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CASIA OpenIR

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ECBC: Efficient Convolution via Blocked Columnizing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Zhao, Tianli;  Hu, Qinghao;  He, Xiangyu;  Xu, Weixiang;  Wang, Jiaxing;  Leng, Cong;  Cheng, Jian
Adobe PDF(3003Kb)  |  收藏  |  浏览/下载：350/47  |  提交时间：2022/01/27
Convolution  Tensors  Layout  Memory management  Indexes  Transforms  Performance evaluation  Convolutional neural networks (CNNs)  direct convolution  high performance computing for mobile devices  im2col convolution  memory-efficient convolution (MEC)  
Scene Coordinate Regression Network With Global Context-Guided Spatial Feature Transformation for Visual Relocalization 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 卷号: 6, 期号: 3, 页码: 5737-5744
作者:  Guan, Peiyu;  Cao, Zhiqiang;  Yu, Junzhi;  Zhou, Chao;  Tan, Min
Adobe PDF(2399Kb)  |  收藏  |  浏览/下载：366/67  |  提交时间：2021/08/15
Scene coordinate regression network  global context  spatial feature transformation  visual relocalization  
A Novel Sparse Geometric 3-D LiDAR Odometry Approach 期刊论文
IEEE SYSTEMS JOURNAL, 2021, 卷号: 15, 期号: 1, 页码: 1390-1400
作者:  Liang, Shuang;  Cao, Zhiqiang;  Guan, Peiyu;  Wang, Chengpeng;  Yu, Junzhi;  Wang, Shuo
Adobe PDF(4597Kb)  |  收藏  |  浏览/下载：394/85  |  提交时间：2021/05/06
Laser radar  Feature extraction  Simultaneous localization and mapping  Three-dimensional displays  Computational complexity  Distance measurement  Lighting  Line and plane features  line-to-line and plane-to-plane associations  sparse geometric map  3-D light detection and ranging (LiDAR) odometry  
A robotic grasping approach with elliptical cone-based potential fields under disturbed scenes 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2021, 卷号: 18, 期号: 1, 页码: 11
作者:  Geng, Wenjie;  Cao, Zhiqiang;  Li, Zhonghui;  Yu, Yingying;  Jing, Fengshui;  Yu, Junzhi
Adobe PDF(15762Kb)  |  收藏  |  浏览/下载：353/33  |  提交时间：2021/03/29
Robotic grasping  elliptical cone  potential field  disturbed scene  
Object Reconstruction Based on Attentive Recurrent Network from Single and Multiple Images 期刊论文
NEURAL PROCESSING LETTERS, 2021, 期号: 53, 页码: 18
作者:  Gao, Zishu;  Li, En;  Wang, Zhe;  Yang, Guodong;  Lu, Jiwu;  Ouyang, Bo;  Xu, Dawei;  Liang, Zize
Adobe PDF(1338Kb)  |  收藏  |  浏览/下载：323/70  |  提交时间：2021/03/01
Object reconstruction  Convolutional LSTM  Visual attention  Robotic application