11.2.4.2 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 Depth Object Segmentation, Point Cloud Segmentation.
See also Semantic Object Detection, 3D, Depth.

Chen, X.[Xujian], Teoh, E.K.[Eam Khwang],
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3D growing deformable B-surface model for object detection,
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Slice by slice. BibRef

Reisert, M.[Marco], Burkhardt, H.[Hans],
Complex Derivative Filters,
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Reisert, M.[Marco], Ronneberger, O.[Olaf], Burkhardt, H.[Hans],
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Reisert, M.[Marco], Burkhardt, H.[Hans],
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Springer DOI 0610
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Velizhev, A., Shapovalov, R., Schindler, K.,
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Yang, B.S.[Bi-Sheng], Dong, Z.[Zhen],
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Point classification; Object segmentation; Mobile laser scanning; Object extraction BibRef

Yang, B.S.[Bi-Sheng], Li, Y.H.[Yu-Hao], Zou, X.H.[Xiang-Hong], Dong, Z.[Zhen],
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Kiforenko, L.[Lilita], Drost, B.[Bertram], Tombari, F.[Federico], Krüger, N.[Norbert], Buch, A.G.[Anders Glent],
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Kiforenko, L.[Lilita], Buch, A.G.[Anders Glent], Krüger, N.[Norbert],
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Fu, J.S.[Jun-Sheng], Kämäräinen, J.K.[Joni-Kristian], Buch, A.G.[Anders Glent], Krüger, N.[Norbert],
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Fehr, D.[Duc], Beksi, W.J.[William J.], Zermas, D.[Dimitris], Papanikolopoulos, N.[Nikolaos],
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CVIU(142), No. 1, 2016, pp. 80-93.
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RGB-D data 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.
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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)
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Qu, L., He, S., Zhang, J., Tian, J., Tang, Y., Yang, Q.,
RGBD Salient Object Detection via Deep Fusion,
IP(26), No. 5, May 2017, pp. 2274-2285.
IEEE DOI 1704
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Wang, A., Wang, M.,
RGB-D Salient Object Detection via Minimum Barrier Distance Transform and Saliency Fusion,
SPLetters(24), No. 5, May 2017, pp. 663-667.
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Image color analysis BibRef

Xu, X.Y.[Xiang-Yang], Li, Y.C.[Yun-Cheng], Wu, G.S.[Gang-Shan], Luo, J.B.[Jie-Bo],
Multi-modal deep feature learning for RGB-D object detection,
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RGB-D, objectness estimation BibRef

Chen, H.[Hao], Deng, Y.J.[Yong-Jian], Li, Y.F.[You-Fu], Hung, T.Y.[Tzu-Yi], Lin, G.S.[Guo-Sheng],
RGBD Salient Object Detection via Disentangled Cross-Modal Fusion,
IP(29), 2020, pp. 8407-8416.
IEEE DOI 2008
Image reconstruction, Feature extraction, Object detection, Topology, Image color analysis, Machine learning, saliency detection BibRef

Chen, H.[Hao], Shen, F.H.[Fei-Hong], Ding, D.[Ding], Deng, Y.J.[Yong-Jian], Li, C.[Chao],
Disentangled Cross-Modal Transformer for RGB-D Salient Object Detection and Beyond,
IP(33), 2024, pp. 1699-1709.
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Transformers, Feature extraction, Task analysis, Computational modeling, Object detection, transformer BibRef

Chen, H.[Hao], Li, Y.F.[You-Fu], Su, D.[Dan],
Discriminative Cross-Modal Transfer Learning and Densely Cross-Level Feedback Fusion for RGB-D Salient Object Detection,
Cyber(50), No. 11, November 2020, pp. 4808-4820.
IEEE DOI 2011
Saliency detection, Object detection, Task analysis, Cognition, Feature extraction, Fuses, Predictive models, salient object detection 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.
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computational geometry, image colour analysis, image registration, image sequences, object detection, robot vision BibRef

Xiao, X., Zhou, Y., Gong, Y.,
RGB-'D' Saliency Detection With Pseudo Depth,
IP(28), No. 5, May 2019, pp. 2126-2139.
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feature extraction, image colour analysis, stereo image processing, supervised learning, salient object detection BibRef

Huang, R., Xing, Y., Wang, Z.,
RGB-D Salient Object Detection by a CNN With Multiple Layers Fusion,
SPLetters(26), No. 4, April 2019, pp. 552-556.
IEEE DOI 1903
Saliency detection, Detectors, Training, Computational modeling, Benchmark testing, Feature extraction, Fuses, CNN BibRef

Wang, R.Z.[Run-Zhi], Wan, W.H.[Wen-Hui], Wang, Y.K.[Yong-Kang], Di, K.C.[Kai-Chang],
A New RGB-D SLAM Method with Moving Object Detection for Dynamic Indoor Scenes,
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Li, G., Liu, Z., Ling, H.,
ICNet: Information Conversion Network for RGB-D Based Salient Object Detection,
IP(29), 2020, pp. 4873-4884.
IEEE DOI 2003
Feature extraction, Correlation, Fuses, Decoding, Object detection, Visualization, Convolution, RGB-D based salient object detection, siamese structure BibRef

Li, Y.[Ying], Ma, L.F.[Ling-Fei], Tan, W.[Weikai], Sun, C.[Chen], Cao, D.[Dongpu], Li, J.[Jonathan],
GRNet: Geometric relation network for 3D object detection from point clouds,
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Elsevier DOI 2006
Deep learning, 3D object detection, Point cloud, Geometric relation, Indoor mapping, RGB-D BibRef

Yan, L.[Lin], Liu, K.[Kai], Belyaev, E.[Evgeny], Duan, M.[Meiyu],
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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,
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Sugimura, D.[Daisuke], Yamazaki, T.[Tomoaki], Hamamoto, T.[Takayuki],
Three-Dimensional Point Cloud Object Detection Using Scene Appearance Consistency Among Multi-View Projection Directions,
CirSysVideo(30), No. 10, October 2020, pp. 3345-3357.
IEEE DOI 2010
Object detection, Principal component analysis, Feature extraction, multi-viewpoint image analysis BibRef

