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Feature extraction, Object detection, Detectors, Interference,
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2301
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Feature extraction, Proposals,
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ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object
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Object detection, Data models,
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CirSysVideo(33), No. 10, October 2023, pp. 5844-5854.
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2310
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Shan, J.W.[Jia-Wei],
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Focal Distillation From High-Resolution Data to Low-Resolution Data
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ITS(24), No. 12, December 2023, pp. 14064-14075.
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Lin, D.Y.[Dong-Yun],
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2312
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Wang, C.X.[Chu-Xin],
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Zhang, T.Z.[Tian-Zhu],
Zhang, Z.[Zhe],
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Song, T.T.[Ting-Ting],
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Ye, Y.C.[Yi-Chen],
Liu, C.[Chen],
Zhou, J.[Jie],
Song, Y.Z.[Ying-Ze],
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IVC(140), 2023, pp. 104855.
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2312
Object detection, Images captured by UAVs,
Three dimensions attention mechanism, Features shift down-sampling convolution
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Guo, H.R.[Hao-Ran],
He, M.[Mingyun],
Li, F.[Fan],
He, K.[Kexin],
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2402
Use 2D detector to improve.
PointNet, Frustum, Ball query, 3D perception
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Liu, H.J.[Huai-Jin],
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Zhang, Y.[Yong],
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PR(149), 2024, pp. 110284.
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2403
3D object detection, LiDAR points, Virtual points,
Image pixels, Multi-modal fusion
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Ma, J.W.[Jian-Wei],
Huang, Y.[Yan],
Qian, C.[Cheng],
Kang, J.[Jian],
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WWW Link.
2406
3D object detection, Local and global point dependency,
Local point-graph pooling module, Global point-aware module, Autonomous driving
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Chen, Z.[Zehui],
Chen, Z.[Zheng],
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Zhang, S.Q.[Shi-Quan],
Fang, L.J.[Liang-Ji],
Jiang, Q.H.[Qin-Hong],
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Zhao, F.[Feng],
Graph-DETR4D: Spatio-Temporal Graph Modeling for Multi-View 3D Object
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IP(33), 2024, pp. 4488-4500.
IEEE DOI Code:
WWW Link.
2408
Object detection, Feature extraction, Cameras, Accuracy, Solid modeling,
Transformers, Multi-view 3D object detection, spatio-temporal modeling
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Wang, S.[Shuo],
Zhao, X.H.[Xin-Hai],
Xu, H.M.[Hai-Ming],
Chen, Z.[Zehui],
Yu, D.[Dameng],
Chang, J.H.[Jia-Hao],
Yang, Z.[Zhen],
Zhao, F.[Feng],
Towards Domain Generalization for Multi-view 3D Object Detection in
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CVPR23(13333-13342)
IEEE DOI
2309
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Zhang, X.[Xin],
Song, Y.Z.[Ying-Ze],
Song, T.T.[Ting-Ting],
Yang, D.[Degang],
Ye, Y.C.[Yi-Chen],
Zhou, J.[Jie],
Zhang, L.M.[Li-Ming],
LDConv: Linear deformable convolution for improving convolutional
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IVC(149), 2024, pp. 105190.
Elsevier DOI Code:
WWW Link.
2408
Novel convolutional operation, Arbitrary sampled shapes,
Arbitrary number of parameters, Object detection
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Luo, F.[Fang],
Ma, J.X.[Jia-Xing],
Ho, G.T.S.,
An instance-level data balancing method for object detection via
contextual information alignment,
IVC(149), 2024, pp. 105155.
Elsevier DOI
2408
Object detection, Data imbalance, Instance augmentation,
Context alignment, Dynamic data balancing mechanism
BibRef
Zhang, Z.[Zheng],
Bao, Z.P.[Zhi-Ping],
Wei, Y.[Yun],
Zhou, Y.S.[Yong-Sheng],
Li, M.[Ming],
Tian, Q.[Qing],
MSPV3D: Multi-Scale Point-Voxels 3D Object Detection Net,
RS(16), No. 17, 2024, pp. 3146.
DOI Link
2409
BibRef
Jiang, J.J.[Jia-Ji],
Wanp, H.B.[Hai-Bin],
Sun, H.M.[Hong-Min],
Qin, T.F.[Tuan-Fa],
Wang, Z.Q.[Zheng-Qiang],
Reinforced Voxel-RCNN: An Efficient 3D Object Detection Method Based on
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IEICE(E108-D), No. 9, September 2024, pp. 1228-1238.
WWW Link.
2410
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Wang, B.[Binglu],
Zheng, H.W.[Hao-Wen],
Zhang, L.[Lei],
Liu, N.[Nian],
Anwer, R.M.[Rao Muhammad],
Cholakkal, H.[Hisham],
Zhao, Y.Q.[Yong-Qiang],
Li, Z.J.[Zhi-Jun],
BEVRefiner: Improving 3D Object Detection in Bird's-Eye-View via Dual
Refinement,
ITS(25), No. 10, October 2024, pp. 15094-15105.
IEEE DOI
2410
Feature extraction, Cameras, Object detection, Detectors,
Computational modeling, Solid modeling, 3D object detection, BEV,
refinement
BibRef
Han, W.C.[Wen-Cheng],
Tao, R.Z.[Run-Zhou],
Ling, H.B.[Hai-Bin],
Shen, J.B.[Jian-Bing],
Weakly Supervised Monocular 3D Object Detection by Spatial-Temporal
View Consistency,
PAMI(47), No. 1, January 2025, pp. 84-98.
IEEE DOI
2412
Object detection, Automobiles, Detectors, Production, Accuracy,
Training, Weakly supervised learning,
production cars data
BibRef
Tao, R.Z.[Run-Zhou],
Han, W.C.[Wen-Cheng],
Qiu, Z.Y.[Zhong-Ying],
Xu, C.Z.[Cheng-Zhong],
Shen, J.B.[Jian-Bing],
Weakly Supervised Monocular 3D Object Detection Using Multi-View
Projection and Direction Consistency,
CVPR23(17482-17492)
IEEE DOI
2309
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
Cai, M.X.[Mumu-Xin],
Wang, X.P.[Xu-Peng],
Sohel, F.[Ferdous],
Lei, H.[Hang],
Contextual Attribution Maps-Guided Transferable Adversarial Attack
for 3D Object Detection,
RS(16), No. 23, 2024, pp. 4409.
DOI Link
2501
BibRef
Wang, K.[Kai],
Zhou, M.L.[Ming-Liang],
Lin, Q.[Qing],
Niu, G.L.[Guang-Lin],
Zhang, X.W.[Xiao-Wei],
Geometry-Guided Point Generation for 3D Object Detection,
SPLetters(32), 2025, pp. 136-140.
IEEE DOI
2501
Heating systems, Shape, Point cloud compression, Proposals, Object detection,
Laser radar, Accuracy, Semantics, Indexes, point generation
BibRef
Fan, L.[Lue],
Wang, F.[Feng],
Wang, N.[Naiyan],
Zhang, Z.X.[Zhao-Xiang],
FSD V2: Improving Fully Sparse 3D Object Detection With Virtual
Voxels,
PAMI(47), No. 2, February 2025, pp. 1279-1292.
IEEE DOI
2501
Feature extraction, Detectors, Object detection,
Mixers, Instance segmentation, Argoverse 2 dataset
BibRef
Wang, J.[Jian],
Li, F.[Fan],
Lv, S.[Song],
He, L.J.[Li-Jun],
Shen, C.[Chao],
Physically Realizable Adversarial Creating Attack Against
Vision-Based BEV Space 3D Object Detection,
IP(34), 2025, pp. 538-551.
IEEE DOI
2501
Bird's eye view.
