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3D object detection, monocular images, feature enhancement,
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Feature extraction, Visualization, Task analysis, Solid modeling,
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Elsevier DOI
2112
3D shape generation, Invariant viewpoint, Disentanglement, B-spline surfaces
BibRef
Li, S.[Shuai],
Shi, J.Y.[Jia-Ying],
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Elsevier DOI
2109
Monocular Depth Estimation, Semantic Constraints,
Hierarchical Object Relationship, Global and Local Context
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Simonelli, A.[Andrea],
Bulò, S.R.[Samuel Rota],
Porzi, L.[Lorenzo],
Antequera, M.L.[Manuel López],
Kontschieder, P.[Peter],
Disentangling Monocular 3D Object Detection:
From Single to Multi-Class Recognition,
PAMI(44), No. 3, March 2022, pp. 1219-1231.
IEEE DOI
2202
Measurement, Shape, Object detection, Feature extraction, Estimation,
object recognition, vision and scene understanding, object detection
BibRef
Liu, H.[He],
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Wang, Y.K.[Yi-Kai],
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Huang, W.B.[Wen-Bing],
Fine-Grained Multilevel Fusion for Anti-Occlusion Monocular 3D Object
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IP(31), 2022, pp. 4050-4061.
IEEE DOI
2206
Object detection, Feature extraction, Point cloud compression,
Laser radar, Convolution, Information filters,
fine-grained multi-level
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Qin, Z.Y.[Zeng-Yi],
Wang, J.L.[Jing-Lu],
Lu, Y.[Yan],
MonoGRNet: A General Framework for Monocular 3D Object Detection,
PAMI(44), No. 9, September 2022, pp. 5170-5184.
IEEE DOI
2208
Object detection, Estimation, Task analysis, Supervised learning,
Proposals, Detectors, 3D object detection, monocular, weakly supervised learning
BibRef
Guan, H.[He],
Song, C.F.[Chun-Feng],
Zhang, Z.X.[Zhao-Xiang],
Tan, T.N.[Tie-Niu],
MonoPoly: A practical monocular 3D object detector,
PR(132), 2022, pp. 108967.
Elsevier DOI
2209
Object detection, Monocular 3D, Real-time, Light-weight
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Zhou, Y.S.[Yun-Song],
He, Y.[Yuan],
Zhu, H.Z.[Hong-Zi],
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Li, H.Y.[Hong-Yang],
Jiang, Q.H.[Qin-Hong],
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PAMI(44), No. 12, December 2022, pp. 10114-10128.
IEEE DOI
2212
BibRef
Earlier:
Monocular 3D Object Detection: An Extrinsic Parameter Free Approach,
CVPR21(7552-7562)
IEEE DOI
2111
Cameras, Detectors, Perturbation methods, Object detection,
Solid modeling, Roads, Monocular 3D object detection, autonomous driving.
Computational modeling, Predictive models
BibRef
Fan, Z.X.[Zhao-Xin],
Zhu, Y.[Yazhi],
He, Y.L.[Yu-Lin],
Sun, Q.[Qi],
Liu, H.Y.[Hong-Yan],
He, J.[Jun],
Deep Learning on Monocular Object Pose Detection and Tracking:
A Comprehensive Overview,
Surveys(55), No. 4, April 2023, pp. xx-yy.
DOI Link
2212
monocular, Object pose detection, object pose tracking,
instance-level, category-level
BibRef
Cao, Y.Z.H.[Yuan-Zhou-Han],
Zhang, H.[Hui],
Li, Y.D.[Yi-Dong],
Ren, C.[Chao],
Lang, C.Y.[Cong-Yan],
CMAN: Leaning Global Structure Correlation for Monocular 3D Object
Detection,
ITS(23), No. 12, December 2022, pp. 24727-24737.
IEEE DOI
2212
Correlation, Object detection, Point cloud compression,
Feature extraction, Laser radar, Estimation, 3D object detection, data fusion
BibRef
Liu, A.A.[An-An],
Zhang, C.Y.[Chen-Yu],
Li, W.H.[Wen-Hui],
Gao, X.Y.[Xing-Yu],
Sun, Z.Y.[Zheng-Ya],
Li, X.Y.[Xuan-Ya],
Self-Supervised Auxiliary Domain Alignment for Unsupervised 2D
Image-Based 3D Shape Retrieval,
CirSysVideo(32), No. 12, December 2022, pp. 8809-8821.
IEEE DOI
2212
Shape measurement, Task analysis, Representation learning,
Semantics, Feature extraction, Visualization, domain adaptation
BibRef
Feng, D.P.[Da-Peng],
Han, S.[Songfang],
Xu, H.[Hang],
Liang, X.D.[Xiao-Dan],
Tan, X.J.[Xiao-Jun],
Point-Guided Contrastive Learning for Monocular 3-D Object Detection,
Cyber(53), No. 2, February 2023, pp. 954-966.
IEEE DOI
2301
Object detection, Feature extraction, Task analysis, Proposals,
Laser radar, Estimation, Contrastive learning, deep neural network,
self-supervised learning
BibRef
Kim, Y.[Youngseok],
Kim, S.[Sanmin],
Sim, S.[Sangmin],
Choi, J.W.[Jun Won],
Kum, D.[Dongsuk],
Boosting Monocular 3D Object Detection With Object-Centric Auxiliary
Depth Supervision,
ITS(24), No. 2, February 2023, pp. 1801-1813.
IEEE DOI
2302
Object detection, Estimation, Detectors, Task analysis, Laser radar,
Training, 3D object detection, monocular image,
deep learning
BibRef
Wang, F.S.[Feng-Sui],
Xu, Y.[Yue],
Chen, J.G.[Jin-Gang],
Xiong, L.[Lei],
Monocular 3D object detection via Mask-Revised Network and quality
perception loss,
IET-CV(17), No. 2, 2023, pp. 231-240.
