Tweed, D.S.,
Calway, A.D.,
Integrated Segmentation and Depth Ordering of Motion Layers in Image
Sequences,
IVC(20), No. 9-10, August 2002, pp. 709-723.
Elsevier DOI
0208
BibRef
Earlier:
BMVC00(xx-yy).
PDF File.
0009
BibRef
And:
Moving Object Graphs and Layer Extraction from Image Sequences,
BMVC01(Poster Session 1. ).
HTML Version. University of Bristol
0110
BibRef
Benois-Pineau, J.[Jenny],
Nicolas, H.[Henri],
A New Method for Region-Based Depth Ordering in a Video Sequence:
Application to Frame Interpolation,
JVCIR(13), No. 3, September 2002, pp. 363-385.
DOI Link
0208
BibRef
Feldman, D.[Doron],
Weinshall, D.[Daphna],
Motion Segmentation and Depth Ordering Using an Occlusion Detector,
PAMI(30), No. 7, July 2008, pp. 1171-1185.
IEEE DOI
0806
BibRef
Earlier:
Motion Segmentation Using an Occlusion Detector,
WDV06(34-47).
Springer DOI
0705
BibRef
Palou, G.[Guillem],
Salembier, P.[Philippe],
Monocular Depth Ordering Using T-Junctions and Convexity Occlusion Cues,
IP(22), No. 5, May 2013, pp. 1926-1939.
IEEE DOI
1303
BibRef
Earlier:
2.1 Depth Estimation of Frames in Image Sequences Using Motion
Occlusions,
QU3ST12(III: 516-525).
Springer DOI
1210
BibRef
Palou, G.[Guillem],
Salembier, P.[Philippe],
Depth order estimation for video frames using motion occlusions,
IET-CV(8), No. 2, April 2014, pp. 152-160.
DOI Link
1407
BibRef
Earlier:
Depth ordering on image sequences using motion occlusions,
ICIP12(1217-1220).
IEEE DOI
1302
image motion analysis
BibRef
Palou, G.[Guillem],
Salembier, P.[Philippe],
Hierarchical Video Representation with Trajectory Binary Partition
Tree,
CVPR13(2099-2106)
IEEE DOI
1309
BibRef
Morel, J.M.[Jean-Michel],
Salembier, P.[Philippe],
Monocular Depth by Nonlinear Diffusion,
ICCVGIP08(95-102).
IEEE DOI
0812
Line junctions, local convexity.
BibRef
Amer, M.R.[Mohamed R.],
Yousefi, S.[Siavash],
Raich, R.[Raviv],
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Monocular Extraction of 2.1D Sketch Using Constrained Convex
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IJCV(112), No. 1, March 2015, pp. 23-42.
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1503
Depth ordering.
BibRef
Ming, A.,
Wu, T.,
Ma, J.,
Sun, F.,
Zhou, Y.,
Monocular Depth-Ordering Reasoning with Occlusion Edge Detection and
Couple Layers Inference,
IEEE_Int_Sys(31), No. 2, March 2016, pp. 54-65.
IEEE DOI
1604
Feature extraction
BibRef
Wu, K.W.[Ke-Wei],
Gao, Y.[Yang],
Ma, H.L.[Hai-Long],
Sun, Y.X.[Yong-Xuan],
Yao, T.T.[Ting-Ting],
Xie, Z.[Zhao],
A deep generative directed network for scene depth ordering,
JVCIR(58), 2019, pp. 554-564.
Elsevier DOI
1901
Deep generative directed-network, Depth ordering,
Hidden Markov field, DenseNet
See also Densely Connected Convolutional Networks.
BibRef
Mao, J.F.[Jia-Fa],
Huang, W.[Wei],
Sheng, W.G.[Wei-Guo],
Target distance measurement method using monocular vision,
IET-IPR(14), No. 13, November 2020, pp. 3181-3187.
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2012
BibRef
Karatsiolis, S.[Savvas],
Kamilaris, A.[Andreas],
Cole, I.[Ian],
IMG2nDSM: Height Estimation from Single Airborne RGB Images with Deep
Learning,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Zhang, Y.F.[Yu-Feng],
Ding, L.H.[Liang-Hui],
Li, Y.X.[Yu-Xi],
Lin, W.Y.[Wei-Yao],
Zhao, M.B.[Ming-Bi],
Yu, X.Y.[Xiao-Yuan],
Zhan, Y.L.[Yun-Long],
A regional distance regression network for monocular object distance
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JVCIR(79), 2021, pp. 103224.
Elsevier DOI
2109
Monocular distance estimation, Object detection,
Deep neural network, Surveillance
BibRef
Lee, J.H.[Jae-Han],
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JVCIR(84), 2022, pp. 103459.
Elsevier DOI
2204
Monocular depth estimation, Relative depth, 3D analysis
BibRef
Li, Y.[Yang],
Tu, Y.C.[Yu-Cheng],
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Zhao, H.[Hao],
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IP(31), 2022, pp. 5661-5676.
