Jonathan Stroud
Jonathan Stroud
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D3d: Distilled 3d networks for video action recognition
J Stroud, D Ross, C Sun, J Deng, R Sukthankar
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
Temporal action localization by structured maximal sums
Z Yuan, JC Stroud, T Lu, J Deng
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Learning video representations from textual web supervision
JC Stroud, Z Lu, C Sun, J Deng, R Sukthankar, C Schmid, DA Ross
arXiv preprint arXiv:2007.14937, 2020
LifeQA: A real-life dataset for video question answering
S Castro, M Azab, J Stroud, C Noujaim, R Wang, J Deng, R Mihalcea
Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020
Flint water crisis: data-driven risk assessment via residential water testing
J Abernethy, C Anderson, C Dai, A Farahi, L Nguyen, A Rauh, E Schwartz, ...
arXiv preprint arXiv:1610.00580, 2016
Fiber: Fill-in-the-blanks as a challenging video understanding evaluation framework
S Castro, R Wang, P Huang, I Stewart, O Ignat, N Liu, JC Stroud, ...
arXiv preprint arXiv:2104.04182, 2021
The Michigan data science team: A data science education program with significant social impact
A Farahi, JC Stroud
2018 IEEE Data Science Workshop (DSW), 120-124, 2018
Compositional temporal visual grounding of natural language event descriptions
JC Stroud, R McCaffrey, R Mihalcea, J Deng, O Russakovsky
arXiv preprint arXiv:1912.02256, 2019
Fill-in-the-blank as a challenging video understanding evaluation framework
S Castro, R Wang, P Huang, I Stewart, N Liu, J Stroud, R Mihalcea
CVPR, 2021
Understanding Blight Ticket Compliance in Detroit
A Cell, BR Jalli, A Rauh, X Tan, J Webb, J Bochu, A Farahi, D Koutra, ...
Data science in service of performing arts: Applying machine learning to predicting audience preferences
J Abernethy, C Anderson, A Chojnacki, C Dai, J Dryden, E Schwartz, ...
arXiv preprint arXiv:1611.05788, 2016
Understanding Human Actions in Video
J Stroud
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