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Multi-dataset fusion for multi-task learning on face attribute
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PRL(173), 2023, pp. 72-78.
Elsevier DOI
2310
Face attribute recognition, Multi-dataset fusion,
Multi-task learning, Knowledge distillation, Deep learning
BibRef
Wei, J.[Jiwei],
Yang, Y.[Yang],
Xu, X.[Xing],
Song, J.K.[Jing-Kuan],
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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
Islam, M.M.[Md Mofijul],
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MAVEN: A Memory Augmented Recurrent Approach for Multimodal Fusion,
MultMed(25), 2023, pp. 3694-3708.
IEEE DOI
2310
BibRef
Wang, Q.[Qun],
Yang, B.[Boli],
Li, L.[Luchun],
Liang, H.Y.[Hong-Yi],
Zhu, X.L.[Xiao-Lin],
Cao, R.[Ruyin],
Within-Season Crop Identification by the Fusion of Spectral
Time-Series Data and Historical Crop Planting Data,
RS(15), No. 20, 2023, pp. 5043.
DOI Link
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Zhang, J.[Jun],
Jiao, L.C.[Li-Cheng],
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Liu, F.[Fang],
Liu, X.[Xu],
Li, L.L.[Ling-Ling],
Chen, P.[Puhua],
Yang, S.Y.[Shu-Yuan],
Transformer Based Conditional GAN for Multimodal Image Fusion,
MultMed(25), 2023, pp. 8988-9001.
IEEE DOI
2312
BibRef
Wang, J.P.[Jin-Ping],
Tan, X.J.[Xiao-Jun],
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],
Cao, Y.P.[Yan-Peng],
Multi-Modal Image Fusion via Deep Laplacian Pyramid Hybrid Network,
CirSysVideo(33), No. 12, December 2023, pp. 7354-7369.
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2312
BibRef
Yan, X.[Xiaohu],
Cao, Y.H.[Yi-Hang],
Yang, Y.J.[Yi-Jun],
Yao, Y.X.[Yong-Xiang],
Multi-Modal Image Registration Based on Phase Exponent Differences of
the Gaussian Pyramid,
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DOI Link
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BibRef
Chen, R.[Rui],
Zhao, L.[Long],
Two-Level Integrity-Monitoring Method for Multi-Source Information
Fusion Navigation,
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
missing modalities,
PRL(177), 2024, pp. 110-120.
Elsevier DOI
2401
Multi-modal fusion, Multi-head attention,
Random missing modalities, Encoder-decoder, Missing modalities
BibRef
Zhao, Z.X.[Zi-Xiang],
Bai, H.W.[Hao-Wen],
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],
Van Gool, L.J.[Luc J.],
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion,
ICCV23(8048-8059)
IEEE DOI Code:
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2401
BibRef
Sun, Y.[Yuli],
Lei, L.[Lin],
Li, Z.[Zhang],
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Similarity and dissimilarity relationships based graphs for
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PandRS(208), 2024, pp. 70-88.
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WWW Link.
2402
Multimodal change detection, Dissimilarity relationship,
k-farthest neighbors, k-nearest neighbors, Image regression
BibRef
Zhao, Y.Y.[Yang-Yang],
Zheng, Q.C.[Qing-Chun],
Zhu, P.H.[Pei-Hao],
Zhang, X.[Xu],
Ma, W.P.[Wen-Peng],
TUFusion: A Transformer-Based Universal Fusion Algorithm for
Multimodal Images,
CirSysVideo(34), No. 3, March 2024, pp. 1712-1725.
IEEE DOI Code:
WWW Link.
2403
Image fusion, Transformers, Feature extraction, Biomedical imaging,
Deep learning, Heuristic algorithms, Visualization, fusion strategy
BibRef
Moreshet, A.[Aviad],
Keller, Y.[Yosi],
Attention-based multimodal image matching,
CVIU(241), 2024, pp. 103949.
Elsevier DOI
2403
Multisensor image matching, Deep learning, Attention-based
BibRef
Liu, J.Y.[Jin-Yang],
Li, S.T.[Shu-Tao],
Dian, R.[Renwei],
Song, Z.[Ze],
Focus Relationship Perception for Unsupervised Multi-Focus Image
Fusion,
MultMed(26), 2024, pp. 6155-6165.
