Liu, H.J.[Huai-Jin],
Du, J.X.[Ji-Xiang],
Zhang, Y.[Yong],
Zhang, H.B.[Hong-Bo],
Zeng, J.[Jiandian],
PVConvNet: Pixel-Voxel Sparse Convolution for multimodal 3D object
detection,
PR(149), 2024, pp. 110284.
Elsevier DOI
2403
3D object detection, LiDAR points, Virtual points,
Image pixels, Multi-modal fusion
BibRef
Liu, Z.[Zhe],
Ye, X.Q.[Xiao-Qing],
Zou, Z.K.[Zhi-Kang],
He, X.W.[Xin-Wei],
Tan, X.[Xiao],
Ding, E.[Errui],
Wang, J.D.[Jing-Dong],
Bai, X.[Xiang],
Multi-Modal 3D Object Detection by Box Matching,
ITS(25), No. 12, December 2024, pp. 19917-19928.
IEEE DOI
2412
Laser radar, Feature extraction, Cameras, Sensors, Proposals,
Object detection, Multi-modal, 3D object detection,
box matching
BibRef
Yang, Z.Y.[Zhi-Yuan],
Wang, X.K.[Xue-Kuan],
Zhang, W.[Wei],
Tan, X.[Xiao],
Lu, J.C.[Jin-Cheng],
Wang, J.D.[Jing-Dong],
Ding, E.[Errui],
Zhao, C.R.[Cai-Rong],
Fusion4DAL: Offline Multi-modal 3D Object Detection for 4D
Auto-labeling,
IJCV(133), No. 7, July 2025, pp. 3951-3969.
Springer DOI
2506
BibRef
Li, Z.L.[Zhuo-Ling],
Xu, X.G.[Xiao-Gang],
Lim, S.N.[Ser-Nam],
Zhao, H.S.[Heng-Shuang],
Toward Unified 3D Object Detection via Algorithm and Data Unification,
PAMI(47), No. 9, September 2025, pp. 7960-7975.
IEEE DOI
2508
Detectors, Object detection, Feature extraction, Cameras, Training,
Point cloud compression, Convergence, Benchmark testing,
multi-modal detection benchmark
BibRef
Wang, Z.Y.[Zhen-Yu],
Li, Y.[Yali],
Liu, T.[Taichi],
Zhao, H.S.[Heng-Shuang],
Wang, S.J.[Sheng-Jin],
OV-UNI3DETR: Towards Unified Open-vocabulary 3d Object Detection via
Cycle-modality Propagation,
ECCV24(XLVII: 73-89).
Springer DOI
2412
BibRef
Wang, H.S.[Hui-Shan],
Ma, J.[Jie],
Zhang, J.L.[Jian-Lei],
Chen, F.W.[Fang-Wei],
GraphFusion: Robust 3D Detection via Cross-Modal Graph and
Uncertainty-Aware Bayesian Fusion,
SPLetters(32), 2025, pp. 3645-3649.
IEEE DOI
2510
Semantics, Laser radar, Feature extraction, Uncertainty,
Bayes methods, Entropy, Accuracy, Robustness, Object detection,
uncertainty modeling
BibRef
Cao, Y.[Yang],
Zeng, Y.H.[Yi-Han],
Xu, H.[Hang],
Xu, D.[Dan],
Collaborative Novel Object Discovery and Box-Guided Cross-Modal
Alignment for Open-Vocabulary 3D Object Detection,
PAMI(47), No. 11, November 2025, pp. 10475-10489.
IEEE DOI
2510
Training, Object detection,
Solid modeling, Vocabulary, Point cloud compression,
3D perception
BibRef
Fan, B.[Baojie],
Li, X.T.[Xiao-Tian],
Zhou, Y.H.[Yu-Han],
Xia, C.X.[Cai-Xia],
Fan, H.J.[Hui-Jie],
Xu, F.Y.[Feng-Yu],
Tian, J.D.[Jian-Dong],
MGAF: LiDAR-Camera 3D Object Detection With Multiple Guidance and
Adaptive Fusion,
PAMI(48), No. 1, January 2026, pp. 824-839.
IEEE DOI
2512
BibRef
Earlier: A2, A1, A7, A5, Only:
GAFusion: Adaptive Fusing LiDAR and Camera with Multiple Guidance for
3D Object Detection,
CVPR24(21209-21218)
IEEE DOI
2410
Point cloud compression, Laser radar, Cameras, Object detection,
Transformers, Semantics, Accuracy, Adaptation models, Solid modeling,
autonomous driving.