IEEE DOI
2209
Task analysis, Transformers, Decoding, Legged locomotion,
Visualization, Feature extraction, Semantics, Focused attention,
visualizations of attention weights
BibRef
She, Y.T.[Yu-Tong],
Li, P.[Peng],
Wei, M.Q.[Ming-Qiang],
Liang, D.[Dong],
Chen, Y.P.[Yi-Ping],
Xie, H.R.[Hao-Ran],
Wang, F.L.[Fu Lee],
eViTBins: Edge-Enhanced Vision-Transformer Bins for Monocular Depth
Estimation on Edge Devices,
ITS(25), No. 12, December 2024, pp. 20320-20334.
IEEE DOI
2412
Image edge detection, Accuracy, Transformers, Real-time systems,
Autonomous aerial vehicles, Transportation, Navigation,
traffic monitoring
BibRef
Hu, D.T.[Dong-Ting],
Peng, L.[Liuhua],
Chu, T.J.[Ting-Jin],
Zhang, X.X.[Xiao-Xing],
Mao, Y.I.[Yin-Ian],
Bondell, H.[Howard],
Gong, M.M.[Ming-Ming],
Uncertainty Quantification in Depth Estimation via Constrained Ordinal
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ECCV22(II:237-256).
Springer DOI
2211
WWW Link.
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Xu, X.Y.[Xiao-Yu],
Qiu, J.Y.[Jia-Yan],
Wang, X.C.[Xin-Chao],
Wang, Z.[Zhou],
Relationship Spatialization for Depth Estimation,
ECCV22(XXXVII:615-637).
Springer DOI
2211
BibRef
Lee, H.[Hyunmin],
Park, J.[Jaesik],
Instance-wise Occlusion and Depth Orders in Natural Scenes,
CVPR22(21178-21189)
IEEE DOI
2210
Annotations, Cameras, Datasets and evaluation,
3D from single images, Scene analysis and understanding
BibRef
Kim, S.Y.[Soo Ye],
Zhang, J.M.[Jian-Ming],
Niklaus, S.[Simon],
Fan, Y.F.[Yi-Fei],
Chen, S.[Simon],
Lin, Z.[Zhe],
Kim, M.C.[Mun-Churl],
Layered Depth Refinement with Mask Guidance,
CVPR22(3845-3855)
IEEE DOI
2210
Image segmentation, Refining, Estimation, Self-supervised learning,
Predictive models, 3D from single images, Low-level vision
BibRef
Feng, P.[Panhe],
She, Q.[Qi],
Zhu, L.[Lei],
Li, J.X.[Jia-Xin],
Zhang, L.[Lin],
Feng, Z.J.[Zi-Jian],
Wang, C.H.[Chang-Hu],
Li, C.P.[Chun-Peng],
Kang, X.J.[Xue-Jing],
Ming, A.[Anlong],
MT-ORL: Multi-Task Occlusion Relationship Learning,
ICCV21(9344-9353)
IEEE DOI
2203
Couplings, Codes, Feature extraction,
Multitasking, Decoding, Vision applications and systems
BibRef
Fei, X.H.[Xiao-Han],
Wang, H.[Henry],
Cheong, L.L.[Lin Lee],
Zeng, X.Y.[Xiang-Yu],
Wang, M.[Meng],
Tighe, J.[Joseph],
Single View Physical Distance Estimation using Human Pose,
ICCV21(12386-12396)
IEEE DOI
2203
System performance, Estimation, Cameras, Social factors,
Sensor systems, Production facilities, Calibration,
Vision for robotics and autonomous vehicles
BibRef
Bhattacharjee, D.[Deblina],
Everaert, M.[Martin],
Salzmann, M.[Mathieu],
Süsstrunk, S.[Sabine],
Estimating Image Depth in the Comics Domain,
WACV22(1111-1120)
IEEE DOI
2202
Laplace equations, Annotations, Semantics,
Benchmark testing, Animation, Noise measurement,
Semi- and Un- supervised Learning
BibRef
Bhat, S.F.[Shariq Farooq],
Alhashim, I.[Ibraheem],
Wonka, P.[Peter],
AdaBins: Depth Estimation Using Adaptive Bins,
CVPR21(4008-4017)
IEEE DOI
2111
Measurement, Image segmentation,
Image resolution, Estimation, Transformers
BibRef
Zhang, C.[Cheng],
Cui, Z.P.[Zhao-Peng],
Zhang, Y.[Yinda],
Zeng, B.[Bing],
Pollefeys, M.[Marc],
Liu, S.C.[Shuai-Cheng],
Holistic 3D Scene Understanding from a Single Image with Implicit
Representation,
CVPR21(8829-8838)
IEEE DOI
2111
Solid modeling, Shape, Layout, Pipelines,
Estimation, Object detection
BibRef
Mertan, A.,
Sahin, Y.H.,
Duff, D.J.,
Unal, G.,
A New Distributional Ranking Loss With Uncertainty:
Illustrated in Relative Depth Estimation,
3DV20(1079-1088)
IEEE DOI
2102
Estimation, Uncertainty, Mathematical model, Task analysis,
Neural networks, Training, Standards
BibRef
Lee, J.H.[Jae-Han],
Kim, C.S.[Chang-Su],
Multi-loss Rebalancing Algorithm for Monocular Depth Estimation,
ECCV20(XVII:785-801).
