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A support vector approach for cross-modal search of images and texts,
CVIU(154), No. 1, 2017, pp. 48-63.
Elsevier DOI
1612
Image search
BibRef
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Recurrent Image Annotation with Explicit Inter-Label Dependencies,
ECCV20(XXIX: 191-207).
Springer DOI
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BibRef
Xue, J.F.[Jian-Fei],
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Video Data Modeling Using Sequential Correspondence Hierarchical
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multimodal data such as the mixture of visual words and speech words
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Liu, A.A.[An-An],
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Elsevier DOI
1712
Video to text
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Guan, J.N.[Jin-Ning],
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SP:IC(63), 2018, pp. 141-148.
Elsevier DOI
1804
Repeated review, Image captioning, Encoder-decoder, Multimodal layer
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Hu, M.,
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IP(26), No. 10, October 2017, pp. 4871-4884.
IEEE DOI
1708
image annotation, image retrieval, iterative methods,
learning (artificial intelligence), multimedia systems,
optimisation, pattern classification, RMSL,
data structural information,
digital technologies,
image semantic indexing, image semantic retrieval,
robust multiview semi-supervised learning, visual features,
Manifolds, Multimedia communication, Semantics,
Semisupervised learning, Supervised learning, Image annotation,
l2, p-norm, multi-view learning, semi-supervised learning
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Gil-Gonzalez, J.,
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1812
Multiple annotators, Kernel methods, Classification
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DOI Link
1904
BibRef
Park, C.C.,
Kim, B.,
Kim, G.,
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PAMI(41), No. 4, April 2019, pp. 999-1012.
IEEE DOI
1903
BibRef
Earlier:
Attend to You: Personalized Image Captioning with Context Sequence
Memory Networks,
CVPR17(6432-6440)
IEEE DOI
1711
Tagging, Twitter, Task analysis, Computational modeling, Writing,
Vocabulary, Context modeling, Image captioning, personalization,
convolutional neural networks.
Pattern recognition
BibRef
Yang, M.,
Zhao, W.,
Xu, W.,
Feng, Y.,
Zhao, Z.,
Chen, X.,
Lei, K.,
Multitask Learning for Cross-Domain Image Captioning,
MultMed(21), No. 4, April 2019, pp. 1047-1061.
IEEE DOI
1903
Task analysis, Image generation, Data models, Training data,
Neural networks, Training, Maximum likelihood estimation,
reinforcement learning
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Yu, N.,
Hu, X.,
Song, B.,
Yang, J.,
Zhang, J.,
Topic-Oriented Image Captioning Based on Order-Embedding,
IP(28), No. 6, June 2019, pp. 2743-2754.
IEEE DOI
1905
image classification, image matching, image retrieval,
learning (artificial intelligence), image matching,
cross-modal retrieval
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Li, X.,
Xu, C.,
Wang, X.,
Lan, W.,
Jia, Z.,
Yang, G.,
Xu, J.,
COCO-CN for Cross-Lingual Image Tagging, Captioning, and Retrieval,
MultMed(21), No. 9, September 2019, pp. 2347-2360.
IEEE DOI
1909
Image annotation, Task analysis, Training, Image retrieval, Internet,
Streaming media, Visualization, COCO-CN, Chinese language,
image retrieval
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Tian, C.[Chunna],
Tian, M.[Ming],
Jiang, M.M.[Meng-Meng],
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PRL(125), 2019, pp. 639-645.
Elsevier DOI
1909
Semant attributes, Attribute reweighting,
Cross-modal related semantics, Sentence re-ranking
BibRef
Niu, Y.,
Lu, Z.,
Wen, J.,
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Multi-Modal Multi-Scale Deep Learning for Large-Scale Image
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IEEE DOI
1901
feature extraction, image classification, image fusion,
image representation, learning (artificial intelligence),
label quantity prediction
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Huang, Y.,
Chen, J.,
Ouyang, W.,
Wan, W.,
Xue, Y.,
Image Captioning With End-to-End Attribute Detection and Subsequent
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IP(29), 2020, pp. 4013-4026.
IEEE DOI
2002
Image captioning, semantic attention, end-to-end training,
multimodal attribute detector, subsequent attribute predictor
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Zhao, W.,
Wu, X.,
Luo, J.,
Cross-Domain Image Captioning via Cross-Modal Retrieval and Model
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IEEE DOI
2012
Adaptation models, Task analysis, Visualization,
Computational modeling, Linguistics, Semantics, Image segmentation,
model adaptation
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Wang, H.[Hang],
Du, Y.T.[You-Tian],
Zhang, G.X.[Guang-Xun],
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MultMed(23), 2021, pp. 4400-4413.
IEEE DOI
2112
Visualization, Semantics, Image annotation, Image edge detection,
Data models, Adaptation models, Task analysis,
cross media
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Zhang, J.,
Mei, K.,
Zheng, Y.,
Fan, J.,
Integrating Part of Speech Guidance for Image Captioning,
MultMed(23), 2021, pp. 92-104.
IEEE DOI
2012
Visualization, Predictive models, Semantics, Feature extraction,
Task analysis, Speech processing, Part of speech,
multi-task learning
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PAMI(44), No. 11, November 2022, pp. 7348-7362.