Adaptive systems, Navigation,
Transforms, 3D object detection, multi-modality, LiDAR guidance
BibRef
Zhong, J.P.[Jian-Ping],
Qi, Z.B.[Zhao-Bo],
Duan, K.W.[Kai-Wen],
Xu, Y.R.[Yuan-Rong],
Zhang, W.G.[Wei-Gang],
Huang, Q.M.[Qing-Ming],
VPA: Multi-Modal Virtual Point Augmentation for 3D Object Detection,
CirSysVideo(35), No. 12, December 2025, pp. 12410-12425.
IEEE DOI Code:
WWW Link.
2512
Point cloud compression, Object detection, Semantics, Laser radar,
Feature extraction, Detectors, Accuracy, Bicycles, Solids,
virtual point augmenting
BibRef
Shi, Y.C.[Yi-Chen],
Yang, W.M.[Wen-Ming],
Su, N.[Nan],
Wang, G.J.[Gui-Jin],
LVMF3D: Large Vision Model Boosting Multimodal Fusion for Indoor 3D
Object Detection,
SPLetters(33), 2026, pp. 356-360.
IEEE DOI
2601
Object detection, Point cloud compression,
Octrees, Feature extraction, Head, Training, large vision model (LVM)
BibRef
Yang, P.F.[Peng-Fei],
Wu, F.[Feng],
Liu, M.Y.[Min-Yang],
Zhong, T.[Ting],
Zhou, F.[Fan],
Beyond pillars: Advancing 3D object detection with salient voxel
enhancement of liDAR-4D radar fusion,
PR(173), 2026, pp. 112841.
Elsevier DOI Code:
WWW Link.
2601
Object detection, Lidar, 4D Radar, Multi-modal fusion, Autonomous driving
BibRef
Jia, F.Y.[Fei-Yang],
Jia, C.Y.[Cai-Yan],
Liu, A.[Ailin],
Xu, S.Q.[Shao-Qing],
Xia, Q.M.[Qi-Ming],
Liu, L.[Lin],
Yang, L.[Lei],
Gong, Y.[Yan],
Song, Z.[Ziying],
DGFusion: Dual-Guided Fusion for Robust Multi-Modal 3D Object
Detection,
CirSysVideo(36), No. 4, April 2026, pp. 4956-4970.
IEEE DOI
2604
Laser radar, Point cloud compression, Object detection, Cameras,
Feature extraction, Autonomous vehicles, Training, Detectors, robustness
BibRef
Wang, K.[Ke],
Gao, W.L.[Wei-Lin],
Chen, K.[Kai],
Shao, T.Y.[Tian-Yi],
Li, L.Y.[Li-Yang],
Zhou, T.Q.[Tian-Qiang],
Lu, J.B.[Jian-Bo],
PVF-DectNet++: Adaptive Multi-Modal Fusion With Perspective Voxels
for 3D Object Detection,
CirSysVideo(36), No. 5, May 2026, pp. 5776-5787.
IEEE DOI Code:
WWW Link.
2605
Feature extraction, Semantics, Object detection,
Point cloud compression, Laser radar, Accuracy, Videos, Robustness,
perspective voxel projection
BibRef
Ding, R.[Rui],
Kuang, Z.[Zhaonian],
Ji, Y.Z.[Yu-Zhe],
Yang, M.[Meng],
Zheng, X.[Xinhu],
Hua, G.[Gang],
Multi-Modal Decouple and Recouple Network for Robust 3D Object
Detection,
CirSysVideo(36), No. 5, May 2026, pp. 5815-5827.
IEEE DOI
2605
Laser radar, Cameras, Feature extraction, Data models,
Object detection, Robustness, Benchmark testing, Accuracy, data corruption
BibRef
Hou, J.[Jingfu],
Song, H.[Hong],
Li, J.[Jinfu],
Lin, Y.C.[Yu-Cong],
Huang, T.Y.[Tian-Yu],
He, J.[Jugang],
He, X.W.[Xiu-Wei],
Yang, J.[Jian],
PLPFusion: Plane-Line-Pixel Fully Sparse Fusion for Robust
Multi-Modal 3D Object Detection,
CirSysVideo(36), No. 5, May 2026, pp. 5759-5775.
IEEE DOI Code:
WWW Link.