Zhou, X.F.[Xiao-Fei], Wen, H.F.[Hong-Fa], Shi, R.[Ran], Yin, H.B.[Hai-Bing], Yan, C.G.[Cheng-Gang],
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RGBD, Saliency, Boundary, Depth BibRef

Wang, X., Li, S., Chen, C., Fang, Y., Hao, A., Qin, H.,
Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object Detection,
IP(30), 2021, pp. 458-471.
IEEE DOI 2012
Object detection, Feature extraction, Semantics, Deep learning, Estimation, Training, Network architecture, lightweight designed triple-stream network BibRef

Cheng, S.L.[Si-Lin], Chen, X.[Xiwu], He, X.W.[Xin-Wei], Liu, Z.[Zhe], Bai, X.[Xiang],
PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis,
IP(30), 2021, pp. 4436-4448.
IEEE DOI 2104
Feature extraction, Shape, Aggregates, Kernel, Benchmark testing, Solid modeling, Point cloud, inter-region relations BibRef

Huang, T.T.[Teng-Teng], Liu, Z.[Zhe], Chen, X.[Xiwu], Bai, X.[Xiang],
EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection,
ECCV20(XV:35-52).
Springer DOI 2011
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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
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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, Pattern recognition 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

Qian, R.[Rui], Lai, X.[Xin], Li, X.R.[Xi-Rong],
BADet: Boundary-Aware 3D Object Detection from Point Clouds,
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Elsevier DOI 2203
3D object detection, autonomous driving, graph neural network, boundary aware, point clouds 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,
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Elsevier DOI 2205
3D object detection, Point-based method, Proposal-shape understanding, Tilted sampling, Self-attention, Plug-and-play module BibRef

Arav, R.[Reuma], Filin, S.[Sagi],
A visual saliency-driven extraction framework of smoothly embedded entities in 3D point clouds of open terrain,
PandRS(188), 2022, pp. 125-140.
Elsevier DOI 2205
Saliency, Detection, Embedded entities, 3D point clouds, Geosites, Variational methods BibRef

Meng, Q.H.[Qing-Hao], Wang, W.G.[Wen-Guan], Zhou, T.F.[Tian-Fei], Shen, J.B.[Jian-Bing], Jia, Y.D.[Yun-De], Van Gool, L.J.[Luc J.],
Towards a Weakly Supervised Framework for 3D Point Cloud Object Detection and Annotation,
PAMI(44), No. 8, August 2022, pp. 4454-4468.
IEEE DOI 2207
Annotations, Detectors, Object detection, Training data, Solid modeling, 3D object detection, 3D annotation, autonomous driving BibRef

Hahner, M.[Martin], Sakaridis, C.[Christos], Dai, D.X.[Deng-Xin], Van Gool, L.J.[Luc J.],
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather,
ICCV21(15263-15272)
IEEE DOI 2203
Point cloud compression, Solid modeling, Laser radar, Costs, Object detection, Mathematical models, Detection and localization in 2D and 3D BibRef

Yin, J.[Junbo], Shen, J.B.[Jian-Bing], Gao, X.[Xin], Crandall, D.J.[David J.], Yang, R.G.[Rui-Gang],
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection From Point Clouds,
PAMI(45), No. 8, August 2023, pp. 9822-9835.
IEEE DOI 2307
Feature extraction, Detectors, Object detection, Transformers, Spatiotemporal phenomena, Laser radar, Point cloud, transformer attention BibRef

Meng, Q.H.[Qing-Hao], Wang, W.G.[Wen-Guan], Zhou, T.F.[Tian-Fei], Shen, J.B.[Jian-Bing], Van Gool, L.J.[Luc J.], Dai, D.X.[Deng-Xin],
Weakly Supervised 3d Object Detection from Lidar Point Cloud,
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Springer DOI 2011
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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
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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

Wang, G.J.[Guo-Jun], Wu, J.[Jian], Tian, B.[Bin], Teng, S.[Siyu], Chen, L.[Long], Cao, D.[Dongpu],
CenterNet3D: An Anchor Free Object Detector for Point Cloud,
ITS(23), No. 8, August 2022, pp. 12953-12965.
IEEE DOI 2208
Feature extraction, Detectors, Object detection, Proposals, Laser radar, Heating systems, Point cloud, autonomous vehicles, anchor free BibRef

Lin, C.M.[Chun-Mian], Tian, D.X.[Da-Xin], Duan, X.T.[Xu-Ting], Zhou, J.S.[Jian-Shan], Zhao, D.[Dezong], Cao, D.[Dongpu],
CL3D: Camera-LiDAR 3D Object Detection With Point Feature Enhancement and Point-Guided Fusion,
ITS(23), No. 10, October 2022, pp. 18040-18050.
IEEE DOI 2210
Object detection, Feature extraction, Laser radar, Location awareness, Semantics, Head, 3D object detection, intelligent transportation systems BibRef

Jung, W.[Woonhyung], Hyeon, J.[Janghun], Doh, N.[Nakju],
Robust Cuboid Modeling from Noisy and Incomplete 3D Point Clouds Using Gaussian Mixture Model,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
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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

Xiao, W.P.[Wei-Ping], Li, X.M.[Xiao-Mao], Liu, C.[Chang], Gao, J.T.[Jian-Tao], Luo, J.[Jun], Peng, Y.[Yan], Zhou, Y.[Yang],
3D-VDNet: Exploiting the vertical distribution characteristics of point clouds for 3D object detection and augmentation,
IVC(127), 2022, pp. 104557.
Elsevier DOI 2211
3D object detection, Vertical distribution characteristics, Object augmentation, LiDAR point cloud BibRef

