Xiangzeng Liu — accepted AI-conference papers

2025

PointSR: Self-Regularized Point Supervision for Drone-View Object Detection

Weizhuo Li, Yue Xi, Wenjing Jia, Zehao Zhang, Fei Li, Xiangzeng Liu +1

CVPR 2025poster

Point-Supervised Object Detection (PSOD) in a discriminative style has recently gained significant attention for its impressive detection performance and cost-effectiveness. However, accurately predicting high-quality pseudo-box labels for drone-view images, which often feature densely packed small…

Cited by 0 Source ↗PDF ↗Scholar ↗

2025

SGAD: Semantic and Geometric-aware Descriptor for Local Feature Matching

Xiangzeng Liu, Chi Wang, Guanglu Shi, Xiaodong Zhang, Qiguang Miao, Miao Fan

ICCV 2025poster

Local feature matching remains a fundamental challenge in computer vision. Recent Area to Point Matching (A2PM) methods have improved matching accuracy. However, existing research based on this framework relies on inefficient pixel-level comparisons and complex graph matching that limit scalability.…

Cited by 0 Source ↗PDF ↗Scholar ↗