120 citations · 395 across the 27 of their papers we have counts for
9 papers · 1 filter
Deep Learning-Based Human Pose Estimation: A Survey
Ce Zheng, Wenhan Wu, Chen Chen +5
Human pose estimation aims to locate the human body parts and build human body representation (e.g., body skeleton) from input data such as images and videos. It has drawn increasi…
A3D: Adaptive 3D Networks for Video Action Recognition
Sijie Zhu, Taojiannan Yang, Matias Mendieta +1
This paper presents A3D, an adaptive 3D network that can infer at a wide range of computational constraints with one-time training. Instead of training multiple models in a grid-se…
Cross-directional Feature Fusion Network for Building Damage Assessment from Satellite Imagery
Yu Shen, Sijie Zhu, Taojiannan Yang +1
Fast and effective responses are required when a natural disaster (e.g., earthquake, hurricane, etc.) strikes. Building damage assessment from satellite imagery is critical before…
VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval
Sijie Zhu, Taojiannan Yang, Chen Chen
Cross-view image geo-localization aims to determine the locations of street-view query images by matching with GPS-tagged reference images from aerial view. Recent works have achie…
Efficient Deep Learning of Non-local Features for Hyperspectral Image Classification
Yu Shen, Sijie Zhu, Chen Chen +4
Deep learning based methods, such as Convolution Neural Network (CNN), have demonstrated their efficiency in hyperspectral image (HSI) classification. These methods can automatical…
GradAug: A New Regularization Method for Deep Neural Networks
Taojiannan Yang, Sijie Zhu, Chen Chen
We propose a new regularization method to alleviate over-fitting in deep neural networks. The key idea is utilizing randomly transformed training samples to regularize a set of sub…
Revisiting Street-to-Aerial View Image Geo-localization and Orientation Estimation
Sijie Zhu, Taojiannan Yang, Chen Chen
Street-to-aerial image geo-localization, which matches a query street-view image to the GPS-tagged aerial images in a reference set, has attracted increasing attention recently. In…
Density Map Guided Object Detection in Aerial Images
Changlin Li, Taojiannan Yang, Sijie Zhu +2
Object detection in high-resolution aerial images is a challenging task because of 1) the large variation in object size, and 2) non-uniform distribution of objects. A common solut…
Video Anomaly Detection for Smart Surveillance
Sijie Zhu, Chen Chen, Waqas Sultani
In modern intelligent video surveillance systems, automatic anomaly detection through computer vision analytics plays a pivotal role which not only significantly increases monitori…