My name is Kui Zhao, and I am a PhD student specializing in Computer Vision. My research focuses on the development of Computer Vision (CV) and Explainable AI (XAI) methods for the recognition and classification of animal actions. The primary objective of my work is to enhance computer vision algorithms, such as animal detection and pose estimation, through the application of XAI to improve action classification tasks.

My research addresses several challenges prevalent in farming environments, including low visibility and variable lighting conditions. Additionally, I am involved in developing efficient data annotation techniques and transfer strategies to mitigate the limited availability of annotated training data. Key areas of my research include comparing traditional models with XAI, defining criteria for comparison, and improving XAI models for selected CV tasks.