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Paper Citation Record · LEDGER

Auto-regressive transformation for image alignment

As of 10 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2505.04864.

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

pith.paper-citation-record.v1
2505.04864 v2

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T16:30:11.758892Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

67 of 67 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a5c41ca9-917f-493e-acff-03aaa630f71f · outbound

This paper cites Geometrized transformer for self- supervised homography estimation.

Auto-regressive transformation for image alignment Geometrized transformer for self- supervised homography estimation

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a18a004b-89b2-4d78-a0f9-37b7a7364192 · outbound

This paper cites Rempe: Registration of retinal images through eye modelling and pose estimation.IEEE Journal of Biomedical and Health Informatics, 24.

Auto-regressive transformation for image alignment Rempe: Registration of retinal images through eye modelling and pose estimation.IEEE Journal of Biomedical and Health Informatics, 24

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8ee323bb-41ed-4e16-9991-190ad4c14e50 · outbound

This paper cites Loftr: Detector-free local feature matching with transformers.

Auto-regressive transformation for image alignment Loftr: Detector-free local feature matching with transformers

Reference 3

Resolution
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Source-reported events for the cited work

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Observation bf292b6c-ab3e-4829-9e6b-3927edb9cecf · outbound

This paper cites Semi-supervised keypoint detector and descriptor for retinal im- age matching.

Auto-regressive transformation for image alignment Semi-supervised keypoint detector and descriptor for retinal im- age matching

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 251c5357-0cb7-412f-b437-a024d7800f9a · outbound

This paper cites Superjunction: Learning- based junction detection for retinal image registration.Pro- ceedings of the AAAI Conference on Artificial Intelligence, 38(1):292–300, Mar.

Auto-regressive transformation for image alignment Superjunction: Learning- based junction detection for retinal image registration.Pro- ceedings of the AAAI Conference on Artificial Intelligence, 38(1):292–300, Mar

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 519c1cdf-dab5-40bc-8ff3-fda2986b6eb1 · outbound

This paper cites V oxelmorph: a learning framework for deformable medical image registration.IEEE Transactions on Medical Imaging, 38.

Auto-regressive transformation for image alignment V oxelmorph: a learning framework for deformable medical image registration.IEEE Transactions on Medical Imaging, 38

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7e7cb52c-a52f-41ef-9ee8-62bffb501364 · outbound

This paper cites Cyclemorph: cycle consistent un- supervised deformable image registration.Medical Image Anal- ysis, 71.

Auto-regressive transformation for image alignment Cyclemorph: cycle consistent un- supervised deformable image registration.Medical Image Anal- ysis, 71

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c8ebb18e-367c-44b7-8266-9cdd0f9380e6 · outbound

This paper cites Diffusemorph: unsu- pervised deformable image registration using diffusion model.

Auto-regressive transformation for image alignment Diffusemorph: unsu- pervised deformable image registration using diffusion model

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 15988801-236a-4ee7-912f-d920901f8a9c · outbound

This paper cites Frey, Yufan He, William P.

Auto-regressive transformation for image alignment Frey, Yufan He, William P

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ec162233-d6ca-4b76-92c8-2bfdf780f2e0 · outbound

This paper cites Springer Nature Switzerland.

Auto-regressive transformation for image alignment Springer Nature Switzerland

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation df7aeaa3-b22d-4bfb-adf5-79349ca239ff · outbound

This paper cites H- ViT: A Hierarchical Vision Transformer for Deformable Image Registration.

Auto-regressive transformation for image alignment H- ViT: A Hierarchical Vision Transformer for Deformable Image Registration

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7b37292d-2c3a-4220-9fb7-cf4c032af361 · outbound

This paper cites Besl and Neil D.

Auto-regressive transformation for image alignment Besl and Neil D

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 415e09a9-a195-4527-ac4c-9237e13744b7 · outbound

This paper cites Active shape models-their training and applica- tion.Computer Vision and Image Understanding, 61.

Auto-regressive transformation for image alignment Active shape models-their training and applica- tion.Computer Vision and Image Understanding, 61

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e6b00cdf-b168-4d72-8816-43b056cf3567 · outbound

This paper cites Lee, Ozan Oktay, Andreas Schuh, Michiel Schaap, and Ben Glocker.

