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Supervised Discriminative Discrete Hashing for Cross-Modal Retrieval Conference paper
Lu, Xingyu, Pun, Chi Man. Supervised Discriminative Discrete Hashing for Cross-Modal Retrieval[C]:Springer, Cham, 2023, 599-613.
Authors:  Lu, Xingyu;  Pun, Chi Man
Favorite | TC[Scopus]:0 | Submit date：2024/02/22
Cross-modal Retrieval  Hashing  Multi-label  
Deep Supervised Dual Cycle Adversarial Network for Cross-Modal Retrieval Journal article
Lei Liao, Meng Yang, Bob Zhang. Deep Supervised Dual Cycle Adversarial Network for Cross-Modal Retrieval[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 33(2), 920-934.
Authors:  Lei Liao;  Meng Yang;  Bob Zhang
Favorite | TC[WOS]:10 TC[Scopus]:12  IF:8.3/7.1 | Submit date：2023/01/30
Cross-modal Retrieval  Dual Cycle Generative Adversarial Networks  Deep Supervised Learning  
Prototype-Based Discriminative Feature Representation for Class-incremental Cross-modal Retrieval Journal article
Zhu, Shaoquan, Feng, Yong, Zhou, Mingliang, Qiang, Baohua, Fang, Bin, Wei, Ran. Prototype-Based Discriminative Feature Representation for Class-incremental Cross-modal Retrieval[J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2021, 35(5).
Authors:  Zhu, Shaoquan;  Feng, Yong;  Zhou, Mingliang;  Qiang, Baohua;  Fang, Bin; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:0.9/1.0 | Submit date：2021/12/07
Cross-modal Retrieval  Prototype Learning  Intra-class Compactness  Inter-class Sparsity  Discriminative Representation  
Semantic ranking structure preserving for cross-modal retrieval Journal article
Liu, Hui, Feng, Yong, Zhou, Mingliang, Qiang, Baohua. Semantic ranking structure preserving for cross-modal retrieval[J]. Applied Intelligence, 2021, 51(3), 1802-1812.
Authors:  Liu, Hui;  Feng, Yong;  Zhou, Mingliang;  Qiang, Baohua
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:3.4/3.9 | Submit date：2021/12/07
Common Space Learning  Cross-modal Retrieval  Graph Convolutional  Semantic Structure Preserving  
Deep adversarial quantization network for cross-modal retrieval Conference paper
Zhou, Yu, Feng, Yong, Zhou, Mingliang, Qiang, Baohua, U, Leong Hou, Zhu, Jiajie. Deep adversarial quantization network for cross-modal retrieval[C], NEW YORK, NY 10017 USA:IEEE, 2021, 4325-4329.
Authors:  Zhou, Yu;  Feng, Yong;  Zhou, Mingliang;  Qiang, Baohua;  U, Leong Hou; et al.
Favorite | TC[WOS]:2 TC[Scopus]:4 | Submit date：2022/05/13
Adversarial Learning  Quantization  Innerproduct Similarity  Cross-modal Retrieval  
Hybrid Deep Neural Network-Based Cross-Modal Image and Text Retrieval Method for Large-Scale Data Journal article
Qiang, Baohua, Chen, Ruidong, Xie, Yuan, Zhou, Mingliang, Pan, Riwei, Zhao, Tian. Hybrid Deep Neural Network-Based Cross-Modal Image and Text Retrieval Method for Large-Scale Data[J]. Journal of Circuits, Systems and Computers, 2021, 30(1).
Authors:  Qiang, Baohua;  Chen, Ruidong;  Xie, Yuan;  Zhou, Mingliang;  Pan, Riwei; et al.
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:0.9/0.9 | Submit date：2021/12/07
Cross-modal  Hybrid Deep Neural Network  Image And Text Retrieval  Large-scale Data