9.8.1.3 Monocular 3D Object Detection

Chapter Contents (Back)
Single View. Object Detection. Monocular Depth.

Ren, X.Y.[Xiao-Yuan], Jiang, L.B.[Li-Bing], Tang, X.A.[Xiao-An], Zhang, J.[Junda],
Single-Image 3D Pose Estimation for Texture-Less Object via Symmetric Prior,
IEICE(E101-D), No. 7, July 2018, pp. 1972-1975.
WWW Link. 1807
BibRef

Bao, W., Xu, B., Chen, Z.,
MonoFENet: Monocular 3D Object Detection With Feature Enhancement Networks,
IP(29), 2020, pp. 2753-2765.
IEEE DOI 2001
3D object detection, monocular images, feature enhancement, neural networks, autonomous driving BibRef

Xie, H.Z.[Hao-Zhe], Yao, H.X.[Hong-Xun], Zhang, S.P.[Sheng-Ping], Zhou, S.C.[Shang-Chen], Sun, W.X.[Wen-Xiu],
Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images,
IJCV(128), No. 12, December 2020, pp. 2919-2935.
Springer DOI 2010
RNN for shape recovery. BibRef

Su, Y.T.[Yu-Ting], Li, Y.Q.[Yu-Qian], Nie, W.Z.[Wei-Zhi], Song, D.[Dan], Liu, A.A.[An-An],
Joint Heterogeneous Feature Learning and Distribution Alignment for 2D Image-Based 3D Object Retrieval,
CirSysVideo(30), No. 10, October 2020, pp. 3765-3776.
IEEE DOI 2010
Feature extraction, Visualization, Task analysis, Solid modeling, distribution alignment BibRef

Turhan, C.G.[Ceren Guzel], Bilge, H.S.[Hasan Sakir],
Class-aware single image to 3D object translational autoencoder,
IET-IPR(14), No. 13, November 2020, pp. 3046-3053.
DOI Link 2012
BibRef

Li, S.[Shuai], Shi, J.Y.[Jia-Ying], Song, W.F.[Wen-Feng], Hao, A.[Aimin], Qin, H.[Hong],
Hierarchical Object Relationship Constrained Monocular Depth Estimation.,
PR(120), 2021, pp. 108116.
Elsevier DOI 2109
Monocular Depth Estimation, Semantic Constraints, Hierarchical Object Relationship, Global and Local Context BibRef

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], Liu, H.P.[Hua-Ping], Wang, Y.K.[Yi-Kai], Sun, F.C.[Fu-Chun], Huang, W.B.[Wen-Bing],
Fine-Grained Multilevel Fusion for Anti-Occlusion Monocular 3D Object Detection,
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 BibRef

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 BibRef

Zhou, Y.S.[Yun-Song], He, Y.[Yuan], Zhu, H.Z.[Hong-Zi], Wang, C.[Cheng], Li, H.Y.[Hong-Yang], Jiang, Q.H.[Qin-Hong],
MonoEF: Extrinsic Parameter Free Monocular 3D Object Detection,
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.[Yuan-Zhouhan], Zhang, H.[Hui], Li, Y.D.[Yi-Dong], Ren, C.[Chao], Lang, C.[Congyan],
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


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.[Zhenbo], 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.[Zhongang], 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.[Ruijia], 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

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.[Yating], 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

Zhou, D.F.[Ding-Fu], Song, X.[Xibin], Dai, Y.C.[Yu-Chao], Yin, J.[Junbo], 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.[Nick],
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 .


Last update:Jan 23, 2023 at 16:42:47