沈继锋
个人信息
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性别：男 入职时间：2013-01-01 在职信息：在本单位任职 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
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- [11] Fast Pedestrian Detection Based on the Selective Window Differential Filter.Neural Processing Letters
- [12] Classifying cracks at sub-class level in closed circuit television sewer inspection videos.Automation in Construction
- [13] 基于多通道图判别投影HAAR特征的多视角人脸检测.数据采集与处理
- [14] Supervised Local High-Order Differential Channel Feature Learning for Pedestrian Detection.NEURAL PROCESSING LETTERS
- [15] A novel pixel neighborhood differential statistic feature for pedestrian and face detection.PATTERN RECOGNITION
- [16] Learning discriminative shape statistics distribution features for pedestrian detection.NEUROCOMPUTING
- [17] Pedestrian Proposal and Refining Based on the Shared Pixel Differential Feature.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- [18] Differential Features for Pedestrian Detection: A Taylor Series Perspective.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS