Paper Citation Record · LEDGER

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching

As of 19 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2412.18703.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.18703 v2

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:39:47.115170Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:38:02.234898Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-08T13:38:02.673336Z

Reference resolution

54 of 54 outbound references displayed

verified exact3
verified fuzzy39
unresolved10
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 64d09abb-57d1-433e-96ca-1559ef06a4dc · outbound

This paper cites Deep Evidential Regression.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Deep Evidential Regression

Reference 1

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Observation 7da53762-737d-466f-97fa-8886b70aa78d · outbound

This paper cites Cbmv: A coalesced bidirectional matching volume for disparity estimation.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Cbmv: A coalesced bidirectional matching volume for disparity estimation

Reference 2

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Observation d68c0e06-bfa0-4cfd-862c-8de58a1217f9 · outbound

This paper cites Weight uncertainty in neural network.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Weight uncertainty in neural network

Reference 3

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Observation d24e7570-790c-4a61-9186-30ef61e89322 · outbound

This paper cites Pyramid stereo matching network.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Pyramid stereo matching network

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:49.637685Z

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Observation d9c66dcb-2c5a-463e-a4ce-e06762ebff26 · outbound

This paper cites Learn- ing the distribution of errors in stereo matching for joint dis- parity and uncertainty estimation.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Learn- ing the distribution of errors in stereo matching for joint dis- parity and uncertainty estimation

Reference 5

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Observation d53b7d72-401a-43b1-aa83-161355d4c67d · outbound

This paper cites Fox, and Carlos Guestrin.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Fox, and Carlos Guestrin

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:49.576541Z

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Observation 450b1110-ceb3-41d0-9159-323a6dd91b72 · outbound

This paper cites Robust inference via multiplier bootstrap.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Robust inference via multiplier bootstrap

Reference 7

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Observation bdba0acf-787a-4ea2-80bf-0d55faccda5f · outbound

This paper cites Li, Ravi Ramamoorthi, and Hao Su.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Li, Ravi Ramamoorthi, and Hao Su

Reference 8

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Observation 8c0995e5-f12b-4ce9-a2ad-40e388ae6a93 · outbound

This paper cites Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:39:47.970946Z

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Observation b00e4096-c1cc-42b7-a5d2-d75f4dcd0439 · outbound

This paper cites Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection

Reference 10

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Source-reported events for the cited work

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Observation e5f3b2a3-45ea-4efb-a6fc-fbb9044aaad4 · outbound

This paper cites Skeel, and Hartmut Neven.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Skeel, and Hartmut Neven

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:49.449471Z

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Observation f1ea1ca8-f7f1-4d7e-bb86-b20a478ac432 · outbound

This paper cites Flownet: Learn- ing optical flow with convolutional networks.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Flownet: Learn- ing optical flow with convolutional networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:49.413874Z

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Observation 932af05a-6c95-48ee-acd1-3423efef6e62 · outbound

This paper cites Computer Stereo Vision for Autonomous Driving.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Computer Stereo Vision for Autonomous Driving

Reference 13

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Observation 52a3815b-73c8-474f-ae96-19a77f8127df · outbound

This paper cites Farooq, Melvyn L.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Farooq, Melvyn L

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:49.384104Z

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Observation e04bfb76-e505-4cf1-ae03-285c9155bd3d · outbound

This paper cites Is MC Dropout Bayesian?.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Is MC Dropout Bayesian?

Reference 15

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Observation eb3579be-a9e7-41bb-87b4-8a722ab457a8 · outbound

This paper cites Batmanghe- lich, and Dacheng Tao.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Batmanghe- lich, and Dacheng Tao

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:49.352901Z

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Observation 97e3ec06-3881-46ba-a19b-927181a1ae11 · outbound

This paper cites Virtualworlds as proxy for multi-object tracking analy- sis.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Virtualworlds as proxy for multi-object tracking analy- sis

Reference 17

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Observation 9b09db09-7961-4caa-8e5b-4883b4aeeaae · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 18

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Observation c212515b-9d05-4631-a7bb-90e260af3f5a · outbound