Three-dimensional printing, Detectors, Roads, Object detection,
Autonomous vehicles, Pipelines, Feature extraction, Visualization,
adversarial robustness
BibRef
Wang, Y.L.[Yuan-Long],
Jiang, H.T.[Heng-Tao],
Chen, G.Y.[Guan-Ying],
Zhang, T.[Tong],
Zhou, J.Q.[Jia-Qing],
Qing, Z.Z.[Ze-Zheng],
Wang, C.Y.[Chun-Yan],
Zhao, W.[Wanzhong],
Efficient and robust multi-camera 3D object detection in
bird-eye-view,
IVC(154), 2025, pp. 105428.
Elsevier DOI
2502
Multi-camera, 3D object detection, Autonomous driving
BibRef
Wu, Y.M.[Yi-Ming],
Li, R.X.[Rui-Xiang],
Qin, Z.Q.[Ze-Qun],
Zhao, X.H.[Xin-Hai],
Li, X.[Xi],
HeightFormer: Explicit Height Modeling Without Extra Data for
Camera-Only 3D Object Detection in Bird's Eye View,
IP(34), 2025, pp. 689-700.
IEEE DOI
2502
Solid modeling, Cameras, Laser radar, Estimation, Predictive models,
Object detection, 3D object detection, BEV perception, height modeling
BibRef
Ma, R.Q.[Rui-Qi],
Wang, C.[Chunwei],
Chen, C.[Chi],
Zeng, Y.[Yihan],
Li, B.[Bijun],
Zou, Q.[Qin],
Huang, Q.Q.[Qing-Qiu],
Zhu, X.G.[Xin-Ge],
Xu, H.[Hang],
FIFA3D: Flow-Guided Feature Aggregation for Temporal
Three-Dimensional Object Detection,
RS(17), No. 3, 2025, pp. 380.
DOI Link
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BibRef
Wang, S.H.[Shu-Hua],
Lu, K.[Ke],
Xue, J.[Jian],
Zhao, Y.[Yang],
DA-Net: Density-Aware 3D Object Detection Network for Point Clouds,
MultMed(27), 2025, pp. 665-678.
IEEE DOI
2502
Object detection, Point cloud compression, Estimation,
Location awareness, Sun, Feature extraction, 3D object detection,
deep learning
BibRef
Xiao, J.S.[Jin-Sheng],
Wang, S.[Shurui],
Zhou, J.[Jian],
Tian, Z.Y.[Zi-Yue],
Zhang, H.P.[Hong-Ping],
Wang, Y.F.[Yuan-Fang],
MIM: High-Definition Maps Incorporated Multi-View 3D Object Detection,
ITS(26), No. 3, March 2025, pp. 3989-4001.
IEEE DOI Code:
WWW Link.
2503
Feature extraction, Semantics, Object detection,
Point cloud compression, Head, Laser radar, Fuses, Geometry, Decoding,
high-definition maps
BibRef
Chen, S.[Shaoyu],
Wang, X.G.[Xing-Gang],
Cheng, T.H.[Tian-Heng],
Zhang, Q.[Qian],
Huang, C.[Chang],
Liu, W.Y.[Wen-Yu],
PolarDETR: Polar Parametrization for vision-based surround-view 3D
detection,
IVC(156), 2025, pp. 105438.
Elsevier DOI
2503
3D object detection, Autonomous driving, Polar representation
BibRef
Shi, W.G.[Wei-Gang],
Tong, P.P.[Pan-Pan],
Bi, X.[Xin],
Moving-Least-Squares-Enhanced 3D Object Detection for 4D
Millimeter-Wave Radar,
RS(17), No. 8, 2025, pp. 1465.
DOI Link
2505
BibRef
Wang, C.Q.[Chao-Qun],
Qin, Y.[Yiran],
Kang, Z.J.[Zi-Jian],
Ma, N.N.[Ning-Ning],
Shi, Y.K.[Yu-Kai],
Li, Z.[Zhen],
Zhang, R.M.[Rui-Mao],
Boosting 3D Object Detection via Self-Distilling Introspective Data,
ITS(26), No. 5, May 2025, pp. 6587-6600.
IEEE DOI
2505
Laser radar, Feature extraction, Detectors, Object detection,
Data models, Solid modeling, Semantics, Point cloud compression,
introspective data augmentation
BibRef
Huang, L.Y.[Lin-Yan],
Wang, H.J.[Hui-Jie],
Zeng, J.[Jia],
Zhang, S.C.[Sheng-Chuan],
Cao, L.J.[Liu-Juan],
Yan, J.C.[Jun-Chi],
Li, H.Y.[Hong-Yang],
LiDAR-guided Geometric Pretraining for Vision-Centric 3D Object
Detection,
IJCV(133), No. 7, July 2025, pp. 3877-3890.
Springer DOI
2506
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
Lu, J.[Jun],
Ji, G.Y.[Guang-Yu],
Cai, C.T.[Cheng-Tao],
Qin, K.B.[Kai-Bin],
A Transformer based on Voxel Spatial-Channel Attention for 3D object
detection,
PRL(195), 2025, pp. 37-43.
Elsevier DOI
2506
Voxel spatial-channel transformer, Point-to-point,
Spatial-channel attention, Cross-attention
BibRef
Lahlali, S.[Saad],
Granger, N.[Nicolas],
Le Borgne, H.[Hervé],
Pham, Q.C.[Quoc-Cuong],
ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection
using 2D Labels Only,
WACV25(2185-2194)
IEEE DOI Code:
WWW Link.
2505
Training, Solid modeling, Codes, Annotations, Object detection, Detectors,
Robustness, Autonomous vehicles, 3d object detection, weak supervision
BibRef
De, A.[Arkadipta],
Sengar, V.[Vartika],
Thapar, D.[Daksh],
Chandran, M.[Mahesh],
Kaul, M.[Manohar],
Elemental Composite Prototypical Network: Few-Shot Object Detection
on Outdoor 3D Point Cloud Scenes,
WACV25(3216-3226)
IEEE DOI
2505
Point cloud compression, Training, Accuracy, Urban planning,
Prototypes, Object detection, Solids, Standards, Testing
BibRef
Huang, K.C.[Kuan-Chih],
Tsai, Y.H.[Yi-Hsuan],
Yang, M.H.[Ming-Hsuan],
Weakly Supervised 3d Object Detection via Multi-level Visual Guidance,
ECCV24(I: 175-191).
Springer DOI
2412
BibRef
Tang, Y.Q.[Ying-Qi],
Meng, Z.[Zhaotie],
Chen, G.L.[Guo-Liang],
Cheng, E.[Erkang],
Simpb: A Single Model for 2d and 3d Object Detection from Multiple
Cameras,
ECCV24(II: 1-17).
Springer DOI
2412
BibRef
Zhang, R.Y.[Rui-Yang],
Zhang, H.[Hu],
Yu, H.[Hang],
Zheng, Z.D.[Zhe-Dong],
Approaching Outside: Scaling Unsupervised 3d Object Detection from 2d
Scene,
ECCV24(XI: 249-266).
Springer DOI
2412
BibRef
Kim, H.[Hyeonwoo],
Han, S.[Sookwan],
Kwon, P.[Patrick],
Joo, H.[Hanbyul],
Beyond the Contact: Discovering Comprehensive Affordance for 3d Objects
from Pre-Trained 2d Diffusion Models,
ECCV24(LI: 400-419).
Springer DOI
2412
BibRef
Zhang, R.[Runchu],
Yue, J.[Jiahe],
Zhang, Z.[Zhe],
Ma, J.[Jie],
Attention4align: Align Multi-view Parts Via Part2part Hierarchical
Attention Map for Fine-grained 3d Object Classification,
ACCV24(IX: 194-210).
Springer DOI
2412
BibRef
Hayeon, O.,
Yang, C.[Chanuk],
Huh, K.[Kunsoo],
Sesame: Simple, Easy 3d Object Detection with Point-wise Semantics,
ACCV24(IX: 211-227).
