3 papers
cs.CV2026
Shallow Deep Learning Can Still Excel in Fine-Grained Few-Shot Learning
Chaofei Qi, Chao Ye, Zhitai Liu +2
Deep learning has witnessed the extensive utilization across a wide spectrum of domains, including fine-grained few-shot learning (FGFSL) which heavily depends on deep backbones. N…
cs.CV2025
DQO-MAP: Dual Quadrics Multi-Object mapping with Gaussian Splatting
Haoyuan Li, Ziqin Ye, Yue Hao +2
Accurate object perception is essential for robotic applications such as object navigation. In this paper, we propose DQO-MAP, a novel object-SLAM system that seamlessly integrates…
cs.RO2025
MLINE-VINS: Robust Monocular Visual-Inertial SLAM With Flow Manhattan and Line Features
Chao Ye, Haoyuan Li, Weiyang Lin +1
In this paper we introduce MLINE-VINS, a novel monocular visual-inertial odometry (VIO) system that leverages line features and Manhattan Word assumption. Specifically, for line ma…