IEEE DOI
2404
Image fusion, Feature extraction, Loss measurement, Data mining,
Visual perception, Tensors, Optimization, Multi-focus image fusion,
unsupervised learning
BibRef
He, X.W.[Xin-Wei],
Cheng, S.[Silin],
Liang, D.K.[Ding-Kang],
Bai, S.[Song],
Wang, X.[Xi],
Zhu, Y.Y.[Ying-Ying],
LATFormer: Locality-Aware Point-View Fusion Transformer for 3D shape
recognition,
PR(151), 2024, pp. 110413.
Elsevier DOI
2404
3D shape retrieval and classification, Point cloud, Multi-view,
Multimodal fusion, Transformer
BibRef
Almarines, N.R.[Nico R.],
Hashimoto, S.[Shizuka],
Pulhin, J.M.[Juan M.],
Tiburan, C.L.[Cristino L.],
Magpantay, A.T.[Angelica T.],
Saito, O.[Osamu],
Influence of Image Compositing and Multisource Data Fusion on
Multitemporal Land Cover Mapping of Two Philippine Watersheds,
RS(16), No. 12, 2024, pp. 2167.
DOI Link
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BibRef
Sun, L.[Le],
Tang, M.Q.[Meng-Qi],
Muhammad, G.[Ghulam],
CABnet: A channel attention dual adversarial balancing network for
multimodal image fusion,
IVC(147), 2024, pp. 105065.
Elsevier DOI
2406
Image processing, Infrared and visible image fusion,
Complementary information extract, Adaptive factor
BibRef
Deng, X.[Xin],
Liu, E.[Enpeng],
Gao, C.[Chao],
Li, S.X.[Sheng-Xi],
Gu, S.H.[Shu-Hang],
Xu, M.[Mai],
CrossHomo: Cross-Modality and Cross-Resolution Homography Estimation,
PAMI(46), No. 8, August 2024, pp. 5725-5742.
IEEE DOI
2407
Estimation, Image resolution, Feature extraction, Superresolution,
Deep learning, Task analysis, Spatial resolution,
multi-modal image registration
BibRef
Lin, S.Y.[Shu-Yuan],
Huang, F.R.[Fei-Ran],
Lai, T.T.[Tao-Tao],
Lai, J.H.[Jian-Huang],
Wang, H.Z.[Han-Zi],
Weng, J.[Jian],
Robust Heterogeneous Model Fitting for Multi-source Image
Correspondences,
IJCV(132), No. 8, August 2024, pp. 2907-2928.
Springer DOI
2408
BibRef
Li, C.[Can],
Zuo, Z.[Zhen],
Tong, X.Z.[Xiao-Zhong],
Huang, H.[Honghe],
Yuan, S.D.[Shu-Dong],
Dang, Z.Y.[Zhao-Yang],
CPROS: A Multimodal Decision-Level Fusion Detection Method Based on
Category Probability Sets,
RS(16), No. 15, 2024, pp. 2745.
DOI Link
2408
BibRef
Deng, Y.[Yaohua],
Liu, X.[Xiali],
Yang, K.[Kenan],
Li, Z.H.[Ze-Hang],
Flexible thin parts multi-target positioning method of multi-level
feature fusion,
IET-IPR(18), No. 11, 2024, pp. 2996-3012.
DOI Link
2409
Gaussian processes, image fusion, image recognition, object recognition
BibRef
Tang, Y.Q.[Yu-Qi],
Yang, X.[Xin],
Han, T.[Te],
Sun, K.[Kai],
Guo, Y.Q.[Yu-Qiang],
Hu, J.[Jun],
Iterative Optimization-Enhanced Contrastive Learning for Multimodal
Change Detection,
RS(16), No. 19, 2024, pp. 3624.
DOI Link
2410
BibRef
Han, W.C.[Wen-Cheng],
Dong, X.P.[Xing-Ping],
Zhang, Y.Y.[Yi-Yuan],
Crandall, D.[David],
Xu, C.Z.[Cheng-Zhong],
Shen, J.B.[Jian-Bing],
Asymmetric Convolution: An Efficient and Generalized Method to Fuse
Feature Maps in Multiple Vision Tasks,
PAMI(46), No. 11, November 2024, pp. 7363-7376.
IEEE DOI
2410
Task analysis, Fuses, Feature extraction, Visualization, Convolution,
Target tracking, Shape, Asymmetric convolution, feature maps,
vision tasks
BibRef
Wu, Q.[Quan],
Yu, Q.[Qida],
A Fast Sequential Similarity Detection Algorithm for Multi-Source
Image Matching,
RS(16), No. 19, 2024, pp. 3589.
