11.2.4.1 Depth Object Detection, 3D Object Detection

Chapter Contents (Back)
Object Detection.
See also Semi-Supervised Object Detection, 3D Object Detection. It is hard to distinbuish between detection and segmentation
See also Point Cloud Segmentation, Depth Object Segmentation.
See also Semantic Object Detection, 3D, Depth.
See also Range and Color, RGB-D Segmentation and Analysis.

Chen, X.[Xujian], Teoh, E.K.[Eam Khwang],
3D object segmentation using B-Surface,
IVC(23), No. 14, 12 December 2005, pp. 1237-1249.
Elsevier DOI 0601
BibRef
Earlier:
3D growing deformable B-surface model for object detection,
ICARCV04(I: 357-362).
IEEE DOI 0412
Slice by slice. BibRef

Reisert, M.[Marco], Burkhardt, H.[Hans],
Complex Derivative Filters,
IP(17), No. 12, December 2008, pp. 2265-2274.
IEEE DOI 0811
BibRef

Reisert, M.[Marco], Burkhardt, H.[Hans],
Equivariant Holomorphic Filters for Contour Denoising and Rapid Object Detection,
IP(17), No. 2, February 2008, pp. 190-203.
IEEE DOI 0801
BibRef

Reisert, M.[Marco], Ronneberger, O.[Olaf], Burkhardt, H.[Hans],
Holomorphic Filters for Object Detection,
DAGM07(304-313).
Springer DOI 0709
BibRef
And:
A Fast and Reliable Coin Recognition System,
DAGM07(415-424).
Springer DOI 0709
BibRef

Reisert, M.[Marco], Burkhardt, H.[Hans],
Efficient Tensor Voting with 3D tensorial harmonics,
Tensor08(1-7).
IEEE DOI 0806
BibRef

Reisert, M.[Marco], Burkhardt, H.[Hans],
Harmonic Filters for Generic Feature Detection in 3D,
DAGM09(131-140).
Springer DOI 0909

See also Harmonic Filters for 3D Multichannel Data: Rotation Invariant Detection of Mitoses in Colorectal Cancer. BibRef

Reisert, M.[Marco], Burkhardt, H.[Hans],
Using Irreducible Group Representations for Invariant 3D Shape Description,
DAGM06(132-141).
Springer DOI 0610
BibRef
And:
Feature Selection for Retrieval Purposes,
ICIAR06(I: 661-672).
Springer DOI 0610
BibRef
Earlier:
Invariant Features for 3D-Data based on Group Integration using Directional Information and Spherical Harmonic Expansion,
ICPR06(IV: 206-209).
IEEE DOI 0609
BibRef

Kiforenko, L.[Lilita], Drost, B.[Bertram], Tombari, F.[Federico], Krüger, N.[Norbert], Buch, A.G.[Anders Glent],
A performance evaluation of point pair features,
CVIU(166), No. 1, 2018, pp. 66-80.
Elsevier DOI 1712
PPF BibRef

Kiforenko, L.[Lilita], Buch, A.G.[Anders Glent], Krüger, N.[Norbert],
Object Detection Using a Combination of Multiple 3D Feature Descriptors,
CVS15(343-353).
Springer DOI 1507
BibRef

Fu, J.S.[Jun-Sheng], Kämäräinen, J.K.[Joni-Kristian], Buch, A.G.[Anders Glent], Krüger, N.[Norbert],
Indoor Objects and Outdoor Urban Scenes Recognition by 3D Visual Primitives,
BD3DCV14(270-285).
Springer DOI 1504
BibRef

Wang, Z.L.[Zi-Lei], Xiang, D., Hou, S.H.[Sai-Hui], Wu, F.[Feng],
Background-Driven Salient Object Detection,
MultMed(19), No. 4, April 2017, pp. 750-762.
IEEE DOI 1704
Benchmark testing BibRef

Hou, S.H.[Sai-Hui], Wang, Z.L.[Zi-Lei], Wu, F.[Feng],
Deeply Exploit Depth Information for Object Detection,
Robust16(1092-1100)
IEEE DOI 1612
BibRef