Springer DOI
2412
BibRef
Wang, K.[Kai],
Zhang, X.W.[Xiao-Wei],
Deformable Shape-aware Point Generation for 3d Object Detection,
ACCV24(X: 39-55).
Springer DOI
2412
BibRef
Vu, K.D.[Kiet Dang],
Tran, T.T.[Trung Thai],
Nguyen, D.D.[Duc Dung],
Monodssms: Efficient Monocular 3d Object Detection with Depth-aware
State Space Models,
ACCV24(X: 90-107).
Springer DOI
2412
BibRef
Kong, W.H.[Wen-Hao],
Zhang, X.W.[Xiao-Wei],
HT-SSPG: Hierarchical Transformers for Semantic Surface Point Generation
in 3d Object Detection,
ACCV24(VII: 20-37).
Springer DOI
2412
BibRef
Zhang, H.[Hu],
Xu, J.H.[Jian-Hua],
Tang, T.[Tao],
Sun, H.Y.[Hai-Yang],
Yu, X.[Xin],
Huang, Z.[Zi],
Yu, K.C.[Kai-Cheng],
Opensight: A Simple Open-Vocabulary Framework for Lidar-Based Object
Detection,
ECCV24(LXXXIV: 1-19).
Springer DOI
2412
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
Jiao, P.[Pengkun],
Zhao, N.[Na],
Chen, J.J.[Jing-Jing],
Jiang, Y.G.[Yu-Gang],
Unlocking Textual and Visual Wisdom: Open-vocabulary 3d Object
Detection Enhanced by Comprehensive Guidance from Text and Image,
ECCV24(XLVIII: 376-392).
Springer DOI
2412
BibRef
Zhang, G.[Guowen],
Fan, J.S.[Jun-Song],
Chen, L.[Liyi],
Zhang, Z.X.[Zhao-Xiang],
Lei, Z.[Zhen],
Zhang, L.[Lei],
General Geometry-aware Weakly Supervised 3d Object Detection,
ECCV24(LI: 290-309).
Springer DOI
2412
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
Chae, Y.[Yujeong],
Kim, H.[Hyeonseong],
Oh, C.G.[Chang-Gyoon],
Kim, M.[Minseok],
Yoon, K.J.[Kuk-Jin],
Lidar-based All-weather 3d Object Detection via Prompting and
Distilling 4d Radar,
ECCV24(LVI: 368-385).
Springer DOI
2412
BibRef
Deng, J.H.[Jin-Hao],
Ye, W.[Wei],
Wu, H.[Hai],
Huang, X.[Xun],
Xia, Q.M.[Qi-Ming],
Li, X.[Xin],
Fang, J.[Jin],
Li, W.[Wei],
Wen, C.[Chenglu],
Wang, C.[Cheng],
Cmd: A Cross Mechanism Domain Adaptation Dataset for 3d Object
Detection,
ECCV24(LVII: 219-236).
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
Li, S.Z.[Shuang-Zhi],
Ma, L.[Lei],
Li, X.Y.[Xing-Yu],
Domain Generalization of 3d Object Detection by Density-resampling,
ECCV24(LXIV: 456-473).
Springer DOI
2412
BibRef
Wang, J.B.[Jia-Bao],
Meng, Q.[Qiang],
Liu, G.C.[Guo-Chao],
Yan, L.J.[Liu-Jiang],
Wang, K.[Ke],
Cheng, M.M.[Ming-Ming],
Hou, Q.[Qibin],
Towards Stable 3d Object Detection,
ECCV24(L: 197-213).
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
Yuan, J.[Jiakang],
Zhang, B.[Bo],
Gong, K.X.[Kai-Xiong],
Yue, X.Y.[Xiang-Yu],
Shi, B.[Botian],
Qiao, Y.[Yu],
Chen, T.[Tao],
Reg-tta3d: Better Regression Makes Better Test-time Adaptive 3d Object
Detection,
ECCV24(XLIII: 197-213).
Springer DOI
2412
BibRef
Etchegaray, D.[Djamahl],
Huang, Z.[Zi],
Harada, T.[Tatsuya],
Luo, Y.[Yadan],
Find n' Propagate: Open-vocabulary 3d Object Detection in Urban
Environments,
ECCV24(XL: 133-151).
Springer DOI
2412
BibRef
Hegde, D.[Deepti],
Lohit, S.[Suhas],
Peng, K.C.[Kuan-Chuan],
Jones, M.J.[Michael J.],
Patel, V.M.[Vishal M.],
Equivariant Spatio-temporal Self-supervision for Lidar Object Detection,
ECCV24(XXVI: 475-491).
Springer DOI
2412
BibRef
Huang, J.J.[Jun-Jie],
Ye, Y.[Yun],
Liang, Z.[Zhujin],
Shan, Y.[Yi],
Du, D.L.[Da-Long],
Detecting as Labeling: Rethinking Lidar-camera Fusion in 3d Object
Detection,
ECCV24(XXII: 439-455).
Springer DOI
2412
BibRef
Zhang, H.C.[Hong-Cheng],
Liang, L.[Liu],
Zeng, P.X.[Peng-Xin],
Song, X.[Xiao],
Wang, Z.[Zhe],
Sparselif: High-performance Sparse Lidar-camera Fusion for 3d Object
Detection,
ECCV24(XXXV: 109-128).
Springer DOI
2412
BibRef
Chen, Z.[Zhili],
Xu, S.J.[Shuang-Jie],
Ye, M.S.[Mao-Sheng],
Qian, Z.[Zian],
Zou, X.Y.[Xiao-Yi],
Yeung, D.Y.[Dit-Yan],
Chen, Q.F.[Qi-Feng],
Learning High-resolution Vector Representation from Multi-camera Images
for 3d Object Detection,
ECCV24(XXXV: 385-403).
Springer DOI
2412
BibRef
Baur, S.A.[Stefan Andreas],
Moosmann, F.[Frank],
Geiger, A.[Andreas],
LISO: Lidar-Only Self-supervised 3d Object Detection,
ECCV24(LXXXVI: 253-270).
Springer DOI
2412
BibRef
Cheng, J.H.[Jen-Hao],
Kuan, S.Y.[Sheng-Yao],
Liu, H.I.[Hou-I],
Latapie, H.[Hugo],
Liu, G.[Gaowen],
Hwang, J.N.[Jenq-Neng],
CenterRadarNet: Joint 3D Object Detection and Tracking Framework
Using 4D FMCW Radar,
ICIP24(998-1004)
IEEE DOI Code:
WWW Link.
2411
Radio frequency, Tensors, Radar detection, Radar, Object detection,
Benchmark testing, Automotive Radar, 3D Object Detection,
Autonomous Driving
BibRef
Oleksiienko, I.[Illia],
Iosifidis, A.[Alexandros],
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection,
ICIP24(3389-3395)
IEEE DOI
2411
Solid modeling, Uncertainty, Navigation, Noise,
Measurement uncertainty, Detectors, 3D Object Detection,
Variational Neural Networks
BibRef
Zhang, X.H.[Xiao-Hong],
Ye, H.[Huisheng],
Li, J.W.[Jing-Wen],
Tang, Q.[Qinyu],
Li, Y.Q.[Yuan-Qi],
Guo, Y.[Yanwen],
Guo, J.[Jie],
Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object
Detection,
CVPR24(28046-28055)
IEEE DOI Code:
WWW Link.
