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Paper Citation Record · LEDGER

Learning Guided Convolutional Network for Depth Completion

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.

pith.paper-citation-record.v1
1908.01238 v1

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measured 62 of 62 reference resolution

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measured 62 of 62 standing notices

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

62 of 62 outbound references displayed

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External citation measurements

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Outbound references

Observation 915527b3-666c-456f-91b2-46fc1bcf791a · outbound

This paper cites Stereo processing by semiglobal matching and mu- tual information,.

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

This paper cites Evaluation of stereo matching costs on images with radiometric differences,.

Learning Guided Convolutional Network for Depth Completion Evaluation of stereo matching costs on images with radiometric differences,

Reference 2

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Observation 29b470e7-04ae-4af3-9893-0f8a9003ce19 · outbound

This paper cites Computing the stereo matching cost with a convolutional neural network,.

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

This paper cites Efficient deep learning for stereo matching,.

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

This paper cites Sparsity invariant cnns,.

Learning Guided Convolutional Network for Depth Completion Sparsity invariant cnns,

Reference 5

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Observation 67f48686-10b0-4279-967b-5694dfbd26b6 · outbound

This paper cites DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image.

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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Observation c47e54e6-721e-4ced-b8dd-82cd3d1c5cef · outbound

This paper cites Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera.

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

This paper cites Dense disparity maps from sparse disparity measurements,.

Learning Guided Convolutional Network for Depth Completion Dense disparity maps from sparse disparity measurements,

Reference 8

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Observation 4731601b-ee6d-40ef-b1fa-38632f35908b · outbound

This paper cites Depth reconstruction from sparse samples: Representation, algorithm, and sampling,.

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

This paper cites In defense of classical image processing: Fast depth completion on the cpu,.

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

This paper cites Sparse and dense data with cnns: Depth completion and semantic segmentation,.

Learning Guided Convolutional Network for Depth Completion Sparse and dense data with cnns: Depth completion and semantic segmentation,

Reference 11

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Observation c237feba-4f9e-4375-9d64-36797aea798f · outbound

This paper cites Deep residual learning for image recognition,.

Learning Guided Convolutional Network for Depth Completion Deep residual learning for image recognition,

Reference 12

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Observation 775588d1-45b6-4463-8c52-b77e8323e70c · outbound

This paper cites Guided image filtering,.

Learning Guided Convolutional Network for Depth Completion Guided image filtering,

Reference 13

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Observation 3082baba-1628-4edf-a00f-ac17562e596f · outbound

This paper cites Bilateral filtering for gray and color images.

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

This paper cites Joint bilateral upsampling,.

Learning Guided Convolutional Network for Depth Completion Joint bilateral upsampling,

Reference 15

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Observation f8431d10-b5bd-4f9a-b792-5efe1cabf4ac · outbound

This paper cites Spatial-depth super reso- lution for range images,.

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

This paper cites Joint geodesic upsampling of depth images,.

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

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

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

This paper cites Propagating confidences through cnns for sparse data regression,.

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

This paper cites Deep convolutional compressed sensing for lidar depth completion,.

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

This paper cites Patch based synthesis for single depth image super-resolution,.

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

This paper cites Depth super resolution by rigid body self-similarity in 3d,.

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

This paper cites Variational depth superresolu- tion using example-based edge representations,.

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

This paper cites Joint super resolution and denoising from a single depth image,.

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

This paper cites Atgv-net: Accurate depth super- resolution,.

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

This paper cites High quality depth map upsampling for 3d-tof cameras,.

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

This paper cites High- quality depth map upsampling and completion for rgb-d cameras,.

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

This paper cites Image guided depth upsampling using anisotropic total generalized variation,.

Learning Guided Convolutional Network for Depth Completion Image guided depth upsampling using anisotropic total generalized variation,

Reference 28

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Source-reported events for the cited work

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Observation 4bcac17b-5017-48b7-b1c3-4145aa62e95f · outbound

This paper cites Semantically guided depth upsampling,.