2605
Feature extraction, Object detection, Semantics, Laser radar,
Robustness, Accuracy, Cameras, Benchmark testing, Pipelines,
hierarchical representation modeling
BibRef
Tian, C.Z.[Chong-Zhen],
Li, Z.X.[Zheng-Xin],
Yuan, H.[Hui],
Hamzaoui, R.[Raouf],
Shen, L.Q.[Li-Quan],
Kwong, S.[Sam],
Feature Compression for Cloud-Edge Multimodal 3D Object Detection,
PAMI(48), No. 7, July 2026, pp. 8411-8428.
IEEE DOI
2606
Feature extraction, Object detection, Cloud computing,
Point cloud compression, Machine vision, Accuracy, Laser radar,
diffusion model
BibRef
Wang, W.H.[Wei-Hua],
Zhang, P.[Peng],
Ding, H.N.[Hao-Nan],
Pi, D.W.[Da-Wei],
Yin, G.D.[Guo-Dong],
Occlusion-Aware Multi-Modal 3D Object Detection via Multi-Stage
Cross-Modal Fusion,
IVC(173), 2026, pp. 106048.
Elsevier DOI
2607
3D object detection, Multi-modal data fusion,
Autonomous vehicles, Lidar-camera fusion, Deep learning
BibRef
Gao, P.[Pan],
Fan, Y.L.[Yu-Ling],
Ren, S.[Shuai],
Ren, X.[Xiwen],
Zhang, P.[Ping],
MPCF: Multi-Phase Consolidated Fusion for Multi-Modal 3D Object
Detection with Pseudo Point Cloud,
CirSysVideo(36), No. 7, July 2026, pp. 9701-9716.
IEEE DOI Code:
WWW Link.
2607
Feature extraction, Point cloud compression, Laser radar,
Image color analysis, Proposals, Object detection,
cross attention
BibRef
Cai, H.J.[Hao-Jie],
Yin, D.F.[Dong-Fu],
Yu, F.R.[Fei Richard],
Xiong, S.T.[Si-Ting],
DSTR: Dual Scenes Transformer for Cross-Modal Fusion in 3D Object
Detection,
WACV25(3064-3073)
IEEE DOI
2505
Point cloud compression, Laser radar, Aggregates, Redundancy,
Pipelines, Object detection, Transformers, Feature extraction,
global-fusion
BibRef
Kim, S.[Sanmin],
Kim, Y.[Youngseok],
Hwang, S.[Sihwan],
Jeong, H.[Hyeonjun],
Kum, D.[Dongsuk],
Labeldistill: Label-guided Cross-modal Knowledge Distillation for
Camera-based 3d Object Detection,
ECCV24(LVI: 19-37).
Springer DOI
2412
BibRef
Palladin, E.[Edoardo],
Dietze, R.[Roland],
Narayanan, P.[Praveen],
Bijelic, M.[Mario],
Heide, F.[Felix],
Samfusion: Sensor-adaptive Multimodal Fusion for 3d Object Detection in
Adverse Weather,
ECCV24(LXI: 484-503).
Springer DOI
2412
BibRef
Lin, Z.X.[Zhen-Xiang],
Peng, X.[Xidong],
Cong, P.[Peishan],
Zheng, G.[Ge],
Sun, Y.J.[Yu-Jin],
Hou, Y.N.[Yue-Nan],
Zhu, X.G.[Xin-Ge],
Yang, S.[Sibei],
Ma, Y.X.[Yue-Xin],
Wildrefer: 3d Object Localization in Large-scale Dynamic Scenes with
Multi-modal Visual Data and Natural Language,
ECCV24(XLVI: 456-473).
Springer DOI
2412
BibRef
Yan, J.J.[Jun-Jie],
Liu, Y.F.[Ying-Fei],
Sun, J.J.[Jian-Jian],
Jia, F.[Fan],
Li, S.L.[Shuai-Lin],
Wang, T.[Tiancai],
Zhang, X.Y.[Xiang-Yu],
Cross Modal Transformer: Towards Fast and Robust 3D Object Detection,
ICCV23(18222-18232)
IEEE DOI Code:
WWW Link.
2401
BibRef
Xie, Y.C.[Yi-Chen],
Xu, C.F.[Chen-Feng],
Rakotosaona, M.J.[Marie-Julie],
Rim, P.[Patrick],
Tombari, F.[Federico],
Keutzer, K.[Kurt],
Tomizuka, M.[Masayoshi],
Zhan, W.[Wei],
SparseFusion: Fusing Multi-Modal Sparse Representations for
Multi-Sensor 3D Object Detection,
ICCV23(17545-17556)
IEEE DOI Code:
WWW Link.