Liu, N.[Nian], Zhang, N.[Ni], Shao, L.[Ling], Han, J.W.[Jun-Wei],
Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection,
PAMI(44), No. 12, December 2022, pp. 9026-9042.
IEEE DOI 2212
BibRef
Earlier: A1, A2, A4, Only:
Learning Selective Self-Mutual Attention for RGB-D Saliency Detection,
CVPR20(13753-13762)
IEEE DOI 2008
Frequency modulation, Salient object detection, RGB-D image, attention model, contrast, non-local network. Fuses, Saliency detection, Data models, Task analysis, Computational modeling, Object detection, Feature extraction BibRef

Liang, Z.M.[Zhen-Ming], Huang, Y.P.[Ying-Ping], Liu, Z.W.[Zhen-Wei],
Efficient graph attentional network for 3D object detection from Frustum-based LiDAR point clouds,
JVCIR(89), 2022, pp. 103667.
Elsevier DOI 2212
3D object detection, Multi-sensors fusion, Graph convolutional networks, Attention mechanism, 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

Xie, L.[Liang], Xu, G.D.[Guo-Dong], Cai, D.[Deng], He, X.F.[Xiao-Fei],
X-View: Non-Egocentric Multi-View 3D Object Detector,
IP(32), 2023, pp. 1488-1497.
IEEE DOI 2303
Feature extraction, Detectors, Laser radar, Point cloud compression, Interpolation, Fuses, 3D object detection, autonomous driving BibRef

Zhang, X.Y.[Xin-Yuan], Han, F.[Fei], Shen, S.[Shiyang], Wang, Y.C.[Yi-Cheng], Xu, S.[Shilong], Dong, X.[Xiao], Hu, Y.H.[Yi-Hua],
Target region extraction and segmentation algorithm for reflective tomography Lidar image,
IET-IPR(17), No. 4, 2023, pp. 1001-1009.
DOI Link 2303
image segmentation, Lidar, reflective tomography, target region extraction 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
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Liu, Z.[Zhe], Huang, T.[Tengteng], Li, B.[Bingling], Chen, X.[Xiwu], Wang, X.[Xi], Bai, X.[Xiang],
EPNet++: Cascade Bi-Directional Fusion for Multi-Modal 3D Object Detection,
PAMI(45), No. 7, July 2023, pp. 8324-8341.
IEEE DOI 2306
Point cloud compression, Feature extraction, Object detection, Cameras, Laser radar, Detectors, 3D object detection, consistency BibRef

Xie, G.D.[Guang-Da], Li, Y.[Yang], Wang, Y.P.[Yan-Ping], Li, Z.Y.[Zi-Yi], Qu, H.Q.[Hong-Quan],
3D Point Cloud Object Detection Algorithm Based on Temporal Information Fusion and Uncertainty Estimation,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
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Zheng, Z.J.[Zhi-Jie], Huang, Z.[Zhicong], Zhao, J.W.[Jing-Wen], Hu, H.F.[Hai-Feng], Chen, D.[Dihu],
DTSSD: Dual-Channel Transformer-Based Network for Point-Based 3D Object Detection,
SPLetters(30), 2023, pp. 798-802.
IEEE DOI 2307
Feature extraction, Transformers, Object detection, Point cloud compression, Estimation, Encoding, transformer 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
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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
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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
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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
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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
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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
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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
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Dong, S.W.[Shu-Wei], Kong, X.Y.[Xiao-Yu], Pan, X.[Xingjia], 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.
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WWW Link. 2311
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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
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Shan, J.W.[Jia-Wei], Zhang, G.[Gang], Tang, C.[Chufeng], Pan, H.[Hujie], Yu, Q.[Qiankun], Wu, G.[Guanhao], 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
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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,
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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

Li, C.Z.[Chun-Zheng], Wang, G.[Gaihua], Long, Q.[Qian], Zhou, Z.S.[Zheng-Shu],
SGF3D: Similarity-guided fusion network for 3D object detection,
IVC(142), 2024, pp. 104895.
Elsevier DOI Code:
WWW Link. 2402
LiDAR, 3D object detection, Multi-modal, Point cloud features BibRef

Wang, J.[Jian], Li, F.[Fan], Zhang, X.[Xuchong], Sun, H.B.[Hong-Bin],
Adversarial Obstacle Generation Against LiDAR-Based 3D Object Detection,
MultMed(26), 2024, pp. 2686-2699.
IEEE DOI 2402
Laser radar, Point cloud compression, Sensors, Detectors, Perturbation methods, Solid modeling, Adversarial attack, point cloud perturbation BibRef

An, P.[Pei], Duan, Y.C.[Yu-Cong], Huang, Y.L.[Yu-Liang], Ma, J.[Jie], Chen, Y.F.[Yan-Fei], Wang, L.[Liheng], Yang, Y.[You], Liu, Q.[Qiong],
SP-Det: Leveraging Saliency Prediction for Voxel-Based 3D Object Detection in Sparse Point Cloud,
MultMed(26), 2024, pp. 2795-2808.
IEEE DOI 2402
Task analysis, Point cloud compression, Feature extraction, Laser radar, Detectors, Object detection, 3D object detection, voxel 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

Lu, B.[Bin], Sun, Y.[Yang], Yang, Z.Y.[Zhen-Yu], Song, R.[Ran], Jiang, H.Y.[Hai-Yan], Liu, Y.H.[Yong-Huai],
HRNet: 3D object detection network for point cloud with hierarchical refinement,
PR(149), 2024, pp. 110254.
Elsevier DOI 2403
3D object detection, LiDAR point clouds, Multi-scale features, Transformer, Dynamic sample selection, Hierarchical refinement 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

Yu, C.B.[Chuan-Bo], Peng, B.[Bo], Huang, Q.M.[Qing-Ming], Lei, J.J.[Jian-Jun],
PIPC-3Ddet: Harnessing Perspective Information and Proposal Correlation for 3D Point Cloud Object Detection,
CirSysVideo(34), No. 3, March 2024, pp. 1508-1518.
IEEE DOI 2403
Feature extraction, Proposals, Point cloud compression, Object detection, Correlation, Data mining, 3D object detection, correlation reasoning BibRef