This paper cites Vision meets robotics: The kitti dataset.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Vision meets robotics: The kitti dataset

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:49.270204Z

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Observation 616ebc60-9f8b-427a-8c0b-f043e939a875 · outbound

This paper cites Group-wise correlation stereo network.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Group-wise correlation stereo network

Reference 20

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Observation 767208ec-5fb4-4cbd-b689-518e061e79f9 · outbound

This paper cites Gradient-based Uncertainty for Monocular Depth Estimation.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Gradient-based Uncertainty for Monocular Depth Estimation

Reference 21

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Observation 38b78f1a-135c-4be1-9c92-bd6ae079f8ee · outbound

This paper cites Bondell, and Mingming Gong.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Bondell, and Mingming Gong

Reference 22

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Observation 553a1433-bc00-40d5-b475-12ee4f3a354f · outbound

This paper cites Snapshot Ensembles: Train 1, get M for free.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Snapshot Ensembles: Train 1, get M for free

Reference 23

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Observation 4c2745c3-39fb-41eb-9bfb-105307b7b8c9 · outbound

This paper cites Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:49.154744Z

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Observation 919e4d91-3705-41be-94d6-77f78cdc473a · outbound

This paper cites Uncertainty es- timates and multi-hypotheses networks for optical flow.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Uncertainty es- timates and multi-hypotheses networks for optical flow

Reference 26

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Observation 71d32988-5adf-444a-9327-ecfa329709fe · outbound

This paper cites What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

Reference 27

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Observation 6d4df42a-5f05-4661-9283-05d1e3dd7c81 · outbound

This paper cites End-to-end learning of geometry and context for deep stereo regression.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching End-to-end learning of geometry and context for deep stereo regression

Reference 28

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Observation ed0ff687-077c-4274-978c-4f472fdf224e · outbound

This paper cites Non- parametric uncertainty quantification for single deterministic neural network.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Non- parametric uncertainty quantification for single deterministic neural network

Reference 29

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Observation 539f46d7-f08f-4fd7-973a-098a4983e203 · outbound

This paper cites Comparison of stereo matching algorithms for mobile robots.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Comparison of stereo matching algorithms for mobile robots

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:48.988831Z

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Observation e4c06a9b-ab42-47a2-ba93-8a617f080f51 · outbound

This paper cites Uncertainty in Multitask Transfer Learning.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Uncertainty in Multitask Transfer Learning

Reference 31

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Observation c4060d1c-42e9-409f-af98-07c9e985a721 · outbound

This paper cites An efficient implementation of a census-based stereo matching and its applications in medical imaging.J.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching An efficient implementation of a census-based stereo matching and its applications in medical imaging.J

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:48.969536Z

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Observation 2bb66af0-72cb-4412-9af4-3966074fbaf3 · outbound

This paper cites Simple and scalable predictive uncertainty esti- mation using deep ensembles.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Simple and scalable predictive uncertainty esti- mation using deep ensembles

Reference 33

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Observation bbd9cd47-6a3b-40e5-b977-062f09604842 · outbound

This paper cites Overconfident and unconfident ai hinder human-ai collaboration.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Overconfident and unconfident ai hinder human-ai collaboration

Reference 34

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This paper cites Bondell, and Brian J.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Bondell, and Brian J

Reference 35

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Observation ab106eaa-a618-4453-9c13-891ec32ebaf5 · outbound

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Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Unresolved cited work

Reference 36

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Observation 7e66ee65-68e7-4ded-88b8-799eaffff371 · outbound

This paper cites Elfnet: Evidential local-global fusion for stereo matching.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Elfnet: Evidential local-global fusion for stereo matching

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:48.709523Z

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Observation 196a88ff-3873-4f90-a8f8-d25210d48e99 · outbound

This paper cites A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:48.668542Z

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Observation a669a49b-65bd-4791-bc44-05352b0f13bb · outbound

This paper cites Why ai is harder than we think.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Why ai is harder than we think

Reference 39

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Observation 5ec71d5a-0077-43be-8415-3255ddd4a043 · outbound

