沈继锋
个人信息
Personal information
性别:男 入职时间:2013-01-01 所在单位:电气信息工程学院 职务:副教授 学历:博士研究生毕业 学位:博士
扫描关注
Scan attention
- [1] Learning discriminative shape statistics distribution features for pedestrian detection.NEUROCOMPUTING
- [2] Supervised Local High-Order Differential Channel Feature Learning for Pedestrian Detection.NEURAL PROCESSING LETTERS
- [3] A novel pixel neighborhood differential statistic feature for pedestrian and face detection.PATTERN RECOGNITION
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