DOI Link
2304
BibRef
Kim, J.U.[Jung Uk],
Kim, H.I.[Hyung-Il],
Ro, Y.M.[Yong Man],
Stereoscopic Vision Recalling Memory for Monocular 3D Object
Detection,
IP(32), 2023, pp. 2749-2760.
IEEE DOI
2305
Object detection, Visualization, Stereo image processing,
Detectors, Training, Location awareness, 3D object detection,
deep learning
BibRef
Chen, W.[Wei],
Zhao, J.[Jie],
Zhao, W.L.[Wan-Lei],
Wu, S.Y.[Song-Yuan],
Shape-Aware Monocular 3D Object Detection,
ITS(24), No. 6, June 2023, pp. 6416-6424.
IEEE DOI
2306
Object detection, Detectors, Training, Task analysis, Estimation,
Feature extraction, Monocular 3D object detection, shape-aware
BibRef
Tao, C.B.[Chong-Ben],
Cao, J.C.[Jie-Cheng],
Wang, C.[Chen],
Zhang, Z.[Zufeng],
Gao, Z.[Zhen],
Pseudo-Mono for Monocular 3D Object Detection in Autonomous Driving,
CirSysVideo(33), No. 8, August 2023, pp. 3962-3975.
IEEE DOI
2308
Object detection, Feature extraction, Transformers, Visualization,
Decoding, Heuristic algorithms, 3D object detection, stereo images,
multi-scale feature
BibRef
Melas-Kyriazi, L.[Luke],
Laina, I.[Iro],
Rupprecht, C.[Christian],
Vedaldi, A.[Andrea],
RealFusion 360° Reconstruction of Any Object from a Single Image,
CVPR23(8446-8455)
IEEE DOI
2309
BibRef
Xi, Y.L.[Yu-Ling],
Chen, H.[Hao],
Wang, N.[Ning],
Wang, P.[Peng],
Zhang, Y.N.[Yan-Ning],
Shen, C.H.[Chun-Hua],
Liu, Y.F.[Yi-Fan],
A Dynamic Feature Interaction Framework for Multi-task Visual
Perception,
IJCV(131), No. 1, January 2023, pp. 2977-2993.
Springer DOI
2310
instance segmentation, semantic segmentation, monocular 3D detection,
and depth estimation.
BibRef
Huang, C.X.[Chen-Xi],
He, T.[Tong],
Ren, H.D.[Hai-Dong],
Wang, W.X.[Wen-Xiao],
Lin, B.B.[Bin-Bin],
Cai, D.[Deng],
OBMO: One Bounding Box Multiple Objects for Monocular 3D Object
Detection,
IP(32), 2023, pp. 6570-6581.
IEEE DOI Code:
WWW Link.
2312
BibRef
Song, D.[Dan],
Yang, Y.Y.X.[Yuan-Yan-Xiang],
Li, W.H.[Wen-Hui],
Shao, Z.[Zhuang],
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Li, X.[Xuanya],
Liu, A.A.[An-An],
Adaptive semantic transfer network for unsupervised 2D image-based 3D
model retrieval,
CVIU(238), 2024, pp. 103858.
Elsevier DOI
2312
Semantic alignment, Unsupervised domain adaptation,
Unsupervised 2D image-based 3D model retrieval
BibRef
Sheng, H.L.[Hua-Lian],
Cai, S.[Sijia],
Zhao, N.[Na],
Deng, B.[Bing],
Zhao, M.J.[Min-Jian],
Lee, G.H.[Gim Hee],
PDR: Progressive Depth Regularization for Monocular 3D Object
Detection,
CirSysVideo(33), No. 12, December 2023, pp. 7591-7603.
IEEE DOI
2312
BibRef
Zhang, L.X.[Lin-Xiang],
Li, B.J.[Bao-Jun],
He, X.W.[Xue-Wen],
Sun, X.S.[Xu-Sheng],
MultiBranch-Mono3D: Lightweight improvement of FCOS3D,
CVIDL23(225-230)
IEEE DOI
2403
Measurement, Deep learning, Uncertainty, Prediction algorithms,
lightweight network
BibRef
Liu, X.P.[Xian-Peng],
Zheng, C.[Ce],
Cheng, K.[Kelvin],
Xue, N.[Nan],
Qi, G.J.[Guo-Jun],
Wu, T.F.[Tian-Fu],
Monocular 3D Object Detection with Bounding Box Denoising in 3D by
Perceiver,
ICCV23(6413-6423)
IEEE DOI
2401
BibRef
Huang, K.C.[Kuan-Chih],
Yang, M.H.[Ming-Hsuan],
Tsai, Y.H.[Yi-Hsuan],
Delving into Motion-Aware Matching for Monocular 3D Object Tracking,
ICCV23(6886-6895)
IEEE DOI Code:
WWW Link.
2401
BibRef
Liu, R.S.[Ruo-Shi],
Wu, R.[Rundi],
van Hoorick, B.[Basile],
Tokmakov, P.[Pavel],
Zakharov, S.[Sergey],
Vondrick, C.[Carl],
Zero-1-to-3: Zero-shot One Image to 3D Object,
ICCV23(9264-9275)
IEEE DOI
2401
BibRef
Yang, Y.[Yiran],
Yin, D.[Dongshuo],
Rong, X.[Xuee],
Sun, X.[Xian],
Diao, W.H.[Wen-Hui],
Li, X.M.[Xin-Ming],
Beyond the limitation of monocular 3D detector via knowledge
distillation,
ICCV23(9043-9052)
IEEE DOI
2401
BibRef
Xu, J.[Junkai],
Peng, L.[Liang],
Chen, H.R.[Hao-Ran],
Li, H.[Hao],
Qian, W.[Wei],
Li, K.[Ke],
Wang, W.X.[Wen-Xiao],
Cai, D.[Deng],
MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection,
ICCV23(6791-6801)
IEEE DOI Code:
WWW Link.
