Yu Fang

I’m currently a first-year Ph.D. student in Computer Science at the University of North Carolina at Chapel Hill, working with Marc Niethammer and Roni Sengupta. Before that, I obtained my master’s degree in Computer Science from ShanghaiTech University, working in IDEA Lab, advised by Dinggang Shen and Zhiming Cui.

I’m broadly interested in 3D computer vision, including applications of neural rendering, generative AI for 3D content creation, and intersection with perception tasks in embodied AI and robotics.

Publications

Geometry-Aware Attenuation Field Learning for Sparse-View CBCT Reconstruction

Zhentao Liu, Yu Fang, Changjian Li, Han Wu, Yuan Liu, Zhiming Cui, Dinggang Shen.

arXiv preprint arXiv:2303.14739

[pdf]

SNAF: Sparse-view CBCT Reconstruction with Neural Attenuation Fields

Yu Fang, Lanzhuju Mei, Changjian Li, Yuan Liu, Wenping Wang, Zhiming Cui, Dinggang Shen.

arXiv preprint arXiv:2211.17048

[pdf]

Dental Anatomy Segmentation from Cone Beam CT Images

Minhui Tan, Yu Fang, Yu Zhang, Zhiming Cui, Dinggang Shen.

IEEE International Symposium on Biomedical Imaging (ISBI), 2023.

[link] [pdf]

Curvature-enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images

Yu Fang, Zhiming Cui, Lei Ma, Lanzhuju Mei, Bojun Zhang, Yue Zhao, Zhihao Jiang, Yiqiang Zhan, Yongsheng Pan, Min Zhu, Dinggang Shen.

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022.

[link] [pdf] [poster] Early Accept

A Fully Automatic AI System for Tooth and Alveolar Bone Segmentation from Cone-beam CT Images

Zhiming Cui*, Yu Fang*, Lanzhuju Mei*, Bojun Zhang*, Bo Yu, Jiameng Liu, Caiwen Jiang, Yuhang Sun, Lei Ma, Jiawei Huang, Yang Liu, Yue Zhao, Chunfeng Lian, Zhongxiang Ding, Min Zhu, Dinggang Shen.

Nature Communications, 2022.

[link] [pdf] [code]