Area of research
Small Animals · Geology
Research interest
Research focused on Artificial intelligence and RGB color model, with related work in Computer vision, Segmentation, Sitting. Notable publications include 'Passion fruit detection and counting based on multiple scale faster R-CNN using RGB-D images', 'Detection of passion fruits and maturity classification using Red-Green-Blue Depth images', and 'Automatic recognition of lactating sow postures from depth images by deep learning detector'.
A mango picking vision algorithm on instance segmentation and key point detection from RGB images in an open orchard
A CNN-based posture change detection for lactating sow in untrimmed depth videos
Passion fruit detection and counting based on multiple scale faster R-CNN using RGB-D images
Automatic posture change analysis of lactating sows by action localisation and tube optimisation from untrimmed depth videos
Automatic recognition of lactating sow postures by refined two-stream RGB-D faster R-CNN
Detection of passion fruits and maturity classification using Red-Green-Blue Depth images
Automatic recognition of lactating sow postures from depth images by deep learning detector
High-accuracy image segmentation for lactating sows using a fully convolutional network
A Locally Generated High‐Mode Nonlinear Internal Wave Detected on the Shelf of the Northern South China Sea From Marine Seismic Observations
Markov Chain Monte Carlo inversion of temperature and salinity structure of an internal solitary wave packet from marine seismic data
Marine seismic observation of internal solitary wave packets in the northeast <scp>S</scp>outh <scp>C</scp>hina <scp>S</scp>ea
Crust and upper mantle structure and its tectonic implications in the South China Sea and adjacent regions