2401
BibRef
Min, Z.X.[Zhi-Xiang],
Zhuang, B.B.[Bing-Bing],
Schulter, S.[Samuel],
Liu, B.[Buyu],
Dunn, E.[Enrique],
Chandraker, M.[Manmohan],
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization,
CVPR23(21404-21414)
IEEE DOI
2309
BibRef
Ai, H.[Hao],
Cao, Z.D.[Zi-Dong],
Cao, Y.P.[Yan-Pei],
Shan, Y.[Ying],
Wang, L.[Lin],
HRDFuse: Monocular 360° Depth Estimation by Collaboratively Learning
Holistic-with-Regional Depth Distributions,
CVPR23(13273-13282)
IEEE DOI
2309
BibRef
Lee, H.J.[Hyo-Jun],
Kim, H.[Hanul],
Choi, S.M.[Su-Min],
Jeong, S.G.[Seong-Gyun],
Koh, Y.J.[Yeong Jun],
BAAM: Monocular 3D pose and shape reconstruction with bi-contextual
attention module and attention-guided modeling,
CVPR23(9011-9020)
IEEE DOI
2309
BibRef
Xu, D.[Dejia],
Jiang, Y.F.[Yi-Fan],
Wang, P.H.[Pei-Hao],
Fan, Z.W.[Zhi-Wen],
Wang, Y.[Yi],
Wang, Z.Y.[Zhang-Yang],
NeuralLift-360: Lifting an in-the-Wild 2D Photo to A 3D Object with
360° Views,
CVPR23(4479-4489)
IEEE DOI
2309
BibRef
Zhu, M.H.[Ming-Han],
Ge, L.T.[Ling-Ting],
Wang, P.[Panqu],
Peng, H.[Huei],
MonoEdge: Monocular 3D Object Detection Using Local Perspectives,
WACV23(643-652)
IEEE DOI
2302
Visualization, Shape, Estimation, Object detection,
Network architecture, Distortion, Algorithms: 3D computer vision, Robotics
BibRef
Shi, X.P.[Xue-Peng],
Chen, Z.X.[Zhi-Xiang],
Kim, T.K.[Tae-Kyun],
Multivariate Probabilistic Monocular 3D Object Detection,
WACV23(4270-4279)
IEEE DOI
2302
Training, Visualization, Solid modeling, Object detection,
Probabilistic logic, Probability distribution, Algorithms: 3D computer vision
BibRef
Zohaib, M.[Mohammad],
Taiana, M.[Matteo],
del Bue, A.[Alessio],
Towards Reconstruction of 3D Shapes in a Realistic Environment,
CIAP22(II:3-14).
Springer DOI
2205
BibRef
Qin, Z.[Zequn],
Li, X.[Xi],
MonoGround: Detecting Monocular 3D Objects from the Ground,
CVPR22(3783-3792)
IEEE DOI
2210
Training, Laser radar, Costs, Soft sensors, Estimation, 3D from single images
BibRef
Sim, S.[Sangmin],
Kim, Y.[Youngseok],
Kum, D.[Dongsuk],
Sequential Image-based 3D Object Detection with Location Refinement,
ICPR22(3625-3631)
IEEE DOI
2212
Location awareness, Meters,
Uncertainty, Object detection, Detectors, Feature extraction
BibRef
Barath, D.[Daniel],
Sweeney, C.[Chris],
Relative Pose Solvers using Monocular Depth,
ICPR22(4037-4043)
IEEE DOI
2212
Pose estimation, Fitting, Cameras,
Noise measurement, Standards, Optimization
BibRef
Haq, M.A.[Muhamad Amirul],
Ruan, S.J.[Shanq-Jang],
Shao, M.E.[Mei-En],
Haq, Q.M.U.[Qazi Mazhar Ul],
Liang, P.J.[Pei-Jung],
Gao, D.Q.[De-Qin],
One Stage Monocular 3D Object Detection Utilizing Discrete Depth and
Orientation Representation,
ITS(23), No. 11, November 2022, pp. 21630-21640.
IEEE DOI
2212
Object detection, Cameras, Point cloud compression, Laser radar,
Feature extraction, Task analysis, 3D object detection, deep learning
BibRef
Paskin, M.[Martha],
Baum, D.[Daniel],
Dean, M.N.[Mason N.],
von Tycowicz, C.[Christoph],
A Kendall Shape Space Approach to 3D Shape Estimation from 2D Landmarks,
ECCV22(II:363-379).
Springer DOI
2211
BibRef
Yang, J.[Ji],
Zuo, X.X.[Xin-Xin],
Wang, S.[Sen],
Yu, Z.B.[Zhen-Bo],
Li, X.Y.[Xing-Yu],
Ni, B.B.[Bing-Bing],
Gong, M.L.[Ming-Lun],
Cheng, L.[Li],
Object Wake-Up: 3D Object Rigging from a Single Image,
ECCV22(II:311-327).
Springer DOI
2211
BibRef
Lian, Q.[Qing],
Xu, Y.B.[Yan-Bo],
Yao, W.L.[Wei-Long],
Chen, Y.[Yingcong],
Zhang, T.[Tong],
Semi-supervised Monocular 3D Object Detection by Multi-view Consistency,
ECCV22(VIII:715-731).
Springer DOI
2211
BibRef
Li, Z.Y.[Zhen-Yu],
Chen, Z.[Zehui],
Li, A.[Ang],
Fang, L.J.[Liang-Ji],
Jiang, Q.H.[Qin-Hong],
Liu, X.M.[Xian-Ming],
Jiang, J.J.[Jun-Jun],
Unsupervised Domain Adaptation for Monocular 3D Object Detection via
Self-training,
ECCV22(IX:245-262).
