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CASIA OpenIR
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GFFNet: Global Feature Fusion Network for Semantic Segmentation of Large-Scale Remote Sensing Images 期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 卷号: 17, 期号: 2024, 页码: 4222 - 4234
作者:  Cao, Yong;  Huo, Chunlei;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(4340Kb)  |  收藏  |  浏览/下载：16/3  |  提交时间：2024/06/25
Cross feature fusion (CFF)  global context learning  group transformer  semantic segmentation  
Decoupled Representation Learning for Character Glyph Synthesis 期刊论文
IEEE Transactions on Multimedia, 2021, 卷号: 2021, 期号: 2021, 页码: 1-13
作者:  Xiyan Liu;  Gaofeng Meng;  Jianlong Chang;  Ruiguang Hu;  Shiming Xiang;  Chunhong Pan
Adobe PDF(4588Kb)  |  收藏  |  浏览/下载：207/50  |  提交时间：2022/01/24
Character glyph synthesis  Decoupled representation  generative adversarial networks  
Geometric Rectification of Document Images using Adversarial Gated Unwarping Network 期刊论文
Pattern Recognition, 2020, 卷号: 108, 期号: 108, 页码: 1-13
作者:  Xiyan Liu;  Gaofeng Meng;  Bin Fan;  Shiming Xiang;  Chunhong Pan
Adobe PDF(7916Kb)  |  收藏  |  浏览/下载：190/55  |  提交时间：2022/01/24
Distorted document image  Geometric rectification  Gated module  Deep learning  
Geometric Rectification of Document Images using Adversarial Gated Unwarping Network 期刊论文
Pattern Recognition, 2020, 卷号: 108, 期号: 108, 页码: 1-13
作者:  Xiyan Liu;  Gaofeng MENG;  Bin FAN;  Shiming Xiang;  Chunhong PAN
浏览  |  Adobe PDF(7916Kb)  |  收藏  |  浏览/下载：296/94  |  提交时间：2020/10/20
Distorted document image  Geometric rectification  Gated module  Deep learning  
Deep Self-Evolution Clustering 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823
作者:  Chang, Jianlong;  Meng, Gaofeng;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(4817Kb)  |  收藏  |  浏览/下载：438/95  |  提交时间：2020/06/02
Task analysis  Unsupervised learning  Training  Clustering methods  Pattern analysis  Clustering  deep self-evolution clustering  self-evolution clustering training  deep unsupervised learning  
Baselines Extraction from Curved Document Images via Slope Fields Recovery 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 793-808
作者:  Meng, Gaofeng;  Pan, Chunhong;  Xiang, Shiming;  Wu, Ying
浏览  |  Adobe PDF(15645Kb)  |  收藏  |  浏览/下载：243/51  |  提交时间：2020/06/02
Estimation  Image segmentation  Layout  Distortion  Strips  Image quality  Degradation  Document image processing  curved baselines extraction  slope fields recovery  geometric distortion rectification  
A Performance Evaluation of Local Features for Image-Based 3D Reconstruction 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 10, 页码: 4774-4789
作者:  Fan, Bin;  Kong, Qingqun;  Wang, Xinchao;  Wang, Zhiheng;  Xiang, Shiming;  Pan, Chunhong;  Fua, Pascal
浏览  |  Adobe PDF(3986Kb)  |  收藏  |  浏览/下载：360/81  |  提交时间：2019/12/16
Local feature  image reconstruction  structure from motion (SFM)  3D vision  image matching  
Parameter optimization criteria guided 3D point cloud classification 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 卷号: 78, 期号: 4, 页码: 5081-5104
作者:  Li, Hongjun;  Meng, Weiliang;  Liu, Xinying;  Xiang, Shiming;  Zhang, Xiaopeng
浏览  |  Adobe PDF(5959Kb)  |  收藏  |  浏览/下载：436/70  |  提交时间：2019/07/12
Point cloud classification  Feature extraction  Conditional random field  Parameter optimization criterion  Probabilistic neural network  
Weakly Semantic Guided Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 10, 页码: 2504-2517
作者:  Yu, Tingzhao;  Wang, Lingfeng;  Da, Cheng;  Gu, Huxiang;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(18774Kb)  |  收藏  |  浏览/下载：459/114  |  提交时间：2019/05/15
Semantic guided module  action recognition  cross domain  3D convolution  attention model  
Joint spatial temporal attention for action recognition 期刊论文
Pattern Recognition Letters, 2018, 期号: 112, 页码: 226-233
作者:  Tingzhao Yu;  Chaoxu Guo;  Lingfeng Wang;  Huxiang Gu;  Shiming Xiang;  Chunhong Pan
浏览  |  Adobe PDF(1133Kb)  |  收藏  |  浏览/下载：448/196  |  提交时间：2019/05/06
Action Recognition  Spatial-temporal Attention  Two-stage