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CASIA OpenIR

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Enhancing ENSO predictions with self-attention ConvLSTM and temporal embeddings 期刊论文
Frontiers in Marine Science, 2024, 卷号: 11, 页码: 1334210
作者:  Rui, Chuang;  Sun, Zhengya;  Zhang, Wensheng;  Liu, Anan;  Wei, Zhiqiang
Adobe PDF(14474Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/05/28
El Niño-Southern Oscillation (ENSO)  deep learning for ENSO prediction  self-attention ConvLSTM  temporal embeddings  spring prediction barrier  
Learning to Reduce Scale Differences for Large-Scale Invariant Image Matching 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2023, 卷号: 33, 期号: 3, 页码: 1335 - 1348
作者:  Fu Yujie;  Zhang Pengju;  Liu Bingxi;  Rong Zheng;  Wu Yihong
Adobe PDF(4879Kb)  |  收藏  |  浏览/下载：8/2  |  提交时间：2024/05/28
Image Matching  Large Scale Changes  Scale Difference Reduction  Scale Ratio Estimation  Covisibility-attention-reinforced Matching Module  
Social Vision for Intelligent Vehicles: From Computer Vision to Foundation Vision 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 11, 页码: 4474-4476
作者:  Yu, Hui;  Wang, Yutong;  Tian, Yonglin;  Zhang, Hui;  Zheng, Wenbo;  Wang, Fei-Yue
收藏  |  浏览/下载：32/0  |  提交时间：2024/03/27
Social Vision  Parallel Vision  Knowledge Vision  Foundation Vision  intelligent vehicles  social interaction  sustainability  
Indirect estimation of pediatric reference interval via density graph deep embedded clustering 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2024, 卷号: 169, 页码: 10
作者:  Zheng, Jianguo;  Tang, Yongqiang;  Peng, Xiaoxia;  Zhao, Jun;  Chen, Rui;  Yan, Ruohua;  Peng, Yaguang;  Zhang, Wensheng
收藏  |  浏览/下载：26/0  |  提交时间：2024/03/27
Reference interval  Reference interval  Indirect estimation  Indirect estimation  Machine learning  Machine learning  Deep neural networks  Deep neural networks  Graph clustering  Graph clustering  
Improving metric-based few-shot learning with dynamically scaled softmax loss 期刊论文
IMAGE AND VISION COMPUTING, 2023, 卷号: 140, 页码: 15
作者:  Zhang, Yu;  Zuo, Xin;  Zheng, Xuxu;  Gao, Xiaoyong;  Wang, Bo;  Hu, Weiming
收藏  |  浏览/下载：43/0  |  提交时间：2024/02/22
Few-shot learning  Metric-based learning framework  Softmax loss improvement  
A Novel Spatial Position Prediction Navigation System Makes Surgery More Accurate 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 卷号: 42, 期号: 12, 页码: 3614-3624
作者:  Zhang, Lin-Sen;  Liu, Shi-Qi;  Xie, Xiao-Liang;  Zhou, Xiao-Hu;  Hou, Zeng-Guang;  Wang, Chao-Nan;  Qu, Xin-Kai;  Han, Wen-Zheng;  Ma, Xi-Yao;  Song, Meng
收藏  |  浏览/下载：45/0  |  提交时间：2024/02/22
Vascular interventional surgery  3D prediction guide  autonomous operation  path-planning  weighted probability error ellipsoid  
RC-Net: Row and Column Network with Text Feature for Parsing Floor Plan Images 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 3, 页码: 526-539
作者:  Wang, Teng;  Meng, Wei-Liang;  Lu, Zheng-Da;  Guo, Jian-Wei;  Xiao, Jun;  Zhang, Xiao-Peng
收藏  |  浏览/下载：120/0  |  提交时间：2023/12/21
floor plan understanding  text feature  Row and Column (RC) constraint module  Row and Column network (RC-Net)  
PowerRTF: Power Diagram based Restricted Tangent Face for Surface Remeshing 期刊论文
COMPUTER GRAPHICS FORUM, 2023, 页码: 16
作者:  Yao, Yuyou;  Liu, Jingjing;  Fei, Yue;  Wu, Wenming;  Zhang, Gaofeng;  Yan, Dong-Ming;  Zheng, Liping
收藏  |  浏览/下载：80/0  |  提交时间：2023/11/17
Computing methodologies ? Computer graphics  Shared memory algorithms  
Residual Reinforcement Learning for Motion Control of a Bionic Exploration Robot-RoboDact 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 13
作者:  Zhang, Tiandong;  Wang, Rui;  Wang, Shuo;  Wang, Yu;  Zheng, Gang;  Tan, Min
收藏  |  浏览/下载：81/0  |  提交时间：2023/11/17
Active disturbance rejection control (ADRC)  bionic exploration robot  motion control  residual reinforcement learning (RRL)  soft actor-critic (SAC)  
Design and Analysis of a Bionic Gliding Robotic Dolphin 期刊论文
BIOMIMETICS, 2023, 卷号: 8, 期号: 2, 页码: 13
作者:  Zhang, Yang;  Wu, Zhengxing;  Wang, Jian;  Tan, Min
收藏  |  浏览/下载：38/0  |  提交时间：2023/11/17
gliding robotic dolphin  bionic robot  underwater gliding motion  dynamic model