Springer DOI
2211
BibRef
Wang, T.[Tai],
Pang, J.M.[Jiang-Miao],
Lin, D.[Dahua],
Monocular 3D Object Detection with Depth from Motion,
ECCV22(IX:386-403).
Springer DOI
2211
BibRef
Kumar, A.[Abhinav],
Brazil, G.[Garrick],
Corona, E.[Enrique],
Parchami, A.[Armin],
Liu, X.M.[Xiao-Ming],
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection,
ECCV22(IX:664-683).
Springer DOI
2211
BibRef
Li, Y.Y.[Ying-Yan],
Chen, Y.T.[Yun-Tao],
He, J.W.[Jia-Wei],
Zhang, Z.X.[Zhao-Xiang],
Densely Constrained Depth Estimator for Monocular 3D Object Detection,
ECCV22(IX:718-734).
Springer DOI
2211
BibRef
Liu, W.Y.[Wei-Yang],
Liu, Z.[Zhen],
Paull, L.[Liam],
Weller, A.[Adrian],
Schölkopf, B.[Bernhard],
Structural Causal 3D Reconstruction,
ECCV22(I:140-159).
Springer DOI
2211
BibRef
Hong, Y.[Yu],
Dai, H.[Hang],
Ding, Y.[Yong],
Cross-Modality Knowledge Distillation Network for Monocular 3D Object
Detection,
ECCV22(X:87-104).
Springer DOI
2211
BibRef
Huang, Z.X.[Zi-Xuan],
Stojanov, S.[Stefan],
Thai, A.[Anh],
Jampani, V.[Varun],
Rehg, J.M.[James M.],
Planes vs. Chairs: Category-Guided 3D Shape Learning Without any 3D
Cues,
ECCV22(I:727-744).
Springer DOI
2211
BibRef
Zhang, J.Z.[Jun-Zhe],
Ren, D.[Daxuan],
Cai, Z.A.[Zhong-Ang],
Yeo, C.K.[Chai Kiat],
Dai, B.[Bo],
Loy, C.C.[Chen Change],
Monocular 3D Object Reconstruction with GAN Inversion,
ECCV22(I:673-689).
Springer DOI
2211
BibRef
Peng, L.[Liang],
Wu, X.P.[Xiao-Pei],
Yang, Z.[Zheng],
Liu, H.F.[Hai-Feng],
Cai, D.[Deng],
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection,
ECCV22(I:71-88).
Springer DOI
2211
BibRef
Zhao, C.[Chen],
Hu, Y.L.[Yin-Lin],
Salzmann, M.[Mathieu],
Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation
of Unseen Objects,
ECCV22(I:106-122).
Springer DOI
2211
BibRef
Chen, J.C.[Jia-Cheng],
Qian, Y.M.[Yi-Ming],
Furukawa, Y.[Yasutaka],
HEAT: Holistic Edge Attention Transformer for Structured
Reconstruction,
CVPR22(3856-3865)
IEEE DOI
2210
Heating systems, Codes, Image edge detection, Architecture,
Computer architecture, Transformer cores, 3D from single images
BibRef
Ren, Z.Z.[Zhong-Zheng],
Agarwala, A.[Aseem],
Russell, B.[Bryan],
Schwing, A.G.[Alexander G.],
Wang, O.[Oliver],
Neural Volumetric Object Selection,
CVPR22(6123-6132)
IEEE DOI
2210
Image sensors, Image segmentation, Shape, Neural networks, Sensors,
3D from multi-view and sensors, 3D from single images,
grouping and shape analysis
BibRef
Niu, C.J.[Cheng-Jie],
Li, M.[Manyi],
Xu, K.[Kai],
Zhang, H.[Hao],
RIM-Net: Recursive Implicit Fields for Unsupervised Learning of
Hierarchical Shape Structures,
CVPR22(11769-11778)
IEEE DOI
2210
Training, Shape, Neural networks, Binary trees, Decoding, Segmentation,
grouping and shape analysis, 3D from single images, Vision+X
BibRef
Ye, X.Q.[Xiao-Qing],
Shu, M.[Mao],
Li, H.Y.[Han-Yu],
Shi, Y.F.[Yi-Feng],
Li, Y.Y.[Ying-Ying],
Wang, G.J.[Guang-Jie],
Tan, X.[Xiao],
Ding, E.[Errui],
Rope3D: The Roadside Perception Dataset for Autonomous Driving and
Monocular 3D Object Detection Task,
CVPR22(21309-21318)
IEEE DOI
2210
Measurement, Annotations, Roads, Object detection, Cameras,
Pattern recognition, Datasets and evaluation, 3D from single images
BibRef
Müller, N.[Norman],
Simonelli, A.[Andrea],
Porzi, L.[Lorenzo],
Bulò, S.R.[Samuel Rota],
Nießner, M.[Matthias],
Kontschieder, P.[Peter],
AutoRF: Learning 3D Object Radiance Fields from Single View
Observations,
CVPR22(3961-3970)
IEEE DOI
2210
Training, Solid modeling, Shape, Fitting, Object detection,
3D from single images, 3D from multi-view and sensors,
Vision + graphics
BibRef
Huang, K.C.[Kuan-Chih],
Wu, T.H.[Tsung-Han],
Su, H.T.[Hung-Ting],
Hsu, W.H.[Winston H.],
MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer,
CVPR22(4002-4011)
IEEE DOI
2210
Computational modeling, Object detection, Detectors, Transformers,
Encoding, 3D from single images,
Vision applications and systems
BibRef
Chen, H.S.[Han-Sheng],
Wang, P.[Pichao],
Wang, F.[Fan],
Tian, W.[Wei],
Xiong, L.[Lu],
Li, H.[Hao],
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points
for Monocular Object Pose Estimation,
CVPR22(2771-2780)
IEEE DOI
2210
Deep learning, Statistical analysis, Pose estimation,
Robot vision systems, Probabilistic logic, retrieval, Recognition: detection
BibRef
Li, Z.L.[Zhuo-Ling],
Qu, Z.[Zhan],