2410
Training, Shape, Annotations, Prototypes, Object detection, Detectors
BibRef
Yang, Y.H.[Yun-Han],
Huang, Y.K.[Yu-Kun],
Wu, X.Y.[Xiao-Yang],
Guo, Y.C.[Yuan-Chen],
Zhang, S.H.[Song-Hai],
Zhao, H.S.[Heng-Shuang],
He, T.[Tong],
Liu, X.H.[Xi-Hui],
DreamComposer: Controllable 3D Object Generation via Multi-View
Conditions,
CVPR24(8111-8120)
IEEE DOI
2410
Diffusion models, Feature extraction,
Image reconstruction, 3D Generation, Controllable, Multi-View
BibRef
Yang, Z.T.[Ze-Tong],
Yu, Z.D.[Zhi-Ding],
Choy, C.[Chris],
Wang, R.[Renhao],
Anandkumar, A.[Anima],
Alvarez, J.M.[Jose M.],
Improving Distant 3D Object Detection Using 2D Box Supervision,
CVPR24(14853-14863)
IEEE DOI
2410
Measurement, Laser radar, Accuracy, Annotations, Pipelines, Estimation
BibRef
Zhang, G.[Gang],
Chen, J.[Junnan],
Gao, G.H.[Guo-Huan],
Li, J.M.[Jian-Min],
Liu, S.[Si],
Hu, X.L.[Xiao-Lin],
SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object
Detection,
CVPR24(14477-14486)
IEEE DOI Code:
WWW Link.
2410
Adaptation models, Computational modeling, Pipelines, Detectors,
Object detection, 3D Object Detection, Fully Sparse Detector, Feature Diffusion
BibRef
Ozguroglu, E.[Ege],
Liu, R.[Ruoshi],
Surís, D.[Dídac],
Chen, D.[Dian],
Dave, A.[Achal],
Tokmakov, P.[Pavel],
Vondrick, C.[Carl],
pix2gestalt: Amodal Segmentation by Synthesizing Wholes,
CVPR24(3931-3940)
IEEE DOI
2410
Solid modeling, Art, Shape, Training data, Benchmark testing
BibRef
Bang, G.[Geonho],
Choi, K.[Kwangjin],
Kim, J.[Jisong],
Kum, D.[Dongsuk],
Choi, J.W.[Jun Won],
RadarDistill: Boosting Radar-Based Object Detection Performance via
Knowledge Distillation from LiDAR Features,
CVPR24(15491-15500)
IEEE DOI
2410
Laser radar, Radar detection, Object detection,
Phase frequency detectors, Feature extraction, Encoding,
Autonomous Driving
BibRef
Ji, H.X.[Hao-Xuanye],
Liang, P.P.[Peng-Peng],
Cheng, E.[Erkang],
Enhancing 3D Object Detection with 2D Detection-Guided Query Anchors,
CVPR24(21178-21187)
IEEE DOI Code:
WWW Link.
2410
Codes, Detectors, Object detection, Feature extraction
BibRef
Li, X.T.[Xiao-Tian],
Fan, B.[Baojie],
Tian, J.D.[Jian-Dong],
Fan, H.J.[Hui-Jie],
GAFusion: Adaptive Fusing LiDAR and Camera with Multiple Guidance for
3D Object Detection,
CVPR24(21209-21218)
IEEE DOI
2410
Laser radar, Adaptive systems, Navigation, Object detection,
Transforms, 3D object detection, multi-modality, LiDAR guidance,
autonomous driving.
BibRef
Zhang, Z.W.[Zhan-Wei],
Chen, M.H.[Ming-Hao],
Xiao, S.[Shuai],
Peng, L.[Liang],
Li, H.[Hengjia],
Lin, B.B.[Bin-Bin],
Li, P.[Ping],
Wang, W.X.[Wen-Xiao],
Wu, B.X.[Bo-Xi],
Cai, D.[Deng],
Pseudo Label Refinery for Unsupervised Domain Adaptation on
Cross-Dataset 3D Object Detection,
CVPR24(15291-15300)
IEEE DOI Code:
WWW Link.
2410
Training, Solid modeling, Toxicology, Codes, Object detection
BibRef
Zhang, H.N.[Hao-Nan],
Liu, L.J.[Long-Jun],
Huang, Y.Q.[Yu-Qi],
Yang, Z.[Zhao],
Lei, X.Y.[Xin-Yu],
Wen, B.[Bihan],
CaKDP: Category-Aware Knowledge Distillation and Pruning Framework
for Lightweight 3D Object Detection,
CVPR24(15331-15341)
IEEE DOI Code:
WWW Link.
2410
Knowledge engineering, Computational modeling, Detectors,
Object detection, Model compression, 3D object detection
BibRef
Liu, X.P.[Xian-Peng],
Zheng, C.[Ce],
Qian, M.[Ming],
Xue, N.[Nan],
Chen, C.[Chen],
Zhang, Z.B.[Zhe-Bin],
Li, C.[Chen],
Wu, T.F.[Tian-Fu],
Multi-View Attentive Contextualization for Multi-View 3D Object
Detection,
CVPR24(16688-16698)
IEEE DOI
2410
Location awareness, Grounding, Object detection, Detectors,
Benchmark testing, 3D Object Detection, Autonomous Driving,
BibRef
Liu, Z.[Zihua],
Sakuma, H.[Hiroki],
Okutomi, M.[Masatoshi],
VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly
Supervised 3D Object Detection,
CVPR24(17354-17363)
IEEE DOI Code:
WWW Link.
2410
Training, Annotations, Scalability, Supervised learning, Training data,
Object detection, Monocular 3D Object Detection, Volume Rendering
BibRef
Li, Z.X.[Zhen-Xin],
Lan, S.Y.[Shi-Yi],
Alvarez, J.M.[Jose M.],
Wu, Z.X.[Zu-Xuan],
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection,
CVPR24(20113-20123)
IEEE DOI
2410
Location awareness, Estimation, Object detection, Detectors,
Benchmark testing, Transformers
BibRef
Xu, J.[Jenny],
Waslander, S.L.[Steven L.],
HyperMODEST: Self-Supervised 3D Object Detection with Confidence
Score Filtering,
CRV23(217-224)
IEEE DOI Code:
WWW Link.
2406
Training, Filtering, Supervised learning, Object detection, Detectors,
Robot sensing systems, 3D object detection, self supervised learning
BibRef
Nisar, B.[Barza],
Anand, H.V.K.[Hruday Vishal Kanna],
Waslander, S.L.[Steven L.],
Gradient-Based Maximally Interfered Retrieval for Domain Incremental
3D Object Detection,
CRV23(304-311)
IEEE DOI
2406
Training, Learning systems, Solid modeling, Object detection,
Interference, Data models, 3D object detection, LiDAR, Replay,
Learning without Forgetting
BibRef
Gungor, C.[Cagri],
Kovashka, A.[Adriana],
Boosting Weakly Supervised Object Detection using Fusion and Priors
from Hallucinated Depth,
WACV24(728-737)
IEEE DOI
2404
Annotations, Estimation, Object detection, Boosting,
Computational efficiency, Proposals, Algorithms,
Vision + language and/or other modalities
BibRef
Li, H.Y.[Hong-Yang],
Zhang, H.[Hao],
Zeng, Z.Y.[Zhao-Yang],
Liu, S.L.[Shi-Long],
Li, F.[Feng],
Ren, T.[Tianhe],
Zhang, L.[Lei],
DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting,
ICCV23(6661-6670)
IEEE DOI Code:
WWW Link.
2401
transforms multi-view 2D image features into a unified 3D space for 3D
object detection
BibRef
Chen, M.Z.[Meng-Zhao],
Shao, W.Q.[Wen-Qi],
Xu, P.[Peng],
Lin, M.B.[Ming-Bao],
Zhang, K.[Kaipeng],
Chao, F.[Fei],
Ji, R.R.[Rong-Rong],
Qiao, Y.[Yu],
Luo, P.[Ping],
DiffRate: Differentiable Compression Rate for Efficient Vision
Transformers,
ICCV23(17118-17128)
IEEE DOI Code:
WWW Link.
