![Jinlai Ning](/newimages/person-profile/2022b/jinlai-ning.x4c451faf.jpg?w=232&h=232&crop=160,160,47,28&f=webp)
Biography
Jinlai Ning is a PhD candidate in the Department of Informatics at King’s College London, working in the field of Computer Vision.
His research aims to improve essential tiny/small object detection in aerial images and monitoring cameras. On top of his research, Jinlai is a Graduate Teaching Assistant on the Computer Vision module. Prior to this, Jinlai obtained a MSc degree in Artificial Intelligence at King’s College London.
Research interests
- Tiny/small object detection
- Anomaly detection
Thesis title
Methods to improve feature extraction for tiny object detection
Principal Supervisor: Dr Letizia Gionfrida
Secondary Supervisor: Dr Michael Spratling
Research
![DAFM - modelling with big data - main image](/newimages/main/dafm-modelling-with-big-data-main-image.xc246eea8.png?crop=780,440,0,5&width=380&height=215&fit=crop&f=webp)
Algorithms and Data Analysis
The group develops algorithmic solutions and concrete implementations for various applications.
Research
![DAFM - modelling with big data - main image](/newimages/main/dafm-modelling-with-big-data-main-image.xc246eea8.png?crop=780,440,0,5&width=380&height=215&fit=crop&f=webp)
Algorithms and Data Analysis
The group develops algorithmic solutions and concrete implementations for various applications.