Yu, T.[Ting], Lin, X.J.[Xiao-Jun], Wang, S.H.[Shu-Hui], Sheng, W.G.[Wei-Guo], Huang, Q.M.[Qing-Ming], Yu, J.[Jun],
A Comprehensive Survey of 3D Dense Captioning: Localizing and Describing Objects in 3D Scenes,
CirSysVideo(34), No. 3, March 2024, pp. 1322-1338.
IEEE DOI 2403
Survey, Captioning. Survey, Object Localization. Task analysis, Visualization, Point cloud compression, Grounding, Surveys, Solid modeling, 3D dense captioning, 3D point cloud BibRef

Song, Z.Y.[Zi-Ying], Jia, C.Y.[Cai-Yan], Yang, L.[Lei], Wei, H.Y.[Hai-Yue], Liu, L.[Lin],
GraphAlign++: An Accurate Feature Alignment by Graph Matching for Multi-Modal 3D Object Detection,
CirSysVideo(34), No. 4, April 2024, pp. 2619-2632.
IEEE DOI 2404
Point cloud compression, Feature extraction, Object detection, Laser radar, Semantics, local graphs BibRef

Song, Z.Y.[Zi-Ying], Wei, H.Y.[Hai-Yue], Bai, L.[Lin], Yang, L.[Lei], Jia, C.Y.[Cai-Yan],
GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection,
ICCV23(3335-3346)
IEEE DOI 2401
BibRef

Zheng, Y.[Yu], Duan, Y.[Yueqi], Li, Z.[Zongtai], Zhou, J.[Jie], Lu, J.W.[Ji-Wen],
Learning Dynamic Scene-Conditioned 3D Object Detectors,
PAMI(46), No. 5, May 2024, pp. 2981-2996.
IEEE DOI 2404
Detectors, Task analysis, Point cloud compression, Object detection, Feature extraction, scene-conditioned learning BibRef

Li, J.A.[Jian-An], Dong, S.C.[Shao-Cong], Ding, L.[Lihe], Xu, T.F.[Ting-Fa],
MsSVT++: Mixed-Scale Sparse Voxel Transformer With Center Voting for 3D Object Detection,
PAMI(46), No. 5, May 2024, pp. 3736-3752.
IEEE DOI 2404
Transformers, Detectors, Point cloud compression, Windows, Object detection, voxel transformer BibRef

Wang, Q.[Qide], Liu, D.X.[Da-Xin], Liu, Z.Y.[Zhen-Yu], Xu, J.[Jiatong], Tan, J.R.[Jiang-Rong],
3D Object Segmentation Using Cross-Window Point Transformer With Latent Semantic Boundary Guidance,
MultMed(26), 2024, pp. 5951-5961.
IEEE DOI 2404
Point cloud compression, Transformers, Semantics, Task analysis, Robots, Object segmentation, transformer BibRef

Gao, A.[Aqi], Pang, Y.W.[Yan-Wei], Nie, J.[Jing], Shao, Z.[Zhuang], Cao, J.[Jiale], Guo, Y.[Yishun], Li, X.L.[Xue-Long],
ESGN: Efficient Stereo Geometry Network for Fast 3D Object Detection,
CirSysVideo(34), No. 4, April 2024, pp. 2000-2009.
IEEE DOI 2404
Feature extraction, Cameras, Object detection, Detectors, Laser radar, Representation learning BibRef

Liu, Y.J.[Yan-Jun], Yang, W.M.[Wen-Ming],
Explicit3D: Graph network with spatial inference for single image 3D object detection,
SP:IC(124), 2024, pp. 117120.
Elsevier DOI 2405
Scene understanding, 3D object detection, Graph neural network, Homogeneous transform BibRef

Zhang, Y.F.[Yi-Fan], Hou, J.H.[Jun-Hui], Yuan, Y.X.[Yi-Xuan],
A Comprehensive Study of the Robustness for LiDAR-Based 3D Object Detectors Against Adversarial Attacks,
IJCV(132), No. 5, May 2024, pp. 1592-1624.
Springer DOI 2405
BibRef

Sun, Y.[Yang], Lu, B.[Bin], Liu, Y.H.[Yong-Huai], Yang, Z.Y.[Zhen-Yu], Behera, A.[Ardhendu], Song, R.[Ran], Yuan, H.[Hejin], Jiang, H.Y.[Hai-Yan],
Exploiting Label Uncertainty for Enhanced 3D Object Detection From Point Clouds,
ITS(25), No. 6, June 2024, pp. 6074-6089.
IEEE DOI 2406
Uncertainty, Point cloud compression, Object detection, Feature extraction, Automobiles, Proposals, 3D object detection, dynamic sample selection BibRef

Xie, G.T.[Guo-Tao], Chen, Z.Y.[Zhi-Yuan], Gao, M.[Ming], Hu, M.J.[Man-Jiang], Qin, X.H.[Xiao-Hui],
PPF-Det: Point-Pixel Fusion for Multi-Modal 3D Object Detection,
ITS(25), No. 6, June 2024, pp. 5598-5611.
IEEE DOI 2406
Feature extraction, Point cloud compression, Object detection, Laser radar, Detectors, Cameras, Autonomous driving, intelligent transportation systems 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


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.[Lanqing], 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.[Yingfei], Sun, J.J.[Jian-Jian], Jia, F.[Fan], Li, S.[Shuailin], 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.[Yinmin], Xia, Z.[Zhiyi], 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