This paper cites Deep Deterministic Uncertainty: A Simple Baseline.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Deep Deterministic Uncertainty: A Simple Baseline

Reference 40

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Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Unresolved cited work

Reference 41

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Observation bb04f888-9c2c-4683-8453-876d75be2b88 · outbound

This paper cites In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning

Reference 42

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Observation 7a0d9ece-d63b-4600-99b6-ff0a1ab13f90 · outbound

This paper cites Sch ¨onberger, Sudipta N.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Sch ¨onberger, Sudipta N

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:48.442199Z

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Observation b88fa5d5-1484-4a7b-b78b-595985c5da3b · outbound

This paper cites Sgm-nets: Semi-global matching with neural networks.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Sgm-nets: Semi-global matching with neural networks

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:48.381646Z

Source-reported events for the cited work

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Observation 6ce25ad3-1054-413c-bf7e-67e3f1dc449d · outbound

This paper cites An uncertainty-aware transfer learning-based framework for covid-19 diagnosis.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching An uncertainty-aware transfer learning-based framework for covid-19 diagnosis

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:48.332500Z

Source-reported events for the cited work

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Observation 58b3cc4b-3181-4f4b-a052-6f062b6c5b8a · outbound

This paper cites Pcw-net: Pyramid combination and warping cost volume for stereo matching.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Pcw-net: Pyramid combination and warping cost volume for stereo matching

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:48.295737Z

Source-reported events for the cited work

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Observation 4d5a7612-f546-4d63-9b01-a8b199d2d004 · outbound

This paper cites Digging into uncertainty-based pseudo-label for robust stereo matching.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Digging into uncertainty-based pseudo-label for robust stereo matching

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:48.257926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8eefae78-e6e2-4790-99b4-dcf972b9de91 · outbound

This paper cites Tsybakov.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Tsybakov

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:48.234928Z

Source-reported events for the cited work

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Observation 3933129d-71db-4414-977b-429f46de6fe9 · outbound

This paper cites van Amersfoort, Lewis Smith, Yee Whye Teh, and Yarin Gal.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching van Amersfoort, Lewis Smith, Yee Whye Teh, and Yarin Gal

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:48.206905Z

Source-reported events for the cited work

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Observation b1a07576-6ae2-4fbf-83ad-2be62fa7c846 · outbound

This paper cites Deep convolutional network for stereo depth map- ping in binocular endoscopy.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Deep convolutional network for stereo depth map- ping in binocular endoscopy

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:48.164683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a4de972d-d773-4ef2-8409-d6f4427a7b39 · outbound

This paper cites Double- uncertainty weighted method for semi-supervised learning.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Double- uncertainty weighted method for semi-supervised learning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:48.139732Z

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Observation 932f121f-812f-4cbf-ae41-d9709962e80a · outbound

This paper cites Jackknife, bootstrap and other resampling methods in regression analysis.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Jackknife, bootstrap and other resampling methods in regression analysis

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:48.109977Z

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Observation 86b3908a-bf4e-4ff6-ac5a-a65abf20ae9d · outbound

This paper cites Drivingstereo: A large-scale dataset for stereo matching in autonomous driving scenarios.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Drivingstereo: A large-scale dataset for stereo matching in autonomous driving scenarios

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:48.064754Z

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Observation 74ea7323-4d62-464a-ac08-b5e8a7447038 · outbound

This paper cites Computing the stereo match- ing cost with a convolutional neural network.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Computing the stereo match- ing cost with a convolutional neural network

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:39:48.030538Z

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Observation 4c2593e5-c590-4366-9a55-817a3e6b8618 · outbound

This paper cites Uncertainty Aware Semi-Supervised Learning on Graph Data.

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching Uncertainty Aware Semi-Supervised Learning on Graph Data

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:39:47.196930Z

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Pith citing papers

Observation 07ecebbc-e49f-44ba-b081-f6989ffbf1f8 · inbound

OscNet: Machine Learning on CMOS Oscillator Networks cites this paper.

OscNet: Machine Learning on CMOS Oscillator Networks Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching

Reference 10

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