Pahwa, R.S.[Ramanpreet Singh], Lu, J., Jiang, N., Ng, T.T.[Tian Tsong], Do, M.N.[Minh N.],
Locating 3D Object Proposals: A Depth-Based Online Approach,
CirSysVideo(28), No. 3, March 2018, pp. 626-639.
IEEE DOI 1804
computational geometry, image colour analysis, image registration, image sequences, object detection, robot vision BibRef

Yan, L.[Lin], Liu, K.[Kai], Belyaev, E.[Evgeny], Duan, M.[Meiyu],
RTL3D: real-time LIDAR-based 3D object detection with sparse CNN,
IET-CV(14), No. 5, August 2020, pp. 224-232.
DOI Link 2007
collapse 3D to 2D for initial detection. BibRef

Wang, J.R.[Jia-Rong], Zhu, M.[Ming], Wang, B.[Bo], Sun, D.[Deyao], Wei, H.[Hua], Liu, C.J.[Chang-Ji], Nie, H.T.[Hai-Tao],
KDA3D: Key-Point Densification and Multi-Attention Guidance for 3D Object Detection,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Xie, Q.[Qian], Lai, Y.K.[Yu-Kun], Wu, J.[Jing], Wang, Z.T.[Zhou-Tao], Zhang, Y.M.[Yi-Ming], Xu, K.[Kai], Wang, J.[Jun],
Vote-Based 3D Object Detection with Context Modeling and SOB-3DNMS,
IJCV(129), No. 6, June 2021, pp. 1857-1874.
Springer DOI 2106
BibRef

Pan, X.R.[Xu-Ran], Xia, Z.F.[Zhuo-Fan], Song, S.J.[Shi-Ji], Li, L.E.[Li Erran], Huang, G.[Gao],
3D Object Detection with Pointformer,
CVPR21(7459-7468)
IEEE DOI 2111
Solid modeling, Shape, Semantics, Object detection, Transformers BibRef

An, P.[Pei], Liang, J.X.[Jun-Xiong], Yu, K.[Kun], Fang, B.[Bin], Ma, J.[Jie],
Deep structural information fusion for 3D object detection on LiDAR-camera system,
CVIU(214), 2022, pp. 103295.
Elsevier DOI 2112
3D object detection, LiDAR-camera system, Multi-sensor fusion BibRef

Wu, Y.Q.[Yi-Qiang], Xiao, W.P.[Wei-Ping], Liu, C.[Chang], Gao, J.T.[Jian-Tao], Sun, J.C.[Jia-Cheng], Tan, G.Z.[Guo-Zhu], Li, X.M.[Xiao-Mao],
RE-Det3D: RoI-enhanced 3D object detector,
IVC(121), 2022, pp. 104430.
Elsevier DOI 2205
3D object detection, Point-based method, Proposal-shape understanding, Tilted sampling, Self-attention, Plug-and-play module BibRef

Chen, L.H.[Ling-Hao], Sun, J.M.[Jia-Ming], Xie, Y.M.[Yi-Ming], Zhang, S.[Siyu], Shuai, Q.[Qing], Jiang, Q.H.[Qin-Hong], Zhang, G.F.[Guo-Feng], Bao, H.J.[Hu-Jun], Zhou, X.W.[Xiao-Wei],
Shape Prior Guided Instance Disparity Estimation for 3D Object Detection,
PAMI(44), No. 9, September 2022, pp. 5529-5540.
IEEE DOI 2208
BibRef
Earlier: A2, A1, A3, A4, A5, A9, A8, Only:
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation,
CVPR20(10545-10554)
IEEE DOI 2008
Estimation, Object detection, Shape, Solid modeling, Laser radar, Image reconstruction, Autonomous driving, 3D detection, stereo matching. Detectors BibRef

Ma, J.W.[Jia-Wei], Liang, M.[Min], Chen, S.L.[Song-Lu], Chen, F.[Feng], Tian, S.[Shu], Qin, J.Y.[Jing-Yan], Yin, X.C.[Xu-Cheng],
Depth-Guided Progressive Network for Object Detection,
ITS(23), No. 10, October 2022, pp. 19523-19533.
IEEE DOI 2210
Feature extraction, Object detection, Detectors, Interference, Signal to noise ratio, Semantics, Location awareness, progressive sampling BibRef

