Genevieve Patterson

According to our database, Genevieve Patterson authored at least 15 papers between 2012 and 2024.

Collaborative distances:

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

2024

FathomVerse: A community science dataset for ocean animal discovery.

Genevieve Patterson, Joost Daniels, Benjamin G. Woodward, Kevin Barnard, Giovanna Sainz, Lonny Lundsten, Kakani Katija

CoRR, 2024

Sustaining Scalable Sustainability: Human-Centered Green Technology for Community-wide Carbon Reduction.

Vikram Mohanty, Jingchao Fang, Song Mi Lee-Kan, Hamed S. Alavi, Joaquín Salas, Genevieve Patterson, Elizabeth F. Churchill, Charlene C. Wu, David A. Shamma

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023

The FathomNet2023 Competition Dataset.

Eric C. Orenstein, Kevin Barnard, Lonny Lundsten, Genevieve Patterson, Benjamin G. Woodward, Kakani Katija

CoRR, 2023

Using fNIRS To Understand Adults' Empathy for Children in AI and Cybersecurity Scenarios.

Mohsena Ashraf, Genevieve Patterson, Zachary Kilhoffer, Xu Han, Nolan Brady, Anna Rahn, Nikhitha Atluri, Violet Oliver, Yun Huang, Yang Wang, Pilyoung Kim, Tom Yeh

Proceedings of the 22nd Annual ACM Interaction Design and Children Conference, 2023

2019

RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks.

Dylan Cashman, Genevieve Patterson, Abigail Mosca, Nathan Watts, Shannon Robinson, Remco Chang

CoRR, 2019

Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops.

Limor Gultchin, Genevieve Patterson, Nancy Baym, Nathaniel Swinger, Adam Kalai

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation.

Jimmy Wu, Bolei Zhou, Diondra Peck, Scott Hsieh, Vandana Dialani, Lester W. Mackey, Genevieve Patterson

CoRR, 2018

RNNbow: Visualizing Learning Via Backpropagation Gradients in RNNs.

Dylan Cashman, Genevieve Patterson, Abigail Mosca, Nathan Watts, Shannon Robinson, Remco Chang

IEEE Computer Graphics and Applications, 2018

Expert identification of visual primitives used by CNNs during mammogram classification.

Jimmy Wu, Diondra Peck, Scott Hsieh, Vandana Dialani, Constance D. Lehman, Bolei Zhou, Vasilis Syrgkanis, Lester W. Mackey, Genevieve Patterson

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Crowd-Guided Ensembles: How Can We Choreograph Crowd Workers for Video Segmentation?

Alexandre Kaspar, Genevieve Patterson, Changil Kim, Yagiz Aksoy, Wojciech Matusik, Mohamed A. Elgharib

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2016

Collective Insight: Crowd-driven Image Understanding.

Genevieve Patterson

PhD thesis, 2016

COCO Attributes: Attributes for People, Animals, and Objects.

Genevieve Patterson, James Hays

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Tropel: Crowdsourcing Detectors with Minimal Training.

Genevieve Patterson, Grant Van Horn, Serge J. Belongie, Pietro Perona, James Hays

Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

2014

The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding.

Genevieve Patterson, Chen Xu, Hang Su, James Hays

Int. J. Comput. Vis., 2014

2012

SUN attribute database: Discovering, annotating, and recognizing scene attributes.

Genevieve Patterson, James Hays

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