DOI Link
2410
BibRef
Saidi, S.[Souad],
Idbraim, S.[Soufiane],
Karmoude, Y.[Younes],
Masse, A.[Antoine],
Arbelo, M.[Manuel],
Deep-Learning for Change Detection Using Multi-Modal Fusion of Remote
Sensing Images: A Review,
RS(16), No. 20, 2024, pp. 3852.
DOI Link
2411
BibRef
Liu, Y.Y.[Yu-Yan],
He, W.[Wei],
Zhang, H.Y.[Hong-Yan],
GRiD: Guided Refinement for Detector-Free Multimodal Image Matching,
IP(33), 2024, pp. 5892-5906.
IEEE DOI
2411
Feature extraction, Image matching, Transformers, Optical imaging,
Detectors, Semantics, Image edge detection, Adaptive optics, multimodal images
BibRef
Wang, J.P.[Jin-Peng],
Su, N.[Nan],
Zhao, C.H.[Chun-Hui],
Yan, Y.M.[Yi-Ming],
Feng, S.[Shou],
Multi-Modal Object Detection Method Based on Dual-Branch Asymmetric
Attention Backbone and Feature Fusion Pyramid Network,
RS(16), No. 20, 2024, pp. 3904.
DOI Link
2411
BibRef
Liu, Y.[Yang],
Liu, F.[Fang],
Jiao, L.C.[Li-Cheng],
Bao, Q.Y.[Qian-Yue],
Sun, L.[Long],
Li, S.[Shuo],
Li, L.L.[Ling-Ling],
Liu, X.[Xu],
Multi-Grained Gradual Inference Model for Multimedia Event Extraction,
CirSysVideo(34), No. 10, October 2024, pp. 10507-10520.
IEEE DOI
2411
Visualization, Data mining, Task analysis, Streaming media,
Feature extraction, Boats, multimodal alignment
BibRef
Wang, X.X.[Xiang-Xiang],
Fang, L.X.[Li-Xing],
Zhao, J.L.[Jun-Li],
Pan, Z.K.[Zhen-Kuan],
Li, H.[Hui],
Li, Y.[Yi],
MMAE: A universal image fusion method via mask attention mechanism,
PR(158), 2025, pp. 111041.
Elsevier DOI Code:
WWW Link.
2411
Deep learning, Image fusion, Universal, Mask attention mechanism
BibRef
Zhang, D.[Duoyi],
Bashar, M.A.[Md Abul],
Nayak, R.[Richi],
A novel multi-modal fusion method based on uncertainty-guided
meta-learning,
PR(158), 2025, pp. 110993.
Elsevier DOI
2411
Multi-modal fusion, Neural networks, Feature-level bias,
Uncertainty estimation, Meta-learning framework
BibRef
Lv, T.[Ting],
Ji, C.M.[Chuan-Ming],
Jiang, H.[Hong],
Liu, Y.[Yu],
HF2TNet: A Hierarchical Fusion Two-Stage Training Network for
Infrared and Visible Image Fusion,
SPLetters(31), 2024, pp. 3164-3168.
IEEE DOI
2411
Feature extraction, Training, Image reconstruction, Image fusion,
Transformers, Decoding, Convolution, Vectors
BibRef
Meng, X.C.[Xiang-Chao],
Chen, C.Q.[Chao-Qi],
Liu, Q.[Qiang],
Shao, F.[Feng],
Multi-domain pseudo-reference quality evaluation for infrared and
visible image fusion,
IET-IPR(18), No. 13, 2024, pp. 4095-4113.
DOI Link
2411
image enhancement, image fusion
BibRef
Bai, Y.[Yang],
Gao, M.[Meijing],
Li, S.Y.[Shi-Yu],
Wang, P.[Ping],
Guan, N.[Ning],
Yin, H.Z.[Hao-Zheng],
Yan, Y.H.[Yong-Hao],
IBFusion: An Infrared and Visible Image Fusion Method Based on
Infrared Target Mask and Bimodal Feature Extraction Strategy,
MultMed(26), 2024, pp. 10610-10622.
IEEE DOI
2411
Feature extraction, Image fusion, Data mining, Deep learning,
Training, Generative adversarial networks, Degradation,
bimodal feature extraction
BibRef
Wang, X.X.[Xiang-Xiang],
Fang, L.X.[Li-Xing],
Zhao, J.L.[Jun-Li],
Pan, Z.K.[Zhen-Kuan],
Li, H.[Hui],
Li, Y.[Yi],
UUD-Fusion: An unsupervised universal image fusion approach via
generative diffusion model,
CVIU(249), 2024, pp. 104218.
Elsevier DOI Code:
WWW Link.