Ji, C.F.[Chao-Feng], Liu, G.Z.[Gui-Zhong], Zhao, D.[Dan],
ETS-3D: An Efficient Two-Stage Framework for Stereo 3D Object Detection,
JVCIR(88), 2022, pp. 103634.
Elsevier DOI 2210
3D Object Detection, Deep Learning, Stereo Matching, Autonomous Driving BibRef

Shi, S.S.[Shao-Shuai], Jiang, L.[Li], Deng, J.J.[Jia-Jun], Wang, Z.[Zhe], Guo, C.X.[Chao-Xu], Shi, J.P.[Jian-Ping], Wang, X.G.[Xiao-Gang], Li, H.S.[Hong-Sheng],
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection,
IJCV(131), No. 2, February 2023, pp. 531-551.
Springer DOI 2301
BibRef
Earlier: A1, A5, A2, A4, A6, A7, A8, Only:
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection,
CVPR20(10526-10535)
IEEE DOI 2008
Feature extraction, Proposals, Encoding, Object detection, Aggregates BibRef

Yang, J.[Jihan], Shi, S.S.[Shao-Shuai], Wang, Z.[Zhe], Li, H.S.[Hong-Sheng], Qi, X.J.[Xiao-Juan],
ST3D++: Denoised Self-Training for Unsupervised Domain Adaptation on 3D Object Detection,
PAMI(45), No. 5, May 2023, pp. 6354-6371.
IEEE DOI 2304
BibRef
Earlier:
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection,
CVPR21(10363-10373)
IEEE DOI 2111
Object detection, Data models, Training, Solid modeling, Task analysis, Detectors, autonomous driving. Codes, Pipelines, Detectors. BibRef

Zhang, J.[Jing], Xu, D.[Da], Li, Y.S.[Yun-Song], Zhao, L.P.[Li-Ping], Su, R.[Rui],
FusionPillars: A 3D Object Detection Network with Cross-Fusion and Self-Fusion,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Sun, J.H.[Jian-Hua], Fang, H.S.[Hao-Shu], Li, Y.X.[Yu-Xuan], Wang, R.Z.[Run-Zhong], Gou, M.H.[Ming-Hao], Lu, C.[Cewu],
InstaBoost++: Visual Coherence Principles for Unified 2D/3D Instance Level Data Augmentation,
IJCV(131), No. 10, October 2023, pp. 2665-2681.
Springer DOI 2309
BibRef

An, P.[Pei], Liang, J.X.[Jun-Xiong], Ma, J.[Jie], Chen, Y.F.[Yan-Fei], Wang, L.[Liheng], Yang, Y.[You], Liu, Q.[Qiong],
RS-Aug: Improve 3D Object Detection on LiDAR With Realistic Simulator Based Data Augmentation,
ITS(24), No. 9, September 2023, pp. 10165-10176.
IEEE DOI 2310
BibRef

Wang, J., Zeng, Y., Gong, Y.,
Collaborative 3D Object Detection for Autonomous Vehicles via Learnable Communications,
ITS(24), No. 9, September 2023, pp. 9804-9816.
IEEE DOI 2310
BibRef

Zhang, Q.[Qiang], Wei, D.D.[Dong-Dong],
DASANet: A 3D Object Detector with Density-and-Sparsity Feature Aggregation,
RS(15), No. 18, 2023, pp. 4587.
DOI Link 2310
BibRef

Fan, L.[Lue], Yang, Y.[Yuxue], Wang, F.[Feng], Wang, N.[Naiyan], Zhang, Z.X.[Zhao-Xiang],
Super Sparse 3D Object Detection,
PAMI(45), No. 10, October 2023, pp. 12490-12505.
IEEE DOI 2310
BibRef

Xiao, W.P.[Wei-Ping], Peng, Y.[Yan], Liu, C.[Chang], Gao, J.T.[Jian-Tao], Wu, Y.Q.[Yi-Qiang], Li, X.M.[Xiao-Mao],
Balanced Sample Assignment and Objective for Single-Model Multi-Class 3D Object Detection,
CirSysVideo(33), No. 9, September 2023, pp. 5036-5048.
IEEE DOI 2310
BibRef

Tian, X.Y.[Xiao-Yu], Yang, M.[Ming], Yu, Q.[Qian], Yong, J.H.[Jun-Hai], Xu, D.[Dong],
MedoidsFormer: A Strong 3D Object Detection Backbone by Exploiting Interaction With Adjacent Medoid Tokens,
CirSysVideo(33), No. 10, October 2023, pp. 5844-5854.
IEEE DOI 2310
BibRef