Springer DOI
2011
BibRef
Nishimura, M.[Mark],
Lindell, D.B.[David B.],
Metzler, C.[Christopher],
Wetzstein, G.[Gordon],
Disambiguating Monocular Depth Estimation with a Single Transient,
ECCV20(XXI:139-155).
Springer DOI
2011
BibRef
Klokov, R.[Roman],
Boyer, E.[Edmond],
Verbeek, J.[Jakob],
Discrete Point Flow Networks for Efficient Point Cloud Generation,
ECCV20(XXIII:694-710).
Springer DOI
2011
Generate the point cloud.
BibRef
Popov, S.[Stefan],
Bauszat, P.[Pablo],
Ferrari, V.[Vittorio],
Corenet: Coherent 3d Scene Reconstruction from a Single RGB Image,
ECCV20(II:366-383).
Springer DOI
2011
BibRef
Watson, J.[Jamie],
Aodha, O.M.[Oisin Mac],
Turmukhambetov, D.[Daniyar],
Brostow, G.J.[Gabriel J.],
Firman, M.[Michael],
Learning Stereo from Single Images,
ECCV20(I:722-740).
Springer DOI
2011
BibRef
Ramamonjisoa, M.,
Lepetit, V.,
SharpNet: Fast and Accurate Recovery of Occluding Contours in
Monocular Depth Estimation,
3D-Wild19(2109-2118)
IEEE DOI
2004
augmented reality, cameras, image colour analysis,
image reconstruction, object recognition,
Surface Normal Estimation
BibRef
Zhou, Y.,
Ma, J.,
Ming, A.,
Bai, X.,
Learning Training Samples for Occlusion Edge Detection and Its
Application in Depth Ordering Inference,
ICPR18(541-546)
IEEE DOI
1812
Training, Image edge detection, Optimization, Logistics,
Task analysis, Frequency modulation, Encoding
BibRef
Zhang, Z.Y.[Zi-Yu],
Schwing, A.G.[Alexander G.],
Fidler, S.[Sanja],
Urtasun, R.[Raquel],
Monocular Object Instance Segmentation and Depth Ordering with CNNs,
ICCV15(2614-2622)
IEEE DOI
1602
Automobiles
BibRef
Visa, G.P.[Guillem Palou],
Salembier, P.[Philippe],
Precision-Recall-Classification Evaluation Framework:
Application to Depth Estimation on Single Images,
ECCV14(I: 648-662).
Springer DOI
1408
depth ordering on single images. Segment then order.
BibRef
Ming, A.[Anlong],
Xun, B.F.[Bao-Feng],
Ni, J.[Jia],
Gao, M.F.[Ming-Fei],
Zhou, Y.[Yu],
Learning discriminative occlusion feature for depth ordering
inference on monocular image,
ICIP15(2525-2529)
IEEE DOI
1512
depth order inference; feature selection; occlusion edge
BibRef
Kowdle, A.[Adarsh],
Gallagher, A.C.[Andrew C.],
Chen, T.H.[Tsu-Han],
Revisiting Depth Layers from Occlusions,
CVPR13(2091-2098)
IEEE DOI
1309
Image-based modeling; scene understanding; segmentation.
Moving object in scene gives pairwise depth ordering. Integrate over time.
BibRef
Turetken, E.[Engin],
Alatan, A.A.[A. Aydin],
Temporally consistent layer depth ordering via pixel voting for pseudo
3D representation,
3DTV09(1-4).
IEEE DOI
0905
BibRef
Malik, J.,
Visual grouping and object recognition,
CIAP01(612-621).
IEEE DOI
0210
BibRef
Yu, S.X.[Stella X.],
Zhang, H.[Hao],
Malik, J.[Jitendra],
Inferring spatial layout from a single image via depth-ordered grouping,
Tensor08(1-7).
IEEE DOI
0806
BibRef
Yu, S.X.[Stella X.],
Segmentation Induced by Scale Invariance,
CVPR05(I: 444-451).
IEEE DOI
0507
BibRef
Earlier:
Segmentation using multiscale cues,
CVPR04(I: 247-254).
IEEE DOI
0408
handle texture and contours through scales.
BibRef
Yu, S.X.[Stella X.], and
Shi, J.B.[Jian-Bo],
Understanding Popout through Repulsion,
CVPR01(II:752-757).
IEEE DOI
0110
BibRef
And:
Understanding Popout: Pre-attentive Segmentation through Nondirectional
Repulsion,
CMU-RI-TR-01-20, July, 2001.
PDF File.
0205
BibRef
And:
Perceiving Shapes through Region and Boundary Interaction,
CMU-RI-TR-01-21, July, 2001.
PDF File.
0205
BibRef
Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Three-Dimensional Reconstruction from Different Views .