News:
The implementation of our latest research will be released soon~ [
link]
      Gaussian Process for multi-class classification toolbox is published~ [link]
      Our latest high-resolution RGBD dataset for clothes recognition is published~ [link]
  
Li Sun (Kevin)    
PhD candidate of  Computing Science, University of Glasgow. 





I am a Research Fellow in Extreme Robotics Lab, Univerisity of Birmingham. I am IEEE, BMVA, EUcog member. 

Research Statement:       

Currently, I am working on H2020 project RoMaNs. I am leading the computer vision research in this project, including 3D reconstruction, deep learning based 3D object detection and recognition, 3D tracking/pose estimation, etc. 


The objective of my PhD research is to advance the state of the art in perception and manipulation of deformable objects(such as clothes). The essence of manipulation with clothes is recognising the configuration of deformable surface and learning strategy to change the state of surface. In my PhD research, our self-designed stereo-vision system is used to produce high resolution and accuracy depth data, afterwards, a geometry-based feature framework is proposed to fully understand the configurations of the clothing using rich visual representations, and supervised learning is adapted to learning the recognition models, and non-parameterised model (GP) and reinforcement learning are employed to learn the manipulating skills. We have included this proposed pipeline in a robotic test bed used to investigate autonomous perception and manipulation of textiles and garments(European FP7 Strategic Research ProjectCloPeMa)


The laundry tasks I have involved or on-going works include: clothes grasping, clothes flattening, clothes categories/material recognition, clothes sorting, category recognition using interactive perception, clothes material recognition using deep learning, 3D laundry sense semantic parsing, and so on.
 
My previous research interest is machine learning, especially on algorithm innovation of multiple instance learning, and applying multiple instance learning algorithms to ECG classification/analysis and Image classification.

Research Interests :                                                                                                                

Computer Vision: range image analysis, deformable object manipulation, robot vision                      
Machine Learning: reinforcement learning, mutiple-instance learning