2401
BibRef
Cai, Q.[Qi],
Pan, Y.W.[Ying-Wei],
Yao, T.[Ting],
Ngo, C.W.[Chong-Wah],
Mei, T.[Tao],
ObjectFusion: Multi-modal 3D Object Detection with Object-Centric
Fusion,
ICCV23(18021-18030)
IEEE DOI
2401
BibRef
Wang, Z.Y.[Ze-Yu],
Li, D.W.[Ding-Wen],
Luo, C.X.[Chen-Xu],
Xie, C.[Cihang],
Yang, X.D.[Xiao-Dong],
DistillBEV: Boosting Multi-Camera 3D Object Detection with
Cross-Modal Knowledge Distillation,
ICCV23(8603-8612)
IEEE DOI
2401
BibRef
Zhou, S.C.[Sheng-Chao],
Liu, W.Z.[Wei-Zhou],
Hu, C.[Chen],
Zhou, S.C.[Shu-Chang],
Ma, C.[Chao],
UniDistill: A Universal Cross-Modality Knowledge Distillation
Framework for 3D Object Detection in Bird's-Eye View,
CVPR23(5116-5125)
IEEE DOI
2309
BibRef
Klingner, M.[Marvin],
Borse, S.[Shubhankar],
Kumar, V.R.[Varun Ravi],
Rezaei, B.[Behnaz],
Narayanan, V.[Venkatraman],
Yogamani, S.[Senthil],
Porikli, F.M.[Fatih M.],
X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for
Multi-Camera 3D Object Detection,
CVPR23(13343-13353)
IEEE DOI
2309
BibRef
Chen, Y.T.[Yi-Ting],
Shi, J.H.[Jing-Hao],
Ye, Z.L.[Ze-Lin],
Mertz, C.[Christoph],
Ramanan, D.[Deva],
Kong, S.[Shu],
Multimodal Object Detection via Probabilistic Ensembling,
ECCV22(IX:139-158).
Springer DOI
2211
BibRef
Chen, Z.[Zehui],
Li, Z.Y.[Zhen-Yu],
Zhang, S.Q.[Shi-Quan],
Fang, L.J.[Liang-Ji],
Jiang, Q.H.[Qin-Hong],
Zhao, F.[Feng],
Deformable Feature Aggregation for Dynamic Multi-modal 3D Object
Detection,
ECCV22(VIII:628-644).
Springer DOI
2211
BibRef
Li, H.[Hao],
Zhang, Z.[Zehan],
Zhao, X.[Xian],
Wang, Y.L.[Yu-Long],
Shen, Y.X.[Yu-Xi],
Pu, S.L.[Shi-Liang],
Mao, H.[Hui],
Enhancing Multi-modal Features Using Local Self-attention for 3D Object
Detection,
ECCV22(X:532-549).
Springer DOI
2211
BibRef
Li, X.[Xin],
Shi, B.[Botian],
Hou, Y.N.[Yue-Nan],
Wu, X.J.[Xing-Jiao],
Ma, T.L.[Tian-Long],
Li, Y.K.[Yi-Kang],
He, L.[Liang],
Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object
Detection,
ECCV22(XXXVIII:691-707).
Springer DOI
2211
BibRef
Park, W.[Won],
Liu, N.[Nan],
Chen, Q.A.[Qi Alfred],
Mao, Z.M.[Z. Morley],
Sensor Adversarial Traits: Analyzing Robustness of 3D Object
Detection Sensor Fusion Models,
ICIP21(484-488)
IEEE DOI
2201
Training, Solid modeling, Analytical models, Laser radar,
Object detection, Sensor fusion, Adversarial examples, multimodal,
sensor fusion
BibRef
Wang, C.W.[Chun-Wei],
Ma, C.[Chao],
Zhu, M.[Ming],
Yang, X.K.[Xiao-Kang],
PointAugmenting: Cross-Modal Augmentation for 3D Object Detection,
CVPR21(11789-11798)
IEEE DOI
2111
Training, Adaptation models, Solid modeling,
Laser radar, Object detection, Detectors
BibRef
Hu, N.[Nan],
Ma, H.M.[Hui-Min],
Le, C.[Chao],
Shao, X.H.[Xue-Hui],
Multi-Modal Feature Fusion Network for Ghost Imaging Object Detection,
ICIP18(351-355)
IEEE DOI
1809
Only low resolution, depth data. Imaging, Feature extraction,
Streaming media, Object detection,
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Semi-Supervised Object Detection, 3D Object Detection .