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Cross-modal retrieval
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Hierarchical sparse representation
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1802
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Gaussian processes, content-based retrieval, gradient methods,
learning (artificial intelligence), pattern classification,
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2102
Data models, Kernel, Correlation, Semantics, Gaussian processes,
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Convolutional neural networks, (CNNs)
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Multimodal fusion using dynamic hybrid models,
WACV14(556-563)
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1406
Computational modeling
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1806
Multiple data source mining, Pattern analysis,
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1906
Multi-atlas label fusion, Shape models, Medical image segmentation
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Multiobject Fusion With Minimum Information Loss,
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2002
Generalized covariance intersection,
Kullback-Leibler divergence, random finite set, data fusion,
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IP(30), 2021, pp. 1261-1274.
IEEE DOI
2012
Image fusion, Task analysis, Transforms, Optimization,
Magnetic resonance imaging, Dictionaries,
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Xu, H.[Han],
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U2Fusion: A Unified Unsupervised Image Fusion Network,
PAMI(44), No. 1, January 2022, pp. 502-518.
IEEE DOI
2112
Image fusion, Task analysis, Feature extraction, Measurement,
Supervised learning, Data mining, Training, Image fusion,
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Mao, Y.D.[Yu-Dong],
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Cross-Modality Fusion and Progressive Integration Network for
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MultMed(24), 2022, pp. 2435-2448.
IEEE DOI
2205
Feature extraction, Fuses, Decoding,
Predictive models, Pipelines, Visualization, Stereoscopic 3D image,
Progressive integration
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Wang, J.P.[Jin-Ping],
Li, J.[Jun],
Shi, Y.L.[Yan-Li],
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AM³Net: Adaptive Mutual-Learning-Based Multimodal Data Fusion Network,
CirSysVideo(32), No. 8, August 2022, pp. 5411-5426.
IEEE DOI
2208
Feature extraction, Laser radar, Convolution, Kernel,
Data integration, Convolutional neural networks,
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Tu, H.W.[Huang-Wei],
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RI-LPOH: Rotation-Invariant Local Phase Orientation Histogram for
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2310
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RFNet: Unsupervised Network for Mutually Reinforcing Multi-modal
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CVPR22(19647-19656)
IEEE DOI
2210
Measurement, Deformable models, Image registration,
Pattern recognition, Task analysis, Image fusion, Low-level vision
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Li, J.Y.[Jia-Yuan],
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Multimodal Image Matching:
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Elsevier DOI
2310
Image matching, Feature descriptor, Dataset, SAR-optical, Multimodal images
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Zhou, Y.[Yang],
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DOI Link
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Multi-dataset fusion for multi-task learning on face attribute
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Elsevier DOI
2310
Face attribute recognition, Multi-dataset fusion,
Multi-task learning, Knowledge distillation, Deep learning
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Less is Better: Exponential Loss for Cross-Modal Matching,
CirSysVideo(33), No. 9, September 2023, pp. 5271-5280.
IEEE DOI
2310
BibRef
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MAVEN: A Memory Augmented Recurrent Approach for Multimodal Fusion,
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IEEE DOI
2310
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Wang, Q.[Qun],
Yang, B.[Boli],
Li, L.[Luchun],
Liang, H.Y.[Hong-Yi],
Zhu, X.L.[Xiao-Lin],
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Within-Season Crop Identification by the Fusion of Spectral
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DOI Link
2310
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Pang, H.X.[Hua-Xin],
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Heterogeneous Feature Alignment and Fusion in Cross-Modal Augmented
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IEEE DOI
2311
BibRef
Zhang, J.[Jun],
Jiao, L.C.[Li-Cheng],
Ma, W.P.[Wen-Ping],
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Transformer Based Conditional GAN for Multimodal Image Fusion,
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IEEE DOI
2312
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Wang, J.P.[Jin-Ping],
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Mutually Beneficial Transformer for Multimodal Data Fusion,
CirSysVideo(33), No. 12, December 2023, pp. 7466-7479.
IEEE DOI
2312
BibRef
Luo, X.[Xing],
Fu, G.Z.[Gui-Zhong],
Yang, J.X.[Jiang-Xin],
Cao, Y.L.[Yan-Long],
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Multi-Modal Image Fusion via Deep Laplacian Pyramid Hybrid Network,
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WWW Link.
2312
BibRef
Yan, X.[Xiaohu],
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Multi-Modal Image Registration Based on Phase Exponent Differences of
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DOI Link
2401
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Chen, R.[Rui],
Zhao, L.[Long],
Two-Level Integrity-Monitoring Method for Multi-Source Information
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RS(16), No. 1, 2024, pp. xx-yy.
DOI Link
2401
BibRef
Li, J.Y.[Jia-Yao],
Li, L.[Li],
Sun, R.Z.[Rui-Zhi],
Yuan, G.[Gang],
Wang, S.[Shufan],
Sun, S.[Shulin],
MMAN-M2: Multiple multi-head attentions network based on encoder with
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PRL(177), 2024, pp. 110-120.
