About

KigLand Machine Learning Group (abbreviated as KigML) is a research group at KigLand. We are dedicated to explore anime-related Machine Learning methods. Our research interest mainly focuses on:

• Computer Vision - in particular in modelling anime-related assets.
• Multi-Modality LM - by using VLM and other modalities for anime-related tasks.
• Empirical Deep Learning – application of deep learning in real-world problems.

Leads

Member Background

Our members have global background including Imperial College London and Harbin Institute of Technology.