2412
Two-stage unsupervised universal image fusion.
Unsupervised, Universal, Image fusion, Diffusion, Sampling algorithm
BibRef
Dong, A.[Aimei],
Wang, L.[Long],
Liu, J.[Jian],
Xu, J.Y.[Jing-Yuan],
Zhao, G.X.[Gui-Xin],
Zhai, Y.[Yi],
Lv, G.H.[Guo-Hua],
Cheng, J.[Jinyong],
Co-Enhancement of Multi-Modality Image Fusion and Object Detection
via Feature Adaptation,
CirSysVideo(34), No. 12, December 2024, pp. 12624-12637.
IEEE DOI
2501
Image fusion, Task analysis, Semantics, Feature extraction,
Object detection, Visualization, Visual perception, Image fusion,
mutual promotion
BibRef
Wu, X.[Xiao],
Cao, Z.H.[Zi-Han],
Huang, T.Z.[Ting-Zhu],
Deng, L.J.[Liang-Jian],
Chanussot, J.[Jocelyn],
Vivone, G.[Gemine],
Fully-Connected Transformer for Multi-Source Image Fusion,
PAMI(47), No. 3, March 2025, pp. 2071-2088.
IEEE DOI
2502
Algebra, Imaging, Pansharpening, Image representation, Transformers,
Mathematical models, Computational efficiency, Sensors,
visible and infrared image fusion
BibRef
Hussain, I.[Israr],
Tan, S.Q.[Shun-Quan],
Huang, J.W.[Ji-Wu],
Few-Shot Based Learning Recaptured Image Detection with Multi-Scale
Feature Fusion and Attention,
PR(161), 2025, pp. 111248.
Elsevier DOI
2502
Recaptured image detection, Few-shot learning,
Multi-scale attention, Attention mechanism, Efficient-Net-models
BibRef
Tang, H.[Hao],
Liu, D.W.[Da-Wei],
Shen, C.C.[Cheng-Chao],
Data-efficient multi-scale fusion vision transformer,
PR(161), 2025, pp. 111305.
Elsevier DOI Code:
WWW Link.
2502
Deep learning, Image classification, Vision transformer,
Data efficiency, Multi-scale fusion
BibRef
Liu, T.F.[Tong-Fei],
Zhang, M.Y.[Ming-Yang],
Gong, M.[Maoguo],
Zhang, Q.F.[Qing-Fu],
Jiang, F.L.[Fen-Long],
Zheng, H.H.[Han-Hong],
Lu, D.[Di],
Commonality Feature Representation Learning for Unsupervised
Multimodal Change Detection,
IP(34), 2025, pp. 1219-1233.
IEEE DOI
2502
Feature extraction, Image reconstruction, Training, Data mining,
Autoencoders, Representation learning, Image sensors, Decoding,
commonality feature
BibRef
Liu, Z.W.[Zhan-Wen],
Cheng, J.[Juanru],
Fan, J.[Jin],
Lin, S.[Shan],
Wang, Y.[Yang],
Zhao, X.M.[Xiang-Mo],
Multi-Modal Fusion Based on Depth Adaptive Mechanism for 3D Object
Detection,
MultMed(27), 2025, pp. 707-717.
IEEE DOI
2502
Point cloud compression, Feature extraction, Object detection,
Laser radar, Image color analysis, Detectors, Deep learning, camera sensor
BibRef
Dong, C.[Chunru],
Wang, L.Z.[Li-Zhen],
Zhang, F.[Feng],
Hua, Q.[Qiang],
Multi-modal Few-shot Image Recognition with enhanced semantic and
visual integration,
IVC(157), 2025, pp. 105490.
Elsevier DOI
2504
Few-shot image recognition, Multi-modal fusion, Similarity measurement
BibRef
Tang, L.[Long],
Liu, Y.[Yelei],
Tian, Y.J.[Ying-Jie],
Pardalos, P.M.[Panos M],
Complementary label learning with multi-view data and a
semi-supervised labeling mechanism,
PR(165), 2025, pp. 111651.
Elsevier DOI
2505
Complementary label learning, Semi-supervised labeling,
Multi-view fusion, Consensus principle, Complementary principle
BibRef
Zhou, M.[Man],
Huang, J.[Jie],
Yan, K.Y.[Ke-Yu],
Hong, D.F.[Dan-Feng],
Jia, X.P.[Xiu-Ping],
Chanussot, J.[Jocelyn],
Li, C.Y.[Chong-Yi],
A General Spatial-Frequency Learning Framework for Multimodal Image
Fusion,
PAMI(47), No. 7, July 2025, pp. 5281-5298.