Elsevier DOI
2401
Multi-modal fusion, Multi-head attention,
Random missing modalities, Encoder-decoder, Missing modalities
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Zhao, Z.X.[Zi-Xiang],
Bai, H.[Haowen],
Zhu, Y.Z.[Yuan-Zhi],
Zhang, J.S.[Jiang-She],
Xu, S.[Shuang],
Zhang, Y.[Yulun],
Zhang, K.[Kai],
Meng, D.Y.[De-Yu],
Timofte, R.[Radu],
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ICCV23(8048-8059)
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2401
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Sun, Y.[Yuli],
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WWW Link.
2402
Multimodal change detection, Dissimilarity relationship,
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Zhao, Y.Y.[Yang-Yang],
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Zhu, P.H.[Pei-Hao],
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WWW Link.
2403
Image fusion, Transformers, Feature extraction, Biomedical imaging,
Deep learning, Heuristic algorithms, Visualization, fusion strategy
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Liu, J.Y.[Jin-Yuan],
Liu, Z.[Zhu],
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Ma, L.[Long],
Liu, R.S.[Ri-Sheng],
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Luo, Z.X.[Zhong-Xuan],
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2401
BibRef
Sippel, F.[Frank],
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Cross Spectral Image Reconstruction Using a Deep Guided Neural
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ICIP23(226-230)
IEEE DOI
2312
BibRef
Myers, A.[Audun],
Kvinge, H.[Henry],
Emerson, T.[Tegan],
TopFusion: Using Topological Feature Space for Fusion and Imputation
in Multi-Modal Data,
TAG-PRA23(600-609)
IEEE DOI
2309
BibRef
Xue, Z.[Zihui],
Marculescu, R.[Radu],
Dynamic Multimodal Fusion,
MULA23(2575-2584)
IEEE DOI
2309
BibRef
Li, X.[Xin],
Ma, T.[Tao],
Hou, Y.N.[Yue-Nan],
Shi, B.[Botian],
Yang, Y.C.[Yu-Chen],
Liu, Y.[Youquan],
Wu, X.J.[Xing-Jiao],
Chen, Q.[Qin],
Li, Y.[Yikang],
Qiao, Y.[Yu],
He, L.[Liang],
LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global
Cross-Modal Fusion,
CVPR23(17524-17534)
IEEE DOI
2309
BibRef
Kong, L.K.[Ling-Ke],
Qi, X.S.[X. Sharon],
Shen, Q.J.[Qi-Jin],
Wang, J.C.[Jia-Cheng],
Zhang, J.Y.[Jing-Yi],
Hu, Y.[Yanle],
Zhou, Q.C.[Qi-Chao],
Indescribable Multi-Modal Spatial Evaluator,
CVPR23(9853-9862)
IEEE DOI
2309
WWW Link.
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Zhao, Z.X.[Zi-Xiang],
Bai, H.[Haowen],
Zhang, J.S.[Jiang-She],
Zhang, Y.[Yulun],
Xu, S.[Shuang],
Lin, Z.[Zudi],
Timofte, R.[Radu],
Van Gool, L.J.[Luc J.],
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for
Multi-Modality Image Fusion,
CVPR23(5906-5916)
IEEE DOI
2309
BibRef
Li, Y.[Yaowei],
Quan, R.J.[Rui-Jie],
Zhu, L.C.[Lin-Chao],
Yang, Y.[Yi],
Efficient Multimodal Fusion via Interactive Prompting,
CVPR23(2604-2613)
IEEE DOI
2309
BibRef
Wetzer, E.[Elisabeth],
Lindblad, J.[Joakim],
Sladoje, N.[Nataša],
Can Representation Learning for Multimodal Image Registration be
Improved by Supervision of Intermediate Layers?,
IbPRIA23(261-275).
