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CASIA OpenIR

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Bridging the Gap between Different Vocabularies for LLM Ensemble 会议论文
, Mexico City, Mexico, June 16–21, 2024
作者:  徐杨一帆;  Lu JL(陆金梁);  Zhang JJ(张家俊)
Adobe PDF(1982Kb)  |  收藏  |  浏览/下载：79/26  |  提交时间：2024/06/13
Learning Discriminative and Complementary Patches for Face Recognition 会议论文
, Lille, France, 2019/5/14-2019/5/18
作者:  Zhiwei Liu;  Ming Tang;  Guosheng Hu;  Jinqiao Wang
浏览  |  Adobe PDF(1158Kb)  |  收藏  |  浏览/下载：104/45  |  提交时间：2020/09/10
face recognition, convolutional neural network, embedding learning  
Online Sketching Hashing 会议论文
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), USA, 2015
作者:  Leng, Cong;  Wu, Jiaxiang;  Cheng, Jian;  Bai, Xiao;  Lu, Hanqing
浏览  |  Adobe PDF(250Kb)  |  收藏  |  浏览/下载：388/89  |  提交时间：2016/06/28
Sketching  
Hashing for Distributed Data 会议论文
International Conference on Machine Learning, France, 2015-6
作者:  Leng, Cong;  Wu, Jiaxiang;  Cheng, Jian;  Zhang, Xi;  Lu, Hanqing
浏览  |  Adobe PDF(340Kb)  |  收藏  |  浏览/下载：375/97  |  提交时间：2016/06/28
Distributed  Hashing  
Dual Cross-Media Relevance Model for Image Annotation 会议论文
Proceedings of the 15th International Conference on Multimedia 2007, Augsburg, Germany, September 24-29, 2007
作者:  Liu, Jing;  Wang, Bin;  Li, Mingjing;  Li, Zhiwei;  Ma, Wei-Ying;  Lu, Hanqing;  Ma, Songde
浏览  |  Adobe PDF(1404Kb)  |  收藏  |  浏览/下载：422/134  |  提交时间：2016/04/13
Efficient Clothing Retrieval with Semantic-Preserving Visual Phrases 会议论文
Asian Conference on Computer Vision (ACCV), Daejeon, Korea, 2012
作者:  Fu, Jianlong;  Wang, Jinqiao;  Li, Zechao;  Xu, Min;  Lu, Hanqing
浏览  |  Adobe PDF(1911Kb)  |  收藏  |  浏览/下载：405/119  |  提交时间：2015/08/19
Semantic-preserving Visual Phrases  Efficient Clothing Retrieval  
Fast feature selection and training for AdaBoost-based concept detection with large scale datasets 会议论文
ACM Multimedia Conferenc (MM), New York, NY, USA, 2010
作者:  Chen, Shi;  Wang, Jinqiao;  Liu, Yang;  Xu, Changsheng;  Lu, Hanqing
浏览  |  Adobe PDF(439Kb)  |  收藏  |  浏览/下载：302/91  |  提交时间：2015/08/19
Fast Feature Selection And Training  Adaboost-based Concept Detection