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Paper Citation Record · LEDGER

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation

As of 22 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 2 inbound Pith citation observations for arXiv:2502.04293.

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

pith.paper-citation-record.v1
2502.04293 v2

Coverage vector

measured 86 of 86 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:56:54.106479Z

measured 88 of 88 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:46:51.619868Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:47:08.713652Z

Reference resolution

86 of 86 outbound references displayed

  • verified exact2
  • verified fuzzy67
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2910a7e0-6b70-4b92-97e3-355153d9002b · outbound

This paper cites K-means++: The advantages of careful seeding.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation K-means++: The advantages of careful seeding

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:56:53.796493Z digest=sha256:abc854ce58600c1d676c6139b012ff14f1a871e591d120466af35bb7912fe712

Observation 24bef2f9-5fb1-4119-9381-236ba8c7f0e8 · outbound

This paper cites Zs6d: Zero-shot 6d object pose estimation using vision transformers.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Zs6d: Zero-shot 6d object pose estimation using vision transformers

Reference 2

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source=pdf_text observed=2026-08-08T22:56:53.801227Z digest=sha256:91ce663cb841c91bf7395613edfd7d7035abf96faf47325917e54204d296edc9

Observation 9f7bd35e-b19f-486a-93c6-98e332862993 · outbound

This paper cites GS-Pose: Generalizable Segmentation-based 6D Object Pose Estimation with 3D Gaussian Splatting.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation GS-Pose: Generalizable Segmentation-based 6D Object Pose Estimation with 3D Gaussian Splatting

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:56:53.805072Z digest=sha256:dcd56faeaa4e22960b4c7533be3fe2944709a4400ae81147966d740ba4b81e84

Observation 180b9a7c-c692-40a1-b2e1-fefc9684a044 · outbound

This paper cites Freeze: Training-free zero-shot 6d pose estimation with geometric and vision foundation models.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Freeze: Training-free zero-shot 6d pose estimation with geometric and vision foundation models

Reference 4

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T22:56:53.809644Z digest=sha256:d70de844e48dc8719651049b122d448168779987739ca97ad660f4d4eec39bd0

Observation bcc53111-252f-42bb-95c8-c0ae7b2c1f9a · outbound

This paper cites Learning canonical shape space for category-level 6d object pose and size estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Learning canonical shape space for category-level 6d object pose and size estimation

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:56:53.813454Z digest=sha256:d8975e63be529f0864f6390d22ab67b0705fe5d1a224b49af91de940ed2c4244

Observation cb0753fa-8a58-4350-9162-95eb638a9f48 · outbound

This paper cites Sgpa: Structure-guided prior adapta- tion for category-level 6d object pose estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Sgpa: Structure-guided prior adapta- tion for category-level 6d object pose estimation

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:56:53.817444Z digest=sha256:5c4772bd9101d94fd73339220b10b9a988d16511ad1ad8f28b8fea018a44ce23

Observation ac6931db-9baa-4951-b0c2-054ca4935704 · outbound

This paper cites Fs-net: Fast shape-based network for category-level 6d object pose estimation with decoupled rotation mechanism.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Fs-net: Fast shape-based network for category-level 6d object pose estimation with decoupled rotation mechanism

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:56:53.821500Z digest=sha256:e206cf6c6fb3465bab4d75e7020ddade241c26dacac1b2b97d17960f5e626888

Observation f09cc0ad-3045-4d57-afdb-e54794b0675f · outbound

This paper cites Secondpose: Se (3)- consistent dual-stream feature fusion for category-level pose estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Secondpose: Se (3)- consistent dual-stream feature fusion for category-level pose estimation

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.825206Z digest=sha256:b4d049e472b9b51a62c28dea09b68513fa4ff4a0b7274e865f40a431772aab25

Observation df028481-ae0c-4843-8cb8-005a211cf568 · outbound

This paper cites High-resolution open-vocabulary object 6D pose estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation High-resolution open-vocabulary object 6D pose estimation

Reference 9

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no resolver link, observed 2026-08-08T22:56:53.828914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:56:53.828914Z digest=sha256:7f7e7785526cacdd5c055e1953dcee2df93e29314af0bb54626e29b98c89ec95

Observation a5f48eb9-3890-44fe-8ba7-d3033f1b480d · outbound

This paper cites Open-vocabulary object 6d pose estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Open-vocabulary object 6d pose estimation

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.833089Z digest=sha256:2deb4fccccc7c8483528cb5b5b367af760c04cd83c814aefeb6810c4ff80de0f

Observation e4fcfa2b-5563-4b5a-a8b2-284f0fa247a0 · outbound

This paper cites Gpv-pose: Category-level object pose estimation via geometry-guided point-wise voting.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Gpv-pose: Category-level object pose estimation via geometry-guided point-wise voting

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.836531Z digest=sha256:3aa662eb712a1f96d6c950c4de5e729079063e56ec3d1cff64bc54ad8ab97d41