Auto-regressive transformation for image alignment Lee, Ozan Oktay, Andreas Schuh, Michiel Schaap, and Ben Glocker

Reference 14

Resolution
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raw_fallback, observed 2026-05-22T16:31:47.783082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:db9b4ddfa2225e95e1266c643d0992369d58c17bb50d26334612d5d0db04b86b

Observation d777fd09-859b-4ad9-b8df-6a41d1042cee · outbound

This paper cites A deep learning framework for unsupervised affine and deformable image regis- tration.Medical Image Analysis, 52.

Auto-regressive transformation for image alignment A deep learning framework for unsupervised affine and deformable image regis- tration.Medical Image Analysis, 52

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 11ffb8dc-407f-4bbe-9005-e93e042fdc42 · outbound

This paper cites Deep lucas- kanade homography for multimodal image alignment.

Auto-regressive transformation for image alignment Deep lucas- kanade homography for multimodal image alignment

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0547e205-2934-420d-adf3-a56c4b049ecc · outbound

This paper cites Mcnet: Re- thinking the core ingredients for accurate and efficient homog- raphy estimation.

Auto-regressive transformation for image alignment Mcnet: Re- thinking the core ingredients for accurate and efficient homog- raphy estimation

Reference 17

Resolution
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raw_fallback, observed 2026-05-22T16:31:47.771173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 546f9b47-86d7-46fc-9001-5de9f76c8fc9 · outbound

This paper cites Correlation-aware coarse-to-fine mlps for deformable medical image registration.

Auto-regressive transformation for image alignment Correlation-aware coarse-to-fine mlps for deformable medical image registration

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ca57b80e-a0c3-4da3-9a9d-df6333c372de · outbound

This paper cites Stendahl, Lawrence Staib, Albert J.

Auto-regressive transformation for image alignment Stendahl, Lawrence Staib, Albert J

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ba2a0d88-cca5-481f-9a18-0480f8a257e5 · outbound

This paper cites Iirp-net: Iterative inference residual pyramid network for enhanced im- age registration.

Auto-regressive transformation for image alignment Iirp-net: Iterative inference residual pyramid network for enhanced im- age registration

Reference 20

Resolution
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raw_fallback, observed 2026-05-22T16:31:47.699087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation be080698-c9b1-4c84-98a1-86d5e7c8610f · outbound

This paper cites Superpoint: Self-supervised interest point detection and de- scription.

Auto-regressive transformation for image alignment Superpoint: Self-supervised interest point detection and de- scription

Reference 21

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raw_fallback, observed 2026-05-22T16:31:47.666211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2975d172-3862-4e4a-b819-f6f477dd2b94 · outbound

This paper cites Glam- points: Greedily learned accurate match points.

Auto-regressive transformation for image alignment Glam- points: Greedily learned accurate match points

Reference 22

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:f3f4a3b3f257293e12cc020b2759e13fba87134cf73b7c330911921ee3a6d195

Observation 50130d71-8435-4001-9041-c73acfd77a0b · outbound

This paper cites Ncnet: Neighbourhood consensus networks for estimating image correspondences.

Auto-regressive transformation for image alignment Ncnet: Neighbourhood consensus networks for estimating image correspondences

Reference 23

Resolution
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raw_fallback, observed 2026-05-22T16:31:47.648196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 271190d0-f59f-485e-98f3-7c768b55c872 · outbound

This paper cites Superglue: Learning feature matching with graph neural networks.

Auto-regressive transformation for image alignment Superglue: Learning feature matching with graph neural networks

Reference 24

Resolution
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raw_fallback, observed 2026-05-22T16:31:47.650872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:e661419ca2b6843e4fb301b04bddefbf19f1144a57b356f575b85ac2d4ede43a

Observation 5032fb94-12a6-4e89-b546-10de3542d280 · outbound

This paper cites Aspanformer: Detector-free image matching with adap- tive span transformer.