Ma, T.[Tao], Yang, X.M.[Xue-Meng], Zhou, H.B.[Hong-Bin], Li, X.[Xin], Shi, B.[Botian], Liu, J.J.[Jun-Jie], Yang, Y.C.[Yu-Chen], Liu, Z.Z.[Zhi-Zheng], He, L.[Liang], Qiao, Y.[Yu], Li, Y.K.[Yi-Kang], Li, H.S.[Hong-Sheng],
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds,
ICCV23(6713-6724)
IEEE DOI 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.[Bichen], Hou, J.[Ji], Tsai, S.[Sam], Li, R.[Ruilong], 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

Pei, Y.[Yu], Zhao, X.[Xian], Li, H.[Hao], Ma, J.Y.[Jing-Yuan], Zhang, J.W.[Jing-Wei], Pu, S.L.[Shi-Liang],
Clusterformer: Cluster-based Transformer for 3D Object Detection in Point Clouds,
ICCV23(6641-6650)
IEEE DOI 2401
BibRef

Li, Y.J.[Yag-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.[Zeyu], 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.[Guanglu], 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.[Ziwen], 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

Liu, B.[Bojun], Li, S.S.[Shan-Shan], Sheng, X.[Xihua], Li, L.[Li], Liu, D.[Dong],
Joint Optimized Point Cloud Compression for 3d Object Detection,
ICIP23(1185-1189)
IEEE DOI 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.[Zhikang], Xie, S.[Shaorong],
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

Zhang, Y., Xiang, Z., Qiao, C., Chen, S.,
Accurate and Real-Time Object Detection Based on Bird's Eye View on 3D Point Clouds,
3DV19(214-221)
IEEE DOI 1911
Feature extraction, Object detection, Laser radar, Real-time systems, object detection 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.[Junyong], 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

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

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

Zeng, J.[Jia], Chen, L.[Li], Deng, H.[Hanming], 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.[Zechuan], Yu, H.[Hongshan], Yang, Z.[Zhengeng], 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

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

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

Tang, Q.S.[Qing-Song], Bai, X.Y.[Xin-Yu], Guo, J.T.[Jin-Ting], Pan, B.[Bolin], Jiang, W.[Wuming],
DFAF3D:A dual-feature-aware anchor-free single-stage 3D detector for point clouds,
IVC(129), 2023, pp. 104594.
Elsevier DOI 2301
Dual feature aware, Deformable offset self-attention, Spatial-context feature extraction, 3D object detection BibRef

Chen, Q.X.[Qiu-Xiao], Qi, X.J.[Xiao-Jun], Song, Z.Q.[Zi-Qi],
Real-time Hierarchical Soft Attention-based 3D Object Detection in Point Clouds,
ICPR22(2928-2934)
IEEE DOI 2212
Point cloud compression, Laser radar, Robot vision systems, Object detection, Information filters, Real-time systems 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

Sun, P.[Pei], Tan, M.X.[Ming-Xing], Wang, W.[Weiyue], Liu, C.X.[Chen-Xi], Xia, F.[Fei], Leng, Z.Q.[Zhao-Qi], Anguelov, D.[Dragomir],
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds,
ECCV22(X:426-442).
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

Duan, Y.[Yao], Zhu, C.Y.[Chen-Yang], Lan, Y.Q.[Yu-Qing], Yi, R.J.[Ren-Jiao], Liu, X.W.[Xin-Wang], Xu, K.[Kai],
DisARM: Displacement Aware Relation Module for 3D Detection,
CVPR22(16959-16968)
IEEE DOI 2210
Training, Point cloud compression, Redundancy, Neural networks, Object detection, Organizations, retrieval BibRef

Zhang, Y.F.[Yi-Fan], Hu, Q.Y.[Qing-Yong], Xu, G.Q.[Guo-Quan], Ma, Y.X.[Yan-Xin], Wan, J.W.[Jian-Wei], Guo, Y.L.[Yu-Lan],
Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds,
CVPR22(18931-18940)
IEEE DOI 2210
Point cloud compression, Laser radar, Robot vision systems, Pipelines, Object detection, Detectors, Robot vision, Scene analysis and understanding 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

Wang, H.Y.[Hai-Yang], Shi, S.S.[Shao-Shuai], Yang, Z.[Ze], Fang, R.[Rongyao], Qian, Q.[Qi], Li, H.S.[Hong-Sheng], Schiele, B.[Bernt], Wang, L.W.[Li-Wei],
RBGNet: Ray-based Grouping for 3D Object Detection,
CVPR22(1100-1109)
IEEE DOI 2210
Point cloud compression, Solid modeling, Shape, Object detection, Performance gain, Feature extraction, Recognition: detection, grouping and shape analysis 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

Wang, Y.K.[Yi-Kai], Ye, T.Q.[Teng-Qi], Cao, L.[Lele], Huang, W.B.[Wen-Bing], Sun, F.C.[Fu-Chun], He, F.X.[Feng-Xiang], Tao, D.C.[Da-Cheng],
Bridged Transformer for Vision and Point Cloud 3D Object Detection,
CVPR22(12104-12113)
IEEE DOI 2210
Point cloud compression, Scalability, Object detection, Transformers, Scene analysis and understanding BibRef

Hahner, M.[Martin], Sakaridis, C.[Christos], Bijelic, M.[Mario], Heide, F.[Felix], Yu, F.[Fisher], Dai, D.X.[Deng-Xin], Van Gool, L.J.[Luc J.],
LiDAR Snowfall Simulation for Robust 3D Object Detection,
CVPR22(16343-16353)
IEEE DOI 2210
Point cloud compression, Training, Solid modeling, Laser radar, Training data, Object detection, retrieval, Robot vision, Recognition: detection BibRef

Yu, H.X.[Hong-Xing], Wu, J.J.[Jia-Jun], Yi, L.[Li],
Rotationally Equivariant 3D Object Detection,
CVPR22(1446-1454)
IEEE DOI 2210
Representation learning, Point cloud compression, Deep learning, Solid modeling, Computational modeling, Object detection, Scene analysis and understanding BibRef

