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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 专题：北京航空航天大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 One-shot learning hand gesture recognition based on modified 3d convolutional neural networks 期刊论文 MACHINE VISION AND APPLICATIONS, 2019, 卷号: 30, 页码: 1157-1180 作者:  Lu, Zhi;  Qin, Shiyin;  Li, Xiaojie;  Li, Lianwei;  Zhang, Dinghao 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/30 One-shot learning hand gesture recognition  Convolutional neural networks (CNN)  Multimodal feature fusion  Continuous fine-tune  Transfer learning   Clustering personalized 3D printing models with multiple modal CNN 会议论文 Chinese Intelligent Systems Conference, CISC 2017, Mudanjiang, China, 2017-10-14 作者:  Chen, Jianwei;  Zhang, Lin;  Dong, Xinyu 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/30 Automatic bladder segmentation from CT images using deep CNN and 3D fully connected CRF-RNN 期刊论文 INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2018, 卷号: 13, 页码: 967-975 作者:  Xu, Xuanang;  Zhou, Fugen;  Liu, Bo 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/30 Segmentation  Bladder  CNN  CRF-RNN   Single shot 2D3D image regisraton 会议论文 Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017 作者:  Xie, Y.;  Meng, C.;  Guan, S.;  Wang, Q. 收藏  |  浏览/下载：12/0  |  提交时间：2019/12/30 Biomedical engineering  Computational efficiency  Convolution  Iterative methods  Neural networks  Regression analysis  2D/3D registration  Convolutional neural network  Convolutional Neural Networks (CNN)  Digitally reconstructed radiographs  Multi-scale  Optimization based methods  Single shots  Transformation parameters  Image processing   Fast and light manifold CNN based 3D facial expression recognition across pose variations 会议论文 MM 2018 - Proceedings of the 2018 ACM Multimedia Conference 作者:  Chen, Z.;  Wang, Y.;  Huang, D.;  Chen, L. 收藏  |  浏览/下载：11/0  |  提交时间：2019/12/30 Deep learning  Gesture recognition  Neural networks  Trees (mathematics)  3-D facial expression recognition  Convolutional neural network  Encoding strategy  Geometry representation  Pre-processing method  Rotation invariance  Rotation invariant  Shape characteristics  Face recognition   Learning deep facial expression features from image and optical flow sequences using 3D CNN 期刊论文 VISUAL COMPUTER, 2018, 卷号: 34, 页码: 1461-1475 作者:  Zhao, Jianfeng;  Mao, Xia;  Zhang, Jian 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/30 Facial expression recognition  Static features  Dynamic features  3D convolutional neural networks  Accumulative optical flow