained Visual Classification.

Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik

CoRR, 2017

2015

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Open-vocabulary Object Retrieval.

Sergio Guadarrama, Erik Rodner, Kate Saenko, Ning Zhang, Ryan Farrell, Jeff Donahue, Trevor Darrell

Proceedings of the Robotics: Science and Systems X, 2014

2013

Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction.

Ning Zhang, Ryan Farrell, Forrest N. Iandola, Trevor Darrell

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Pose pooling kernels for sub-category recognition.

Ning Zhang, Ryan Farrell, Trevor Darrell

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Learning Visual Patterns: Imposing Order on Objects, Trajectories and Networks.

Ryan Farrell

PhD thesis, 2011

Birdlets: Subordinate categorization using volumetric primitives and pose-normalized appearance.

Ryan Farrell, Om Oza, Ning Zhang, Vlad I. Morariu, Trevor Darrell, Larry S. Davis

Proceedings of the IEEE International Conference on Computer Vision, 2011

2009

Target localization in camera wireless networks.

Ryan Farrell, Roberto García, Dennis Lucarelli, Andreas Terzis, I-Jeng Wang

Pervasive Mob. Comput., 2009

2008

Tracking Down Under: Following the Satin Bowerbird.

Aniruddha Kembhavi, Ryan Farrell, Yuancheng Luo, David W. Jacobs, Ramani Duraiswami, Larry S. Davis

Proceedings of the 9th IEEE Workshop on Applications of Computer Vision (WACV 2008), 2008

Decentralized discovery of camera network topology.

Ryan Farrell, Larry S. Davis

Proceedings of the 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008

Distributed Inference for Network Localization Using Radio Interferometric Ranging.

Dennis Lucarelli, Anshu Saksena, Ryan Farrell, I-Jeng Wang

Proceedings of the Wireless Sensor Networks, 5th European Conference, 2008

2007

Learning Higher-order Transition Models in Medium-scale Camera Networks.

Ryan Farrell, David S. Doermann, Larry S. Davis

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2001

The designers' outpost: a tangible interface for collaborative web site.

Scott R. Klemmer, Mark W. Newman, Ryan Farrell, Mark Bilezikjian, James A. Landay

Proceedings of the 14th Annual ACM Symposium on User Interface Software and Technology, 2001