Auto-regressive transformation for image alignment Aspanformer: Detector-free image matching with adap- tive span transformer

Reference 25

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raw_fallback, observed 2026-05-22T16:31:47.653787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d246e0ad-8924-4e4b-abdf-366f30d985d7 · outbound

This paper cites Tamplin, Isabella M.

Auto-regressive transformation for image alignment Tamplin, Isabella M

Reference 26

Resolution
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raw_fallback, observed 2026-05-22T16:31:47.686126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:5dee2ecdf82671fcf2686a0155266d91c32f3e8be9982e25b23a50fc7abcefaf

Observation 257a95b7-e600-4378-9da8-4b52f5e5f1f8 · outbound

This paper cites Iterative deep homography estimation.

Auto-regressive transformation for image alignment Iterative deep homography estimation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.662996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:d29327a8d9b616a85713d10f150c52ae6a68dfcf0e1c602c87d320e9ff126a79

Observation 52e95798-89f5-4f9d-af7f-1f50c8709d50 · outbound

This paper cites Distinctive image features from scale-invariant keypoints.International Journal of Computer Vision, 60.

Auto-regressive transformation for image alignment Distinctive image features from scale-invariant keypoints.International Journal of Computer Vision, 60

Reference 28

Resolution
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raw_fallback, observed 2026-05-22T16:31:47.751387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1c4197f4-aa53-4cb2-8c6f-61e5d7cfac5d · outbound

This paper cites Surf: Speeded up robust features.

Auto-regressive transformation for image alignment Surf: Speeded up robust features

Reference 29

Resolution
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raw_fallback, observed 2026-05-22T16:31:47.837780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:a3d59043bdb04857a5fdf51c5dc6787e1d3ccb456b8bee558ff5a93ebe54e9bd

Observation e150b3d1-6b12-4e7c-91e2-c90e1d9f87b1 · outbound

This paper cites Faster and better: A machine learning approach to corner detection.IEEE Transactions on Pattern Analysis and Machine Intelligence, 32.

Auto-regressive transformation for image alignment Faster and better: A machine learning approach to corner detection.IEEE Transactions on Pattern Analysis and Machine Intelligence, 32

Reference 30

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raw_fallback, observed 2026-05-22T16:31:47.834441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c0ca58e0-3a62-476c-95c2-730047499f2d · outbound

This paper cites Brief: Binary robust independent elementary features.

Auto-regressive transformation for image alignment Brief: Binary robust independent elementary features

Reference 31

Resolution
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raw_fallback, observed 2026-05-22T16:31:47.847366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:de71458c6d54bb2451c00626081f504438457f9ebb8ebb139e54c5cf9639f271

Observation e9c4f2f6-728c-4f0b-9f33-92b337a1c156 · outbound

This paper cites R2d2: Repeatable and reliable detector and descriptor.

Auto-regressive transformation for image alignment R2d2: Repeatable and reliable detector and descriptor

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.827633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:97ce972a2c9d9a6a090908dacd0a6f903f431497433bec9002d52c32b962ae4b

Observation a4c84c91-47f2-4751-9fef-0caadf88ef43 · outbound

This paper cites LightGlue: Local Feature Matching at Light Speed.

Auto-regressive transformation for image alignment LightGlue: Local Feature Matching at Light Speed

Reference 33

Resolution
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raw_fallback, observed 2026-05-22T16:31:47.737413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:a11ed8e2ac0a9384519faa4dde87c93ff853505577436c2b76f15746ed49d9d0

Observation b53d4ba9-b39a-403d-8b9b-28c8b8acb949 · outbound

This paper cites Deep image homography estimation.

Auto-regressive transformation for image alignment Deep image homography estimation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.844124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:99ae2b549da7f6c623e391576eb77c660227732513892f737c0913cee9791f25

Observation c759117d-fed6-41b2-8c7a-2404731242d7 · outbound

This paper cites Gmflow: Learning optical flow via global match- ing.

Auto-regressive transformation for image alignment Gmflow: Learning optical flow via global match- ing

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.786210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:ca38e2ac683704f5ee7fffaa3eb1426a45ea2e982cc4e75d9c034b0250af4717

Observation 337a87c9-0562-476b-b259-da2f963635df · outbound

This paper cites Flowformer: A transformer architecture for optical flow.