Zhou, Y.[Yang],
Liu, J.Z.[Jian-Zhuang],
Wang, H.Q.[Hao-Qian],
Jiang, L.H.[Li-Hui],
Diversity Matters: Fully Exploiting Depth Clues for Reliable
Monocular 3D Object Detection,
CVPR22(2781-2790)
IEEE DOI
2210
Visualization, Solid modeling, Image recognition, Navigation,
Estimation, Object detection, 3D from single images,
retrieval
BibRef
Lian, Q.[Qing],
Ye, B.T.[Bo-Tao],
Xu, R.J.[Rui-Jia],
Yao, W.L.[Wei-Long],
Zhang, T.[Tong],
Exploring Geometric Consistency for Monocular 3D Object Detection,
CVPR22(1675-1684)
IEEE DOI
2210
Training, Visualization, Perturbation methods, Estimation,
Object detection, 3D from single images, retrieval
BibRef
Zhang, Y.P.[Yun-Peng],
Zheng, W.Z.[Wen-Zhao],
Zhu, Z.[Zheng],
Huang, G.[Guan],
Du, D.L.[Da-Long],
Zhou, J.[Jie],
Lu, J.W.[Ji-Wen],
Dimension Embeddings for Monocular 3D Object Detection,
CVPR22(1579-1588)
IEEE DOI
2210
Deep learning, Image recognition, Costs, Shape, Neural networks,
3D from single images, Recognition: detection, categorization, retrieval
BibRef
Lian, Q.[Qing],
Li, P.L.[Pei-Liang],
Chen, X.Z.[Xiao-Zhi],
MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D
Object Detection,
CVPR22(1060-1069)
IEEE DOI
2210
Deep learning, Solid modeling, Costs, Image recognition, Semantics,
Neural networks, Recognition: detection, categorization, retrieval,
Pose estimation and tracking
BibRef
Gu, J.Q.[Jia-Qi],
Wu, B.J.[Bo-Jian],
Fan, L.[Lubin],
Huang, J.Q.[Jian-Qiang],
Cao, S.[Shen],
Xiang, Z.[Zhiyu],
Hua, X.S.[Xian-Sheng],
Homography Loss for Monocular 3D Object Detection,
CVPR22(1070-1079)
IEEE DOI
2210
Training, Location awareness, Object detection, Detectors,
Pattern recognition, Recognition: detection, categorization,
Navigation and autonomous driving
BibRef
Ma, J.[Jun],
Yu, C.Y.[Chu-Yue],
Xia, Y.W.[Yi-Wei],
Ren, X.H.[Xun-Huan],
Tsviatkou, V.Y.[Viktar Yurevich],
Boriskevich, A.A.[Anatoliy Antonovich],
Framework for Estimating Distance and Detecting Object on Mono-camera,
ISCV22(1-5)
IEEE DOI
2208
Industries, Laser radar, Estimation,
Object detection, Hazards, Sensors, autonomous driving,
KITTI
BibRef
Xiao, J.[Jiwei],
Wang, R.P.[Rui-Ping],
Chen, X.L.[Xi-Lin],
Holistic Pose Graph: Modeling Geometric Structure among Objects in a
Scene using Graph Inference for 3D Object Prediction,
ICCV21(12697-12706)
IEEE DOI
2203
Solid modeling, Image edge detection, Pose estimation, Layout,
Predictive models, 3D from a single image and shape-from-x,
Detection and localization in 2D and 3D
BibRef
Liu, F.[Feng],
Tran, L.[Luan],
Liu, X.M.[Xiao-Ming],
Fully Understanding Generic Objects: Modeling, Segmentation, and
Reconstruction,
CVPR21(7419-7429)
IEEE DOI
2111
Training, Solid modeling, Image segmentation, Shape, Fitting
BibRef
Park, D.[Dennis],
Ambrus, R.[Rares],
Guizilini, V.[Vitor],
Li, J.[Jie],
Gaidon, A.[Adrien],
Is Pseudo-Lidar needed for Monocular 3D Object detection?,
ICCV21(3122-3132)
IEEE DOI
2203
Training, Estimation, Detectors, Object detection, Manuals,
Benchmark testing, Detection and localization in 2D and 3D,
Vision for robotics and autonomous vehicles
BibRef
Julca-Aguilar, F.[Frank],
Taylor, J.[Jason],
Bijelic, M.[Mario],
Mannan, F.[Fahim],
Tseng, E.[Ethan],
Heide, F.[Felix],
Gated3D: Monocular 3D Object Detection From Temporal Illumination
Cues,
ICCV21(2918-2928)
IEEE DOI
2203
Image segmentation, Laser radar, Lighting, Object detection,
Logic gates, Feature extraction,
Vision for robotics and autonomous vehicles
BibRef
Lu, Y.[Yan],
Ma, X.Z.[Xin-Zhu],
Yang, L.[Lei],
Zhang, T.Z.[Tian-Zhu],
Liu, Y.T.[Ya-Ting],
Chu, Q.[Qi],
Yan, J.J.[Jun-Jie],
Ouyang, W.L.[Wan-Li],
Geometry Uncertainty Projection Network for Monocular 3D Object
Detection,
ICCV21(3091-3101)
IEEE DOI
2203
Training, Geometry, Solid modeling, Uncertainty,
Computational modeling, Object detection,
Vision applications and systems
BibRef
Simonelli, A.[Andrea],
Bulò, S.R.[Samuel Rota],
Porzi, L.[Lorenzo],
Kontschieder, P.[Peter],
Ricci, E.[Elisa],
Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D
Object Detection?,
ICCV21(3205-3213)
IEEE DOI
2203
Training, Estimation, Deep architecture, Object detection,
Benchmark testing, Detection and localization in 2D and 3D,
3D from a single image and shape-from-x
BibRef
Liu, Z.D.[Zong-Dai],
Zhou, D.F.[Ding-Fu],
Lu, F.X.[Fei-Xiang],
Fang, J.[Jin],