2401
BibRef
Guo, Q.S.[Qiu-Shan],
Ma, C.F.[Chuo-Fan],
Jiang, Y.[Yi],
Yuan, Z.H.[Ze-Huan],
Yu, Y.Z.[Yi-Zhou],
Luo, P.[Ping],
EGC: Image Generation and Classification via a Diffusion Energy-Based
Model,
ICCV23(22895-22905)
IEEE DOI Code:
WWW Link.
2401
BibRef
Ji, Y.F.[Yuan-Feng],
Chen, Z.[Zhe],
Xie, E.[Enze],
Hong, L.Q.[Lan-Qing],
Liu, X.H.[Xi-Hui],
Liu, Z.Q.[Zhao-Qiang],
Lu, T.[Tong],
Li, Z.G.[Zhen-Guo],
Luo, P.[Ping],
DDP: Diffusion Model for Dense Visual Prediction,
ICCV23(21684-21695)
IEEE DOI
2401
BibRef
Chen, S.F.[Shou-Fa],
Sun, P.[Peize],
Song, Y.B.[Yi-Bing],
Luo, P.[Ping],
DiffusionDet: Diffusion Model for Object Detection,
ICCV23(19773-19786)
IEEE DOI Code:
WWW Link.
2401
BibRef
Kim, S.[Sanmin],
Kim, Y.[Youngseok],
Lee, I.J.[In-Jae],
Kum, D.[Dongsuk],
Predict to Detect: Prediction-guided 3D Object Detection using
Sequential Images,
ICCV23(18011-18020)
IEEE DOI
2401
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
Luo, Y.[Yadan],
Chen, Z.X.[Zhuo-Xiao],
Fang, Z.[Zhen],
Zhang, Z.[Zheng],
Baktashmotlagh, M.[Mahsa],
Huang, Z.[Zi],
Kecor: Kernel Coding Rate Maximization for Active 3D Object Detection,
ICCV23(18233-18244)
IEEE DOI Code:
WWW Link.
2401
BibRef
Heitzinger, T.[Thomas],
Kampel, M.[Martin],
A Fast Unified System for 3D Object Detection and Tracking,
ICCV23(16998-17008)
IEEE DOI
2401
BibRef
Ma, X.Z.[Xin-Zhu],
Wang, Y.T.[Yong-Tao],
Zhang, Y.M.[Yin-Min],
Xia, Z.Y.[Zhi-Yi],
Meng, Y.[Yuan],
Wang, Z.H.[Zhi-Hui],
Li, H.J.[Hao-Jie],
Ouyang, W.L.[Wan-Li],
Towards Fair and Comprehensive Comparisons for Image-Based 3D Object
Detection,
ICCV23(6402-6412)
IEEE DOI Code:
WWW Link.
2401
BibRef
Wang, J.[Jiong],
Zhang, H.M.[Hui-Ming],
Hong, H.W.[Hai-Wen],
Jin, X.[Xuan],
He, Y.[Yuan],
Xue, H.[Hui],
Zhao, Z.[Zhou],
Open-Vocabulary Object Detection With an Open Corpus,
ICCV23(6736-6746)
IEEE DOI
2401
BibRef
Suri, S.[Saksham],
Rambhatla, S.[Saketh],
Chellappa, R.[Rama],
Shrivastava, A.[Abhinav],
SparseDet: Improving Sparsely Annotated Object Detection with
Pseudo-positive Mining,
ICCV23(6747-6758)
IEEE DOI
2401
BibRef
Xu, C.F.[Chen-Feng],
Wu, B.C.[Bi-Chen],
Hou, J.[Ji],
Tsai, S.[Sam],
Li, R.L.[Rui-Long],
Wang, J.L.[Jia-Liang],
Zhan, W.[Wei],
He, Z.J.[Zi-Jian],
Vajda, P.[Peter],
Keutzer, K.[Kurt],
Tomizuka, M.[Masayoshi],
NeRF-Det: Learning Geometry-Aware Volumetric Representation for
Multi-View 3D Object Detection,
ICCV23(23263-23273)
IEEE DOI Code:
WWW Link.
2401
BibRef
Xie, Y.C.[Yi-Chen],
Xu, C.F.[Chen-Feng],
Rakotosaona, M.J.[Marie-Julie],
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Wang, Z.T.[Zi-Tian],
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Huang, Q.Q.[Qing-Qiu],
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Wang, X.C.[Xin-Chao],
Zhang, L.[Li],
PARTNER: Level up the Polar Representation for LiDAR 3D Object
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ICCV23(3778-3790)
IEEE DOI
2401
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Zhang, Y.F.[Yi-Fan],
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Tseng, C.C.[Cheng-Ching],
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Zhang, S.H.[Shang-Hang],
QD-BEV: Quantization-aware View-guided Distillation for Multi-view
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ICCV23(3802-3812)
IEEE DOI
2401
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Ye, M.[Mao],
Meyer, G.P.[Gregory P.],
Chai, Y.N.[Yu-Ning],
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Efficient Transformer-Based 3D Object Detection with Dynamic Token
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ICCV23(8404-8416)
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2401
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Hu, X.Z.[Xu-Zhong],
Duan, Z.P.[Zai-Peng],
Huang, X.[Xiao],
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Context-Aware Data Augmentation for LIDAR 3d Object Detection,
ICIP23(11-15)
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Rukhovich, D.[Danila],
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TR3D: Towards Real-Time Indoor 3D Object Detection,
ICIP23(281-285)
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2312
BibRef
Park, J.W.[Jong-Woo],
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3M3D: Multi-View, Multi-Path, Multi-Representation for 3D Object
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ICIP23(1930-1934)
IEEE DOI
2312
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Li, L.[Linye],
Yue, X.D.[Xiao-Dong],
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Multi-Dimensional Pruned Sparse Convolution for Efficient 3D Object
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ICIP23(3190-3194)
IEEE DOI
2312
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Lee, W.[Wonjoon],
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Kim, D.[Donghyeong],
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MSV-RGNN: Multiscale Voxel Graph Neural Network for 3D Object
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ICIP23(3449-3453)
IEEE DOI
2312
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Wang, Y.[Yuang],
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AutoRecon: Automated 3D Object Discovery and Reconstruction,
CVPR23(21382-21391)
IEEE DOI
2309
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Rai, A.[Arushi],
Kovashka, A.[Adriana],
Improving language-supervised object detection with linguistic
structure analysis,
ODRUM23(5560-5570)
IEEE DOI
2309
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Zhou, S.C.[Sheng-Chao],
Liu, W.Z.[Wei-Zhou],
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UniDistill: A Universal Cross-Modality Knowledge Distillation
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CVPR23(5116-5125)
IEEE DOI
2309
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Ming, Q.[Qi],
Miao, L.[Lingjuan],
Ma, Z.[Zhe],
Zhao, L.[Lin],
Zhou, Z.Q.[Zhi-Qiang],
Huang, X.H.[Xu-Hui],
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Deep Dive into Gradients: Better Optimization for 3D Object Detection
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CVPR23(5136-5145)
IEEE DOI
2309
BibRef
Liu, H.[Han],
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Vorobeychik, Y.[Yevgeniy],
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SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using
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CVPR23(5146-5155)
IEEE DOI
2309
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Huang, D.[Di],
