Kim, I.,
Vachtsevanos, G.J.,
Overlapping Object Recognition: A Paradigm for Multiple Sensor Fusion,
RAMag(5), No. 3, September 1998, pp. 37-44.
9810
BibRef
Yu, J.G.[Jin-Gang],
Gao, C.X.[Chang-Xin],
Tian, J.W.[Jin-Wen],
Collaborative multicue fusion using the cross-diffusion process for
salient object detection,
JOSA-A(33), No. 3, March 2016, pp. 404-415.
DOI Link
1603
Digital image processing
BibRef
Liu, W.B.[Wen-Bing],
Wang, H.B.[Hai-Bo],
Gao, Q.X.[Quan-Xue],
Zhu, Z.R.[Zhao-Rui],
Multi-modal object detection via transformer network,
IET-IPR(17), No. 12, 2023, pp. 3541-3550.
DOI Link
2310
image representations, object detection
BibRef
Lee, S.[Seungik],
Park, J.[Jaehyeong],
Park, J.[Jinsun],
CrossFormer: Cross-guided attention for multi-modal object detection,
PRL(179), 2024, pp. 144-150.
Elsevier DOI
2403
Object detection, Multi-modal, Sensor fusion
BibRef
Deng, Y.H.[Yao-Hua],
Liu, X.L.[Xia-Li],
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
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
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
Cao, Z.H.[Zi-Han],
Liang, Y.J.[Yu-Jie],
Deng, L.J.[Liang-Jian],
Vivone, G.[Gemine],
An Efficient Image Fusion Network Exploiting Unifying Language and
Mask Guidance,
PAMI(47), No. 11, November 2025, pp. 9845-9862.
IEEE DOI
2510
Image fusion, Training, Semantics, Windows, Flowering plants,
Diffusion models, Pansharpening, Image sensors, Object detection,
deep learning
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
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
Hu, S.[Shuo],
Liu, T.[Tongtong],
Han, L.Y.[Li-Yang],
Xing, R.[Run],
Vision-language tracking with attention-based optimization,
JVCIR(114), 2026, pp. 104644.
Elsevier DOI
2512
Object tracking, Vision-language tracking, Feature alignment, Multimodal fusion
BibRef
Ning, T.[Tong],
Lu, K.[Ke],
Jiang, X.[Xirui],
Xue, J.[Jian],
Mambafusion: State-space model-driven object-scene fusion for
multi-modal 3D object detection,
PR(173), 2026, pp. 112820.
Elsevier DOI
2601
Autonomous driving, 3D object detection, Multi-modal fusion,
State space model, Computer vision
BibRef
Ning, Z.W.[Zhi-Wei],
Liu, Z.J.[Zhao-Jiang],
Gao, X.[Xuanang],
Zuo, Y.F.[Yi-Fan],
Yang, J.[Jie],
Fang, Y.M.[Yu-Ming],
Liu, W.[Wei],
CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection With IoU
Joint Prediction,
CirSysVideo(36), No. 2, February 2026, pp. 2177-2190.
IEEE DOI Code:
WWW Link.
2602
Proposals, Laser radar, Feature extraction, Detectors, Cameras,
Training, Sensors, Point cloud compression, Pipelines,
cross-view alignment
BibRef
Lu, R.[Ruitao],
Zhuo, Z.H.[Zhan-Hong],
Wang, S.[Siyu],
Fan, J.[Jiwei],
Shen, T.[Tong],
Yang, X.G.[Xiao-Gang],
SAMKD: A Hybrid Lightweight Algorithm Based on Selective Activation
and Masked Knowledge Distillation for Multimodal Object Detection,
RS(18), No. 3, 2026, pp. 450.
DOI Link
2602
BibRef
Zhang, Y.[Yusi],
Xie, W.Y.[Wei-Ying],
Hui, T.L.[Tian-Lin],
Li, D.X.[Dai-Xun],
Zhang, J.Q.[Jia-Qing],
Lei, J.[Jie],
Li, Y.S.[Yun-Song],
Fang, L.Y.[Le-Yuan],
LoME: LoRA-Driven Multimodal Extractor for RGB-X Vision Tasks,
CirSysVideo(36), No. 2, February 2026, pp. 1487-1500.
IEEE DOI Code:
WWW Link.
2602
Feature extraction, Optimization, Adaptation models, Training,
Object detection, Accuracy, Videos, Lighting, LoRA
BibRef
Yang, Z.[Zhen],
Dong, Y.P.[Yan-Peng],
Wang, J.Y.[Jia-Yu],
Wang, H.[Heng],
Ma, L.C.[Li-Chao],
Cui, Z.J.[Zi-Jian],
Liu, Q.[Qi],
Pei, H.R.[Hao-Ran],
Zhang, K.[Kexin],
Zhang, C.[Chao],
DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D
Occupancy Prediction,
CirSysVideo(36), No. 2, February 2026, pp. 1742-1753.
IEEE DOI Code:
WWW Link.
2602
Point cloud compression, Feature extraction, Object detection,
Image resolution, Semantics, Geometry, Cameras, Training, autonomous driving
BibRef
Li, J.[Jie],
Sui, C.H.[Chen-Hong],
Wang, J.[Jing],
Zhou, J.[Jun],
PMDet: Patch-Aware Enhancement and Fusion for Multispectral Object
Detection,
RS(18), No. 7, 2026, pp. 1068.
DOI Link
2604
BibRef
Hao, L.[Lei],
Xu, L.[Lina],
Liu, C.[Chang],
Dong, Y.[Yanni],
LASFNet: A Lightweight Attention-Guided Self-Modulation Feature
Fusion Network for Multimodal Object Detection,
Cyber(56), No. 5, May 2026, pp. 2516-2528.
IEEE DOI Code:
WWW Link.
2604
Feature extraction, Object detection, Neck, Accuracy,
Adaptation models, Computational efficiency, Remote sensing,
self-modulation
BibRef
Chen, L.[Luke],
Wang, J.[Junyao],
Mortlock, T.[Trier],
Khargonekar, P.[Pramod],
Faruque, M.A.A.[Mohammad Abdullah Al],
Hyperdimensional Uncertainty Quantification for Multimodal
Uncertainty Fusion in Autonomous Vehicles Perception,
CVPR25(22306-22316)
IEEE DOI
2508
Training, Uncertainty, Semantic segmentation, Multimodal sensors,
Object detection, Machine learning, Reliability
BibRef
Mei, S.B.[Shi-Bin],
Ni, B.B.[Bing-Bing],
Wang, H.[Hang],
Zhao, C.L.[Cheng-Long],
Hu, F.[Fengfa],
Pi, Z.M.[Zhi-Ming],
Ke, B.[Bilian],
Object-Oriented Anchoring and Modal Alignment in Multimodal Learning,
ECCV24(L: 179-196).
Springer DOI
2412
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
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
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.K.[Yi-Kang],
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
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
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Fusion, Range or Depth and Intensity or Color Data .