Dong, S.W.[Shu-Wei], Kong, X.Y.[Xiao-Yu], Pan, X.J.[Xing-Jia], Tang, F.[Fan], Li, W.[Wei], Chang, Y.[Yi], Dong, W.M.[Wei-Ming],
Semantic-Context Graph Network for Point-Based 3D Object Detection,
CirSysVideo(33), No. 11, November 2023, pp. 6474-6486.
IEEE DOI Code:
WWW Link. 2311
BibRef

Peng, H.[Hao], Tong, G.F.[Guo-Feng], Shao, Y.Y.[Yu-Yuan],
3SNet: Semi-Anchor-Free 3D Object Detector With Slice Attention and Symmetric Features Propagation,
ITS(24), No. 12, December 2023, pp. 13863-13877.
IEEE DOI 2312
BibRef

Shan, J.W.[Jia-Wei], Zhang, G.[Gang], Tang, C.F.[Chu-Feng], Pan, H.[Hujie], Yu, Q.K.[Qian-Kun], Wu, G.H.[Guan-Hao], Hu, X.L.[Xiao-Lin],
Focal Distillation From High-Resolution Data to Low-Resolution Data for 3D Object Detection,
ITS(24), No. 12, December 2023, pp. 14064-14075.
IEEE DOI 2312
BibRef

Lin, D.Y.[Dong-Yun], Li, Y.Q.[Yi-Qun], Cheng, Y.[Yi], Prasad, S.[Shitala], Guo, A.[Aiyuan], Cao, Y.P.[Yan-Peng],
Multi-Range View Aggregation Network With Vision Transformer Feature Fusion for 3D Object Retrieval,
MultMed(25), 2023, pp. 9108-9119.
IEEE DOI 2312
BibRef

Wang, C.X.[Chu-Xin], Deng, J.C.[Jia-Cheng], He, J.F.[Jian-Feng], Zhang, T.Z.[Tian-Zhu], Zhang, Z.[Zhe], Zhang, Y.D.[Yong-Dong],
Long-Short Range Adaptive Transformer With Dynamic Sampling for 3D Object Detection,
CirSysVideo(33), No. 12, December 2023, pp. 7616-7629.
IEEE DOI 2312
BibRef

Song, T.T.[Ting-Ting], Zhang, X.[Xin], Yang, D.[Degang], Ye, Y.C.[Yi-Chen], Liu, C.[Chen], Zhou, J.[Jie], Song, Y.Z.[Ying-Ze],
Lightweight detection network based on receptive-field feature enhancement convolution and three dimensions attention for images captured by UAVs,
IVC(140), 2023, pp. 104855.
Elsevier DOI 2312
Object detection, Images captured by UAVs, Three dimensions attention mechanism, Features shift down-sampling convolution BibRef

Guo, H.R.[Hao-Ran], He, M.[Mingyun], Li, F.[Fan], He, K.[Kexin], Chen, L.[Lina],
MCFP: A multi-target 3D perception method with weak dependence on 2D detectors,
PRL(178), 2024, pp. 188-194.
Elsevier DOI Code:
WWW Link. 2402
Use 2D detector to improve. PointNet, Frustum, Ball query, 3D perception BibRef

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

Ma, J.W.[Jian-Wei], Huang, Y.[Yan], Qian, C.[Cheng], Kang, J.[Jian], Liu, J.[Jiang], Zhang, H.[Hui], Hong, W.[Wei],
LGNet: Local and global point dependency network for 3D object detection,
PR(154), 2024, pp. 110585.
Elsevier DOI Code:
WWW Link. 2406
3D object detection, Local and global point dependency, Local point-graph pooling module, Global point-aware module, Autonomous driving BibRef

Chen, Z.[Zehui], Chen, Z.[Zheng], Li, Z.Y.[Zhen-Yu], Zhang, S.Q.[Shi-Quan], Fang, L.J.[Liang-Ji], Jiang, Q.H.[Qin-Hong], Wu, F.[Feng], Zhao, F.[Feng],
Graph-DETR4D: Spatio-Temporal Graph Modeling for Multi-View 3D Object Detection,
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 BibRef