IEEE DOI
2506
Frequency-domain analysis, Superresolution, Image fusion,
Task analysis, Spatial resolution, Remote sensing, Convolution,
multimodal image fusion
BibRef
Wang, Z.[Zeyu],
Zhao, L.[Libo],
Zhang, J.Z.[Ji-Zheng],
Song, R.[Rui],
Song, H.Y.[Hai-Yu],
Meng, J.[Jiana],
Wang, S.D.[Shi-Dong],
Multi-Text Guidance Is Important: Multi-Modality Image Fusion via Large
Generative Vision-Language Model,
IJCV(133), No. 7, July 2025, pp. 4646-4668.
Springer DOI
2506
BibRef
Liu, Y.[Yi],
Li, C.X.[Cheng-Xin],
Xu, S.K.[Shou-Kun],
Han, J.G.[Jun-Gong],
Part-Whole Relational Fusion Towards Multi-Modal Scene Understanding,
IJCV(133), No. 7, July 2025, pp. 4483-4503.
Springer DOI Code:
WWW Link.
2506
BibRef
Ravi, J.[Jampani],
Narmadha, R.,
A Systematic Literature Review on Multimodal Image Fusion Models with
Challenges and Future Research Trends,
IJIG(25), No. 4, July 2025, pp. 2550039.
DOI Link
2507
BibRef
Liu, Y.P.[Ye-Peng],
Sun, Z.C.[Zhi-Chao],
Yu, B.S.[Bao-Sheng],
Zhao, Y.T.[Yi-Tian],
Du, B.[Bo],
Xu, Y.C.[Yong-Chao],
Cheng, J.[Jun],
MIFNet: Learning Modality-Invariant Features for Generalizable
Multimodal Image Matching,
IP(34), 2025, pp. 3593-3608.
IEEE DOI Code:
WWW Link.
2507
Image matching, Feature extraction, Training, Graph neural networks,
Diffusion models, Detectors, Semantics, feature descriptor optimization
BibRef
Yang, Z.[Zeyu],
Song, N.[Nan],
Li, W.[Wei],
Zhu, X.T.[Xia-Tian],
Zhang, L.[Li],
Torr, P.H.S.[Philip H.S.],
DeepInteraction++: Multi-Modality Interaction for Autonomous Driving,
PAMI(47), No. 8, August 2025, pp. 6749-6763.
IEEE DOI
2507
Point cloud compression, Object detection, Feature extraction,
Laser radar, Autonomous vehicles, Decoding, Cameras, Transformers,
multi-modal fusion
BibRef
Tran, Q.H.[Quoc-Huy],
Ahmed, M.[Muhammad],
Popattia, M.[Murad],
Ahmed, M.H.[M. Hassan],
Konin, A.[Andrey],
Zia, M.Z.[M. Zeeshan],
Learning by Aligning 2D Skeleton Sequences and Multi-Modality Fusion,
ECCV24(L: 141-161).
Springer DOI
2412
BibRef
Li, C.X.[Chen-Xin],
Liu, X.Y.[Xin-Yu],
Wang, C.[Cheng],
Liu, Y.F.[Yi-Fan],
Yu, W.H.[Wei-Hao],
Shao, J.[Jing],
Yuan, Y.X.[Yi-Xuan],
GTP-4O: Modality-prompted Heterogeneous Graph Learning for Omni-modal
Biomedical Representation,
ECCV24(IV: 168-187).
Springer DOI
2412
BibRef
Song, Z.Q.[Ze-Qun],
Wang, L.F.[Ling-Feng],
Dual Multi-Modal Feature Fusion Network for the Evaluation of
Osteosarcoma,
ICIP24(2937-2943)
IEEE DOI
2411
Accuracy, Feature extraction, Data augmentation, Tumors,
Biomedical imaging, Dual input, Multi-modal information, Osteosarcoma evaluation
BibRef
Bahaduri, B.[Bissmella],
Ming, Z.H.[Zu-Heng],
Feng, F.C.[Fang-Chen],
Mokraoui, A.[Anissa],
Multimodal Transformer Using Cross-Channel Attention for Object
Detection in Remote Sensing Images,
ICIP24(2620-2626)
IEEE DOI
2411
Convolutional codes, Object detection, Self-supervised learning,
Transformers, Robustness, Sensors, Multimodal fusion,
remote sensing imagery
BibRef
Gao, Z.X.[Zi-Xian],
Jiang, X.[Xun],
Xu, X.[Xing],
Shen, F.M.[Fu-Min],
Li, Y.J.[Yu-Jie],
Shen, H.T.[Heng Tao],
Embracing Unimodal Aleatoric Uncertainty for Robust Multimodal Fusion,
CVPR24(26866-26875)
IEEE DOI
2410
Uncertainty, Noise, Contrastive learning, Benchmark testing,
Robustness, Multimodal Fusion,
Information Bottleneck
BibRef
Jiang, H.[Hanwen],
Karpur, A.[Arjun],
Cao, B.[Bingyi],
Huang, Q.X.[Qi-Xing],
Araujo, A.[Andre],
OmniGlue: Generalizable Feature Matching with Foundation Model
Guidance,
CVPR24(19865-19875)
IEEE DOI Code:
WWW Link.
