Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:23:52.607535Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:1908.01238.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:23:52.607535Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
62 of 62 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 915527b3-666c-456f-91b2-46fc1bcf791a · outbound
Learning Guided Convolutional Network for Depth Completion Stereo processing by semiglobal matching and mu- tual information,
Reference 1
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Observation b7de49f3-fe82-4212-b77c-f64dcb8dac76 · outbound
Learning Guided Convolutional Network for Depth Completion Evaluation of stereo matching costs on images with radiometric differences,
Reference 2
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Learning Guided Convolutional Network for Depth Completion Computing the stereo matching cost with a convolutional neural network,
Reference 3
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Observation b83ecb91-a3c9-4d37-93d9-369be0bcd2d1 · outbound
Learning Guided Convolutional Network for Depth Completion Efficient deep learning for stereo matching,
Reference 4
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Observation a7232346-85da-4d9a-8c80-a3fd890bffdf · outbound
Learning Guided Convolutional Network for Depth Completion Sparsity invariant cnns,
Reference 5
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Learning Guided Convolutional Network for Depth Completion DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image
Reference 6
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Learning Guided Convolutional Network for Depth Completion Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera
Reference 7
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Observation 3adc76fd-2102-42a1-9a48-36605f0a93c2 · outbound
Learning Guided Convolutional Network for Depth Completion Dense disparity maps from sparse disparity measurements,
Reference 8
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Learning Guided Convolutional Network for Depth Completion Depth reconstruction from sparse samples: Representation, algorithm, and sampling,
Reference 9
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Observation 4abec412-19da-4206-84ef-2f7ded7517d3 · outbound
Learning Guided Convolutional Network for Depth Completion In defense of classical image processing: Fast depth completion on the cpu,
Reference 10
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Observation c27fd6bf-a3ff-4fad-a0ba-124b55adeec1 · outbound
Learning Guided Convolutional Network for Depth Completion Sparse and dense data with cnns: Depth completion and semantic segmentation,
Reference 11
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Learning Guided Convolutional Network for Depth Completion Deep residual learning for image recognition,
Reference 12
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Learning Guided Convolutional Network for Depth Completion Guided image filtering,
Reference 13
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Learning Guided Convolutional Network for Depth Completion Bilateral filtering for gray and color images
Reference 14
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Observation 9ff781fe-803a-4e61-9645-f678155745ea · outbound
Learning Guided Convolutional Network for Depth Completion Joint bilateral upsampling,
Reference 15
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Observation f8431d10-b5bd-4f9a-b792-5efe1cabf4ac · outbound
Learning Guided Convolutional Network for Depth Completion Spatial-depth super reso- lution for range images,
Reference 16
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Observation 1a25452a-c748-4fbf-8631-ce25521e9e0d · outbound
Learning Guided Convolutional Network for Depth Completion Joint geodesic upsampling of depth images,
Reference 17
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Observation 24a06c54-eeb4-4538-87c2-8603df1a967c · outbound
Learning Guided Convolutional Network for Depth Completion MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Reference 18
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Observation 9d471a92-299a-43c1-a220-abe29b22fa1d · outbound
Learning Guided Convolutional Network for Depth Completion Propagating confidences through cnns for sparse data regression,
Reference 19
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Observation 742755c1-7f98-48b2-b6a1-3d3c466cacca · outbound
Learning Guided Convolutional Network for Depth Completion Deep convolutional compressed sensing for lidar depth completion,
Reference 20
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Observation 653602c8-d2cd-495e-9e3d-22e286e45459 · outbound
Learning Guided Convolutional Network for Depth Completion Patch based synthesis for single depth image super-resolution,
Reference 21
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Observation a1cd1980-30ba-4e36-9b3e-e86f92277ab0 · outbound
Learning Guided Convolutional Network for Depth Completion Depth super resolution by rigid body self-similarity in 3d,
Reference 22
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Observation 0586b8f0-db34-4e1a-b5da-b38d4c581c73 · outbound
Learning Guided Convolutional Network for Depth Completion Variational depth superresolu- tion using example-based edge representations,
Reference 23
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Observation f5a4fac0-48e5-4347-a779-4e349dafa65d · outbound
Learning Guided Convolutional Network for Depth Completion Joint super resolution and denoising from a single depth image,
Reference 24
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Observation 696c8458-c623-4e79-8b43-2952bf4541a3 · outbound
Learning Guided Convolutional Network for Depth Completion Atgv-net: Accurate depth super- resolution,
Reference 25
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Observation 372f4981-3ae1-43ee-aca8-fc0d6f9149de · outbound
Learning Guided Convolutional Network for Depth Completion High quality depth map upsampling for 3d-tof cameras,
Reference 26
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Observation e4bd63f3-8cc0-493b-a93f-4b513455fc1b · outbound
Learning Guided Convolutional Network for Depth Completion High- quality depth map upsampling and completion for rgb-d cameras,
Reference 27
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Observation c74f7b81-e9c2-4f5c-ad95-52fa7fc2f605 · outbound