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 Bird-Eye-View,
CVPR23(13333-13342)
IEEE DOI 2309
BibRef

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 neural networks,
IVC(149), 2024, pp. 105190.
Elsevier DOI Code:
WWW Link. 2408
Novel convolutional operation, Arbitrary sampled shapes, Arbitrary number of parameters, Object detection BibRef

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 Feature Aggregation,
IEICE(E108-D), No. 9, September 2024, pp. 1228-1238.
WWW Link. 2410
BibRef

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 2502
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


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

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.[Jiandong], 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], 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

Xie, Y.M.[Yi-Ming], Jiang, H.[Huaizu], Gkioxari, G.[Georgia], Straub, J.[Julian],
Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection,
ICCV23(18324-18334)
IEEE DOI Code:
WWW Link. 2401
BibRef

Tu, T.[Tao], Chuang, S.P.[Shun-Po], Liu, Y.L.[Yu-Lun], Sun, C.[Cheng], Zhang, K.[Ke], Roy, D.[Donna], Kuo, C.H.[Cheng-Hao], Sun, M.[Min],
ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection,
ICCV23(6973-6984)
IEEE DOI Code:
WWW Link. 2401
BibRef

Li, Y.J.[Yan-Jing], Xu, S.[Sheng], Lin, M.[Mingbao], Yin, J.[Jihao], Zhang, B.C.[Bao-Chang], Cao, X.B.[Xian-Bin],
Representation Disparity-aware Distillation for 3D Object Detection,
ICCV23(6692-6701)
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

Zhao, T.C.[Tian-Chen], Ning, X.F.[Xue-Fei], Hong, K.[Ke], Qiu, Z.Y.[Zhong-Yuan], Lu, P.[Pu], Zhao, Y.[Yali], Zhang, L.F.[Lin-Feng], Zhou, L.[Lipu], Dai, G.H.[Guo-Hao], Yang, H.Z.[Hua-Zhong], Wang, Y.[Yu],
Ada3D: Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection,
ICCV23(17682-17692)
IEEE DOI 2401
BibRef

Schinagl, D.[David], Krispel, G.[Georg], Fruhwirth-Reisinger, C.[Christian], Possegger, H.[Horst], Bischof, H.[Horst],
GACE: Geometry Aware Confidence Enhancement for Black-box 3D Object Detectors on LiDAR-Data,
ICCV23(6543-6553)
IEEE DOI 2401
BibRef

Mai, J.J.[Jin-Jie], Hamdi, A.[Abdullah], Giancola, S.[Silvio], Zhao, C.[Chen], Ghanem, B.[Bernard],
EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries,
ICCV23(45-57)
IEEE DOI Code:
WWW Link. 2401
BibRef

Shu, C.Y.[Chang-Yong], Deng, J.J.[Jia-Jun], Yu, F.[Fisher], Liu, Y.F.[Yi-Fan],
3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object Detection,
ICCV23(3557-3566)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wang, S.H.[Shi-Hao], Liu, Y.[Yingfei], Wang, T.[Tiancai], Li, Y.[Ying], Zhang, X.Y.[Xiang-Yu],
Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection,
ICCV23(3598-3608)
IEEE DOI Code:
WWW Link. 2401
BibRef

Chen, Z.X.[Zhuo-Xiao], Luo, Y.[Yadan], Wang, Z.[Zheng], Baktashmotlagh, M.[Mahsa], Huang, Z.[Zi],
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling,
ICCV23(3691-3703)
IEEE DOI Code:
WWW Link. 2401
BibRef

Zong, Z.F.[Zhuo-Fan], Jiang, D.Z.[Dong-Zhi], Song, G.L.[Guang-Lu], Xue, Z.[Zeyue], Su, J.Y.[Jing-Yong], Li, H.S.[Hong-Sheng], Liu, Y.[Yu],
Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction,
ICCV23(3758-3767)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wang, Z.T.[Zi-Tian], Huang, Z.[Zehao], Fu, J.[Jiahui], Wang, N.[Naiyan], Liu, S.[Si],
Object as Query: Lifting any 2D Object Detector to 3D Detection,
ICCV23(3768-3777)
IEEE DOI Code:
WWW Link. 2401
BibRef