OcTr: Octree-Based Transformer for 3D Object Detection,
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Chen, D.[Dian],
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Guizilini, V.[Vitor],
Ambrus, R.[Rares],
Gaidon, A.[Adrien],
Viewpoint Equivariance for Multi-View 3D Object Detection,
CVPR23(9213-9222)
IEEE DOI
2309
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Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection,
CVPR23(9253-9262)
IEEE DOI
2309
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Zhu, B.[Benjin],
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Shi, S.S.[Shao-Shuai],
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Hong, L.Q.[Lan-Qing],
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ConQueR: Query Contrast Voxel-DETR for 3D Object Detection,
CVPR23(9296-9305)
IEEE DOI
2309
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Kumar, A.[Abhinav],
Straub, J.[Julian],
Ravi, N.[Nikhila],
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Omni3D: A Large Benchmark and Model for 3D Object Detection in the
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CVPR23(13154-13164)
IEEE DOI
2309
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Borse, S.[Shubhankar],
Kumar, V.R.[Varun Ravi],
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X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for
Multi-Camera 3D Object Detection,
CVPR23(13343-13353)
IEEE DOI
2309
BibRef
Yang, H.H.[Hong-Hui],
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Chen, M.H.[Ming-Hao],
Lin, B.B.[Bin-Bin],
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IEEE DOI
2309
BibRef
Cho, H.[Hyeon],
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Baek, G.[Geonwoo],
Hwang, W.J.[Won-Jun],
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Detection,
CVPR23(13540-13549)
IEEE DOI
2309
BibRef
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Shi, B.[Botian],
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Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection,
CVPR23(15599-15608)
IEEE DOI
2309
BibRef
Zhou, Y.S.[Yun-Song],
Zhu, H.Z.[Hong-Zi],
Liu, Q.[Quan],
Chang, S.[Shan],
Guo, M.[Minyi],
MonoATT: Online Monocular 3D Object Detection with Adaptive Token
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CVPR23(17493-17503)
IEEE DOI
2309
BibRef
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Zhang, R.Y.[Rong-Yu],
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Guo, Y.D.[Yan-Dong],
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BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention
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CVPR23(17461-17470)
IEEE DOI
2309
BibRef
Li, G.[Gang],
Wang, W.H.[Wen-Hai],
Li, X.[Xiang],
Li, Z.H.[Zi-Heng],
Yang, J.[Jian],
Dai, J.F.[Ji-Feng],
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Zhang, S.S.[Shan-Shan],
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Zeng, J.[Jia],
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Deng, H.M.[Han-Ming],
Lu, L.W.[Le-Wei],
Yan, J.C.[Jun-Chi],
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Li, H.Y.[Hong-Yang],
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IEEE DOI
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Li, Z.C.[Ze-Chuan],
Yu, H.S.[Hong-Shan],
Yang, Z.G.[Zhen-Geng],
Chen, T.J.[Tong-Jia],
Akhtar, N.[Naveed],
AShapeFormer: Semantics-Guided Object-Level Active Shape Encoding
for 3D Object Detection via Transformers,
CVPR23(1012-1021)
IEEE DOI
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BibRef
Yuan, S.H.[Shuai-Hang],
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Lu, C.G.[Chen-Guang],
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Liu, Y.[Yue],
Reagformer: Reaggregation Transformer with Affine Group Features for 3d
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Springer DOI
2307
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Shi, C.[Chao],
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Luo, Y.[Yan],
Structure Guided Proposal Completion for 3d Object Detection,
ACCV22(I:504-520).
Springer DOI
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Vijayaraghavan, S.[Sujal],
Alqasemi, R.[Redwan],
Dubey, R.[Rajiv],
Sarkar, S.[Sudeep],
Localisebot: Multi-view 3d Object Localisation with Differentiable
Rendering for Robot Grasping,
ACVR22(699-711).
Springer DOI
2304
BibRef
Sheng, H.[Hualian],
Cai, S.[Sijia],
Zhao, N.[Na],
Deng, B.[Bing],
Huang, J.Q.[Jian-Qiang],
Hua, X.S.[Xian-Sheng],
Zhao, M.J.[Min-Jian],
Lee, G.H.[Gim Hee],
Rethinking IoU-based Optimization for Single-stage 3D Object Detection,
ECCV22(IX:544-561).
Springer DOI
2211
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Huang, Y.M.[Yao-Min],
Liu, X.M.[Xin-Mei],
Zhu, Y.C.[Yi-Chen],
Xu, Z.Y.[Zhi-Yuan],
Shen, C.M.[Chao-Min],
Che, Z.P.[Zheng-Ping],
Zhang, G.X.[Gui-Xu],
Peng, Y.X.[Ya-Xin],
Feng, F.F.[Fei-Fei],
Tang, J.[Jian],
Label-Guided Auxiliary Training Improves 3D Object Detector,
ECCV22(IX:684-700).
Springer DOI
2211
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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
Liu, Y.F.[Ying-Fei],
Wang, T.C.[Tian-Cai],
Zhang, X.Y.[Xiang-Yu],
Sun, J.[Jian],
PETR: Position Embedding Transformation for Multi-View 3D Object
Detection,
ECCV22(XXVII:531-548).
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
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ECCV22(VIII:628-644).
Springer DOI
2211
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Adam, M.G.[Michael G.],
Piccolrovazzi, M.[Martin],
Eger, S.[Sebastian],
Steinbach, E.[Eckehard],
Bounding Box Disparity: 3D Metrics for Object Detection with Full
Degree of Freedom,
ICIP22(1491-1495)
IEEE DOI
2211
Measurement, Closed-form solutions, Object detection, Libraries,
metric, object detection, 3D bounding box, intersection over union,
volume-to-volume distance
BibRef
Shi, G.S.[Guang-Sheng],
Li, R.F.[Rui-Feng],
Ma, C.[Chao],
PillarNet: Real-Time and High-Performance Pillar-Based 3D Object
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ECCV22(X:35-52).
Springer DOI
2211
BibRef
Rukhovich, D.[Danila],
Vorontsova, A.[Anna],
Konushin, A.[Anton],
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection,
ECCV22(X:477-493).
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
Wang, T.Y.[Tian-Yu],
Liu, M.M.[Miao-Miao],
Ng, K.S.[Kee Siong],
Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene
Decomposition,
ECCV22(XXIII:120-135).
