1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2025
FOCUS: Fine-grained Optimization with Semantic Guided Understanding for Pedestrian Attributes Recognition
Hongyan An, Kuan Zhu, Xin He +4
Pedestrian attribute recognition (PAR) is a fundamental perception task in intelligent transportation and security. To tackle this fine-grained task, most existing methods focus on…
cs.CV2024★ 1 cited
Monocular Lane Detection Based on Deep Learning: A Survey
Xin He, Haiyun Guo, Kuan Zhu +4
Lane detection plays an important role in autonomous driving perception systems. As deep learning algorithms gain popularity, monocular lane detection methods based on them have de…