Nie, M.[Ming], Xue, Y.J.[Yu-Jing], Wang, C.W.[Chun-Wei], Ye, C.Q.[Chao-Qiang], Xu, H.[Hang], Zhu, X.G.[Xin-Ge], Huang, Q.Q.[Qing-Qiu], Mi, M.B.[Michael Bi], Wang, X.C.[Xin-Chao], Zhang, L.[Li],
PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection,
ICCV23(3778-3790)
IEEE DOI 2401
BibRef

Zhang, Y.F.[Yi-Fan], Dong, Z.[Zhen], Yang, H.[Huanrui], Lu, M.[Ming], Tseng, C.C.[Cheng-Ching], Du, Y.[Yuan], Keutzer, K.[Kurt], Du, L.[Li], Zhang, S.H.[Shang-Hang],
QD-BEV: Quantization-aware View-guided Distillation for Multi-view 3D Object Detection,
ICCV23(3802-3812)
IEEE DOI 2401
BibRef

Ye, M.[Mao], Meyer, G.P.[Gregory P.], Chai, Y.N.[Yu-Ning], Liu, Q.[Qiang],
Efficient Transformer-Based 3D Object Detection with Dynamic Token Halting,
ICCV23(8404-8416)
IEEE DOI 2401
BibRef

Hu, X.Z.[Xu-Zhong], Duan, Z.P.[Zai-Peng], Huang, X.[Xiao], Xu, Z.W.[Zi-Wen], Ming, D.[Delie], Ma, J.[Jie],
Context-Aware Data Augmentation for LIDAR 3d Object Detection,
ICIP23(11-15)
IEEE DOI 2312
BibRef

Rukhovich, D.[Danila], Vorontsova, A.[Anna], Konushin, A.[Anton],
TR3D: Towards Real-Time Indoor 3D Object Detection,
ICIP23(281-285)
IEEE DOI Code:
WWW Link. 2312
BibRef

Park, J.W.[Jong-Woo], Singh, A.[Apoorv], Bankiti, V.[Varun],
3M3D: Multi-View, Multi-Path, Multi-Representation for 3D Object Detection,
ICIP23(1930-1934)
IEEE DOI 2312
BibRef

Li, L.[Linye], Yue, X.D.[Xiao-Dong], Xu, Z.K.[Zhi-Kang], Xie, S.R.[Shao-Rong],
Multi-Dimensional Pruned Sparse Convolution for Efficient 3D Object Detection,
ICIP23(3190-3194)
IEEE DOI 2312
BibRef

Lee, W.[Wonjoon], Woo, S.[Sungmin], Kim, D.[Donghyeong], Lee, S.Y.[Sang-Youn],
MSV-RGNN: Multiscale Voxel Graph Neural Network for 3D Object Detection,
ICIP23(3449-3453)
IEEE DOI 2312
BibRef

Wang, Y.[Yuang], He, X.Y.[Xing-Yi], Peng, S.[Sida], Lin, H.T.[Hao-Tong], Bao, H.J.[Hu-Jun], Zhou, X.W.[Xiao-Wei],
AutoRecon: Automated 3D Object Discovery and Reconstruction,
CVPR23(21382-21391)
IEEE DOI 2309
BibRef

Rai, A.[Arushi], Kovashka, A.[Adriana],
Improving language-supervised object detection with linguistic structure analysis,
ODRUM23(5560-5570)
IEEE DOI 2309
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

Ming, Q.[Qi], Miao, L.[Lingjuan], Ma, Z.[Zhe], Zhao, L.[Lin], Zhou, Z.Q.[Zhi-Qiang], Huang, X.[Xuhui], Chen, Y.P.[Yuan-Pei], Guo, Y.F.[Yu-Fei],
Deep Dive into Gradients: Better Optimization for 3D Object Detection with Gradient-Corrected IoU Supervision,
CVPR23(5136-5145)
IEEE DOI 2309
BibRef

Liu, H.[Han], Wu, Y.H.[Yu-Hao], Yu, Z.Y.[Zhi-Yuan], Vorobeychik, Y.[Yevgeniy], Zhang, N.[Ning],
SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples,
CVPR23(5146-5155)
IEEE DOI 2309
BibRef