Zhang, L.J.[Liang-Jun],
AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection,
ICCV21(15621-15630)
IEEE DOI
2203
Deformable models, Deep learning, Solid modeling, Shape,
Neural networks, Pipelines,
Detection and localization in 2D and 3D
BibRef
Pavez, L.[Lukas],
Saavedra, J.M.[Jose M.],
NL-FCOS: Improving FCOS through Non-Local Modules for Object
Detection,
ICPR22(4651-4657)
IEEE DOI
2212
Representation learning, Visualization, Veins, Clothing,
Object detection, Visual systems, Transformers
BibRef
Wang, T.[Tai],
Zhu, X.G.[Xin-Ge],
Pang, J.M.[Jiang-Miao],
Lin, D.[Dahua],
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection,
3DODI21(913-922)
IEEE DOI
2112
Convolutional codes, Training, Costs,
Estimation, Object detection, Transforms
BibRef
Shi, X.P.[Xue-Peng],
Ye, Q.[Qi],
Chen, X.Z.[Xiao-Zhi],
Chen, C.R.[Chuang-Rong],
Chen, Z.X.[Zhi-Xiang],
Kim, T.K.[Tae-Kyun],
Geometry-based Distance Decomposition for Monocular 3D Object
Detection,
ICCV21(15152-15161)
IEEE DOI
2203
Training, Visualization, Uncertainty, Object detection,
Computer architecture, 3D from a single image and shape-from-x
BibRef
Zou, Z.K.[Zhi-Kang],
Ye, X.Q.[Xiao-Qing],
Du, L.[Liang],
Cheng, X.H.[Xian-Hui],
Tan, X.[Xiao],
Zhang, L.[Li],
Feng, J.F.[Jian-Feng],
Xue, X.Y.[Xiang-Yang],
Ding, E.[Errui],
The Devil is in the Task: Exploiting Reciprocal
Appearance-Localization Features for Monocular 3D Object Detection,
ICCV21(2693-2702)
IEEE DOI
2203
Training, Location awareness, Solid modeling, Costs,
Object detection, Detectors,
3D from a single image and shape-from-x
BibRef
Safadoust, S.[Sadra],
Güney, F.[Fatma],
Self-Supervised Monocular Scene Decomposition and Depth Estimation,
3DV21(627-636)
IEEE DOI
2201
Image segmentation, Motion segmentation, Estimation,
Object recognition, Matrix decomposition, motion segmentation
BibRef
Thai, A.[Anh],
Stojanov, S.[Stefan],
Upadhya, V.[Vijay],
Rehg, J.M.[James M.],
3D Reconstruction of Novel Object Shapes from Single Images,
3DV21(85-95)
IEEE DOI
2201
Training, Solid modeling, Visualization, Shape,
Computer architecture, Rendering (computer graphics)
BibRef
Heylen, J.[Jonas],
de Wolf, M.[Mark],
Dawagne, B.[Bruno],
Proesmans, M.[Marc],
Van Gool, L.J.[Luc J.],
Abbeloos, W.[Wim],
Abdelkawy, H.[Hazem],
Reino, D.O.[Daniel Olmeda],
MonoCInIS: Camera Independent Monocular 3D Object Detection using
Instance Segmentation,
3DODI21(923-934)
IEEE DOI
2112
Image segmentation,
Pose estimation, Training data, Object detection, Benchmark testing
BibRef
Yang, S.[Shuo],
Xu, M.[Min],
Xie, H.Z.[Hao-Zhe],
Perry, S.[Stuart],
Xia, J.H.[Jia-Hao],
Single-View 3D Object Reconstruction from Shape Priors in Memory,
CVPR21(3151-3160)
IEEE DOI
2111
Training, Visualization, Shape,
Transforms, Writing, Feature extraction
BibRef
Reading, C.[Cody],
Harakeh, A.[Ali],
Chae, J.[Julia],
Waslander, S.L.[Steven L.],
Categorical Depth Distribution Network for Monocular 3D Object
Detection,
CVPR21(8551-8560)
IEEE DOI
2111
Codes, Estimation,
Object detection, Distribution networks, Detectors
BibRef
Luo, S.[Shujie],
Dai, H.[Hang],
Shao, L.[Ling],
Ding, Y.[Yong],
M3DSSD: Monocular 3D Single Stage Object Detector,
CVPR21(6141-6150)
IEEE DOI
2111
Solid modeling, Shape,
Computational modeling, Object detection, Detectors
BibRef
Zhang, Y.P.[Yun-Peng],
Lu, J.W.[Ji-Wen],
Zhou, J.[Jie],
Objects are Different: Flexible Monocular 3D Object Detection,
CVPR21(3288-3297)
IEEE DOI
2111
Location awareness, Heating systems,
Image edge detection, Estimation, Object detection, Benchmark testing
BibRef
Ma, X.Z.[Xin-Zhu],
Zhang, Y.[Yinmin],
Xu, D.[Dan],
Zhou, D.Z.[Dong-Zhan],
Yi, S.[Shuai],
Li, H.J.[Hao-Jie],
Ouyang, W.L.[Wan-Li],
Delving into Localization Errors for Monocular 3D Object Detection,
CVPR21(4719-4728)
IEEE DOI
2111
Location awareness, Training,
Estimation, Object detection, Detectors
BibRef
Kumar, A.[Abhinav],
Brazil, G.[Garrick],
Liu, X.M.[Xiao-Ming],
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular
3D Object Detection,
CVPR21(8969-8979)
IEEE DOI
2111
Training, Closed-form solutions,
Pipelines, Object detection, Detectors, Benchmark testing
BibRef
Tang, Y.L.[Yun-Lei],
Dorn, S.[Sebastian],
Savani, C.[Chiragkumar],
Center3D: Center-Based Monocular 3D Object Detection with Joint Depth
Understanding,
GCPR20(289-302).
