Recently, the latest research results of Prof. Li Tianrui’s team at the School of Computing and Artificial Intelligence were uncovered in the International Journal of Computer Vision (IJCV), a leading international journal of artificial intelligence and computer vision. Their paper, entitled “Deep Hierarchical Learning for 3D Semantic Segmentation”, introduces a deep hierarchical learning model and theoretical analysis framework for 3D Semantic Segmentation, drawing inspiration from both human cognition and the 3D world.

IJCV is one of the four Class A Artificial Intelligence journals recommended by the China Computer Federation (CCF) and is among the two most influential journals in computer vision. With a 2025 impact factor of 11.6 and an annual publication volume limited to about 170 articles, IJCV primarily focuses on fundamental research in visual intelligence.