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
Scan attention
沈继锋.Learning discriminative shape statistics distribution features for pedestrian detection.NEUROCOMPUTING
沈继锋.Supervised Local High-Order Differential Channel Feature Learning for Pedestrian Detection.NEURAL PROCESSING LETTERS
沈继锋.A novel pixel neighborhood differential statistic feature for pedestrian and face detection.PATTERN RECOGNITION