Chen, Y.[Yukang], Li, Y.W.[Yan-Wei], Zhang, X.Y.[Xiang-Yu], Sun, J.[Jian], Jia, J.Y.[Jia-Ya],
Focal Sparse Convolutional Networks for 3D Object Detection,
CVPR22(5418-5427)
IEEE DOI 2210
Convolutional codes, Point cloud compression, Convolution, Computational modeling, Object detection, Recognition: detection, Deep learning architectures and techniques BibRef

He, C.H.[Chen-Hang], Li, R.H.[Rui-Huang], Li, S.[Shuai], Zhang, L.[Lei],
Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds,
CVPR22(8407-8417)
IEEE DOI 2210
Point cloud compression, Convolutional codes, Stochastic processes, Distributed databases, Object detection, retrieval 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

Misra, I.[Ishan], Girdhar, R.[Rohit], Joulin, A.[Armand],
An End-to-End Transformer Model for 3D Object Detection,
ICCV21(2886-2897)
IEEE DOI 2203
Point cloud compression, Solid modeling, Shape, Object detection, Transformers, Representation learning BibRef

Liu, Z.[Ze], Zhang, Z.[Zheng], Cao, Y.[Yue], Hu, H.[Han], Tong, X.[Xin],
Group-Free 3D Object Detection via Transformers,
ICCV21(2929-2938)
IEEE DOI 2203
Point cloud compression, Training, Stacking, Object detection, Detectors, Benchmark testing, 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.[Hanxue], 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

Man, Y.Z.[Yun-Ze], Weng, X.[Xinshuo], Sivakumar, P.K.[Prasanna Kumar], O'Toole, M.[Matthew], Kitani, K.[Kris],
Multi-Echo LiDAR for 3D Object Detection,
ICCV21(3743-3752)
IEEE DOI 2203
Point cloud compression, Reflectivity, Laser radar, Pulse measurements, Measurement by laser beam, Object detection, Vision for robotics and autonomous vehicles BibRef

Xu, Q.G.[Qian-Geng], Zhou, Y.[Yin], Wang, W.[Weiyue], Qi, C.R.[Charles R.], Anguelov, D.[Dragomir],
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation,
ICCV21(15426-15436)
IEEE DOI 2203
Point cloud compression, Semantics, Training data, Detectors, Object detection, Reliability, 3D from multiview and other sensors BibRef

Fan, L.[Lue], Xiong, X.[Xuan], Wang, F.[Feng], Wang, N.Y.[Nai-Yan], Zhang, Z.X.[Zhao-Xiang],
RangeDet: In Defense of Range View for LiDAR-based 3D Object Detection,
ICCV21(2898-2907)
IEEE DOI 2203
Solid modeling, Image segmentation, Quantization (signal), Codes, Semantics, Detection and localization in 2D and 3D, Stereo, 3D from multiview and other sensors BibRef

Guan, T.R.[Tian-Rui], Wang, J.[Jun], Lan, S.Y.[Shi-Yi], Chandra, R.[Rohan], Wu, Z.X.[Zu-Xuan], Davis, L.S.[Larry S.], Manocha, D.[Dinesh],
M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers,
WACV22(2293-2303)
IEEE DOI 2202
Point cloud compression, Visualization, Laser radar, Object detection, 3D Computer Vision Object Detection/Recognition/Categorization 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

Qiu, S.[Shi], Wu, Y.F.[Yun-Fan], Anwar, S.[Saeed], Li, C.Y.[Chong-Yi],
Investigating Attention Mechanism in 3D Point Cloud Object Detection,
3DV21(403-412)
IEEE DOI
WWW Link. 2201
Code, Object Detection. Point cloud compression, Service robots, Pipelines, Object detection, Transformers, Reliability engineering 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.[Weiyue], 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, Pattern recognition, Forecasting BibRef

Katageri, S.[Siddharth], Kudari, S.V.[Shashidhar V], Gunari, A.[Akshaykumar], Tabib, R.A.[Ramesh Ashok], Mudenagudi, U.[Uma],
ABD-Net: Attention Based Decomposition Network for 3D Point Cloud Decomposition,
StruCo3D21(2049-2057)
IEEE DOI 2112
Geometry, Solid modeling, Shape, Deep architecture BibRef

Katageri, S.[Siddharth], Kulmi, S.[Sameer], Tabib, R.A.[Ramesh Ashok], Mudenagudi, U.[Uma],
PointDCCNet: 3D Object Categorization Network using Point Cloud Decomposition,
WiCV21(2200-2208)
IEEE DOI 2109
Solid modeling, Shape, Network topology, Superresolution, Benchmark testing, Topology BibRef

Zhu, M.[Ming], Ma, C.[Chao], Ji, P.[Pan], Yang, X.K.[Xiao-Kang],
Cross-Modality 3D Object Detection,
WACV21(3771-3780)
IEEE DOI 2106
Laser radar, Fuses, Semantics, Object detection 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

Han, W.[Wei], Zhang, Z.D.[Zheng-Dong], Caine, B.[Benjamin], Yang, B.[Brandon], Sprunk, C.[Christoph], Alsharif, O.[Ouais], Ngiam, J.Q.[Ji-Quan], Vasudevan, V.[Vijay], Shlens, J.[Jonathon], Chen, Z.F.[Zhi-Feng],
Streaming Object Detection for 3-d Point Clouds,
ECCV20(XVIII:423-441).
Springer DOI 2012
BibRef

Huang, R.[Rui], Zhang, W.Y.[Wan-Yue], Kundu, A.[Abhijit], Pantofaru, C.[Caroline], Ross, D.A.[David A.], Funkhouser, T.[Thomas], Fathi, A.[Alireza],
An LSTM Approach to Temporal 3d Object Detection in Lidar Point Clouds,
ECCV20(XVIII:266-282).
Springer DOI 2012
BibRef