2410
Training, Codes, Attention mechanisms, Computational modeling,
Image matching, Benchmark testing
BibRef
Yi, X.P.[Xun-Peng],
Xu, H.[Han],
Zhang, H.[Hao],
Tang, L.F.[Lin-Feng],
Ma, J.Y.[Jia-Yi],
Text-IF: Leveraging Semantic Text Guidance for Degradation-Aware and
Interactive Image Fusion,
CVPR24(27016-27025)
IEEE DOI Code:
WWW Link.
2410
Degradation, Codes, Semantics, Pipelines, Feature extraction,
Image fusion, Multi-modal fusion, Text
BibRef
Vouitsis, N.[Noël],
Liu, Z.Y.[Zhao-Yan],
Gorti, S.K.[Satya Krishna],
Villecroze, V.[Valentin],
Cresswell, J.C.[Jesse C.],
Yu, G.[Guangwei],
Loaiza-Ganem, G.[Gabriel],
Volkovs, M.[Maksims],
Data-Efficient Multimodal Fusion on a Single GPU,
CVPR24(27229-27241)
IEEE DOI Code:
WWW Link.
2410
Costs, Codes, Art, Computational modeling, Text to image,
Graphics processing units, multimodal, efficient, CLIP, mixup
BibRef
Zhao, Z.X.[Zi-Xiang],
Bai, H.W.[Hao-Wen],
Zhang, J.S.[Jiang-She],
Zhang, Y.[Yulun],
Zhang, K.[Kai],
Xu, S.[Shuang],
Chen, D.D.[Dong-Dong],
Timofte, R.[Radu],
Van Gool, L.J.[Luc J.],
Equivariant Multi-Modality Image Fusion,
CVPR24(25912-25921)
IEEE DOI Code:
WWW Link.
2410
Training, Image sensors, Image segmentation,
Self-supervised learning,
low-level vision
BibRef
Li, X.[Xilai],
Li, X.S.[Xiao-Song],
Ye, T.[Tao],
Cheng, X.Q.[Xiao-Qi],
Liu, W.Y.[Wu-Yang],
Tan, H.[Haishu],
Bridging the Gap between Multi-focus and Multi-modal: A Focused
Integration Framework for Multi-modal Image Fusion,
WACV24(1617-1626)
IEEE DOI Code:
WWW Link.
2404
Optical filters, Smoothing methods, Fuses, Estimation,
Object detection, Optical imaging, Maintenance, Algorithms,
Autonomous Driving
BibRef
Han, K.Y.[Kai-Yang],
Cao, F.[Fanzhi],
Shi, T.X.[Tian-Xin],
Wang, P.[Pu],
A Dual Attention Network for Multimodal Remote Sensing Image Matching,
CVIDL23(128-134)
IEEE DOI
2403
Training, Deep learning, Image matching, Nonlinear distortion,
Imaging, Sensors, multimodal image matching, attention mechanism
BibRef
Liu, B.[Bing],
Xu, Z.Q.[Zi-Qi],
Bao, X.L.[Xue-Liang],
Zhong, Z.[Zhaohao],
MUNformer: A strong encoder that uses multi-level features extracted
by different feature extractors for fusion,
CVIDL23(291-295)
IEEE DOI
2403
Semantics,
Feature extraction, Transformers, Decoding, Data mining, component,
semantic segmentation
BibRef
He, C.M.[Chun-Ming],
Li, K.[Kai],
Xu, G.X.[Guo-Xia],
Zhang, Y.[Yulun],
Hu, R.[Runze],
Guo, Z.H.[Zhen-Hua],
Li, X.[Xiu],
Degradation-Resistant Unfolding Network for Heterogeneous Image
Fusion,
ICCV23(12577-12587)
IEEE DOI
2401
BibRef
Liu, J.Y.[Jin-Yuan],
Liu, Z.[Zhu],
Wu, G.Y.[Guan-Yao],
Ma, L.[Long],
Liu, R.S.[Ri-Sheng],
Zhong, W.[Wei],
Luo, Z.X.[Zhong-Xuan],
Fan, X.[Xin],
Multi-interactive Feature Learning and a Full-time Multi-modality
Benchmark for Image Fusion and Segmentation,
ICCV23(8081-8090)
IEEE DOI Code:
WWW Link.