Springer DOI
2307
BibRef
Duan, J.L.[Jia-Li],
Chen, L.Q.[Li-Qun],
Tran, S.[Son],
Yang, J.[Jinyu],
Xu, Y.[Yi],
Zeng, B.[Belinda],
Chilimbi, T.[Trishul],
Multi-modal Alignment using Representation Codebook,
CVPR22(15630-15639)
IEEE DOI
2210
Training, Representation learning, Image coding, Dictionaries,
Benchmark testing, Pattern recognition, Vision + language
BibRef
Xue, Z.H.[Zi-Hui],
Ren, S.C.[Su-Cheng],
Gao, Z.Q.[Zheng-Qi],
Zhao, H.[Hang],
Multimodal Knowledge Expansion,
ICCV21(834-843)
IEEE DOI
2203
Multimodal sensors, Semisupervised learning, Data collection,
Data models, Internet, Task analysis, Vision + other modalities,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Zolfaghari, M.[Mohammadreza],
Zhu, Y.[Yi],
Gehler, P.[Peter],
Brox, T.[Thomas],
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video
Representations,
ICCV21(1430-1439)
IEEE DOI
2203
Vision + language, Vision + other modalities
BibRef
Panda, R.[Rameswar],
Chen, C.F.R.[Chun-Fu Richard],
Fan, Q.F.[Quan-Fu],
Sun, X.[Ximeng],
Saenko, K.[Kate],
Oliva, A.[Aude],
Feris, R.S.[Rogerio S.],
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition,
ICCV21(7556-7565)
IEEE DOI
2203
Adaptation models, Computational modeling, Standards,
Video analysis and understanding,
BibRef
Shi, Z.S.[Zhen-Sheng],
Liang, J.[Ju],
Li, Q.Q.[Qian-Qian],
Zheng, H.Y.[Hai-Yong],
Gu, Z.R.[Zhao-Rui],
Dong, J.Y.[Jun-Yu],
Zheng, B.[Bing],
Multi-Modal Multi-Action Video Recognition,
ICCV21(13658-13667)
IEEE DOI
2203
Convolutional codes, Visualization, Analytical models,
Computational modeling, Benchmark testing,
Video analysis and understanding
BibRef
Huang, S.C.[Shih-Cheng],
Shen, L.Y.[Li-Yue],
Lungren, M.P.[Matthew P.],
Yeung, S.[Serena],
GLoRIA: A Multimodal Global-Local Representation Learning Framework
for Label-efficient Medical Image Recognition,
ICCV21(3922-3931)
IEEE DOI
2203
Representation learning, Deep learning, Training,
Image segmentation, Image recognition, Image analysis,
Vision + language
BibRef
Chen, B.[Brian],
Rouditchenko, A.[Andrew],
Duarte, K.[Kevin],
Kuehne, H.[Hilde],
Thomas, S.[Samuel],
Boggust, A.[Angie],
Panda, R.[Rameswar],
Kingsbury, B.[Brian],
Feris, R.S.[Rogerio S.],
Harwath, D.[David],
Glass, J.[James],
Picheny, M.[Michael],
Chang, S.F.[Shih-Fu],
Multimodal Clustering Networks for Self-supervised Learning from
Unlabeled Videos,
ICCV21(7992-8001)
IEEE DOI
2203
Training, Optical losses, Location awareness, Annotations, Semantics,
Pipelines, Video analysis and understanding,
Vision + other modalities
BibRef
Liang, T.[Tao],
Lin, G.S.[Guo-Sheng],
Feng, L.[Lei],
Zhang, Y.[Yan],
Lv, F.M.[Feng-Mao],
Attention is not Enough: Mitigating the Distribution Discrepancy in
Asynchronous Multimodal Sequence Fusion,
ICCV21(8128-8136)
IEEE DOI
2203
Correlation, Fuses, Computational modeling, Benchmark testing,
Transformers, Acoustics, Video analysis and understanding,
BibRef
Liu, Y.Z.[Yun-Ze],
Fan, Q.N.[Qing-Nan],
Zhang, S.H.[Shang-Hang],
Dong, H.[Hao],
Funkhouser, T.[Thomas],
Yi, L.[Li],
Contrastive Multimodal Fusion with TupleInfoNCE,
ICCV21(734-743)
IEEE DOI
2203
Training, Representation learning, Benchmark testing,
Task analysis, Optimization, Vision + other modalities, Representation learning
BibRef
Son, C.H.,
Zhang, X.P.,
Multimodal fusion via a series of transfers for noise removal,
ICIP17(530-534)
IEEE DOI
1803
Image representation, Imaging,
Pattern recognition, Visual communication,
Near-infrared imaging, multimodal fusion
BibRef
Shrivastava, A.[Ashish],
Rastegari, M.[Mohammad],
Shekhar, S.[Sumit],
Chellappa, R.[Rama],
Davis, L.S.[Larry S.],
Class consistent multi-modal fusion with binary features,
CVPR15(2282-2291)
IEEE DOI
1510
BibRef
Kasiri, K.[Keyvan],
Fieguth, P.W.[Paul W.],
Clausi, D.A.[David A.],
Self-similarity measure for multi-modal image registration,
ICIP16(4498-4502)
IEEE DOI
1610
BibRef
Earlier:
Structural Representations for Multi-modal Image Registration Based on
Modified Entropy,
ICIAR15(82-89).
Springer DOI
1507
Brain.
BibRef
Glodek, M.[Michael],
Schels, M.[Martin],
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Multi-modal Fusion based on classifiers using reject options and Markov
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Forsberg, D.[Daniel],
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Westin, C.F.[Carl-Fredrik],
Multi-modal Image Registration Using Polynomial Expansion and Mutual
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WBIR12(40-49).
Springer DOI
1208
BibRef
Town, C.[Christopher],
Zhu, Z.G.[Zhi-Gang],
Sensor Fusion and Environmental Modelling for Multimodal Sentient
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MSCSAS07(1-2).
IEEE DOI
0706
BibRef
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Fusion, Range or Depth and Intensity or Color Data .