Du, H.Y.[Hong-Yuan], Li, L.J.[Lin-Jun], Liu, B.[Bo], Vasconcelos, N.M.[Nuno M.],
Spot: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection,
ECCV20(XI:230-247).
Springer DOI 2011
BibRef

Zhu, X.G.[Xin-Ge], Ma, Y.X.[Yue-Xin], Wang, T.[Tai], Xu, Y.[Yan], Shi, J.P.[Jian-Ping], Lin, D.[Dahua],
SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds,
ECCV20(XXV:581-597).
Springer DOI 2011
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

He, C.H.[Chen-Hang], Li, R.H.[Rui-Huang], Zhang, Y.B.[Ya-Bin], Li, S.[Shuai], Zhang, L.[Lei],
MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences,
CVPR23(5196-5205)
IEEE DOI 2309
BibRef

He, C.H.[Chen-Hang], Zeng, H.[Hui], Huang, J.Q.[Jian-Qiang], Hua, X.S.[Xian-Sheng], Zhang, L.[Lei],
Structure Aware Single-Stage 3D Object Detection From Point Cloud,
CVPR20(11870-11879)
IEEE DOI 2008
Feature extraction, Task analysis, Detectors, Object detection, Periodic structures, Tensile stress BibRef

Hu, P., Ziglar, J., Held, D., Ramanan, D.,
What You See is What You Get: Exploiting Visibility for 3D Object Detection,
CVPR20(10998-11006)
IEEE DOI 2008
Laser radar, Robot sensing systems, Cognition, Object detection BibRef

Qian, R., Garg, D., Wang, Y., You, Y., Belongie, S., Hariharan, B., Campbell, M., Weinberger, K.Q., Chao, W.,
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection,
CVPR20(5880-5889)
IEEE DOI 2008
Detectors, Object detection, Laser radar, Pipelines, Quantization (signal), Estimation BibRef

Piao, Y., Rong, Z., Zhang, M., Ren, W., Lu, H.,
A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection,
CVPR20(9057-9066)
IEEE DOI 2008
Saliency detection, Bridges, Testing, Object detection, Knowledge engineering, Training 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

Qi, C.R., Chen, X., Litany, O., Guibas, L.J.,
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes,
CVPR20(4403-4412)
IEEE DOI 2008
Object detection, Proposals, Feature extraction, Poles and towers, Semantics BibRef

Ahmed, S.M., Chew, C.M.,
Density-Based Clustering for 3D Object Detection in Point Clouds,
CVPR20(10605-10614)
IEEE DOI 2008
Task analysis, Object detection, Proposals, Semantics, Image segmentation BibRef

Chen, Y., Liu, S., Shen, X., Jia, J.,
DSGN: Deep Stereo Geometry Network for 3D Object Detection,
CVPR20(12533-12542)
IEEE DOI 2008
Feature extraction, Geometry, Object detection, Detectors, Laser radar BibRef

Fu, K., Fan, D., Ji, G., Zhao, Q.,
JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection,
CVPR20(3049-3059)
IEEE DOI 2008
Feature extraction, Adaptation models, Object detection, Training, Robustness, Decoding BibRef

Zhang, M., Ren, W., Piao, Y., Rong, Z., Lu, H.,
Select, Supplement and Focus for RGB-D Saliency Detection,
CVPR20(3469-3478)
IEEE DOI 2008
Feature extraction, Saliency detection, Image edge detection, Task analysis, Fuses, Object detection BibRef

Chen, J.T.[Jin-Tai], Lei, B.W.[Bi-Wen], Song, Q.Y.[Qing-Yu], Ying, H.C.[Hao-Chao], Chen, D.Z.[Danny Z.], Wu, J.[Jian],
A Hierarchical Graph Network for 3D Object Detection on Point Clouds,
CVPR20(389-398)
IEEE DOI 2008
Shape, Semantics, Proposals, Object detection, Convolution, Feature extraction BibRef

Shen, X., Stamos, I.,
Frustum VoxNet for 3D object detection from RGB-D or Depth images,
WACV20(1687-1695)
IEEE DOI 2006
Object detection, Training, Robots, Proposals, Sensors BibRef

Lang, A.H.[Alex H.], Vora, S.[Sourabh], Caesar, H.[Holger], Zhou, L.B.[Lu-Bing], Yang, J.[Jiong], Beijbom, O.[Oscar],
PointPillars: Fast Encoders for Object Detection From Point Clouds,
CVPR19(12689-12697).
IEEE DOI 2002
BibRef

Lin, W., Chen, Y., Wang, C., Li, J.,
Using Edgeconv to Improve 3d Object Detection From RGB-D Data,
Indoor3D19(835-839).
DOI Link 1912
BibRef

Yang, Z.T.[Ze-Tong], Jiang, L.[Li], Sun, Y.N.[Ya-Nan], Schiele, B.[Bernt], Jia, J.Y.[Jia-Ya],
A Unified Query-based Paradigm for Point Cloud Understanding,
CVPR22(8531-8541)
IEEE DOI 2210
Point cloud compression, Shape, Pipelines, Semantics, Feature extraction, grouping and shape analysis BibRef

Yang, Z.T.[Ze-Tong], Sun, Y.N.[Ya-Nan], Liu, S.[Shu], Shen, X.Y.[Xiao-Yong], Jia, J.Y.[Jia-Ya],
STD: Sparse-to-Dense 3D Object Detector for Point Cloud,
ICCV19(1951-1960)
IEEE DOI 2004
computer graphics, feature extraction, image representation, neural nets, object detection, STD, point cloud, Training BibRef

Zhang, L.J.[Lun-Jun], Yang, A.J.[Anqi Joyce], Xiong, Y.W.[Yu-Wen], Casas, S.[Sergio], Yang, B.[Bin], Ren, M.Y.[Meng-Ye], Urtasun, R.[Raquel],
Towards Unsupervised Object Detection from LiDAR Point Clouds,
CVPR23(9317-9328)
IEEE DOI 2309
BibRef

