中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共19条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Efficient Super Resolution by Recursive Aggregation 会议论文
, 意大利米兰, 2021-1
作者:  Luo, Zhengxiong;  Huang, Yan;  Li, Shang;  Wang, Liang;  Tan, Tieniu
Adobe PDF(8171Kb)  |  收藏  |  浏览/下载：61/24  |  提交时间：2023/06/09
Information Bottleneck Disentanglement for Identity Swapping 会议论文
, 线上, 2021.6.19
作者:  Gao, Gege;  Huang, Huaibo;  Fu, Chaoyou;  Li, Zhaoyang;  He, Ran
Adobe PDF(7781Kb)  |  收藏  |  浏览/下载：147/42  |  提交时间：2022/06/15
Exploring Exposure Bias in Recommender Systems from Causality Perspective 会议论文
, Hainan Island, China, 2021-12-06
作者:  Yang, Yi;  Li, Meng;  Hu, Xueyang;  Pan, Guoyang;  Huang, Weixing;  Wang, Jian;  Wang,Yun
Adobe PDF(523Kb)  |  收藏  |  浏览/下载：231/50  |  提交时间：2022/03/31
exposure bias  causal inference  implicit feedback  survey  causality  recommender system  
A Graph based Calligraphy Similarity Compare Model 会议论文
, Hainan Island, China, 2021-12-06
作者:  Pan, Guoyang;  Yang, Yi;  Li, Meng;  Hu, Xueyang;  Huang, Weixing;  Wang, Jian;  Wang,Yun
Adobe PDF(370Kb)  |  收藏  |  浏览/下载：258/78  |  提交时间：2022/03/31
calligraphy estimation  graph similarity  image process  graph neural network  
Trip Purposes Mining From Mobile Signaling Data 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 99, 期号: 99, 页码: 13
作者:  Li, Zhishuai;  Xiong, Gang;  Wei, Zebing;  Zhang, Yu;  Zheng, Meng;  Liu, Xiaoli;  Tarkoma, Sasu;  Huang, Min;  Lv, Yisheng;  Wu, Chuheng
Adobe PDF(3962Kb)  |  收藏  |  浏览/下载：423/75  |  提交时间：2022/01/27
Cellular networks  Trajectory  Semantics  Unsupervised learning  Supervised learning  Resource management  Public transportation  Trip purpose inference  cellular network data  latent Dirichlet allocation  travel behavior  big data  
Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point Clouds 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 13
作者:  Tian, Yonglin;  Huang, Lichao;  Yu, Hui;  Wu, Xiangbin;  Li, Xuesong;  Wang, Kunfeng;  Wang, Zilei;  Wang, Fei-Yue
收藏  |  浏览/下载：210/0  |  提交时间：2022/01/27
Three-dimensional displays  Feature extraction  Convolution  Proposals  Kernel  Laser radar  Semantics  Point clouds  3D detection  dynamic network  context features  
Neural Encoding for Human Visual Cortex With Deep Neural Networks Learning "What" and "Where" 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2021, 卷号: 13, 期号: 4, 页码: 827-840
作者:  Wang, Haibao;  Huang, Lijie;  Du, Changde;  Li, Dan;  Wang, Bo;  He, Huiguang
收藏  |  浏览/下载：224/0  |  提交时间：2022/01/27
Visualization  Feature extraction  Encoding  Brain modeling  Biological neural networks  Sociology  Statistics  Deep neural network (DNN)  neural encoding  regularization  "what" and "where"  
3D Deep Learning Model for the Pretreatment Evaluation of Treatment Response in Esophageal Carcinoma: A Prospective Study (ChiCTR2000039279) 期刊论文
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2021, 卷号: 111, 期号: 4, 页码: 926-935
作者:  Li, Xiaoqin;  Gao, Han;  Zhu, Jian;  Huang, Yong;  Zhu, Yongbei;  Huang, Wei;  Li, Zhenjiang;  Sun, Kai;  Liu, Zhenyu;  Tian, Jie;  Li, Baosheng
收藏  |  浏览/下载：254/0  |  提交时间：2021/12/28
Multi-View Feature Selection for PolSAR Image Classification via l(2,1) Sparsity Regularization and Manifold Regularization 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 8607-8618
作者:  Huang, Xiayuan;  Nie, Xiangli
收藏  |  浏览/下载：153/0  |  提交时间：2021/12/28
Multi-view feature selection  PolSAR image classification  l(2,1) norm  manifold regularization  
Deep Learning-Based Prediction of Future Extrahepatic Metastasis and Macrovascular Invasion in Hepatocellular Carcinoma 期刊论文
JOURNAL OF HEPATOCELLULAR CARCINOMA, 2021, 卷号: 8, 页码: 1065-1076
作者:  Fu, Sirui;  Pan, Meiqing;  Zhang, Jie;  Zhang, Hui;  Tang, Zhenchao;  Li, Yong;  Mu, Wei;  Huang, Jianwen;  Dong, Di;  Duan, Chongyang;  Li, Xiaoqun;  Wang, Shuo;  Chen, Xudong;  He, Xiaofeng;  Yan, Jianfeng;  Lu, Ligong;  Tian, Jie
收藏  |  浏览/下载：260/0  |  提交时间：2021/11/03
aggressive disease progression  deep learning radiomics  clinical factors  high-risk  risk prediction