Learning Guided Convolutional Network for Depth Completion Image guided depth upsampling using anisotropic total generalized variation,
Reference 28
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Observation 4bcac17b-5017-48b7-b1c3-4145aa62e95f · outbound
Learning Guided Convolutional Network for Depth Completion Semantically guided depth upsampling,
Reference 29
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Observation 209d5036-c6bb-4d5f-b8d8-5d99dc65ec2b · outbound
Learning Guided Convolutional Network for Depth Completion Edge-guided single depth image su- per resolution,
Reference 30
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Observation b37452bc-4686-4c3c-819f-4b837f156d25 · outbound
Learning Guided Convolutional Network for Depth Completion Deep depth completion of a single rgb-d image,
Reference 31
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Observation 20d00066-ebf8-43af-9290-eff1ece71212 · outbound
Learning Guided Convolutional Network for Depth Completion HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion
Reference 32
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Observation be56916a-112c-4520-b445-417e040ba589 · outbound
Learning Guided Convolutional Network for Depth Completion Confidence Propagation through CNNs for Guided Sparse Depth Regression
Reference 33
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Observation 958a3352-dd4e-43a2-b5d1-81c16afe1768 · outbound
Learning Guided Convolutional Network for Depth Completion Sparse and noisy LiDAR completion with RGB guidance and uncertainty
Reference 34
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Observation 4fba5eb2-23ae-46cc-9f60-6f4ea292122e · outbound
Learning Guided Convolutional Network for Depth Completion Depth estimation via affinity learned with convolutional spatial propagation network,
Reference 35
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Learning Guided Convolutional Network for Depth Completion Cross- field joint image restoration via scale map,
Reference 36
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Observation d7916a28-0f2e-403c-9907-518cd6795b54 · outbound
Learning Guided Convolutional Network for Depth Completion Rolling guidance filter,
Reference 37
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Observation dde38783-b3e5-47f6-a107-83290e5c310b · outbound
Learning Guided Convolutional Network for Depth Completion Mutual-structure for joint filtering,
Reference 38
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Observation d963e593-2bb6-456d-9b6e-5e786d1abf04 · outbound
Learning Guided Convolutional Network for Depth Completion Robust image filtering using joint static and dynamic guidance,
Reference 39
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Learning Guided Convolutional Network for Depth Completion Deep joint image filter- ing,
Reference 40
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Learning Guided Convolutional Network for Depth Completion Deep bilateral learning for real-time image enhancement,
Reference 41
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Observation c7b0c89e-ec8a-4751-b696-7be37e01069f · outbound
Learning Guided Convolutional Network for Depth Completion Depth completion with deep geometry and context guidance,
Reference 42
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Reference 43
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Reference 44
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Reference 45
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Reference 46
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Observation 5ac043f3-e55a-4b73-bd20-1253d937f783 · outbound
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Reference 47
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Reference 48
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Observation 29bf728a-471d-4c84-bb81-ffaee9d46940 · outbound
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Reference 49
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Observation cb0409e0-f0df-4496-9375-795dcda20349 · outbound
Learning Guided Convolutional Network for Depth Completion Adam: A Method for Stochastic Optimization
Reference 50
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Learning Guided Convolutional Network for Depth Completion Batch normalization: Accelerating deep network training by reducing internal covariate shift,
Reference 51
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Learning Guided Convolutional Network for Depth Completion Context encoding for semantic segmentation,
Reference 52
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Observation ce08f7fb-325c-4eb3-a419-480ed035eb7b · outbound
Learning Guided Convolutional Network for Depth Completion Virtual worlds as proxy for multi-object tracking analysis,
Reference 53
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Learning Guided Convolutional Network for Depth Completion Sparse-to-dense: Depth prediction from sparse depth samples and a single image,
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Learning Guided Convolutional Network for Depth Completion Dense Depth Posterior (DDP) from Single Image and Sparse Range
Reference 55
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Reference 56
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Learning Guided Convolutional Network for Depth Completion Indoor segmentation and support inference from rgbd images,
Reference 57
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Learning Guided Convolutional Network for Depth Completion Colorization using optimization,
Reference 58
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Learning Guided Convolutional Network for Depth Completion Sun rgb-d: A rgb-d scene understanding benchmark suite,
Reference 59
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Learning Guided Convolutional Network for Depth Completion A category-level 3d object dataset: Putting the kinect to work,
Reference 60
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Learning Guided Convolutional Network for Depth Completion Sun3d: A database of big spaces reconstructed using sfm and object labels,
Reference 61
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Learning Guided Convolutional Network for Depth Completion Object enhancement and extraction,
Reference 62
Source-reported events for the cited work
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No inbound Pith citation observations are available.