CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共14条,第1-10条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Optimization-Based Post-Training Quantization With Bit-Split and Stitching 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 2119-2135
作者:  Wang, Peisong;  Chen, Weihan;  He, Xiangyu;  Chen, Qiang;  Liu, Qingshan;  Cheng, Jian
Adobe PDF(921Kb)  |  收藏  |  浏览/下载:212/62  |  提交时间:2023/03/20
Deep neural networks  compression  quantization  post-training quantization  
Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action-Gesture Recognition 会议论文
, 日本京都, 2020
作者:  Shi L(史磊);  Zhang YF(张一帆);  Cheng J(程健);  Lu HQ(卢汉清)
Adobe PDF(530Kb)  |  收藏  |  浏览/下载:174/54  |  提交时间:2021/05/31
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
浏览  |  Adobe PDF(691Kb)  |  收藏  |  浏览/下载:256/64  |  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
浏览  |  Adobe PDF(2849Kb)  |  收藏  |  浏览/下载:405/157  |  提交时间:2020/11/05
Skeleton-based action recognition, graph convolutional network, adaptive graph, multi-stream network.  
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:223/54  |  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:228/56  |  提交时间:2020/10/20
Acceleration , compression , deep neural networks (DNNs) , fixed-point quantization , unsupervised quantization.  
Training Binary Weight Networks via Semi-Binary Decomposition 会议论文
, 德国慕尼黑, 2018-9
作者:  Hu, Qinghao;  Li, Gang;  Wang, Peisong;  Zhang, Yifan;  Cheng, Jian
浏览  |  Adobe PDF(575Kb)  |  收藏  |  浏览/下载:286/81  |  提交时间:2019/05/10
From Hashing to CNNs: Training BinaryWeight Networks via Hashing 会议论文
, 美国新奥尔良, 2018年2月2-8日
作者:  Hu, Qinghao;  Wang, Peisong;  Cheng, Jian
浏览  |  Adobe PDF(410Kb)  |  收藏  |  浏览/下载:193/49  |  提交时间:2019/05/10
Hashing  Binary Weight Network  Cnns  
DeepSearch: A Fast Image Search Framework for Mobile Devices 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2018, 卷号: 14, 期号: 1, 页码: 6
作者:  Wang, Peisong;  Hu, Qinghao;  Fang, Zhiwei;  Zhao, Chaoyang;  Cheng, Jian
浏览  |  Adobe PDF(1203Kb)  |  收藏  |  浏览/下载:542/188  |  提交时间:2018/05/05
Convolutional Neural Networks  Acceleration  Image Retrieval  Tensor Decomposition  
Quantized Convolutional Neural Networks for Mobile Devices 会议论文
, Las Vegas, U.S., 2016-6
作者:  Wu JX(吴家祥);  Leng C(冷聪);  Wang YH(王宇航);  Hu QH(胡庆浩);  Cheng J(程健)
浏览  |  Adobe PDF(321Kb)  |  收藏  |  浏览/下载:417/124  |  提交时间:2017/07/16