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CASIA OpenIR
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Learning adversarial point-wise domain alignment for stereo matching 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 564-574
作者:  Zhang, Chenghao;  Meng, Gaofeng;  Xu, Richard Yi Da;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(3885Kb)  |  收藏  |  浏览/下载：278/53  |  提交时间：2022/09/19
Stereo Matching  Domain adaptation  Point-wise linear transformation  Adversarial learning  
DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2905-2920
作者:  Zhang, Xinbang;  Chang, Jianlong;  Guo, Yiwen;  Meng, Gaofeng;  Xiang, Shiming;  Lin, Zhouchen;  Pan, Chunhong
Adobe PDF(1346Kb)  |  收藏  |  浏览/下载：304/50  |  提交时间：2021/11/02
Computer architecture  Search problems  Optimization  Task analysis  Bridges  Binary codes  Estimation  Neural architecture search(NAS)  ensemble gumbel-softmax  distribution guided sampling  
Local-Aggregation Graph Networks 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 卷号: 42, 期号: 11, 页码: 2874-2886
作者:  Jianlong Chang;  Lingfeng Wang;  Gaofeng Meng;  Shiming Xiang;  Chunhong Pan
浏览  |  Adobe PDF(3090Kb)  |  收藏  |  浏览/下载：249/90  |  提交时间：2020/10/20
Local-aggregation function  local-aggregation graph neural network  non-Euclidean structured signal  
Learning graph structure via graph convolutional networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 95, 期号: -, 页码: 308-318
作者:  Zhang, Qi;  Chang, Jianlong;  Meng, Gaofeng;  Xu, Shibiao;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(2475Kb)  |  收藏  |  浏览/下载：451/107  |  提交时间：2019/12/16
Deep learning  Graph convolutional neural networks  Graph structure learning  Changeable kernel sizes  
Blind image quality assessment via learnable attention-based pooling 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 91, 页码: 332-344
作者:  Gu, Jie;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(3081Kb)  |  收藏  |  浏览/下载：502/189  |  提交时间：2019/05/15
Image quality assessment  Perceptual image quality  Visual attention  Convolutional neural network  Learnable pooling  
Deep unsupervised learning with consistent inference of latent representations 期刊论文
PATTERN RECOGNITION, 2018, 卷号: 77, 期号: 5, 页码: 438-453
作者:  Chang, Jianlong;  Wang, Lingfeng;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(2654Kb)  |  收藏  |  浏览/下载：448/171  |  提交时间：2018/01/16
Deep Unsupervised Learning  Consistent Inference Of Latent Representations  
FusionNet: Edge Aware Deep Convolutional Networks for Semantic Segmentation of Remote Sensing Harbor Images 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 卷号: 10, 期号: 12, 页码: 5769-5783
作者:  Cheng, Dongcai;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(1609Kb)  |  收藏  |  浏览/下载：881/399  |  提交时间：2017/12/06
Edge Aware Regularization  Harbor Images  Multitask Learning  Semantic Segmentation  
Efficient Sea--Land Segmentation Using Seeds Learning and Edge Directed Graph Cut 期刊论文
Neurocomputing, 2016, 期号: 207, 页码: 36-47
作者:  Cheng, Dongcai;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(5764Kb)  |  收藏  |  浏览/下载：351/74  |  提交时间：2017/12/06
Sea--land Segmentation  Graph Cut (Gc)  Superpixel  Multi-feature Descriptor  Seeds Learning  
Blind Image Quality Assessment via Vector Regression and Object Oriented Pooling 期刊论文
IEEE Transactions on Multimedia, 2018, 卷号: 20, 期号: 5, 页码: 1140-1153
作者:  Jie, Gu;  Gaofeng, Meng;  Judith A., Redi;  Shiming, Xiang;  Chunhong, Pan
浏览  |  Adobe PDF(1379Kb)  |  收藏  |  浏览/下载：478/163  |  提交时间：2017/09/15
Convolutional neural network  image quality assessment  perceptual image quality  object oriented pooling  vector regression  
Discriminative Least Squares Regression for Multiclass Classification and Feature Selection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2012, 卷号: 23, 期号: 11, 页码: 1738-1754
作者:  Xiang, Shiming;  Nie, Feiping;  Meng, Gaofeng;  Pan, Chunhong;  Zhang, Changshui
浏览  |  Adobe PDF(725Kb)  |  收藏  |  浏览/下载：676/218  |  提交时间：2015/09/18
Feature Selection  Least Squares Regression  Multiclass Classification  Sparse Learning