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3D Mapping and 6D Pose Computation for Real Time Augmented Reality on Cylindrical Objects 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2019, 期号: 10.1109/TCSVT.2019.2950449, 页码: 1-13
作者:  Tang, Fulin;  Wu, Yihong;  Hou, Xiaohui;  Ling, Haibin
浏览  |  Adobe PDF(6471Kb)  |  收藏  |  浏览/下载：310/80  |  提交时间：2020/06/11
Augmented reality(AR)  cylindrical object  reconstruction  tracking  linear P3P RANSAC  
Scalable volumetric imaging for ultrahigh-speed brain mapping at synaptic resolution 期刊论文
NATIONAL SCIENCE REVIEW, 2019, 卷号: 6, 期号: 5, 页码: 982-992
作者:  Wang, Hao;  Zhu, Qingyuan;  Ding, Lufeng;  Shen, Yan;  Yang, Chao-Yu;  Xu, Fang;  Shu, Chang;  Guo, Yujie;  Xiong, Zhiwei;  Shan, Qinghong;  Jia, Fan;  Su, Peng;  Yang, Qian-Ru;  Li, Bing;  Cheng, Yuxiao;  He, Xiaobin;  Chen, Xi;  Wu, Feng;  Zhou, Jiang-Ning;  Xu, Fuqiang;  Han, Hua;  Lau, Pak-Ming;  Bi, Guo-Qiang
浏览  |  Adobe PDF(25368Kb)  |  收藏  |  浏览/下载：433/71  |  提交时间：2020/03/30
fluorescence microscopy  brain mapping  tissue clearing  immunostaining  activity trace mapping  
Learning graph structure via graph convolutional networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 95, 期号: -, 页码: 308-318
作者:  Zhang, Qi;  Chang, Jianlong;  Meng, Gaofeng;  Xu, Shibiao;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(2475Kb)  |  收藏  |  浏览/下载：451/107  |  提交时间：2019/12/16
Deep learning  Graph convolutional neural networks  Graph structure learning  Changeable kernel sizes  
Locator slope calculation via deep representations based on monocular vision 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2019, 卷号: 31, 期号: 7, 页码: 2781-2794
作者:  Yang, Yang;  Zhang, Wensheng;  He, Zewen;  Chen, Dongjie
Adobe PDF(4398Kb)  |  收藏  |  浏览/下载：247/47  |  提交时间：2019/12/16
Slope calculation  Locator detection  Convolution neural networks  Monocular vision  
A Performance Evaluation of Local Features for Image-Based 3D Reconstruction 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 10, 页码: 4774-4789
作者:  Fan, Bin;  Kong, Qingqun;  Wang, Xinchao;  Wang, Zhiheng;  Xiang, Shiming;  Pan, Chunhong;  Fua, Pascal
浏览  |  Adobe PDF(3986Kb)  |  收藏  |  浏览/下载：330/70  |  提交时间：2019/12/16
Local feature  image reconstruction  structure from motion (SFM)  3D vision  image matching  
Fast A3RL: Aesthetics-Aware Adversarial Reinforcement Learning for Image Cropping 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 10, 页码: 5105-5120
作者:  Li, Debang;  Wu, Huikai;  Zhang, Junge;  Huang, Kaiqi
Adobe PDF(6588Kb)  |  收藏  |  浏览/下载：375/42  |  提交时间：2019/12/16
Reinforcement learning  adversarial learning  image cropping  
Adaptive Attention Annotation Model: Optimizing the Prediction Path through Dependency Fusion 期刊论文
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2019, 卷号: 13, 期号: 9, 页码: 4665-4683
作者:  Wang, Fangxin;  Liu, Jie;  Zhang, Shuwu;  Zhang, Guixuan;  Zheng, Yang;  Li, Xiaoqian;  Liang, Wei;  Li, Yuejun
浏览  |  Adobe PDF(1061Kb)  |  收藏  |  浏览/下载：389/58  |  提交时间：2019/10/08
image annotation  multiple dependencies  self-attention  prediction path  Triplet Margin loss  
SMART: Joint Sampling and Regression for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 8, 页码: 3923-3935
作者:  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
浏览  |  Adobe PDF(9244Kb)  |  收藏  |  浏览/下载：334/40  |  提交时间：2019/09/30
Visual tracking  deep learning  sampling and regression  
Unsupervised Semantic-Based Aggregation of Deep Convolutional Features 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 2, 页码: 601-611
作者:  Xu, Jian;  Wang, Chunheng;  Qi, Chengzuo;  Shi, Cunzhao;  Xiao, Baihua
浏览  |  Adobe PDF(1963Kb)  |  收藏  |  浏览/下载：378/88  |  提交时间：2019/07/12
Unsupervised  semantic-based aggregation  semantic detectors  
Structure-Aware Deep Learning for Product Image Classification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2019, 卷号: 15, 期号: 1, 页码: 20
作者:  Chen, Zhineng;  Al, Shanshan;  Jia, Caiyan
浏览  |  Adobe PDF(7349Kb)  |  收藏  |  浏览/下载：272/17  |  提交时间：2019/07/12
Image classification  category hierarchy  convolutional neural network  multi-class regression  multi-task learning