19 citations · 24 across the 4 of their papers we have counts for
4 papers
Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling
Xueqing Deng, Yi Zhu, Yuxin Tian +1
That most deep learning models are purely data driven is both a strength and a weakness. Given sufficient training data, the optimal model for a particular problem can be learned.…
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…