Area of research
Aerospace Engineering · Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Artificial intelligence, Graph, Absolute (philosophy), Artificial neural network, and Image fusion.
GND-APR: Absolute pose regressor with graph neural diffusion for self-driving
Multi-Scale Progressive Fusion Network for Low-Light Image Enhancement
SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds
Unsupervised Monocular Visual Odometry Based on Confidence Evaluation
Unsupervised Learning of Depth, Optical Flow and Pose With Occlusion From 3D Geometry
Coupled task scheduling for heterogeneous multi-robot system of two robot types performing complex-schedule order fulfillment tasks
Adaptive Visual Servoing of Contour Features