Area of research
Small Animals · Animal Science and Zoology
Research interest
Research interests include Artificial intelligence, Computer science, Segmentation, Pattern recognition (psychology), Computer vision, and Convolutional neural network.
Occlusion-robust detection of sow-induced piglet crushing incidents using spatial and motion reasoning
Peeking into the unseen: Occlusion-resistant segmentation for preweaning piglets under crushing events
Counting piglet suckling events using deep learning-based action density estimation
Spatiotemporal graph convolutional network for automated detection and analysis of social behaviours among pre-weaning piglets
Automated detection and analysis of piglet suckling behaviour using high-accuracy amodal instance segmentation
Automated detection and analysis of social behaviors among preweaning piglets using key point-based spatial and temporal features
Automated piglet tracking using a single convolutional neural network
Fast and accurate detection of lactating sow nursing behavior with CNN-based optical flow and features
Center clustering network improves piglet counting under occlusion
Cross-Modality Interaction Network for Equine Activity Recognition Using Imbalanced Multi-Modal Data
A CNN-based posture change detection for lactating sow in untrimmed depth videos
An automatic recognition framework for sow daily behaviours based on motion and image analyses
Automatic recognition of lactating sow postures by refined two-stream RGB-D faster R-CNN
Automated video analysis of sow nursing behavior based on fully convolutional network and oriented optical flow