2401
BibRef
Sippel, F.[Frank],
Seiler, J.[Jürgen],
Kaup, A.[André],
Cross Spectral Image Reconstruction Using a Deep Guided Neural
Network,
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.
BibRef
Zhao, Z.X.[Zi-Xiang],
Bai, H.W.[Hao-Wen],
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
Huang, Z.B.[Zhan-Bo],
Liu, J.Y.[Jin-Yuan],
Fan, X.[Xin],
Liu, R.S.[Ri-Sheng],
Zhong, W.[Wei],
Luo, Z.X.[Zhong-Xuan],
ReCoNet: Recurrent Correction Network for Fast and Efficient
Multi-modality Image Fusion,
ECCV22(XVIII:539-555).
Springer DOI
2211
BibRef
Duan, J.L.[Jia-Li],
Chen, L.Q.[Li-Qun],
Tran, S.[Son],
Yang, J.Y.[Jin-Yu],
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, 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
Piergiovanni, A.J.,
Casser, V.[Vincent],
Ryoo, M.S.[Michael S.],
Angelova, A.[Anelia],
4D-Net for Learned Multi-Modal Alignment,
ICCV21(15415-15425)
IEEE DOI
2203
Point cloud compression, Codes, Dynamics, Object detection, Sensors,
Vision for robotics and autonomous vehicles,
Detection and localization in 2D and 3D
BibRef
Yang, J.H.[Jian-Hua],
Huang, Y.[Yan],
Ma, Z.Y.[Zhan-Yu],
Wang, L.[Liang],
CMF: Cascaded Multi-Model Fusion for Referring Image Segmentation,
ICIP21(2289-2293)
IEEE DOI
2201
Convolutional codes, Image segmentation, Visualization, Fuses,
Linguistics, Benchmark testing, Referring Image Segmentation, Context Modeling
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
Ouerghi, H.[Hajer],
Mourali, O.[Olfa],
Zagrouba, E.[Ezzeddine],
Multi-modal Image Fusion Based on Weight Local Features and Novel
Sum-modified-laplacian in Non-subsampled Shearlet Transform Domain,
ISVC20(II:166-179).
Springer DOI
2103
BibRef
Perez-Rua, J.M.[Juan-Manuel],
Vielzeuf, V.[Valentin],
Pateux, S.[Stephane],
Baccouche, M.[Moez],
Jurie, F.[Frederic],
MFAS: Multimodal Fusion Architecture Search,
CVPR19(6959-6968).
IEEE DOI
2002
BibRef
Sun, S.H.[Shan-Hui],
Hu, J.[Jing],
Yao, M.Q.[Ming-Qing],
Hu, J.R.[Jin-Rong],
Yang, X.D.[Xiao-Dong],
Song, Q.[Qi],
Wu, X.[Xi],
Robust Multimodal Image Registration Using Deep Recurrent Reinforcement
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ACCV18(II:511-526).
Springer DOI
1906
BibRef
Vielzeuf, V.[Valentin],
Lechervy, A.[Alexis],
Pateux, S.[Stéphane],
Jurie, F.[Frédéric],
CentralNet: A Multilayer Approach for Multimodal Fusion,
MultLearnApp18(VI:575-589).
Springer DOI
1905
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
Zhang, H.[Hong],
Chen, L.[Li],
Liu, J.[Jun],
Yuan, J.S.[Jun-Song],
Hierarchical multi-feature fusion for multimodal data analysis,
ICIP14(5916-5920)
IEEE DOI
1502
Algorithm design and analysis
BibRef
Shen, X.Y.[Xiao-Yong],
Xu, L.[Li],
Zhang, Q.[Qi],
Jia, J.Y.[Jia-Ya],
Multi-modal and Multi-spectral Registration for Natural Images,
ECCV14(IV: 309-324).
