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
- [11] Building and Climbing based Visual Navigation Framework for Self-Driving Cars,
- [12] Fast Pedestrian Detection Based on the Selective Window Differential Filter
- [13] 基于多通道图判别投影HAAR特征的多视角人脸检测
- [14] A novel pixel neighborhood differential statistic feature for pedestrian and face detection
- [15] Learning discriminative shape statistics distribution features for pedestrian detection
- [16] Supervised Local High-Order Differential Channel Feature Learning for Pedestrian Detection
- [17] Pedestrian Proposal and Refining Based on the Shared Pixel Differential Feature
- [18] Differential Features for Pedestrian Detection: A Taylor Series Perspective