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Knowledge-driven Egocentric Multimodal Activity Recognition 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2020, 卷号: 16, 期号: 4, 页码: 21
作者:  Huang, Yi;  Yang, Xiaoshan;  Gao, Junyu;  Sang, Jitao;  Xu, Changsheng
Adobe PDF(1875Kb)  |  收藏  |  浏览/下载：425/67  |  提交时间：2021/03/08
Egocentric videos  wearable sensors  graph neural networks  
Learn with diversity and from harder samples: Improving the generalization of CNN-Based detection of computer-generated images 期刊论文
FORENSIC SCIENCE INTERNATIONAL-DIGITAL INVESTIGATION, 2020, 卷号: 35, 页码: 12
作者:  Quan, Weize;  Wang, Kai;  Yan, Dong-Ming;  Zhang, Xiaopeng;  Pellerin, Denis
收藏  |  浏览/下载：253/0  |  提交时间：2021/03/08
Image forensics  Computer-generated image  Convolutional neural network  Generalization  Negative samples  
MGCN: Descriptor Learning using Multiscale GCNs 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2020, 卷号: 39, 期号: 4, 页码: 15
作者:  Wang, Yiqun;  Ren, Jing;  Yan, Dong-Ming;  Guo, Jianwei;  Zhang, Xiaopeng;  Wonka, Peter
Adobe PDF(32624Kb)  |  收藏  |  浏览/下载：364/17  |  提交时间：2021/01/06
Multiscale  Energy Decomposition  Wavelet Convolution  Shape Matching  
Unsupervised Multi-View Constrained Convolutional Network for Accurate Depth Estimation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 7019-7031
作者:  Zhang, Yuyang;  Xu, Shibiao;  Wu, Baoyuan;  Shi, Jian;  Meng, Weiliang;  Zhang, Xiaopeng
Adobe PDF(8221Kb)  |  收藏  |  浏览/下载：335/74  |  提交时间：2020/08/03
Estimation  Training  Feature extraction  Geometry  Computer vision  Cameras  Unsupervised learning  Unsupervised learning  DenseDepthNet  multi-view geometry constraint  depth consistency  
Triplet Adversarial Domain Adaptation for Pixel-Level Classification of VHR Remote Sensing Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 5, 页码: 3558-3573
作者:  Yan, Liang;  Fan, Bin;  Liu, Hongmin;  Huo, Chunlei;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(6348Kb)  |  收藏  |  浏览/下载：398/88  |  提交时间：2020/06/22
Domain adaptation (DA)  pixel-level classification  self-training  triplet adversarial learning  very high resolution (VHR)