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I(2)Transformer: Intra- and Inter-Relation Embedding Transformer for TV Show Captioning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3565-3577
作者:  Tu, Yunbin;  Li, Liang;  Su, Li;  Gao, Shengxiang;  Yan, Chenggang;  Zha, Zheng-Jun;  Yu, Zhengtao;  Huang, Qingming
收藏  |  浏览/下载：20/0  |  提交时间：2022/12/07
Transformers  Semantics  Task analysis  Visualization  TV  Electronic mail  Graph neural networks  TV Show captioning  video and subtitle  intra-relation embedding  inter-relation embedding  transformer  
Graph Jigsaw Learning for Cartoon Face Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3961-3972
作者:  Li, Yong;  Lao, Lingjie;  Cui, Zhen;  Shan, Shiguang;  Yang, Jian
收藏  |  浏览/下载：22/0  |  提交时间：2022/12/07
Face recognition  Shape  Training  Image color analysis  Layout  Convolutional neural networks  Task analysis  Cartoon face recognition  jigsaw solving  graph convolutional network  self-supervised learning  
Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6487-6501
作者:  Zhu, Yao;  Chen, Yuefeng;  Li, Xiaodan;  Chen, Kejiang;  He, Yuan;  Tian, Xiang;  Zheng, Bolun;  Chen, Yaowu;  Huang, Qingming
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
Data models  Perturbation methods  Iterative methods  Training  Distributed databases  Predictive models  Neural networks  Adversarial transferability  adversarial attack  black-box attack  
Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 265-276
作者:  Jiang, Shuqiang;  Min, Weiqing;  Liu, Linhu;  Luo, Zhengdong
收藏  |  浏览/下载：486/0  |  提交时间：2019/12/10
Food recognition  ingredient knowledge  feature aggregation  convolutional neural networks  
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：38/0  |  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：40/0  |  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  
Deep Representation Learning With Part Loss for Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 6, 页码: 2860-2871
作者:  Yao, Hantao;  Zhang, Shiliang;  Hong, Richang;  Zhang, Yongdong;  Xu, Changsheng;  Tian, Qi
收藏  |  浏览/下载：83/0  |  提交时间：2019/08/16
Person re-identification  representation learning  part lass networks  convolutional neural networks  
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