·146· 智能系统学报 第13卷 ization[C]//Proceedings of the IEEE Conference on Com- cade face detection and alignment[C]//Proceedings of the puter Vision and Pattern Recognition.Boston,MA,USA, 13th European Conference on Computer Vision.Zurich, 2015:447-456. Switzerland,2014:109-122 [21]BODLA N,SINGH B,CHELLAPPA R,et al.Improving [30]OHN-BAR E,TRIVEDI MM.To boost or not to boost? object detection with one line of code[J].arXiv preprint On the limits of boosted trees for object detection[Cl//Pro- arXiv:1704.04503.2017. ceedings of the 23rd International Conference on Pattern [22]YANG Shuo,LUO Ping,LOY CC,et al.Wider Face:A Recognition (ICPR).Cancun,Mexico,2016:3350-3355. face detection benchmark[Cl//Proceedings of the IEEE [31]YANG Shuo,LUO Ping,LOY C C,et al.From facial parts Conference on Computer Vision and Pattern Recognition. responses to face detection:A deep learning approach[C]// Las Vegas,NV,USA,2016:5525-5533. Proceedings of the IEEE International Conference on Com- [23]JAIN V,LEARNED-MILLER E.FDDB:A benchmark for puter Vision.Santiago,Chile,2015:3676-3684. face detection in unconstrained settings[R].UMass Amh- 作者简介： erst Technical Report UMCS-2010-009.2010. 王成济，男，1993年生，硕士研究 [24]DENG Jia,DONG Wei,SOCHER R,et al.ImageNet:A 生，主要研究方向为视频目标检测和 large-scale hierarchical image database[C]//Proceedings of 图像分割。 the IEEE Conference on Computer Vision and Pattern Re- cognition.Miami,FL,USA,2009:248-255. [25]KINGMA D P,BA J L.Adam:A method for stochastic optimization[C]//Proceedings of International Conference on Learning Representations.Toronto,Canada,2015 罗志明，男，1989年生，博士研究 [26]YANG Bin,YAN Junjie,LEI Zhen,et al.Aggregate chan- 生，主要研究方向为图像分割、目标检 测、医学图像分析。发表学术论文 nel features for multi-view face detection[Cl//Proceedings 8篇。 of the 2014 IEEE International Joint Conference on Bio- metrics(IJCB).Clearwater,FL,USA,2014:1-8. [27]MARKUS N,FRLJAK M,PANDZIC I S,et al.A method for object detection based on pixel intensity comparisons organized in decision trees[J].CoRR,2014. 李绍滋，男，1963年生.教授，博 士生导师，主要研究方向为计算机视 [28]MATHIAS M,BENENSON R,PEDERSOLI M.et al. 觉、机器学习和数据挖掘。先后主持 Face detection without bells and whistles[C]//Proceedings 或参加过多项国家863项目、国家自 of the 13th European Conference on Computer Vision. 然科学基金项目、教育部博士点基金 Zurich,Switzerland,2014:720-735. 项目、省科技重点项目等多个项目的 [29]CHEN Dong,REN Shaoqing,WEI Yichen,et al.Joint cas- 研究，发表学术论文300多篇。ization[C]//Proceedings of the IEEE Conference on Com￾puter Vision and Pattern Recognition. Boston, MA, USA, 2015: 447–456. BODLA N, SINGH B, CHELLAPPA R, et al. Improving object detection with one line of code[J]. arXiv preprint arXiv: 1704.04503, 2017. [21] YANG Shuo, LUO Ping, LOY C C, et al. Wider Face: A face detection benchmark[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, NV, USA, 2016: 5525–5533. [22] JAIN V, LEARNED-MILLER E. FDDB: A benchmark for face detection in unconstrained settings[R]. UMass Amh￾erst Technical Report UMCS-2010-009, 2010. [23] DENG Jia, DONG Wei, SOCHER R, et al. ImageNet: A large-scale hierarchical image database[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Re￾cognition. Miami, FL, USA, 2009: 248–255. [24] KINGMA D P, BA J L. Adam: A method for stochastic optimization[C]//Proceedings of International Conference on Learning Representations. Toronto, Canada, 2015. [25] YANG Bin, YAN Junjie, LEI Zhen, et al. Aggregate chan￾nel features for multi-view face detection[C]//Proceedings of the 2014 IEEE International Joint Conference on Bio￾metrics (IJCB). Clearwater, FL, USA, 2014: 1–8. [26] MARKUS N, FRLJAK M, PANDZIC I S, et al. A method for object detection based on pixel intensity comparisons organized in decision trees[J]. CoRR, 2014. [27] MATHIAS M, BENENSON R, PEDERSOLI M, et al. Face detection without bells and whistles[C]//Proceedings of the 13th European Conference on Computer Vision. Zurich, Switzerland, 2014: 720–735. [28] [29] CHEN Dong, REN Shaoqing, WEI Yichen, et al. Joint cas￾cade face detection and alignment[C]//Proceedings of the 13th European Conference on Computer Vision. Zurich, Switzerland, 2014: 109–122. OHN-BAR E, TRIVEDI M M. To boost or not to boost? On the limits of boosted trees for object detection[C]//Pro￾ceedings of the 23rd International Conference on Pattern Recognition (ICPR). Cancun, Mexico, 2016: 3350–3355. [30] YANG Shuo, LUO Ping, LOY C C, et al. From facial parts responses to face detection: A deep learning approach[C]// Proceedings of the IEEE International Conference on Com￾puter Vision. Santiago, Chile, 2015: 3676–3684. [31] 作者简介： 王成济，男，1993 年生，硕士研究 生，主要研究方向为视频目标检测和 图像分割。 罗志明，男，1989 年生，博士研究 生，主要研究方向为图像分割、目标检 测、医学图像分析。发表学术论文 8 篇。 李绍滋，男，1963 年生，教授，博 士生导师，主要研究方向为计算机视 觉、机器学习和数据挖掘。先后主持 或参加过多项国家 863 项目、国家自 然科学基金项目、教育部博士点基金 项目、省科技重点项目等多个项目的 研究，发表学术论文 300 多篇。 ·146· 智 能 系 统 学 报 第 13 卷