Yang, B.[Bin], Luo, W.J.[Wen-Jie], Urtasun, R.[Raquel],
PIXOR: Real-time 3D Object Detection from Point Clouds,
CVPR18(7652-7660)
IEEE DOI 1812
Object detection, Detectors, Feature extraction, Real-time systems, Computer architecture BibRef

Zhou, Y., Tuzel, O.,
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection,
CVPR18(4490-4499)
IEEE DOI 1812
Laser radar, Feature extraction, Shape, Proposals, Encoding 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

Zheng, T., Chen, C., Yuan, J., Li, B., Ren, K.,
PointCloud Saliency Maps,
ICCV19(1598-1606)
IEEE DOI 2004
Code, Saliency.
WWW Link. convolutional neural nets, image classification, image representation, image segmentation, object detection, DGCNN, Predictive models BibRef

Zhang, Z.Y.[Zhi-Yuan], Hua, B.S.[Binh-Son], Yeung, S.K.[Sai-Kit],
ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics,
ICCV19(1607-1616)
IEEE DOI 2004
convolutional neural nets, feature extraction, image classification, image representation, image segmentation, Semantics BibRef

Li, J.X.[Jia-Xin], Lee, G.H.[Gim Hee],
USIP: Unsupervised Stable Interest Point Detection From 3D Point Clouds,
ICCV19(361-370)
IEEE DOI 2004
Code, Interest Pointe.
WWW Link. feature extraction, learning (artificial intelligence), object detection, probability, Solid modeling BibRef

Yin, K., Liu, S., Liu, R., Chen, Y., Shen, K.,
Cross Modal Multiscale Fusion Net for Real-time RGB-D Detection,
ICPR18(2386-2391)
IEEE DOI 1812
convolution, feature extraction, feedforward neural nets, image colour analysis, object detection, sensor fusion, Merging BibRef

Qi, C.R., Liu, W., Wu, C., Su, H., Guibas, L.J.,
Frustum PointNets for 3D Object Detection from RGB-D Data,
CVPR18(918-927)
IEEE DOI 1812
Object detection, Proposals, Image segmentation, Detectors BibRef

Guo, L.[Lin], Fan, G.L.[Guo-Liang], Sheng, W.H.[Wei-Hua],
Robust object detection by cuboid matching with local plane optimization in indoor RGB-D images,
VCIP17(1-4)
IEEE DOI 1804
geometry, image colour analysis, object detection, optimisation, cuboid candidates, cuboid initialization, indoor scene BibRef

Lahoud, J., Ghanem, B.,
2D-Driven 3D Object Detection in RGB-D Images,
ICCV17(4632-4640)
IEEE DOI 1802
image colour analysis, learning (artificial intelligence), multilayer perceptrons, object detection, search problems, BibRef

Audet, F.[François], Allili, M.S.[Mohand Said], Cretu, A.M.[Ana-Maria],
Salient Object Detection in Images by Combining Objectness Clues in the RGBD Space,
ICIAR17(247-255).
Springer DOI 1706
BibRef

Lev, J., Lim, J.H., Ouarti, N.,
Principal curvature of point cloud for 3D shape recognition,
ICIP17(610-614)
IEEE DOI 1803
Histograms, Noise measurement, Object recognition, Robustness, Sensors, Shape, Histograms, Principal curvature BibRef

Takabe, A., Takehara, H., Kawai, N., Sato, T., Machida, T., Nakanishi, S., Yokoya, N.,
Moving object detection from a point cloud using photometric and depth consistencies,
ICPR16(561-566)
IEEE DOI 1705
Cameras, Data models, Histograms, Measurement by laser beam, Object detection, Solid modeling, Three-dimensional, displays BibRef

Wang, S.T.[Song-Tao], Zhou, Z.[Zhen], Qu, H.B.[Han-Bing], Li, B.[Bin],
Visual Saliency Detection for RGB-D Images with Generative Model,
ACCV16(V: 20-35).
Springer DOI 1704
BibRef

Peng, H.[Houwen], Li, B.[Bing], Xiong, W.H.[Wei-Hua], Hu, W.M.[Wei-Ming], Ji, R.R.[Rong-Rong],
RGBD Salient Object Detection: A Benchmark and Algorithms,
ECCV14(III: 92-109).
Springer DOI 1408
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

Shigematsu, R., Feng, D., You, S., Barnes, N.M.[Nick M.],
Learning RGB-D Salient Object Detection Using Background Enclosure, Depth Contrast, and Top-Down Features,
CogCV17(2749-2757)
IEEE DOI 1802
Feature extraction, Histograms, Image color analysis, Microprocessors, Object detection, Visualization BibRef

Feng, D., Barnes, N., You, S.,
HOSO: Histogram of Surface Orientation for RGB-D Salient Object Detection,
DICTA17(1-8)
IEEE DOI 1804
graph theory, image colour analysis, object detection, HOSO, KDF, RGB-D data, RGB-D saliency, BibRef

Feng, D., Barnes, N.M.[Nick M.], You, S., McCarthy, C.[Chris],
Local Background Enclosure for RGB-D Salient Object Detection,
CVPR16(2343-2350)
IEEE DOI 1612
BibRef

Chandra, S.[Siddhartha], Chrysos, G.G.[Grigorios G.], Kokkinos, I.[Iasonas],
Surface Based Object Detection in RGBD Images,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Liu, W.[Wei], Ji, R.R.[Rong-Rong], Li, S.[Shaozi],
Towards 3D object detection with bimodal deep Boltzmann machines over RGBD imagery,
CVPR15(3013-3021)
IEEE DOI 1510
BibRef

Song, S.[Shuran], Xiao, J.X.[Jian-Xiong],
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images,
CVPR16(808-816)
IEEE DOI 1612
BibRef
Earlier:
Sliding Shapes for 3D Object Detection in Depth Images,
ECCV14(VI: 634-651).
Springer DOI 1408
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:Jul 13, 2024 at 15:27:21