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
Zeng, Y.[Yihan],
Zhang, D.[Da],
Wang, C.[Chunwei],
Miao, Z.W.[Zhen-Wei],
Liu, T.[Ting],
Zhan, X.[Xin],
Hao, D.[Dayang],
Ma, C.[Chao],
LIFT: Learning 4D LiDAR Image Fusion Transformer for 3D Object
Detection,
CVPR22(17151-17160)
IEEE DOI
2210
Training, Laser radar, Object detection, Transformers, Cameras,
Sensors, Navigation and autonomous driving, 3D from multi-view and sensors
BibRef
Jiang, L.[Li],
Yang, Z.[Zetong],
Shi, S.S.[Shao-Shuai],
Golyanik, V.[Vladislav],
Dai, D.X.[Deng-Xin],
Schiele, B.[Bernt],
Self-Supervised Pre-Training with Masked Shape Prediction for 3D
Scene Understanding,
CVPR23(1168-1178)
IEEE DOI
2309
BibRef
Li, Y.W.[Yan-Wei],
Qi, X.J.[Xiao-Juan],
Chen, Y.K.[Yu-Kang],
Wang, L.W.[Li-Wei],
Li, Z.[Zeming],
Sun, J.[Jian],
Jia, J.Y.[Jia-Ya],
Voxel Field Fusion for 3D Object Detection,
CVPR22(1110-1119)
IEEE DOI
2210
Bridges, Codes, Fuses, Computational modeling, Object detection,
Recognition: detection, categorization, retrieval,
3D from multi-view and sensors
BibRef
Guo, X.Y.[Xiao-Yang],
Shi, S.S.[Shao-Shuai],
Wang, X.G.[Xiao-Gang],
Li, H.S.[Hong-Sheng],
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for
Stereo-based 3D Detector,
ICCV21(3133-3143)
IEEE DOI
2203
Geometry, Point cloud compression, Solid modeling, Laser radar,
Semantics, Detectors, Detection and localization in 2D and 3D,
3D from multiview and other sensors
BibRef
Mao, J.G.[Jia-Geng],
Xue, Y.J.[Yu-Jing],
Niu, M.Z.[Min-Zhe],
Bai, H.Y.[Hao-Yue],
Feng, J.S.[Jia-Shi],
Liang, X.D.[Xiao-Dan],
Xu, H.[Hang],
Xu, C.J.[Chun-Jing],
Voxel Transformer for 3D Object Detection,
ICCV21(3144-3153)
IEEE DOI
2203
Point cloud compression, Location awareness, Detectors,
Object detection,
Vision for robotics and autonomous vehicles
BibRef
Sun, J.M.[Jia-Ming],
Xie, Y.M.[Yi-Ming],
Zhang, S.[Siyu],
Chen, L.H.[Ling-Hao],
Zhang, G.F.[Guo-Feng],
Bao, H.J.[Hu-Jun],
Zhou, X.W.[Xiao-Wei],
You Don't Only Look Once: Constructing Spatial-Temporal Memory for
Integrated 3D Object Detection and Tracking,
ICCV21(3265-3174)
IEEE DOI
2203
Memory management, Pipelines, Object detection, Detectors,
Search problems, Trajectory,
Vision for robotics and autonomous vehicles
BibRef
Liang, H.X.[Han-Xue],
Jiang, C.[Chenhan],
Feng, D.P.[Da-Peng],
Chen, X.[Xin],
Xu, H.[Hang],
Liang, X.D.[Xiao-Dan],
Zhang, W.[Wei],
Li, Z.G.[Zhen-Guo],
Van Gool, L.J.[Luc J.],
Exploring Geometry-aware Contrast and Clustering Harmonization for
Self-supervised 3D Object Detection,
ICCV21(3273-3282)
IEEE DOI
2203
Representation learning, Roads, Semantics, Pipelines, Prototypes,
Object detection, Detection and localization in 2D and 3D,
Vision for robotics and autonomous vehicles
BibRef
Xie, Q.[Qian],
Lai, Y.K.[Yu-Kun],
Wu, J.[Jing],
Wang, Z.[Zhoutao],
Lu, D.[Dening],
Wei, M.Q.[Ming-Qiang],
Wang, J.[Jun],
VENet: Voting Enhancement Network for 3D Object Detection,
ICCV21(3692-3701)
IEEE DOI
2203
Object detection, Detectors, Benchmark testing, Feature extraction,
Sun, Detection and localization in 2D and 3D,
Vision for robotics and autonomous vehicles
BibRef
Rukhovich, D.[Danila],
Vorontsova, A.[Anna],
Konushin, A.[Anton],
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View
General-Purpose 3D Object Detection,
WACV22(1265-1274)
IEEE DOI
2202
Training, Convolutional codes,
Object detection, Benchmark testing, Deep Learning
BibRef
Yun, P.[Peng],
Cen, J.[Jun],
Liu, M.[Ming],
Conflicts between Likelihood and Knowledge Distillation in Task
Incremental Learning for 3D Object Detection,
3DV21(575-585)
IEEE DOI
2201
Image edge detection, Semantics, Estimation, Object detection,
Task analysis, Autonomous vehicles, Robotics,
High level representation of 3D data
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
Lei, J.J.[Jian-Jun],
Guo, T.[Tingyi],
Peng, B.[Bo],
Yu, C.B.[Chuan-Bo],
Depth-Assisted Joint Detection Network for Monocular 3d Object
Detection,
ICIP21(2204-2208)
IEEE DOI
2201
Location awareness, Image processing, Object detection,
Streaming media, Benchmark testing, 3D object detection,
orientation-embedded NMS
BibRef
Liu, H.Z.[Hai-Zhuang],
Ma, H.M.[Hui-Min],
Chen, Y.X.[Yan-Xian],
Li, X.[Xi],
Hu, T.Y.[Tian-Yu],
PLNL-3DSSD: Part-Aware 3D Single Stage Detector Using Local and
Non-Local Attention,
ICIP21(3148-3152)
IEEE DOI
2201
Image coding, Semantics, Detectors, Object detection,
Benchmark testing, 3D object detection, local attention,
3D single-stage detector
BibRef
Bhattacharyya, P.[Prarthana],
Huang, C.J.[Cheng-Jie],
Czarnecki, K.[Krzysztof],
SA-Det3D: Self-Attention Based Context-Aware 3D Object Detection,
AVVision21(3022-3031)
IEEE DOI
2112
Convolutional codes, Solid modeling,
Computational modeling, Neural networks, Detectors, Object detection
BibRef
Meyer, M.[Michael],
Kuschk, G.[Georg],
Tomforde, S.[Sven],
Graph Convolutional Networks for 3D Object Detection on Radar Data,
AVVision21(3053-3062)
IEEE DOI
2112
Tensors, Laser radar, Convolution,
Radar detection, Object detection, Feature extraction
BibRef
Wang, Z.J.[Ze-Jie],
Zhao, Z.[Zhen],
Jin, Z.[Zhao],
Che, Z.P.[Zheng-Ping],
Tang, J.[Jian],
Shen, C.M.[Chao-Min],
Peng, Y.X.[Ya-Xin],
Multi-Stage Fusion for Multi-Class 3D Lidar Detection,
AVVision21(3113-3121)
IEEE DOI
2112
Laser radar, Semantics,
Object detection, Logic gates, Feature extraction, Cameras
BibRef
Chai, Y.N.[Yu-Ning],
Sun, P.[Pei],
Ngiam, J.[Jiquan],
Wang, W.Y.[Wei-Yue],
Caine, B.[Benjamin],
Vasudevan, V.[Vijay],
Zhang, X.[Xiao],
Anguelov, D.[Dragomir],
To the Point: Efficient 3D Object Detection in the Range Image with
Graph Convolution Kernels,
CVPR21(15995-16004)
IEEE DOI
2111
Convolution, Computational modeling,
Robot kinematics, Object detection, Network architecture, Transformers
BibRef
Noh, J.[Jongyoun],
Lee, S.H.[Sang-Hoon],
Ham, B.[Bumsub],
HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object
Detection,
CVPR21(14600-14609)
IEEE DOI
2111
Solid modeling,
Computational modeling, Memory management, Object detection, Memory modules
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
Chen, H.S.[Han-Sheng],
Huang, Y.[Yuyao],
Tian, W.[Wei],
Gao, Z.[Zhong],
Xiong, L.[Lu],
MonoRUn: Monocular 3D Object Detection by Reconstruction and
Uncertainty Propagation,
CVPR21(10374-10383)
IEEE DOI
2111
Location awareness, Geometry, Training,
Uncertainty, Tracking, Object detection
BibRef
Miao, Z.W.[Zhen-Wei],
Chen, J.K.[Ji-Kai],
Pan, H.Y.[Hong-Yu],
Zhang, R.[Ruiwen],
Liu, K.X.[Kai-Xuan],
Hao, P.H.[Pei-Han],
Zhu, J.[Jun],
Wang, Y.[Yang],
Zhan, X.[Xin],
PVGNet: A Bottom-Up One-Stage 3D Object Detector with Integrated
Multi-Level Features,
CVPR21(3278-3287)
IEEE DOI
2111
Training, Laser radar,
Quantization (signal), Merging, Object detection, Detectors
BibRef
Yang, Z.T.[Ze-Tong],
Zhou, Y.[Yin],
Chen, Z.F.[Zhi-Feng],
Ngiam, J.Q.[Ji-Quan],
3D-MAN: 3D Multi-frame Attention Network for Object Detection,
CVPR21(1863-1872)
IEEE DOI
2111
Fuses, Aggregates, Object detection, Detectors, Feature extraction
BibRef
Liang, Z.D.[Zhi-Dong],
Zhang, Z.[Zehan],
Zhang, M.[Ming],
Zhao, X.[Xian],
Pu, S.L.[Shi-Liang],
RangeIoUDet: Range Image based Real-Time 3D Object Detector Optimized
by Intersection over Union,
CVPR21(7136-7145)
IEEE DOI
2111
Solid modeling, Laser radar,
Convolution, Object detection, Detectors, Predictive models
BibRef
Aghdam, H.H.[Hamed H.],
Heravi, E.J.[Elnaz J.],
Demilew, S.S.[Selameab S.],
Laganiere, R.[Robert],
RAD: Realtime and Accurate 3D Object Detection on Embedded Systems,
WAD21(2869-2877)
IEEE DOI
2109
Measurement, Embedded computing,
Computational modeling, Neural networks, Detectors, Object detection
BibRef
Laddha, A.[Ankit],
Gautam, S.[Shivam],
Palombo, S.[Stefan],
Pandey, S.[Shreyash],
Vallespi-Gonzalez, C.[Carlos],
MVFuseNet: Improving End-to-End Object Detection and Motion
Forecasting through Multi-View Fusion of LiDAR Data,
WAD21(2859-2868)
IEEE DOI
2109
Laser radar, Object detection,
Real-time systems, Forecasting
BibRef
Chen, Y.X.[Yan-Xian],
Ma, H.M.[Hui-Min],
Li, X.[Xi],
Luo, X.[Xiong],
S-VoteNet: Deep Hough Voting with Spherical Proposal for 3D Object
Detection,
ICPR21(5161-5167)
IEEE DOI
2105
Location awareness, Estimation,
Detectors, Object detection, Size measurement, Loss measurement
BibRef
Yang, Z.[Zhen],
Zhang, C.[Chi],
Guo, H.M.[Hui-Ming],
Zhang, Z.X.[Zhao-Xiang],
Manual-Label Free 3D Detection via An Open-Source Simulator,
ICPR21(3272-3279)
IEEE DOI
2105
Training, Solid modeling, Adaptation models,
Laser radar, Detectors, Manuals
BibRef
Griffiths, D.[David],
Boehm, J.[Jan],
Ritschel, T.[Tobias],
Finding Your (3D) Center: 3d Object Detection Using a Learned Loss,
ECCV20(XVIII:70-85).