Learning Guided Convolutional Network for Depth Completion Semantically guided depth upsampling,

Reference 29

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Observation 209d5036-c6bb-4d5f-b8d8-5d99dc65ec2b · outbound

This paper cites Edge-guided single depth image su- per resolution,.

Learning Guided Convolutional Network for Depth Completion Edge-guided single depth image su- per resolution,

Reference 30

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Source-reported events for the cited work

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Observation b37452bc-4686-4c3c-819f-4b837f156d25 · outbound

This paper cites Deep depth completion of a single rgb-d image,.

Learning Guided Convolutional Network for Depth Completion Deep depth completion of a single rgb-d image,

Reference 31

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Source-reported events for the cited work

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Observation 20d00066-ebf8-43af-9290-eff1ece71212 · outbound

This paper cites HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion.

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

This paper cites Confidence Propagation through CNNs for Guided Sparse Depth Regression.

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

This paper cites Sparse and noisy LiDAR completion with RGB guidance and uncertainty.

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

This paper cites Depth estimation via affinity learned with convolutional spatial propagation network,.

Learning Guided Convolutional Network for Depth Completion Depth estimation via affinity learned with convolutional spatial propagation network,

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5d08bd59-5baf-4984-9bc5-1dd893db7edf · outbound

This paper cites Cross- field joint image restoration via scale map,.

Learning Guided Convolutional Network for Depth Completion Cross- field joint image restoration via scale map,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:53.043980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.512320Z digest=sha256:c9c9d898afda297210a26aa89758490abb99492cc6af6e611b78ec44810d7e12

Observation d7916a28-0f2e-403c-9907-518cd6795b54 · outbound

This paper cites Rolling guidance filter,.

Learning Guided Convolutional Network for Depth Completion Rolling guidance filter,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:53.030899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.515215Z digest=sha256:dec2427ddac0a4449582f5abdfc53fafd91fb1041eaf6fdb13c41b3baf0a9b1b

Observation dde38783-b3e5-47f6-a107-83290e5c310b · outbound

This paper cites Mutual-structure for joint filtering,.

Learning Guided Convolutional Network for Depth Completion Mutual-structure for joint filtering,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:53.018141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.518410Z digest=sha256:a38c070f6d0c60fff82bf0193c655c9ccac243118bde64ade257a0b0f79a232c

Observation d963e593-2bb6-456d-9b6e-5e786d1abf04 · outbound

This paper cites Robust image filtering using joint static and dynamic guidance,.

Learning Guided Convolutional Network for Depth Completion Robust image filtering using joint static and dynamic guidance,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:53.005181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.521448Z digest=sha256:60fc4b299bf3edd9522e75f25e6f14f8d275c218de84a3b778932a2152dae45d

Observation afe21e19-8c05-47fa-86a9-fe683f040d57 · outbound

This paper cites Deep joint image filter- ing,.

Learning Guided Convolutional Network for Depth Completion Deep joint image filter- ing,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.991989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.525915Z digest=sha256:7c1945cefb3987d600f6a9e7b84a6590469b88e827c3b0c4313e6becb3c4df5c

Observation 0178041e-ca5d-402c-a866-6cce5ae2e1a2 · outbound

This paper cites Deep bilateral learning for real-time image enhancement,.

Learning Guided Convolutional Network for Depth Completion Deep bilateral learning for real-time image enhancement,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.981386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.529877Z digest=sha256:2fefc9d6579b670684342afc8edaa3708b6748ea13506133822990074f5339fa

Observation c7b0c89e-ec8a-4751-b696-7be37e01069f · outbound

This paper cites Depth completion with deep geometry and context guidance,.

Learning Guided Convolutional Network for Depth Completion Depth completion with deep geometry and context guidance,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.970775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.533796Z digest=sha256:49c8bbb9d17d602485257e986ebee0568a2bc74b27e5d51a5942253acb09768e

Observation b9160fda-2113-4085-8495-e3ea55c10e03 · outbound

This paper cites Fast end-to-end trainable guided filter,.