Springer DOI
2110
BibRef
Niu, Z.F.[Zhao-Feng],
Fujimoto, Y.[Yuichiro],
Kanbara, M.[Masayuki],
Kato, H.[Hirokazu],
HMA-Depth: A New Monocular Depth Estimation Model Using Hierarchical
Multi-Scale Attention,
MVA21(1-5)
DOI Link
2109
Semantics, Estimation,
Object segmentation, Network architecture, Task analysis
BibRef
Paschalidou, D.,
Van Gool, L.J.,
Geiger, A.,
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects
From a Single RGB Image,
CVPR20(1057-1067)
IEEE DOI
2008
Shape, Geometry, Image reconstruction,
Neural networks, Solid modeling
BibRef
Zhou, D.F.[Ding-Fu],
Song, X.B.[Xi-Bin],
Dai, Y.C.[Yu-Chao],
Yin, J.B.[Jun-Bo],
Lu, F.X.[Fei-Xiang],
Liao, M.[Miao],
Fang, J.[Jin],
Zhang, L.J.[Liang-Jun],
IAFA: Instance-Aware Feature Aggregation for 3d Object Detection from a
Single Image,
ACCV20(I:417-435).
Springer DOI
2103
BibRef
Cheng, C.C.[Chia-Chun],
Lai, S.H.[Shang-Hong],
3d Object Detection from Consecutive Monocular Images,
ACCV20(I:453-468).
Springer DOI
2103
BibRef
Wang, L.[Li],
Du, L.[Liang],
Ye, X.Q.[Xiao-Qing],
Fu, Y.W.[Yan-Wei],
Guo, G.D.[Guo-Dong],
Xue, X.Y.[Xiang-Yang],
Feng, J.F.[Jian-Feng],
Zhang, L.[Li],
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object
Detection,
CVPR21(454-463)
IEEE DOI
2111
Solid modeling, Image resolution,
Image coding, Object detection, Feature extraction, Information filters
BibRef
Ouyang, E.[Erli],
Zhang, L.[Li],
Chen, M.[Mohan],
Arnab, A.[Anurag],
Fu, Y.W.[Yan-Wei],
Dynamic Depth Fusion and Transformation for Monocular 3d Object
Detection,
ACCV20(I:349-364).
Springer DOI
2103
BibRef
Sun, S.C.[Shi-Chen],
Zhu, Z.B.[Zheng-Bang],
Dai, X.W.[Xiao-Wei],
Zhao, Q.J.[Qi-Jun],
Li, J.[Jing],
Weakly-supervised Reconstruction of 3d Objects with Large Shape
Variation from Single In-the-wild Images,
ACCV20(I:3-19).
Springer DOI
2103
BibRef
Simonelli, A.[Andrea],
Buló, S.R.[Samuel Rota],
Porzi, L.[Lorenzo],
Ricci, E.[Elisa],
Kontschieder, P.[Peter],
Towards Generalization Across Depth for Monocular 3d Object Detection,
ECCV20(XXII:767-782).
Springer DOI
2011
BibRef
Liu, L.J.[Li-Jie],
Wu, C.[Chufan],
Lu, J.W.[Ji-Wen],
Xie, L.X.[Ling-Xi],
Zhou, J.[Jie],
Tian, Q.[Qi],
Reinforced Axial Refinement Network for Monocular 3d Object Detection,
ECCV20(XVII:540-556).
Springer DOI
2011
BibRef
Ye, X.Q.[Xiao-Qing],
Du, L.[Liang],
Shi, Y.F.[Yi-Feng],
Li, Y.Y.[Ying-Ying],
Tan, X.[Xiao],
Feng, J.F.[Jian-Feng],
Ding, E.[Errui],
Wen, S.L.[Shi-Lei],
Monocular 3d Object Detection via Feature Domain Adaptation,
ECCV20(IX:17-34).
Springer DOI
2011
BibRef
Liu, Z.,
Wu, Z.,
Tóth, R.,
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint
Estimation,
AutoDrive20(4289-4298)
IEEE DOI
2008
Object detection, Proposals, Cameras, Feature extraction, Laser radar
BibRef
Chen, Y.,
Tai, L.,
Sun, K.,
Li, M.,
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial
Relationships,
CVPR20(12090-12099)
IEEE DOI
2008
Object detection, Uncertainty, Cameras, Feature extraction, Autonomous vehicles
BibRef
Ding, M.Y.[Ming-Yu],
Huo, Y.Q.[Yu-Qi],
Yi, H.W.[Hong-Wei],
Wang, Z.[Zhe],
Shi, J.P.[Jian-Ping],
Lu, Z.W.[Zhi-Wu],
Luo, P.[Ping],
Learning Depth-Guided Convolutions for Monocular 3D Object Detection,
CVPR20(11669-11678)
IEEE DOI
2008
BibRef
And:
AutoDrive20(4306-4315)
IEEE DOI
2008
Kernel,
Feature extraction, Object detection, Laser radar, Convolutional codes
BibRef
Nie, Y.,
Han, X.,
Guo, S.,
Zheng, Y.,
Chang, J.,
Zhang, J.J.,
Total3DUnderstanding: Joint Layout, Object Pose and Mesh
Reconstruction for Indoor Scenes From a Single Image,
CVPR20(52-61)
IEEE DOI
2008
Image reconstruction, Layout, Shape,
Cameras, Object detection, Topology
BibRef
Brazil, G.,
Liu, X.,
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection,
ICCV19(9286-9295)
IEEE DOI
2004
feature extraction, image colour analysis, object detection,
parameter estimation, stereo image processing, Laser radar
BibRef
Li, L.[Lin],
Khan, S.[Salman],
Barnes, N.M.[Nick M.],
Geometry to the Rescue: 3D Instance Reconstruction from a Cluttered
Scene,
L3DGM20(1098-1104)
IEEE DOI
2008
BibRef
Earlier:
Silhouette-Assisted 3D Object Instance Reconstruction from a
Cluttered Scene,
3D-Wild19(2080-2088)
IEEE DOI
2004
Surface reconstruction, Shape,
Estimation, Image reconstruction, Training.
