Jonathan C. Stroud

According to our database, Jonathan C. Stroud authored at least 11 papers between 2016 and 2022.

Collaborative distances:

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

2022

FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation Framework.

Santiago Castro, Ruoyao Wang, Pingxuan Huang, Ian Stewart, Oana Ignat, Nan Liu, Jonathan C. Stroud, Rada Mihalcea

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Fill-in-the-blank as a Challenging Video Understanding Evaluation Framework.

Santiago Castro, Ruoyao Wang, Pingxuan Huang, Ian Stewart, Nan Liu, Jonathan C. Stroud, Rada Mihalcea

CoRR, 2021

2020

Understanding Human Actions in Video.

Jonathan C. Stroud

PhD thesis, 2020

Learning Video Representations from Textual Web Supervision.

Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar, Cordelia Schmid

CoRR, 2020

D3D: Distilled 3D Networks for Video Action Recognition.

Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar

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

LifeQA: A Real-life Dataset for Video Question Answering.

Santiago Castro, Mahmoud Azab, Jonathan C. Stroud, Cristina Noujaim, Ruoyao Wang, Jia Deng, Rada Mihalcea

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019

Compositional Temporal Visual Grounding of Natural Language Event Descriptions.

Jonathan C. Stroud, Ryan McCaffrey, Rada Mihalcea, Jia Deng, Olga Russakovsky

CoRR, 2019

2018

The Michigan Data Science Team: A Data Science Education Program with Significant Social Impact.

Arya Farahi, Jonathan C. Stroud

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

Temporal Action Localization by Structured Maximal Sums.

Ze-Huan Yuan, Jonathan C. Stroud, Tong Lu, Jia Deng

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing.

Jacob D. Abernethy, Cyrus Anderson, Chengyu Dai, Arya Farahi, Linh Nguyen, Adam Rauh, Eric M. Schwartz, Wenbo Shen, Guangsha Shi, Jonathan C. Stroud, Xinyu Tan, Jared Webb, Sheng Yang

CoRR, 2016

Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences.

Jacob D. Abernethy, Cyrus Anderson, Alex Chojnacki, Chengyu Dai, John Dryden, Eric M. Schwartz, Wenbo Shen, Jonathan C. Stroud, Laura Wendlandt, Sheng Yang, Daniel T. Zhang

CoRR, 2016