Area of research
Computer Vision and Pattern Recognition · Media Technology
Research interest
Research focused on Artificial intelligence and Convolutional neural network, with related work in Drone, Computer vision, Embedding. Notable publications include 'VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results', 'A generalized least-squares approach regularized with graph embedding for dimensionality reduction', and 'MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction'.
MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction
VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results
A generalized least-squares approach regularized with graph embedding for dimensionality reduction
Detecting Maneuvering Target Accurately Based on a Two-Phase Approach From Remote Sensing Imagery
Building Regional Covariance Descriptors for Vehicle Detection
Aircraft Detection by Deep Convolutional Neural Networks