Zhou, C.[Chao], Zhang, Y.[Yanan], Chen, J.X.[Jia-Xin], Huang, D.[Di],
OcTr: Octree-Based Transformer for 3D Object Detection,
CVPR23(5166-5175)
IEEE DOI 2309
BibRef

Chen, D.[Dian], Li, J.[Jie], Guizilini, V.[Vitor], Ambrus, R.[Rares], Gaidon, A.[Adrien],
Viewpoint Equivariance for Multi-View 3D Object Detection,
CVPR23(9213-9222)
IEEE DOI 2309
BibRef

Zhang, B.[Bo], Yuan, J.[Jiakang], Shi, B.[Botian], Chen, T.[Tao], Li, Y.[Yikang], Qiao, Y.[Yu],
Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection,
CVPR23(9253-9262)
IEEE DOI 2309
BibRef

Zhu, B.[Benjin], Wang, Z.[Zhe], Shi, S.S.[Shao-Shuai], Xu, H.[Hang], Hong, L.Q.[Lan-Qing], Li, H.S.[Hong-Sheng],
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection,
CVPR23(9296-9305)
IEEE DOI 2309
BibRef

Brazil, G.[Garrick], Kumar, A.[Abhinav], Straub, J.[Julian], Ravi, N.[Nikhila], Johnson, J.[Justin], Gkioxari, G.[Georgia],
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild,
CVPR23(13154-13164)
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

Yang, H.H.[Hong-Hui], Wang, W.X.[Wen-Xiao], Chen, M.H.[Ming-Hao], Lin, B.B.[Bin-Bin], He, T.[Tong], Chen, H.[Hua], He, X.F.[Xiao-Fei], Ouyang, W.L.[Wan-Li],
PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer,
CVPR23(13476-13487)
IEEE DOI 2309
BibRef

Cho, H.[Hyeon], Choi, J.Y.[Jun-Yong], Baek, G.[Geonwoo], Hwang, W.J.[Won-Jun],
itKD: Interchange Transfer-based Knowledge Distillation for 3D Object Detection,
CVPR23(13540-13549)
IEEE DOI 2309
BibRef

Yuan, J.[Jiakang], Zhang, B.[Bo], Yan, X.C.[Xiang-Chao], Chen, T.[Tao], Shi, B.[Botian], Li, Y.[Yikang], Qiao, Y.[Yu],
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 Transformer,
CVPR23(17493-17503)
IEEE DOI 2309
BibRef

Chi, X.W.[Xiao-Wei], Liu, J.M.[Jia-Ming], Lu, M.[Ming], Zhang, R.Y.[Rong-Yu], Wang, Z.Q.[Zhao-Qing], Guo, Y.D.[Yan-Dong], Zhang, S.H.[Shang-Hang],
BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks,
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], Qiao, Y.[Yu], Zhang, S.S.[Shan-Shan],
Distilling Knowledge from Large-scale Image Models for Object Detection,
ECCV24(LXXXIV: 142-160).
Springer DOI 2412
BibRef

Zeng, J.[Jia], Chen, L.[Li], Deng, H.M.[Han-Ming], Lu, L.W.[Le-Wei], Yan, J.C.[Jun-Chi], Qiao, Y.[Yu], Li, H.Y.[Hong-Yang],
Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection,
CVPR23(992-1001)
IEEE DOI 2309
BibRef

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 2309
BibRef

Yuan, S.H.[Shuai-Hang], Li, X.[Xiang], Huang, H.[Hao], Fang, Y.[Yi],
Meta-DET3D: Learn to Learn Few-Shot 3D Object Detection,
ACCV22(I:245-261).
Springer DOI 2307
BibRef

Lu, C.G.[Chen-Guang], Yue, K.[Kang], Liu, Y.[Yue],
Reagformer: Reaggregation Transformer with Affine Group Features for 3d Object Detection,
ACCV22(I:262-279).
Springer DOI 2307
BibRef

Shi, C.[Chao], Zhang, C.Y.[Chong-Yang], Luo, Y.[Yan],
Structure Guided Proposal Completion for 3d Object Detection,
ACCV22(I:504-520).
Springer DOI 2307
BibRef

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
BibRef

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
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

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 Detection,
ECCV22(VIII:628-644).
Springer DOI 2211
BibRef

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 Detection,
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.[Yukang], 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 .


Last update:May 5, 2025 at 20:47:32