Xiangzheng Li — accepted AI-conference papers

2026

STAR-Net: Physics Inspired Spectral Topology Aware Reconstruction Network for Single-View Fluorescence Molecular Tomography

Xiangzheng Li, Jian Zhang, Mengxiang Chu, Xiaoli Luo, Hongbo Guo, Xiaowei He

IJCAI 2026

Fluorescence molecular tomography (FMT) serves as a pivotal modality for preclinical tumor screening. While single-view FMT offers distinct advantages in data acquisition efficiency and cost-effectiveness, the scarcity of projection views severely exacerbates photon scattering-induced depth ambiguit

Cited by 0 Scholar ↗

2021

Multi-Granularity Feature Interaction and Relation Reasoning for 3D Dense Alignment and Face Reconstruction

Lei Li, Xiangzheng Li, Kangbo Wu, Kui Lin, Suping Wu

ICASSP 2021accepted

In this paper, we propose a multi-granularity feature interaction and relation reasoning network (MFIRRN) which can recover a detail-rich 3D face and perform more accurate dense alignment in an unconstrained environment. Traditional 3DMM-based methods directly regress parameters, resulting in the la…

Cited by 0 Source ↗Scholar ↗