Xu Han (韩旭)

Algorithm Researcher
hx (at) hihanxu.com
Sensetime Research
Hangzhou, China. My Blog

About Me

Hello! I am currently working as a CV Algorithm Researcher at SenseTime Research, SenseTime. Prior to my joining the team at SenseTime, I pursued my master's degree at The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, supervised by Prof. Bisheng Yang, who is the director of LIESMARS. My primary research interest lies in 3D computer vision, Neural Radiance Field (NeRF) and Diffusion Model, with a focus on the challenging task of 3D understanding of large-scale outdoor/indoor scenes. I am driven by an insatiable curiosity and a burning desire to push the boundaries of what is possible in the exciting realm of 3D vision. I have been fortunate enough to work on a wide range of exciting research projects, and I am constantly seeking out new challenges and opportunities to further expand my knowledge and skills. If you share a similar passion for computer vision and machine learning, please don't hesitate to get in touch with me! I would love to hear from you and explore new ideas and collaborations.


Street-view Imagery Guided Street Furniture Inventory from Mobile Laser Scanning Point Clouds
Yuzhou Zhou, Xu Han, Mingjun Peng, Haiting Li, Bo Yang, Zhen Dong, Bisheng Yang.
ISPRS Journal of Photogrammetry and Remote Sensing, 2022. (IF: 11.774)

A Point-Based Deep Learning Network for Semantic Segmentation of MLS Point Clouds
Xu Han, Zhen Dong, Bisheng Yang.
ISPRS Journal of Photogrammetry and Remote Sensing, 2021. (IF: 11.774)

Point Cloud Benchmark Dataset WHU-TLS and WHU-MLS for Deep Learning
Bisheng Yang, Xu Han, Zhen Dong.
National Remote Sensing Bulletin, 2021.

A Deep Learning Network for Semantic Labeling of Large-Scale Urban Point Clouds
Bisheng Yang, Xu Han, Zhen Dong.
Acta Geodaetica et Cartographica Sinica, 2021.

An Automatic Extraction Method of Structured Road Features for MLS Data
Xu Han, Xinmei Liang.
Mapping Bulletin, 2018 (12): 87-90 + 100.

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