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Efficient Token-Guided Image-Text Retrieval With Consistent Multimodal Contrastive Training 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 3622-3633
作者:  Liu, Chong;  Zhang, Yuqi;  Wang, Hongsong;  Chen, Weihua;  Wang, Fan;  Huang, Yan;  Shen, Yi-Dong;  Wang, Liang
收藏  |  浏览/下载:92/0  |  提交时间:2023/11/17
Index Terms-Image-text retrieval  multimodal transformer  multimodal contrastive training  
LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 9, 页码: 4274-4286
作者:  Wang, Yunlong;  Liu, Fei;  Zhang, Kunbo;  Hou, Guangqi;  Sun, Zhenan;  Tan, Tieniu
Adobe PDF(4648Kb)  |  收藏  |  浏览/下载:330/23  |  提交时间:2018/10/10
Implicitly Multi-scale Fusion  Bidirectional Recurrent Convolutional Neural Network  Light-field  Super-resolution  
Beyond Explicit Codebook Generation: Visual Representation Using Implicitly Transferred Codebooks 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 12, 页码: 5777-5788
作者:  Zhang, Chunjie;  Cheng, Jian;  Liu, Jing;  Pang, Junbiao;  Huang, Qingming;  Tian, Qi
浏览  |  Adobe PDF(2652Kb)  |  收藏  |  浏览/下载:307/58  |  提交时间:2016/06/14
Codebook Transfer  Image Representation  Classification  Reconstruction  Sparse Constraint  
Stroke Detector and Structure Based Models for Character Recognition: A Comparative Study 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 12, 页码: 4952-4964
作者:  Shi, Cun-Zhao;  Gao, Song;  Liu, Meng-Tao;  Qi, Cheng-Zuo;  Wang, Chun-Heng;  Xiao, Bai-Hua;  Shi Cunzhao
浏览  |  Adobe PDF(4543Kb)  |  收藏  |  浏览/下载:425/72  |  提交时间:2015/11/12
Character Recognition  Stroke Detector  Structure  Part-based Model  Tree-structure  Spatiality Embedded Codeword  
Foreground Object Detection Using Top-Down Information Based on EM Framework 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, 卷号: 21, 期号: 9, 页码: 4204-4217
作者:  Liu, Zhou;  Huang, Kaiqi;  Tan, Tieniu
收藏  |  浏览/下载:177/0  |  提交时间:2015/08/12
Background Model  Expectation Maximization (Em) Framework  Foreground Detection  Markov Random Fields (Mrfs)