Auto-regressive transformation for image alignment Flowformer: A transformer architecture for optical flow

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.840817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:7e9ec4e385d2008a086c16353325e25a25264f77693705d8f94990abef0e3de8

Observation e9d3a99b-4513-484a-9ab9-91f6646d729d · outbound

This paper cites RoMa: Robust Dense Feature Matching.

Auto-regressive transformation for image alignment RoMa: Robust Dense Feature Matching

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.830914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:ac4cea639d208a3474e4265dcf7ca690a468522a63012c47403c07ad0a9ea897

Observation 9d98c5c5-b6be-4c4a-b02c-3345ec6cd2d7 · outbound

This paper cites Emergent correspondence from image diffusion.

Auto-regressive transformation for image alignment Emergent correspondence from image diffusion

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.676216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:8de3d737c0169e733e0a8b2909681756ab3f8b1051ba90f85f6eea22f1a3c9d1

Observation 42f85f4b-1df2-4240-bbc6-2e1448d5754d · outbound

This paper cites Wells III.

Auto-regressive transformation for image alignment Wells III

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.728265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:136aa7384d5627d7064f6b78cdf259cb77671a8944de3f68c90417ad3acd541e

Observation da8923b1-3ffd-4801-a74a-f5b88ffdad44 · outbound

This paper cites Image registration methods: a survey.Image and Vision Computing, 21(11):977–1000.

Auto-regressive transformation for image alignment Image registration methods: a survey.Image and Vision Computing, 21(11):977–1000

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.734253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:9ec01f1be8f80b44839b22ffe89d19a92bf3406a20a195e84462d32c1cc083ac

Observation 601fc97e-a8fa-4a0e-add2-21d46f12511f · outbound

This paper cites Multimodality image registration by maximization of mutual information.IEEE Transactions on Medical Imaging, 16(2):187–198.

Auto-regressive transformation for image alignment Multimodality image registration by maximization of mutual information.IEEE Transactions on Medical Imaging, 16(2):187–198

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.660006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:2cbf9bfa5eb35a40b3dcab243b7a2bde1472797f6f0acfe48b50acf803b0c77a

Observation a4e40cae-1993-4e1c-a2e8-7cc05656d58d · outbound

This paper cites Image matching as a diffusion process: an analogy with maxwell’s demons.Medical Image Analysis, 2(3):243–260.

Auto-regressive transformation for image alignment Image matching as a diffusion process: an analogy with maxwell’s demons.Medical Image Analysis, 2(3):243–260

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.748541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:c2e1380cabb473a07084e6e7db043c103aed8493360be682d3a7a9b59a0f28b6

Observation 21f429fb-a955-4242-8552-080791b0a145 · outbound

This paper cites Spatial transformer networks.arXiv preprint.

Auto-regressive transformation for image alignment Spatial transformer networks.arXiv preprint

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.745427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:2736fda658614cc69bbfe1f596a14453bbb761a99c300a9f46c1b28ae565e7d5

Observation d0764926-8537-490f-a4f7-af753acc0ad3 · outbound

This paper cites Separable flow: Learning motion cost volumes for optical flow estimation.

Auto-regressive transformation for image alignment Separable flow: Learning motion cost volumes for optical flow estimation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.680062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:84167de4754ee4288370a7da1e051cb24096d7293605e232fdb241bbcf238033

Observation b2384435-7c1a-4722-9817-7232f9711480 · outbound

This paper cites Deformable image regis- tration based on similarity-steered cnn regression.

Auto-regressive transformation for image alignment Deformable image regis- tration based on similarity-steered cnn regression

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.695725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:fcc3402099d09f40225adf051cec1e8fc7ada47dd24a1ad0039cf4f58506f42b

Observation e625a7a4-b2b5-44e5-a378-b31b60b883a6 · outbound

This paper cites Weakly-supervised con- volutional neural networks for multimodal image registration.

