Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints

no code implementations • 1 Jun 2023 • Jiachen Li, Xinwei Shi, Feiyu Chen, Jonathan Stroud, Zhishuai Zhang, Tian Lan, Junhua Mao, Jeonhyung Kang, Khaled S. Refaat, Weilong Yang, Eugene Ie, CongCong Li

Accurate understanding and prediction of human behaviors are critical prerequisites for autonomous vehicles, especially in highly dynamic and interactive scenarios such as intersections in dense urban areas.

Action Recognition Autonomous Vehicles +3

LifeQA: A Real-life Dataset for Video Question Answering

1 code implementation • LREC 2020 • Santiago Castro, Mahmoud Azab, Jonathan Stroud, Cristina Noujaim, Ruoyao Wang, Jia Deng, Rada Mihalcea

We introduce LifeQA, a benchmark dataset for video question answering that focuses on day-to-day real-life situations.

Multiple-choice Question Answering +1

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

no code implementations • 30 Sep 2016 • Jacob Abernethy, Cyrus Anderson, Alex Chojnacki, Chengyu Dai, John Dryden, Eric Schwartz, Wenbo Shen, Jonathan Stroud, Laura Wendlandt, Sheng Yang, Daniel Zhang

Performing arts organizations aim to enrich their communities through the arts.

BIG-bench Machine Learning Collaborative Filtering +1

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

no code implementations • 30 Sep 2016 • Jacob Abernethy, Cyrus Anderson, Chengyu Dai, Arya Farahi, Linh Nguyen, Adam Rauh, Eric Schwartz, Wenbo Shen, Guangsha Shi, Jonathan Stroud, Xinyu Tan, Jared Webb, Sheng Yang

In this analysis, we find that lead service lines are not the only factor that is predictive of the risk of lead contamination of water.