Springer DOI
1408
BibRef
Sahoo, S.,
Nanda, P.K.,
Samant, S.,
Tsallis and Renyi's embedded entropy based mutual information for
multimodal image registration,
NCVPRIPG13(1-4)
IEEE DOI
1408
biomedical MRI
BibRef
Kim, M.J.[Min-Jae],
Han, D.K.[David K.],
Ko, H.S.[Han-Seok],
Multimodal image fusion via sparse representation with local patch
dictionaries,
ICIP13(1301-1305)
IEEE DOI
1402
Dictionaries
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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ICPR12(1084-1087).
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1302
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Forsberg, D.[Daniel],
Farnebäck, G.[Gunnar],
Knutsson, H.[Hans],
Westin, C.F.[Carl-Fredrik],
Multi-modal Image Registration Using Polynomial Expansion and Mutual
Information,
WBIR12(40-49).
Springer DOI
1208
BibRef
Bodensteiner, C.,
Huebner, W.,
Juengling, K.,
Mueller, J.,
Arens, M.,
Local multi-modal image matching based on self-similarity,
ICIP10(937-940).
IEEE DOI
1009
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Vegh, V.[Viktor],
Yang, Z.Y.[Zheng-Yi],
Tieng, Q.M.[Quang M.],
Reutens, D.C.[David C.],
Multimodal image registration using stochastic differential equation
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ICIP10(4385-4388).
IEEE DOI
1009
BibRef
Peng, T.Y.[Ting-Ying],
Yigitsoy, M.[Mehmet],
Eslami, A.[Abouzar],
Bayer, C.[Christine],
Navab, N.[Nassir],
Deformable Registration of Multi-modal Microscopic Images Using a
Pyramidal Interactive Registration-Learning Methodology,
WBIR14(144-153).
Springer DOI
1407
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Wachinger, C.[Christian],
Navab, N.[Nassir],
Manifold Learning for Multi-modal Image Registration,
BMVC10(xx-yy).
HTML Version.
1009
BibRef
Xu, J.[Jiang],
Yuan, J.S.[Jun-Song],
Wu, Y.[Ying],
Multimodal Partial Estimates Fusion,
ICCV09(2177-2184).
IEEE DOI
PDF File.
0909
BibRef
Ma, W.Y.[Wen-Ying],
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Yao, Y.F.[Yong-Fang],
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Gao, S.Q.[Shi-Qiang],
Tang, H.[Hui],
Jing, X.Y.[Xiao-Yuan],
Multi-Modal Biometrics Pixel Level Fusion and KPCA-RBF Feature
Classification for Single Sample Recognition Problem,
CISP09(1-5).
IEEE DOI
0910
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Town, C.[Christopher],
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Sensor Fusion and Environmental Modelling for Multimodal Sentient
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MSCSAS07(1-2).
IEEE DOI
0706
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Gopalakrishnan, G.,
Ranjan, S.,
Mullick, R.,
Anatomically Guided Registration for Multimodal Images,
AIPR06(10-10).
IEEE DOI
0610
BibRef
Gopalakrishnan, G.,
Kumar, S.V.B.,
Narayanan, A.,
Mullick, R.,
A fast piecewise deformable method for multi-modality image
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AIPR05(114-119).
IEEE DOI
0510
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Kelman, A.[Avi],
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Keypoint Descriptors for Matching Across Multiple Image Modalities and
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IEEE DOI
0706
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Guo, Y.J.[Yu-Jun],
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Multi-modality Image Registration Using Mutual Information Based on
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ICPR06(III: 697-700).
IEEE DOI
0609
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Andronache, A.[Adrian],
Cattin, P.C.[Philippe C.],
Székely, G.[Gábor],
Local Intensity Mapping for Hierarchical Non-rigid Registration of
Multi-modal Images Using the Cross-Correlation Coefficient,
WBIR06(26-33).
Springer DOI
0607
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Cremers, D.[Daniel],
Guetter, C.[Christoph],
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Nonparametric Priors on the Space of Joint Intensity Distributions for
Non-Rigid Multi-Modal Image Registration,
CVPR06(II: 1777-1783).
IEEE DOI
0606
BibRef
Zöllei, L.[Lilla],
Wells, III, W.M.[William M.],
Multi-modal Image Registration Using Dirichlet-Encoded Prior
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WBIR06(34-42).
Springer DOI
0607
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Zollei, L.[Lilla],
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A Unified Statistical and Information Theoretic Framework for
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Chan, H.M.[Ho-Ming],
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Multi-modal image registration by minimizing Kullback-Leibler distance
between expected and observed joint class histograms,
CVPR03(II: 570-576).
IEEE DOI
0307
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Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Fusion, Range or Depth and Intensity or Color Data .