名:吕彦锋


        称:副研究员


    联系电话:010-82544625


    电子邮件:yanfeng.lv@ia.ac.cn


    联系地址:北京市海淀区中关村东路95号

    邮政编码:100190



[1] Yanfeng Lu, Lihao Jia, Hong Qiao, et.al, “Enhanced Biologically Inspired Model for Image Recognition Based on a Novel Patch Selection Method with Moment,” International Journal on Wavelet, Multiresolution, and Information Processing, DOI.org/10.1142/S0219691319400071. (SCI)
[2] Yanfeng Lu, Hong Qiao, Lihao Jia, et.al, “Image Recommendation based on a Novel Biologically Inspired Hierarchical Model,” Multimedia Tools and Applications, 2018, 77 (4) :4323-4337. (SCI)
[3] Yanfeng Lu, Hong Qiao, Yi Li, et.al, “A Novel Biologically Inspired Hierarchical Model for Image Recommendation,” 14th International Symposium on Neural Networks, Sapporo, Japan, 2017. (EI)
[4] Yanfeng Lu, Huazhen Zhang, et.al, “Dominant Orientation Patch Matching for HMAX,” in Neurocomputing, 2016. 193:155-166. (SCI)
[5] Yanfeng Lu, Taekoo Kang, et.al. "Enhanced hierarchical model of object recognition based on a novel patch selection method in salient regions," Computer Vision, IET, 2015, 9(5): 663-672. (SCI)
[6] Yanfeng Lu, Myotaeg Lim, et.al. "Extended Biologically Inspired Model for Object Recognition Based on Oriented Gaussian-Hermite Moment," Neurocomputing, 2014. 139(2): 189-201. (SCI)
[7] Yanfeng Lu, Huazhen Zhang, Myotaeg Lim, et.al. "A Novel Patch Selection Method in Salient Regions of Object recognition," 30th Korean Conference of Institute of Control, Robotics and Systems, Seoul, South Korea, 2015.4.22-4.25.
[8] Huazhen Zhang, Yanfeng Lu, Taekoo Kang, et.al. "B-HMAX: A fast Binary Biologically Inspired Model for Object Recognition," Neurocomputing, 2016. 218: 242-250. (SCI)
[9] Doyoung Lee, Yanfeng Lu, Myotaeg Lim, et.al. "3-D Vision Based Local Obstacle Avoidance Method for Humanoid Robot," 2012 International Conference on Controls Automation and Systems, Jeju,South Korea, 2012.10.20-10.23. (EI)
[10] Taekoo. Kang, Huazhen Zhang, Yanfeng Lu, and Myotaeg Lim, "A fast Binary Biologically Inspired Model for Object Recognition," 30th Korean Conference of Institute of Control, Robotics and Systems, Seoul, South Korea, 2015.4.22-4.25. (EI)

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