中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共11条，第1-10条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN plus 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7333-7348
作者:  Cheng, Ke;  Zhang, Yifan;  He, Xiangyu;  Cheng, Jian;  Lu, Hanqing
Adobe PDF(3205Kb)  |  收藏  |  浏览/下载：257/14  |  提交时间：2021/11/03
Skeleton-based action recognition  graph convolutional network  lightweight network  shift network  
Skeleton-Based Action Recognition with Shift Graph Convolutional Network 会议论文
, 线上, June 2020
作者:  Ke Cheng;  Yifan Zhang;  Xiangyu He;  Weihan Chen;  Jian Cheng;  Hanqing Lu
Adobe PDF(2935Kb)  |  收藏  |  浏览/下载：234/39  |  提交时间：2021/05/28
Rethinking the pid optimizer for stochastic optimization of deep networks 会议论文
, London, United kingdom, July 6, 2020 - July 10, 2020
作者:  Shi, Lei;  Zhang, Yifan;  Wang, Wanguo;  Cheng, Jian;  Lu, Hanqing
Adobe PDF(325Kb)  |  收藏  |  浏览/下载：217/55  |  提交时间：2021/01/27
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition 会议论文
, Long Beach, CA, United states, June 16, 2019 - June 20, 2019
作者:  Shi, Lei;  Zhang, Yifan;  Cheng, Jian;  Lu, Hanqing
Adobe PDF(691Kb)  |  收藏  |  浏览/下载：226/59  |  提交时间：2021/01/26
Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 期号: 29, 页码: 9532-9545
作者:  Shi, Lei;  Zhang, Yifan;  Cheng, Jian;  Lu, Hanqing
Adobe PDF(2849Kb)  |  收藏  |  浏览/下载：375/148  |  提交时间：2020/11/05
Skeleton-based action recognition, graph convolutional network, adaptive graph, multi-stream network.  
Spatialflow: Bridging all tasks for panoptic segmentation 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2020, 卷号: 31, 期号: 6, 页码: 2288-2300
作者:  Chen, Qiang;  Cheng, Anda;  He, Xiangyu;  Wang, Peisong;  Cheng, Jian
Adobe PDF(4643Kb)  |  收藏  |  浏览/下载：174/35  |  提交时间：2020/10/20
panoptic segmentation  
Sparsity-Inducing Binarized Neural Networks 会议论文
, New York, 2020
作者:  Wang, Peisong;  He, Xiangyu;  Li, Gang;  Zhao, Tianli;  Cheng, Jian
Adobe PDF(578Kb)  |  收藏  |  浏览/下载：168/39  |  提交时间：2020/10/20
Towards Accurate Post-training Network Quantization via Bit-Split and Stitching 会议论文
, Online, 2020
作者:  Wang, Peisong;  Chen, Qiang;  He, Xiangyu;  Cheng, Jian
Adobe PDF(389Kb)  |  收藏  |  浏览/下载：130/32  |  提交时间：2020/10/20
ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices 会议论文
, Online, 2020
作者:  He, Xiangyu;  Mo, Zitao;  Cheng, Ke;  Xu, Weixiang;  Hu, Qinghao;  Wang, Peisong;  Liu, Qingshan;  Cheng, Jian
Adobe PDF(2540Kb)  |  收藏  |  浏览/下载：194/47  |  提交时间：2020/10/20
Unsupervised Network Quantization via Fixed-Point Factorization 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2020, 期号: 1, 页码: 1
作者:  Wang, Peisong;  He, Xiangyu;  Chen, Qiang;  Cheng, Anda;  Liu, Qingshan;  Cheng, Jian
Adobe PDF(1998Kb)  |  收藏  |  浏览/下载：204/50  |  提交时间：2020/10/20
Acceleration , compression , deep neural networks (DNNs) , fixed-point quantization , unsupervised quantization.