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Are Conventional SNNs Really Efficient? A Perspective from Network Quantization 会议论文
, Seattle WA, USA, 2024-06-20
作者:  Shen, Guobin;  Zhao, Dongcheng;  Li, Tenglong;  Li, Jindong;  Zeng, Yi
Adobe PDF(587Kb)  |  收藏  |  浏览/下载：53/16  |  提交时间：2024/06/05
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：59/21  |  提交时间：2024/06/03
3D Grasp Pose Generation from 2D Anchors and Local Surface 会议论文
, 广州，中国, 2022-12-10
作者:  Hao Xu;  Yangchang Sun;  Qi Sun;  Minghao Yang;  Jinlong Chen;  Baohua Qiang;  Jinghong Wang
Adobe PDF(711Kb)  |  收藏  |  浏览/下载：185/70  |  提交时间：2023/06/27
Robotics  grasping  
Abnormal dynamic functional network connectivity and graph theoretical analysis in major depressive disorder 会议论文
, Honolulu, 2018/07/17
作者:  Zhi DM(支冬梅)
Adobe PDF(2304Kb)  |  收藏  |  浏览/下载：185/62  |  提交时间：2021/06/28
Major depressive disorder, dynamic functional network connectivity  
Exploring different impaired speed of genetic-related brain function and structures in schizophrenic progress using multimodal analysis 会议论文
, July 17-21, 2018, Honolulu, Hawaii
作者:  Luo, Na;  Tian, Lin;  Vince Calhoun;  Chen, Jiayu;  Lin, Dongdong;  Rao, Shuquan;  Yang, Jian;  Zhuo, Chuanjun;  Xu, Yong;  Jessica A. Turner;  Sui, Jing
浏览  |  Adobe PDF(920Kb)  |  收藏  |  浏览/下载：291/117  |  提交时间：2020/01/14
Deep Contextual Residual Network for Electron Microscopy Image Segmentation in Connectomics 会议论文
, 2018-4, 美国华盛顿
作者:  Xiao C(肖驰);  Liu J(刘静);  Chen X(陈曦);  Han H(韩华);  Shu C(舒畅);  Xie QW(谢启伟)
浏览  |  Adobe PDF(614Kb)  |  收藏  |  浏览/下载：330/141  |  提交时间：2019/05/10
Connectomics, Deep Learning, Image Segmentation, Electron Microscopy  
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  
Image Super-resolution Based on MCA and Wavelet-Domain HMT 会议论文
Information Technology and Applications (IFITA), 2010 International Forum, Kunming, China, 16-18 July 2010
作者:  Lijun, Shen;  Zhiyun, Xiao;  Hua, Han
浏览  |  Adobe PDF(1538Kb)  |  收藏  |  浏览/下载：300/99  |  提交时间：2015/12/02