Learning Guided Convolutional Network for Depth Completion Fast end-to-end trainable guided filter,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.958522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.538051Z digest=sha256:c58a39e4143fdbd292d6e5a0114cf9959a18729363500af16e4235d4b6bd6636

Observation 1748fad7-d992-4098-b85b-fb74b7bba2a1 · outbound

This paper cites Guided image filtering,.

Learning Guided Convolutional Network for Depth Completion Guided image filtering,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.946197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.541973Z digest=sha256:42018ee0adf05533b79ce8185fba31498d883e763edb63304f74cfb7a3d6d0ba

Observation 4439f766-f92f-4ea9-acea-ebb21f61e628 · outbound

This paper cites Dynamic filter networks,.

Learning Guided Convolutional Network for Depth Completion Dynamic filter networks,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.933558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.545623Z digest=sha256:6c9e92516eacb37e34249cf9b0e2e50c40bc0176e67928cae8a4fbad6b6f395f

Observation b82398f3-9ded-4bd0-a7fc-4e2f2ad534f1 · outbound

This paper cites Deformable convolutional networks,.

Learning Guided Convolutional Network for Depth Completion Deformable convolutional networks,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.921044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.550097Z digest=sha256:d7e9fd0c0a4f3b3a3ed7e4fa0bb24b649790842f927b51b7c09df9241efdd741

Observation 5ac043f3-e55a-4b73-bd20-1253d937f783 · outbound

This paper cites Dynamic edge-conditioned filters in convolutional neural networks on graphs,.

Learning Guided Convolutional Network for Depth Completion Dynamic edge-conditioned filters in convolutional neural networks on graphs,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.907986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.553795Z digest=sha256:832bbce00c4bbbff5e20e722a1e0e2f8bfa90b6430cf6d70aab54b77541fec13

Observation 10a4e128-fc64-4048-833c-f29009c028e6 · outbound

This paper cites Dynamic filtering with large sampling field for convnets,.

Learning Guided Convolutional Network for Depth Completion Dynamic filtering with large sampling field for convnets,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.895529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.557384Z digest=sha256:8c7887f66f89494c40790c8bf29e472f099948c4fa43f05d444f35c179febc19

Observation 29bf728a-471d-4c84-bb81-ffaee9d46940 · outbound

This paper cites A closed-form solution to natural image matting,.

Learning Guided Convolutional Network for Depth Completion A closed-form solution to natural image matting,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.885512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.560976Z digest=sha256:5789cc58425b2d48cef609c53b82e4575f7ff54147c9b715440908cec8a132d3

Observation cb0409e0-f0df-4496-9375-795dcda20349 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Learning Guided Convolutional Network for Depth Completion Adam: A Method for Stochastic Optimization

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-14T15:23:52.565053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:23:52.565053Z digest=sha256:23078a01ab25e5bbd3317dc55a1901238702975be3e2e43023c3af87ba18ec01

Observation 6d0a976d-d693-4df3-a39c-89f150076d8e · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.

Learning Guided Convolutional Network for Depth Completion Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.874311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.568271Z digest=sha256:6ff93f7e902d547460efbb1850b43e61cc1ec0c8160c0d5afe1c56ed4875e0ed

Observation 9410e094-4697-4b93-96ff-35b96051d4e0 · outbound

This paper cites Context encoding for semantic segmentation,.

Learning Guided Convolutional Network for Depth Completion Context encoding for semantic segmentation,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.862849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.571643Z digest=sha256:e397245191f556b00ce745e1789070d34b646b4d8d6d59eb0d7a7a71336df0f5

Observation ce08f7fb-325c-4eb3-a419-480ed035eb7b · outbound

This paper cites Virtual worlds as proxy for multi-object tracking analysis,.