image colour analysis, object detection,
shape recognition, perspective projection
BibRef
Yan, D.,
Morimitsu, H.,
Gao, S.,
Ji, X.,
Monocular Piecewise Depth Estimation in Dynamic Scenes by Exploiting
Superpixel Relations,
ICCV19(4362-4371)
IEEE DOI
2004
image matching, image motion analysis, image reconstruction,
image segmentation, image sequences, object detection,
BibRef
Simonelli, A.,
Bulò, S.R.,
Porzi, L.,
Lopez-Antequera, M.,
Kontschieder, P.,
Disentangling Monocular 3D Object Detection,
ICCV19(1991-1999)
IEEE DOI
2004
image colour analysis, interpolation,
learning (artificial intelligence), object detection,
Laser radar
BibRef
Zhu, J.,
Fang, Y.,
Learning Object-Specific Distance From a Monocular Image,
ICCV19(3838-3847)
IEEE DOI
2004
learning (artificial intelligence),
object detection, inverse perspective mapping algorithm,
Training
BibRef
Dhamo, H.,
Navab, N.,
Tombari, F.,
Object-Driven Multi-Layer Scene Decomposition From a Single Image,
ICCV19(5368-5377)
IEEE DOI
2004
image colour analysis, image reconstruction,
image representation, image resolution, Image color analysis
BibRef
Ku, J.[Jason],
Pon, A.D.[Alex D.],
Waslander, S.L.[Steven L.],
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape
Reconstruction,
CVPR19(11859-11868).
IEEE DOI
2002
BibRef
Hu, J.J.[Jun-Jie],
Zhang, Y.[Yan],
Okatani, T.[Takayuki],
Visualization of Convolutional Neural Networks for Monocular Depth
Estimation,
ICCV19(3868-3877)
IEEE DOI
2004
convolutional neural nets, feature extraction,
object detection, convolutional neural networks,
Convolutional neural networks
BibRef
Chang, J.,
Wetzstein, G.,
Deep Optics for Monocular Depth Estimation and 3D Object Detection,
ICCV19(10192-10201)
IEEE DOI
2004
image capture, image coding, neural nets, object detection,
optimisation, stereo image processing, deep optics, Object detection
BibRef
Liu, L.J.[Li-Jie],
Lu, J.W.[Ji-Wen],
Xu, C.J.[Chun-Jing],
Tian, Q.[Qi],
Zhou, J.[Jie],
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection,
CVPR19(1057-1066).
IEEE DOI
2002
BibRef
Hsieh, Y.,
Lin, W.,
Li, D.,
Chuang, J.,
Deep Learning-Based Obstacle Detection and Depth Estimation,
ICIP19(1635-1639)
IEEE DOI
1910
Deep learning, YOLOv3, object detection, depth prediction, KITTI dataset
BibRef
Nguyen-Phuoc, T.,
Li, C.,
Theis, L.,
Richardt, C.,
Yang, Y.,
HoloGAN: Unsupervised Learning of 3D Representations From Natural
Images,
ICCV19(7587-7596)
IEEE DOI
2004
BibRef
And:
NeruArch19(2037-2040)
IEEE DOI
2004
Shape, Training, Solid modeling, Generators, GAN
feature extraction, image sequences, object detection,
object tracking, pose estimation, rendering (computer graphics),
Generative adversarial networks
BibRef
Xu, B.[Bin],
Chen, Z.Z.[Zhen-Zhong],
Multi-Level Fusion Based 3D Object Detection from Monocular Images,
CVPR18(2345-2353)
IEEE DOI
1812
Object detection, Proposals, Detectors, Feature extraction, Estimation
BibRef
de la Garanderie, G.P.[Grégoire Payen],
Abarghouei, A.A.[Amir Atapour],
Breckon, T.P.[Toby P.],
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular
Depth Estimation to 360° Panoramic Imagery,
ECCV18(XIII: 812-830).
Springer DOI
1810
BibRef
Romaszko, L.,
Williams, C.K.I.,
Moreno, P.,
Kohli, P.,
Vision-as-Inverse-Graphics:
Obtaining a Rich 3D Explanation of a Scene from a Single Image,
DeepLearn-G17(940-948)
IEEE DOI
1802
Cameras, Detectors, Graphics, Lighting, Object detection,
Probabilistic logic, Transforms
BibRef
Li, X.,
Jie, Z.,
Wang, W.,
Liu, C.,
Yang, J.,
Shen, X.,
Lin, Z.,
Chen, Q.,
Yan, S.,
Feng, J.,
FoveaNet: Perspective-Aware Urban Scene Parsing,
ICCV17(784-792)
IEEE DOI
1802
geometry, image recognition, neural nets, object detection,
object recognition, FoveaNet model,
BibRef
Zhu, R.[Rui],
Galoogahi, H.K.[Hamed Kiani],
Wang, C.Y.[Chao-Yang],
Lucey, S.[Simon],
Rethinking Reprojection:
Closing the Loop for Pose-Aware Shape Reconstruction from a Single Image,
ICCV17(57-65)
IEEE DOI
1802
image classification, image reconstruction,
learning (artificial intelligence), object detection,
BibRef
Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Depth Ordering, Single View 3D Reconstruction .