IEEE DOI
2210
BibRef
Earlier: A1, A3, A2, A4:
Dense Relational Captioning: Triple-Stream Networks for
Relationship-Based Captioning,
CVPR19(6264-6273).
IEEE DOI
2002
Task analysis, Visualization, Proposals, Dogs, Motorcycles,
Natural languages, Genomics, Dense captioning, image captioning,
scene graph
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Fernando, B.[Basura],
Effective Multimodal Encoding for Image Paragraph Captioning,
IP(31), 2022, pp. 6381-6395.
IEEE DOI
2211
Image coding, Visualization, Encoding, Generators, Training,
Image reconstruction, Decoding, Multimodal encoding generation, autoencoder
BibRef
Duan, Y.Q.[Yi-Qun],
Wang, Z.[Zhen],
Li, Y.[Yi],
Wang, J.Y.[Jing-Ya],
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CVIU(228), 2023, pp. 103617.
Elsevier DOI
2302
Vision and language, Image captioning, Controllable generation
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Wu, X.X.[Xin-Xiao],
Li, T.[Tong],
Sentimental Visual Captioning using Multimodal Transformer,
IJCV(131), No. 1, January 2023, pp. 1073-1090.
Springer DOI
2303
BibRef
Ding, Z.W.[Zhi-Wei],
Lan, G.L.[Gui-Lin],
Song, Y.Z.[Yan-Zhi],
Yang, Z.W.[Zhou-Wang],
SGIR: Star Graph-Based Interaction for Efficient and Robust
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MultMed(26), 2024, pp. 4217-4229.
IEEE DOI
2403
Multimodal representation method that learns private and hub
representations of modalities.
Stars, Feature extraction, Visualization, Transformers,
Task analysis, Medical services, Noise measurement, modal interaction
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Zhao, W.T.[Wen-Tian],
Wu, X.X.[Xin-Xiao],
Boosting Entity-Aware Image Captioning With Multi-Modal Knowledge
Graph,
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IEEE DOI
2402
Visualization, Internet, Knowledge graphs, Online services, Encyclopedias,
Knowledge engineering, Knowledge based systems, knowledge graph
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Gao, J.L.[Jun-Long],
Li, J.[Jiguo],
Jia, C.M.[Chuan-Min],
Wang, S.S.[Shan-She],
Ma, S.W.[Si-Wei],
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Cross Modal Compression With Variable Rate Prompt,
MultMed(26), 2024, pp. 3444-3456.
IEEE DOI
2402
Into text description.
Image coding, Semantics, Earth Observing System, Decoding,
Visualization, Training, Measurement, Cross modal compression,
variable rate prompt
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Hu, W.Z.[Wen-Zhe],
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Xu, L.[Linfeng],
Spatial-Semantic Attention for Grounded Image Captioning,
ICIP22(61-65)
IEEE DOI
2211
Measurement, Grounding, Semantics, Predictive models,
Feature extraction, Data mining, Proposals,
Multimodal
BibRef
Sharif, N.[Naeha],
Jalwana, M.A.A.K.[Mohammad A.A.K.],
Bennamoun, M.[Mohammed],
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IVCNZ20(1-6)
IEEE DOI
2012
Visualization, Semantics, Pipelines, Computer architecture,
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NASNet
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Kuo, C.W.[Chia-Wen],
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Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual
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CVPR22(17948-17958)
IEEE DOI
2210
Measurement, Visualization, Analytical models, Graphical models,
Grounding, Computational modeling, Genomics, Vision + language
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Zhou, M.Y.[Ming-Yang],
Zhou, L.W.[Luo-Wei],
Wang, S.H.[Shuo-Hang],
Cheng, Y.[Yu],
Li, L.J.[Lin-Jie],
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Liu, J.J.[Jing-Jing],
UC2: Universal Cross-lingual Cross-modal Vision-and-Language
Pre-training,
CVPR21(4153-4163)
IEEE DOI
2111
Training, Visualization, Benchmark testing, Knowledge discovery,
Data models, Pattern recognition, Machine translation
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Laina, I.,
Rupprecht, C.,
Navab, N.,
Towards Unsupervised Image Captioning With Shared Multimodal
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ICCV19(7413-7423)
IEEE DOI
2004
natural language processing, text analysis,
multimodal embeddings, explicit supervision,
Semantics
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Akbari, H.[Hassan],
Karaman, S.[Svebor],
Bhargava, S.[Surabhi],
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Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding,
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IEEE DOI
2002
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Chen, T.H.,
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Chuang, C.Y.,
Hsu, W.T.,
Fu, J.,
Sun, M.,
Show, Adapt and Tell:
Adversarial Training of Cross-Domain Image Captioner,
ICCV17(521-530)
IEEE DOI
1802
image processing, inference mechanisms, text analysis, MSCOCO,
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Training data
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Pini, S.[Stefano],
Cornia, M.[Marcella],
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Towards Video Captioning with Naming:
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CIAP17(II:384-395).
Springer DOI
1711
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Pan, J.Y.[Jia-Yu],
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CMU-CS-TR-04-114. 2004.
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GCap: Graph-based Automatic Image Captioning,
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0406
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Advanced Tools for Video and Multimedia Mining,
CMU-CS-06-126, May 2006.
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Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Transformer for Captioning, Image Captioning .