16 citations · 37 across the 7 of their papers we have counts for
8 papers
Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints
Jiachen Li, Xinwei Shi, Feiyu Chen +9
Accurate understanding and prediction of human behaviors are critical prerequisites for autonomous vehicles, especially in highly dynamic and interactive scenarios such as intersec…
FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation Framework
Santiago Castro, Ruoyao Wang, Pingxuan Huang +5
We propose fill-in-the-blanks as a video understanding evaluation framework and introduce FIBER -- a novel dataset consisting of 28,000 videos and descriptions in support of this e…
Learning Video Representations from Textual Web Supervision
Jonathan C. Stroud, Zhichao Lu, Chen Sun +4
Videos on the Internet are paired with pieces of text, such as titles and descriptions. This text typically describes the most important content in the video, such as the objects i…
Compositional Temporal Visual Grounding of Natural Language Event Descriptions
Jonathan C. Stroud, Ryan McCaffrey, Rada Mihalcea +2
Temporal grounding entails establishing a correspondence between natural language event descriptions and their visual depictions. Compositional modeling becomes central: we first g…
D3D: Distilled 3D Networks for Video Action Recognition
Jonathan C. Stroud, David A. Ross, Chen Sun +2
State-of-the-art methods for video action recognition commonly use an ensemble of two networks: the spatial stream, which takes RGB frames as input, and the temporal stream, which…
Temporal Action Localization by Structured Maximal Sums
Zehuan Yuan, Jonathan C. Stroud, Tong Lu +1
We address the problem of temporal action localization in videos. We pose action localization as a structured prediction over arbitrary-length temporal windows, where each window i…
Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences
Jacob Abernethy, Cyrus Anderson, Alex Chojnacki +8
Performing arts organizations aim to enrich their communities through the arts. To do this, they strive to match their performance offerings to the taste of those communities. Succ…
Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing
Jacob Abernethy, Cyrus Anderson, Chengyu Dai +10
Recovery from the Flint Water Crisis has been hindered by uncertainty in both the water testing process and the causes of contamination. In this work, we develop an ensemble of pre…