Automatic recognition of isolated piglet outliers based on multi-object tracking.

Occlusion-robust detection of sow-induced piglet crushing incidents using spatial and motion reasoning.

An automatic tracking method for fruit abscission of litchi using convolutional networks.

Peeking into the unseen: Occlusion-resistant segmentation for preweaning piglets under crushing events.

Automated Video Analysis of the Specific Effects of the Size and Concentration of Polystyrene Microplastics on the Swimming Behavior of the Crucian Carp (Carassius carassius).

Counting piglet suckling events using deep learning-based action density estimation.

Citrus Diseases and Pests Detection Model Based on Self-Attention YOLOV8.

Automated detection and analysis of piglet suckling behaviour using high-accuracy amodal instance segmentation.

A CNN-based posture change detection for lactating sow in untrimmed depth videos.

Center clustering network improves piglet counting under occlusion.

Automated detection and analysis of social behaviors among preweaning piglets using key point-based spatial and temporal features.

Fast and accurate detection of lactating sow nursing behavior with CNN-based optical flow and features.

Automated video analysis of sow nursing behavior based on fully convolutional network and oriented optical flow.

Automatic recognition of lactating sow postures from depth images by deep learning detector.

The Sink Node Placement and Performance Implication in Mobile Sensor Networks.