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CRAFT Objects from Images 会议论文
IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR2016), Las Vegas, June 26-July 1, 2016
作者:  Bin Yang;  Zhen Lei;  Stan Z. Li
收藏  |  浏览/下载:84/0  |  提交时间:2019/01/11
Embedding Deep Metric for Person Re-identification: A Study Against Large Variations 会议论文
Lecture Notes in Computer Science, Amsterdam, Oct. 8-16, 2016
作者:  Hailin Shi;  Yang Yang;  Xiangyu Zhu;  Shengcai Liao;  Zhen Lei;  Weishi Zheng;  Stan Z. Li
收藏  |  浏览/下载:120/0  |  提交时间:2019/01/11
Age Estimation based on Multi-Region Convolutional Neural Network 会议论文
, Chengdu, Oct. 14-16, 2016
作者:  Ting Liu;  Jun Wan;  Tingzhao Yu;  Zhen Lei;  Stan Z. Li
收藏  |  浏览/下载:180/0  |  提交时间:2018/01/05
ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition 会议论文
, Las Vegas, USA, June 26 2016-July 1 2016
作者:  Jun Wan;  Stan Z. Li;  Yibing Zhao;  Shuai Zhou;  Isabelle Guyon;  Sergio Escalera
Adobe PDF(1695Kb)  |  收藏  |  浏览/下载:396/117  |  提交时间:2017/09/13
Age Estimation Based on a Single Network with Soft Softmax of Aging Modeling 会议论文
, Taipei, Taiwan, November 20-24, 2016
作者:  Zichang Tan;  Shuai Zhou;  Jun Wan;  Zhen Lei;  Stan Z. Li
Adobe PDF(2273Kb)  |  收藏  |  浏览/下载:330/122  |  提交时间:2017/09/13
Learning Discriminative Features with Class Encoder 会议论文
, Las Vegas, USA, 2016
作者:  Shi HL(石海林);  Zhu XY(朱翔昱);  Lei Z(雷震);  Liao SC(廖胜才);  Li ZQ(李子青)
Adobe PDF(1347Kb)  |  收藏  |  浏览/下载:307/109  |  提交时间:2017/06/14
Embedding Deep Metric for Person Re-identication: A Study Against Large Variations 会议论文
, Amsterdam, Netherlands, 2016
作者:  Shi HL(石海林);  Yang Y(杨阳);  Zhu XY(朱翔昱);  Liao SC(廖胜才);  Lei Z(雷震);  Zheng WS(郑伟诗);  Li ZQ(李子青);  Lei Z(雷震)
Adobe PDF(3588Kb)  |  收藏  |  浏览/下载:239/77  |  提交时间:2017/06/14
Large Scale Similarity Learning Using Similar Pairs for Person Verification 会议论文
AAAI, Phoenix, USA, 2016, 02.12-02.17
作者:  Yang Yang(杨阳);  Shengcai Liao;  Zhen Lei;  Stan Z. Li;  Yang Yang
Adobe PDF(539Kb)  |  收藏  |  浏览/下载:353/111  |  提交时间:2016/07/04
Person Re-identification  Face Verification  Large Scale Similarity Learning