565 citations · 1.1k across the 27 of their papers we have counts for
5 papers · 1 filter
Efficient Action Detection in Untrimmed Videos via Multi-Task Learning
Yi Zhu, Shawn Newsam
This paper studies the joint learning of action recognition and temporal localization in long, untrimmed videos. We employ a multi-task learning framework that performs the three h…
Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval
Weixun Zhou, Shawn Newsam, Congmin Li +1
Learning powerful feature representations for image retrieval has always been a challenging task in the field of remote sensing. Traditional methods focus on extracting low-level h…
Spatio-Temporal Sentiment Hotspot Detection Using Geotagged Photos
Yi Zhu, Shawn Newsam
We perform spatio-temporal analysis of public sentiment using geotagged photo collections. We develop a deep learning-based classifier that predicts the emotion conveyed by an imag…
Land Use Classification using Convolutional Neural Networks Applied to Ground-Level Images
Yi Zhu, Shawn Newsam
Land use mapping is a fundamental yet challenging task in geographic science. In contrast to land cover mapping, it is generally not possible using overhead imagery. The recent, ex…
Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition
Yi Zhu, Shawn Newsam
This paper performs the first investigation into depth for large-scale human action recognition in video where the depth cues are estimated from the videos themselves. We develop a…