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Amorphous Region Context Modeling for Scene Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 141-151
作者:  Zeng, Haitao;  Song, Xinhang;  Chen, Gongwei;  Jiang, Shuqiang
收藏  |  浏览/下载：18/0  |  提交时间：2022/12/07
Semantics  Feature extraction  Image segmentation  Convolution  Context modeling  Saliency detection  Layout  Graph neural network  scene recognition  semantic segmentation  
Food Recommendation: Framework, Existing Solutions, and Challenges 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 10, 页码: 2659-2671
作者:  Min, Weiqing;  Jiang, Shuqiang;  Jain, Ramesh
收藏  |  浏览/下载：45/0  |  提交时间：2020/12/10
Artificial intelligence  knowledge based systems  image recognition  data mining  health information management  
Multi-Task Deep Relative Attribute Learning for Visual Urban Perception 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 657-669
作者:  Min, Weiqing;  Mei, Shuhuan;  Liu, Linhu;  Wang, Yi;  Jiang, Shuqiang
收藏  |  浏览/下载：49/0  |  提交时间：2020/12/10
Visualization  Task analysis  Deep learning  Urban areas  Correlation  Computer vision  Predictive models  Visual urban perception  relative attribute  multi-task learning  
Scene Recognition With Prototype-Agnostic Scene Layout 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 5877-5888
作者:  Chen, Gongwei;  Song, Xinhang;  Zeng, Haitao;  Jiang, Shuqiang
收藏  |  浏览/下载：39/0  |  提交时间：2020/12/10
Layout  Semantics  Prototypes  Image recognition  Convolution  Neural networks  Deformable models  Scene classification  convolution neural networks  graph neural networks  scene layout  
Image Representations With Spatial Object-to-Object Relations for RGB-D Scene Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 525-537
作者:  Song, Xinhang;  Jiang, Shuqiang;  Wang, Bohan;  Chen, Chengpeng;  Chen, Gongwei
收藏  |  浏览/下载：41/0  |  提交时间：2020/12/10
Feature extraction  Object detection  Image recognition  Layout  Data models  Recurrent neural networks  Scene recognition  object-to-object relation  sequential representations  RGB-D  object detection  
Learning Effective RGB-D Representations for Scene Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 2, 页码: 980-993
作者:  Song, Xinhang;  Jiang, Shuqiang;  Herranz, Luis;  Chen, Chengpeng
收藏  |  浏览/下载：71/0  |  提交时间：2019/04/03
Scene recognition  deep learning  multimodal  RGB-D  video  CNN  RNN  
Hybrid incremental learning of new data and new classes for hand-held object recognition 期刊论文
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2019, 卷号: 58, 页码: 138-148
作者:  Chen, Chengpeng;  Min, Weiqing;  Li, Xue;  Jiang, Shuqiang
收藏  |  浏览/下载：71/0  |  提交时间：2019/04/03
Incremental learning  Object recognition  SVM  Human-machine interaction  
Multi-Scale Multi-Feature Context Modeling for Scene Recognition in the Semantic Manifold 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 6, 页码: 2721-2735
作者:  Song, Xinhang;  Jiang, Shuqiang;  Herranz, Luis
收藏  |  浏览/下载：51/0  |  提交时间：2019/12/12
Scene recognition  semantic manifold  semantic multinomial  multi-scale  context model  Markov random field  convolutional neural networks  
Category co-occurrence modeling for large scale scene recognition 期刊论文
PATTERN RECOGNITION, 2016, 卷号: 59, 页码: 98-111
作者:  Song, Xinhang;  Jiang, Shuqiang;  Herranz, Luis;  Kong, Yan;  Zheng, Kai
收藏  |  浏览/下载：45/0  |  提交时间：2019/12/13
Scene recognition  Co-occurrence modeling  Semantic space  Feature embedding  Multiple feature combination  Large scale image recognition