Observation 965cbb40-1f50-420d-a707-f47d103cbb0d · outbound

This paper cites Zero123-6D: Zero-shot Novel View Synthesis for RGB Category-level 6D Pose Estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Zero123-6D: Zero-shot Novel View Synthesis for RGB Category-level 6D Pose Estimation

Reference 12

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local_arxiv, observed 2026-08-08T22:56:54.205683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.840406Z digest=sha256:eeb606c26b96cf575a7de5ad4ea05d5f8065acb06e79a49fe5861312c81dea5b

Observation 7f0e416f-e997-44d9-a4d0-a5d955cff71f · outbound

This paper cites Model globally, match locally: Efficient and robust 3d object recognition.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Model globally, match locally: Efficient and robust 3d object recognition

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.844297Z digest=sha256:c067d99ab19d3d1f972f4c802f04425f6316a99dac9aac6f2e92fb6c5d4c0601

Observation 6c10f971-1b5b-4677-8a6c-2e8d5cb03967 · outbound

This paper cites Model globally, match locally: Efficient and robust 3d object recognition.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Model globally, match locally: Efficient and robust 3d object recognition

Reference 14

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raw_fallback, observed 2026-08-08T22:56:54.953741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.847825Z digest=sha256:edf62b01891262e1cefb7e2be6328d08bfb987736e445dec8aac6c5855b182f8

Observation efe88d00-2719-4f18-abab-c3a4cdcab3fa · outbound

This paper cites Acr-pose: Adversarial canonical representation reconstruction network for category level 6d object pose estimation, 2021.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Acr-pose: Adversarial canonical representation reconstruction network for category level 6d object pose estimation, 2021

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.851297Z digest=sha256:1a982fb7b867d0133530310a22606493e1d936c968ae6c28c8aba843171174b1

Observation e74d3fe7-bde1-41bf-bfe7-2d99b2f0ccd6 · outbound

This paper cites Pope: 6-dof promptable pose estimation of any object in any scene with one reference.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Pope: 6-dof promptable pose estimation of any object in any scene with one reference

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.854566Z digest=sha256:65c40da794e580529545a1d6c9bddf4dfc8b6a31561d431795fc961d861b21b7

Observation 816e561f-2b72-47cf-add7-3247ddfdd15d · outbound

This paper cites Category-level 6d object pose estimation in the wild: A semi-supervised learning approach and a new dataset.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Category-level 6d object pose estimation in the wild: A semi-supervised learning approach and a new dataset

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.858151Z digest=sha256:096dfc5eb20b46ff1050f10d999a097c5d1517c30cb5bcdfeee6d30a0342a3e4

Observation 5c302151-7c0f-43d0-a0d7-a95385b6e62b · outbound

This paper cites Polarimetric pose prediction.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Polarimetric pose prediction

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.861712Z digest=sha256:64b5ca0437106131ef35e49118c14dfa3b12d47589595f3eabf35457f3278055

Observation b28a6125-b1b4-4dab-bc82-80551bc9b951 · outbound

This paper cites Zero-shot category-level object pose estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Zero-shot category-level object pose estimation

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.865233Z digest=sha256:c124c0e71a8c77e4194e5a352ee97eac3707f1dae6818a2e0b94d6ae1d264315

Observation e45d1102-dc9c-462e-b27e-33d35b9ca7d1 · outbound

This paper cites Spyropose: Se (3) pyramids for object pose distribution estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Spyropose: Se (3) pyramids for object pose distribution estimation

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.868600Z digest=sha256:74142b11a03a6e6863a0f565c5fd4941be2fa3b44060521abbe213397534b9ae

Observation ec5b9f1e-c8d1-4ac4-bf13-42dc5a955ced · outbound

This paper cites Onepose++: Keypoint-free one- shot object pose estimation without CAD models.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Onepose++: Keypoint-free one- shot object pose estimation without CAD models

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.872236Z digest=sha256:4f89f7adbdcb438d52bea8b4afaca899b7e62f0b3a87b45dc690aa91e4d8d829

Observation 1839d3bc-b3b5-4589-a508-39e274779a7f · outbound

This paper cites Pvn3d: A deep point-wise 3d keypoints voting network for 6dof pose estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Pvn3d: A deep point-wise 3d keypoints voting network for 6dof pose estimation

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.876016Z digest=sha256:8e71b00f7c00d35d19d7ec5ce259a2057c54e300975f932df5ea5bb0213bbe2d

Observation 56fc0cb6-4afc-4365-bf45-d873abe141cf · outbound

This paper cites Ffb6d: A full flow bidirectional fusion network for 6d pose estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Ffb6d: A full flow bidirectional fusion network for 6d pose estimation

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.879671Z digest=sha256:67cf9ea62bfc437d6b1bdd0e59278f229c93b0bdc5334e253aa62a52a1b837c5