Learning Guided Convolutional Network for Depth Completion Virtual worlds as proxy for multi-object tracking analysis,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.850838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.574620Z digest=sha256:3ebe104863f8d71c5a6a5d4f15a5fb786a75b5b0318c73f76a16cc9da91c57c2

Observation 810f969c-3098-41ae-9dc3-1ebef9d5b98d · outbound

This paper cites Sparse-to-dense: Depth prediction from sparse depth samples and a single image,.

Learning Guided Convolutional Network for Depth Completion Sparse-to-dense: Depth prediction from sparse depth samples and a single image,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.837926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.577598Z digest=sha256:d20960d2aea3687e84211bafa8c3b342a10b19d947e4b2326b73a8f8e882d7b8

Observation 47afc44a-cfb5-4f19-b945-6d2260a1820c · outbound

This paper cites Dense Depth Posterior (DDP) from Single Image and Sparse Range.

Learning Guided Convolutional Network for Depth Completion Dense Depth Posterior (DDP) from Single Image and Sparse Range

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-14T15:23:52.661135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.580570Z digest=sha256:23dda07f68bd340f94325da21e71afd67a8bf62bd61b8452e74ef17e92e19113

Observation c18f1987-5a1f-428c-9abd-35f5150f733d · outbound

This paper cites Learning Depth with Convolutional Spatial Propagation Network.

Learning Guided Convolutional Network for Depth Completion Learning Depth with Convolutional Spatial Propagation Network

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-14T15:23:52.584486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:23:52.584486Z digest=sha256:39789463986c34db26153b08705a8b7c694305632f768e6015b66d8adf838e21

Observation 843e0789-1f90-4753-b261-0e4be523522d · outbound

This paper cites Indoor segmentation and support inference from rgbd images,.

Learning Guided Convolutional Network for Depth Completion Indoor segmentation and support inference from rgbd images,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.825178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.588610Z digest=sha256:665117c58f7c60fee1580c7f8c4dcde9e9ad3c53aa2ca949e6d11211272f882d

Observation 36fd6d3a-8133-4508-a0b1-1e2e616f8745 · outbound

This paper cites Colorization using optimization,.

Learning Guided Convolutional Network for Depth Completion Colorization using optimization,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.812046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.592271Z digest=sha256:623c77f40d210eca92a5e127f66bd7a5ba09cb96a0ad1bf2699406bda9ae3c5b

Observation 02c48fb9-7e6f-447f-9154-48d6f7983a8e · outbound

This paper cites Sun rgb-d: A rgb-d scene understanding benchmark suite,.

Learning Guided Convolutional Network for Depth Completion Sun rgb-d: A rgb-d scene understanding benchmark suite,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.800604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.595769Z digest=sha256:8891379731dc29fe13f686a9fc709c1365f2c087613cd2f7f76a4942425af006

Observation 5382653a-93a5-4599-ab2d-c2ccc3671de1 · outbound

This paper cites A category-level 3d object dataset: Putting the kinect to work,.

Learning Guided Convolutional Network for Depth Completion A category-level 3d object dataset: Putting the kinect to work,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.790181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.599972Z digest=sha256:32d0307c2da3c34c83fd587d00b01b91eacd8b89e219f5124b40f33c3e597e64

Observation c20dac7f-7ad3-4eea-9636-f9e3d581d36f · outbound

This paper cites Sun3d: A database of big spaces reconstructed using sfm and object labels,.

Learning Guided Convolutional Network for Depth Completion Sun3d: A database of big spaces reconstructed using sfm and object labels,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.777248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.603782Z digest=sha256:b1eb69972edf4450c609d9d1310db020381e526fab946c30540ed487204413ac

Observation 38854293-8252-4962-b22c-305e7363fb3e · outbound

This paper cites Object enhancement and extraction,.

Learning Guided Convolutional Network for Depth Completion Object enhancement and extraction,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:23:52.764134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:23:52.607535Z digest=sha256:c0b3ada2202d34bdbaefc1264f13ab9234b56096ac74c64d127c6752292835ef

Pith citing papers

No inbound Pith citation observations are available.