CORC

在结果中检索

CORC

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：
WHEN SKELETON MEETS APPEARANCE: ADAPTIVE APPEARANCE INFORMATION ENHANCEMENT FOR SKELETON BASED ACTION RECOGNITION 会议论文
中国台北, July 18-22, 2022
作者:  Wang Suqin;  Zhou Lu;  Chen Yingying;  Jiangtao Huo;  Wang Jinqiao
收藏  |  浏览/下载：0/0  |  提交时间：2024/06/03
Multiresolution Representations for Large-Scale Terrain with Local Gaussian Process Regression 会议论文
Xi'an, China, May 30 - June 5, 2021
作者:  Liu X(刘旭);  Li DC(李德才);  He YQ(何玉庆)
收藏  |  浏览/下载：13/0  |  提交时间：2022/03/15
Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark 会议论文
Virtual, 2021-7
作者:  Wang, Xiao;  Shu, Xiujun;  Zhang, Zhipeng;  Jiang, Bo;  Wang, Yaowei
收藏  |  浏览/下载：3/0  |  提交时间：2022/06/14
Refinement of Boundary Regression Using Uncertainty in Temporal Action Localization 会议论文
virtual conference, 2020/07/09
作者:  Chen YZ(陈云泽);  Mengjuan Chen;  Rui Wu;  Jiagang Zhu;  Zheng Zhu
收藏  |  浏览/下载：0/0  |  提交时间：2023/08/25
Good Practice on Deep Scene Classification: from Local Supervision to Knowledge Guided Disambiguation 会议论文
美国
作者:  Yu Qiao;  Limin Wang;  Sheng Guo;  Zhe Wang;  Weilin Huang
收藏  |  浏览/下载：20/0  |  提交时间：2018/02/02
Kinematic chain based multi-joint capturing using monocular visual-inertial measurements 会议论文
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, Vancouver, Canada, September 24-28, 2017
作者:  Liang W(梁炜);  Zhang YL(张吟龙);  He, Hongsheng;  Tan JD(谈金东)
收藏  |  浏览/下载：12/0  |  提交时间：2018/02/24
Depth Map Super-Resolution by Deep Multi-Scale Guidance 会议论文
ECCV2016, 荷兰阿姆斯特丹
作者:  Tak-Wai Hui;  Chen Change Loy;  Xiaoou Tang
收藏  |  浏览/下载：95/0  |  提交时间：2017/01/15
A Novel Approach to Improve the Precision of Monocular Visual Odometry 会议论文
IEEE International Conference on Information and Automation, Lijiang
作者:  Chen Xiao;  Xiaorui Zhu;  Yongsheng Ou
收藏  |  浏览/下载：21/0  |  提交时间：2016/01/27
A new approach for the removal of mixed noise based on wavelet transform (EI CONFERENCE) 会议论文
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
Li Y.; Ni H.; Pang W.; Hao Z.
收藏  |  浏览/下载：27/0  |  提交时间：2013/03/25
This paper proposed a new approach for the removal of mixed noise. There are many different ways in image denoising. Donoho et al have proposed a method for image de-noising by thresholding  ambiguity is often resulted in determining the correspondence of a modulus maximum to a singularity. In the light  and indeed  we combine the merits of the two techniques to form a new approach for the removal of mixed noise. At first  the application of their method to image denoising has been extremely successful. But the method of Donoho is based on the assumption that the type of noise is only additive Gaussian noise  we used wavelet singularity detection (WSD) technique to analyze singularities of signal and noise. According to the characteristic that wavelet transform modulus maxima of impulse noise rapidly decreases as the scale increases in wavelet domain  which is not successful for impulse noise. Mallat has also presented a method for signal denoising by discriminating the noise and the signal singularities through an analysis of their wavelet transform modulus maxima (WTMM). Nevertheless  it can be accurately located with multiscale space by going through dyadic orthogonal wavelet transform and removed. Furthermore the Gaussian noise is also removed through a level-dependent thresholding algorithm  the tracing of WTMM is not just tedious procedure computationally  algorithm. The experimental results demonstrate that the proposed method can effectively detect impulse noise and remove almost all of the noise while preserve image details very well.  
Job burnout as a mediator between job stress and turnover intention 会议论文
Beijing, 2004
作者:  L. Lin;  K. Shi;  W. P. Hu
收藏  |  浏览/下载：15/0  |  提交时间：2011/08/22

©版权所有 ©2017 CSpace - Powered by CSpace