Springer DOI
2012
BibRef
Yoo, J.H.[Jin Hyeok],
Kim, Y.[Yecheol],
Kim, J.[Jisong],
Choi, J.W.[Jun Won],
3D-CVF: Generating Joint Camera and Lidar Features Using Cross-view
Spatial Feature Fusion for 3D Object Detection,
ECCV20(XXVII:720-736).
Springer DOI
2011
BibRef
Cheng, S.Y.[Shu-Yang],
Leng, Z.Q.[Zhao-Qi],
Cubuk, E.D.[Ekin Dogus],
Zoph, B.[Barret],
Bai, C.Y.[Chun-Yan],
Ngiam, J.Q.[Ji-Quan],
Song, Y.[Yang],
Caine, B.[Benjamin],
Vasudevan, V.[Vijay],
Li, C.C.[Cong-Cong],
Le, Q.V.[Quoc V.],
Shlens, J.[Jonathon],
Anguelov, D.[Dragomir],
Improving 3D Object Detection Through Progressive Population Based
Augmentation,
ECCV20(XXI:279-294).
Springer DOI
2011
BibRef
Murez, Z.[Zak],
van As, T.[Tarrence],
Bartolozzi, J.[James],
Sinha, A.[Ayan],
Badrinarayanan, V.[Vijay],
Rabinovich, A.[Andrew],
Atlas: End-to-end 3d Scene Reconstruction from Posed Images,
ECCV20(VII:414-431).
Springer DOI
2011
Without constructing depth maps.
BibRef
Gwak, J.Y.[Jun-Young],
Choy, C.[Christopher],
Savarese, S.[Silvio],
Generative Sparse Detection Networks for 3d Single-shot Object
Detection,
ECCV20(IV:297-313).
Springer DOI
2011
BibRef
Zhang, Z.W.[Zai-Wei],
Sun, B.[Bo],
Yang, H.T.[Hai-Tao],
Huang, Q.X.[Qi-Xing],
H3dnet: 3d Object Detection Using Hybrid Geometric Primitives,
ECCV20(XII: 311-329).
Springer DOI
2010
BibRef
Yang, Z.,
Sun, Y.,
Liu, S.,
Jia, J.,
3DSSD: Point-Based 3D Single Stage Object Detector,
CVPR20(11037-11045)
IEEE DOI
2008
Feature extraction, Proposals,
Object detection, Detectors, Semantics
BibRef
Tu, J.,
Ren, M.,
Manivasagam, S.,
Liang, M.,
Yang, B.,
Du, R.,
Cheng, F.,
Urtasun, R.,
Physically Realizable Adversarial Examples for LiDAR Object Detection,
CVPR20(13713-13722)
IEEE DOI
2008
Laser radar, Detectors,
Autonomous vehicles, Solid modeling, Laser theory
BibRef
Xie, Q.,
Lai, Y.,
Wu, J.,
Wang, Z.,
Zhang, Y.,
Xu, K.,
Wang, J.,
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection,
CVPR20(10444-10453)
IEEE DOI
2008
Object detection, Feature extraction, Task analysis, Machine learning
BibRef
Chabra, R.[Rohan],
Lenssen, J.E.[Jan E.],
Ilg, E.[Eddy],
Schmidt, T.[Tanner],
Straub, J.[Julian],
Lovegrove, S.J.[Steven J.],
Newcombe, R.A.[Richard A.],
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D
Reconstruction,
ECCV20(XXIX: 608-625).
Springer DOI
2010
BibRef
Rünz, M.,
Li, K.,
Tang, M.,
Ma, L.,
Kong, C.,
Schmidt, T.,
Reid, I.,
Agapito, L.,
Straub, J.,
Lovegrove, S.J.,
Newcombe, R.A.,
FroDO: From Detections to 3D Objects,
CVPR20(14708-14717)
IEEE DOI
2008
Shape, Decoding, Image reconstruction,
Optimization, Simultaneous localization and mapping
BibRef
Najibi, M.,
Lai, G.,
Kundu, A.,
Lu, Z.,
Rathod, V.,
Funkhouser, T.,
Pantofaru, C.,
Ross, D.,
Davis, L.S.,
Fathi, A.,
DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes,
CVPR20(11910-11919)
IEEE DOI
2008
Shape, Object detection,
Laser radar, Training, Pipelines
BibRef
Vora, S.,
Lang, A.H.,
Helou, B.,
Beijbom, O.,
PointPainting: Sequential Fusion for 3D Object Detection,
CVPR20(4603-4611)
IEEE DOI
2008
Laser radar, Image segmentation,
Semantics, Object detection, Pipeline processing, Cameras
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
Ren, Z.[Zhile],
Sudderth, E.B.[Erik B.],
3D Object Detection with Latent Support Surfaces,
CVPR18(937-946)
IEEE DOI
1812
BibRef
Earlier:
Three-Dimensional Object Detection and Layout Prediction Using Clouds
of Oriented Gradients,
CVPR16(1525-1533)
IEEE DOI
1612
Object detection, Feature extraction, Solid modeling, Shape, Proposals
BibRef
Knopp, J.[Jan],
Prasad, M.[Mukta],
Van Gool, L.J.[Luc J.],
Scene Cut:
Class-Specific Object Detection and Segmentation in 3D Scenes,
3DIMPVT11(180-187).
IEEE DOI
1109
See also Orientation invariant 3D object classification using Hough transform based methods.
BibRef
Monroy, A.[Antonio],
Eigenstetter, A.[Angela],
Ommer, B.[Bjorn],
Beyond straight lines: Object detection using curvature,
ICIP11(3561-3564).
IEEE DOI
1201
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 .