Yusheng Li — accepted AI-conference papers

2026

LiteSense: Lifting Lightweight ToF with RGB for High-Resolution Metric Depth Estimation

Yusheng Li, Lizhi Lou, Yan Tang, Zekai Miao, Shaoming Zhang, Jianmei Wang

CVPR 2026

Metric depth estimation aims to recover depth maps with absolute scale, high resolution, and cross-scene consistency from visual observations. Existing approaches either rely on large-scale models or costly sensors to preserve metric accuracy and generalization, both ill-suited to resource-constrain

Cited by 0 Source ↗Scholar ↗

2020

Genetic Algorithm Optimized Support Vector Machine in NOMA-based Satellite Networks with Imperfect CSI

Xiaojuan Yan, Kang An, Cheng-Xiang Wang, Wei-Ping Zhu, Yusheng Li, Zhiqiang Feng

ICASSP 2020accepted

With the help of a power-domain non-orthogonal multiple access (NOMA) scheme, satellite networks can simultaneously serve multiple users within limited time/spectrum resource block. However, the existence of channel estimation errors inevitably degrade the judgment on users' channel state informatio…

Cited by 5 Source ↗Scholar ↗