Auto-regressive transformation for image alignment Weakly-supervised con- volutional neural networks for multimodal image registration

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.672914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:14dad52a6669948acf7bfd138bbd5f106e274c0bc0f522b7192b7a5bc3fd5290

Observation fded82b0-e23a-4428-9a9f-8cf3a2577cbf · outbound

This paper cites Deepatlas: Joint semi- supervised learning of image registration and segmentation.

Auto-regressive transformation for image alignment Deepatlas: Joint semi- supervised learning of image registration and segmentation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.756403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:acf8d0c6efc7ca75111125433c39ad0674865d05fd2060f27d62900e494e5ab4

Observation e3a805c2-893d-48c8-a27b-708c41996eff · outbound

This paper cites Springer Nature Switzerland.

Auto-regressive transformation for image alignment Springer Nature Switzerland

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.702280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:9bf319b1b2a08c6e31564ae0a345d1dcbd29bbe9962f0c28c1ad18f0d35e6b55

Observation 3ee65bc6-ff1c-4a81-bc5f-f5cd4ccac647 · outbound

This paper cites Random sample con- sensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395.

Auto-regressive transformation for image alignment Random sample con- sensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.692506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:3d6032ed065e0c6f6a00054f82ec2855691c34c11dfc263bfd8e80fa7f5f33a0

Observation 48f220ff-d557-42f5-9c03-155ffc8a94a8 · outbound

This paper cites Lucas and Takeo Kanade.

Auto-regressive transformation for image alignment Lucas and Takeo Kanade

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.689277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:6e6fe2ca2b326ef69097da9c813fd4b829b9e40a871e5413d86180a705f40b4f

Observation 4d699aaf-c4e6-4330-b9e4-b5887fa348dd · outbound

This paper cites Posediffusion: Solving pose estimation via diffusion-aided bun- dle adjustment.

Auto-regressive transformation for image alignment Posediffusion: Solving pose estimation via diffusion-aided bun- dle adjustment

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.709178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:d45a627f5bfe89cb372150501ca33b420228ff9339c93da1c765c10ed418d6c7

Observation fce44689-e775-45d8-929f-79890ab65d86 · outbound

This paper cites Cameras as rays: Pose estimation via ray diffusion.

Auto-regressive transformation for image alignment Cameras as rays: Pose estimation via ray diffusion

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.705952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:7f5b2ac1edfc517adfd52517dd8f56646a7c07393f32e614bfc5ff9b52a0e206

Observation 7117269c-4aa9-43be-874a-84cd89fb34cd · outbound

This paper cites Ang Jr, and Daniela Rus.

Auto-regressive transformation for image alignment Ang Jr, and Daniela Rus

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.656811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:b5e9f3f2c115c8f5f408f543e476b659537d2570306a1ccd0586c8284600a938

Observation 8c0bdeeb-912a-429f-be19-929c2be4716e · outbound

This paper cites Cambridge.

Auto-regressive transformation for image alignment Cambridge

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.740041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:b7e0534c0b2f78ca605ee5399ce513b2a711ea67a544f914f16f87dca3e275f4

Observation b15bcd8e-e8c9-4912-be57-dc8807105b1d · outbound

This paper cites Dsac* - differentiable ransac for camera lo- calization.

Auto-regressive transformation for image alignment Dsac* - differentiable ransac for camera lo- calization

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.742806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:f3da7e3744f9a4affc6610dbdd6ab1bf03d0902f16a8ac7dc26659a1eef9f94c

Observation b05532c3-fad0-4089-a7a5-c9573b8d259b · outbound

This paper cites Fire: Fundus image registration dataset.Journal for Modeling in Ophthalmology, 1.

Auto-regressive transformation for image alignment Fire: Fundus image registration dataset.Journal for Modeling in Ophthalmology, 1

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.754149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:042799ce11165ec67ed647731cbf36d61df3290679d1e3f7d5ac6c7d2be206d0

Observation 420e53f0-03ec-4baf-b0f7-119d4b19382f · outbound

This paper cites Flori21: Fluorescein an- giography longitudinal retinal image registration dataset.

