沈继锋
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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
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- [11] Supervised Local High-Order Differential Channel Feature Learning for Pedestrian Detection
- [12] A novel pixel neighborhood differential statistic feature for pedestrian and face detection
- [13] Learning discriminative shape statistics distribution features for pedestrian detection
- [14] Pedestrian Proposal and Refining Based on the Shared Pixel Differential Feature
- [15] Differential Features for Pedestrian Detection: A Taylor Series Perspective