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Enhanced long-range communication among large scale brain networks during the pre-microsaccadic period 会议论文
, Orlando, Florida, USA, July 15-19, 2024
作者:  Gao, Ying;  He, Huiguang;  Sabel, Bernhard
Adobe PDF(861Kb)  |  收藏  |  浏览/下载：56/21  |  提交时间：2024/06/03
Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots 会议论文
, New Orleans, LA, USA, 18-24 June 2022
作者:  Wang, Zejin;  Liu, Jiazheng;  Li, Guoqing;  Han, Hua
Adobe PDF(7811Kb)  |  收藏  |  浏览/下载：215/96  |  提交时间：2023/05/31
Simultaneous neural spike encoding and decoding based on cross-modal dual deep generative model 会议论文
, Glasgow, United Kingdom, 2020/7/19
作者:  Qiongyi Zhou;  Changde Du;  Dan Li;  Haibao Wang;  Jian K. Liu;  Huiguang He
Adobe PDF(4135Kb)  |  收藏  |  浏览/下载：153/56  |  提交时间：2023/05/05
An Effective Encoder-Decoder Network for Neural Cell Bodies and Cell Nucleus Segmentation of EM Images 会议论文
, 德国柏林, 2019-7
作者:  Jiang Yi;  Xiao Chi;  Li Linlin;  Shen Lijun;  Chen Xi;  Han Hua
Adobe PDF(6217Kb)  |  收藏  |  浏览/下载：227/59  |  提交时间：2022/06/14
Encoder-Decoder  Electron Microscopy  Neural Cell Bodies  Cell Nucleus  Image Segmentation  
Improving Image Classification Performance with Automatically Hierarchical Label Clustering 会议论文
2018 24th International Conference on Pattern Recognition (ICPR), Beiing, China, 2018-8
作者:  Chen, Zhiqiang;  Du, Changde;  Huang, Lijie;  Li, Dan;  He,Huiguang
浏览  |  Adobe PDF(2034Kb)  |  收藏  |  浏览/下载：248/67  |  提交时间：2021/01/27
classification，deep neural network, label clustering  
Learning "What" and "Where": An Interpretable Neural Encoding Model 会议论文
, Budapest, Hungary, July 14-19, 2019
作者:  Wang, Haibao;  Huang, Lijie;  Du, Changde;  He, Huiguang
浏览  |  Adobe PDF(865Kb)  |  收藏  |  浏览/下载：266/52  |  提交时间：2020/06/10
A Refined Spatial Transformer Network 会议论文
, Siem Reap, Cambodia, 13-16 December, 2018
作者:  Shu, Chang;  Chen, Xi;  Yu, Chong;  Han, Hua
浏览  |  Adobe PDF(1085Kb)  |  收藏  |  浏览/下载：428/150  |  提交时间：2018/10/09
Spatial invariance  Geometrical distortion  Spatial transformer networks  Motion field  Refined spatial transformer network