Auto-regressive transformation for image alignment Flori21: Fluorescein an- giography longitudinal retinal image registration dataset

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.762538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:47f620b7a010ed92e7a4117c06d38e3d28d184c48fd3450a462caa896003db40

Observation 52167cc5-8308-415c-b716-ee71be438388 · outbound

This paper cites Hpatches: A benchmark and evaluation of hand- crafted and learned local descriptors.

Auto-regressive transformation for image alignment Hpatches: A benchmark and evaluation of hand- crafted and learned local descriptors

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.809027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:b59a27ddae98266d9b5860cfdd66125ccc4342a01784ccada054ecd88d33af88

Observation 929f7ebd-abc5-4428-8d62-46baf670d949 · outbound

This paper cites Megadepth: Learning single- view depth prediction from internet photos.

Auto-regressive transformation for image alignment Megadepth: Learning single- view depth prediction from internet photos

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.794917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:3a0d4c3047fbe7e71d02b47d997d94e54b1ee1ec1cf19d1dd77106700083ac1b

Observation 74eeabee-6729-4ee8-9f9b-617e5b74ed5c · outbound

This paper cites Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner.

Auto-regressive transformation for image alignment Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.811578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:912f8a97ad615b80fc54e11bd8722cfdd2030a14e810f22b42f934fd64ce64c5

Observation d5c78687-60a0-42f7-b205-3c1651a32b32 · outbound

This paper cites Lawrence Zitnick, and Piotr Doll ´ar.

Auto-regressive transformation for image alignment Lawrence Zitnick, and Piotr Doll ´ar

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.817578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:49e7f963bffef0ce41872b1e6eef149531e8ca8985f06d4ba8831a4f903233cb

Observation 6672c2d2-5bf3-4ab4-864f-11d4c0dedab2 · outbound

This paper cites Decoupled weight decay reg- ularization.

Auto-regressive transformation for image alignment Decoupled weight decay reg- ularization

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.722471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:9e1e78f496a718238b896fd01ec71d04b07248db7cb503ef2a03e776c20a26c9

Observation 54c43c86-178d-4b25-b0d4-2480047f4726 · outbound

This paper cites The dual-bootstrap iterative closest point algorithm with application to retinal image registration.IEEE Transactions on Medical Imaging, 22.

Auto-regressive transformation for image alignment The dual-bootstrap iterative closest point algorithm with application to retinal image registration.IEEE Transactions on Medical Imaging, 22

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.725531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:4c62c1567126c8a014afb4d24e23c95f72975b9f0e26dfb5f150b25bd884e7e4

Observation 6788b1f2-1a54-4d94-ad34-9d6446a79e35 · outbound

This paper cites Matchformer: Interleaving attention in transformers for feature matching.

Auto-regressive transformation for image alignment Matchformer: Interleaving attention in transformers for feature matching

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.715336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:0fc4489b10d2a3b1ad421fb11b060fa37b9032e9c41bd5973b036b8f36a96d3f

Observation f16646db-97eb-44bb-ba2d-08dcc488bacd · outbound

This paper cites Object retrieval with large vocabularies and fast spatial matching.

Auto-regressive transformation for image alignment Object retrieval with large vocabularies and fast spatial matching

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.712115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:821eaafd34967c2b002cb382e1076b42456a09a17f2a83f63927e7bd3cffb319

Observation 9e14c30a-fe19-4b7d-8920-d2586145f8a2 · outbound

This paper cites Lost in quantization: Improving particular object retrieval in large scale image databases.

Auto-regressive transformation for image alignment Lost in quantization: Improving particular object retrieval in large scale image databases

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.718470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:cbaea078496c0e3a0d465337687fdbf14a41686f79069f9d981e8fb29b5bfe2e

Observation 46f58f02-6e77-406f-abb5-8a8792273c4d · outbound

This paper cites Recurrent homogra- phy estimation using homography-guided image warping and focus transformer.

Auto-regressive transformation for image alignment Recurrent homogra- phy estimation using homography-guided image warping and focus transformer

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T16:31:47.731413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:30:11.758892Z digest=sha256:a24687ae75895f118fb9e67f571e8883c5ced459bce2fea646f6b88f9894dd1e

Pith citing papers

No inbound Pith citation observations are available.