Observation 2116eeed-852d-4f63-953f-9ca6c0db9df3 · outbound

This paper cites Bop challenge 2023 on detection segmentation and pose estima- tion of seen and unseen rigid objects.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Bop challenge 2023 on detection segmentation and pose estima- tion of seen and unseen rigid objects

Reference 24

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raw_fallback, observed 2026-08-08T22:56:54.850691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.883034Z digest=sha256:ffe4a2d2dc0d7d5322c1e3964bd7d1620b4095899516a84d56714b811f80c9a0

Observation 295564d6-0ead-40c3-a94f-405132e83e8c · outbound

This paper cites Ssr-2d: semantic 3d scene reconstruction from 2d images.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Ssr-2d: semantic 3d scene reconstruction from 2d images.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 25

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raw_fallback, observed 2026-08-08T22:56:54.840240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.886250Z digest=sha256:1a891a79c75838b60e604ba85428cca39dac429914b20748930a9facd9d9ae29

Observation feeae512-b685-4f6b-8991-0c4fb058c5dc · outbound

This paper cites Matchu: Matching unseen objects for 6d pose estimation from rgb-d images.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Matchu: Matching unseen objects for 6d pose estimation from rgb-d images

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.889770Z digest=sha256:fa0f0e264372f75bfe859bc3c47ed435673ba42d7e3aede6eeeb5c1887d51ded

Observation 52c7c2e5-c775-4323-bc7d-ab6be1fdc2e4 · outbound

This paper cites Centersnap: Single-shot multi-object 3d shape reconstruction and categorical 6d pose and size estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Centersnap: Single-shot multi-object 3d shape reconstruction and categorical 6d pose and size estimation

Reference 27

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raw_fallback, observed 2026-08-08T22:56:54.818875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.893069Z digest=sha256:41b51c41b3e23b509198bfc250383a2ad7ab38b95f86643531a624482ecbf270

Observation 927ac202-13cf-4255-964f-86ceb6e296b5 · outbound

This paper cites Shapo: Im- plicit representations for multi-object shape, appearance, and pose optimization.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Shapo: Im- plicit representations for multi-object shape, appearance, and pose optimization

Reference 28

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raw_fallback, observed 2026-08-08T22:56:54.807539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.896786Z digest=sha256:878435b50b5c4bc97f11e2340048a00efdcee3bfbf6a65b16bf72eacab61dcf9

Observation 5db13923-2ae5-4c90-abed-b89f4c8d1bdc · outbound

This paper cites Housecat6d-a large-scale multi-modal category level 6d object perception dataset with household objects in real- istic scenarios.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Housecat6d-a large-scale multi-modal category level 6d object perception dataset with household objects in real- istic scenarios

Reference 29

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raw_fallback, observed 2026-08-08T22:56:54.796486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.899984Z digest=sha256:18c2a174cbda80135581fc031a3f3093e28025dd8df489a3e6393239c0cdc214

Observation dc65ad18-e4db-4f15-be76-6e82eb08dec8 · outbound

This paper cites Ssd-6d: Making rgb-based 3d detec- tion and 6d pose estimation great again.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Ssd-6d: Making rgb-based 3d detec- tion and 6d pose estimation great again

Reference 30

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raw_fallback, observed 2026-08-08T22:56:54.784161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.903436Z digest=sha256:7a4cb4b00cec2e879847913bee159c591f746950f50468bd38168cf7edfda27a

Observation cbe14d3a-d78a-4152-a155-c65bb058db12 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation 3d gaussian splatting for real-time radiance field rendering

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.907008Z digest=sha256:921a0f0865ddb5360cebd1e39f7daff755a3d26f10de56124758a5f769313bf1

Observation d12c4b63-aa4f-4f41-aea4-1c5aec3c8c4e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Adam: A Method for Stochastic Optimization

Reference 32

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no resolver link, observed 2026-08-08T22:56:53.910290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:56:53.910290Z digest=sha256:5aae4dd2583ec254b4dddfb2fe9575c21223ad6177330a637b2217c385c3ec9e

Observation e492b33f-6390-4ca7-a6e5-6959c0a9bd77 · outbound

This paper cites Cosypose: Consistent multi-view multi-object 6d pose estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Cosypose: Consistent multi-view multi-object 6d pose estimation

Reference 33

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raw_fallback, observed 2026-08-08T22:56:54.761678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.914178Z digest=sha256:5393316a7cb325e3a61927160879207a3bca13ed8fccef56302b3cafe1c7bd72

Observation 7751ac74-99cd-4eb1-b723-10813fc3f41e · outbound

This paper cites MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-08T22:56:53.917416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:56:53.917416Z digest=sha256:0b8514976f2d9f7363a635a6dc30545f205020a9eb18e39132200b772361303b

Observation 9085a06b-fac5-4caa-9179-e5c8b334fdad · outbound

This paper cites Nerf- pose: A first-reconstruct-then-regress approach for weakly- supervised 6d object pose estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Nerf- pose: A first-reconstruct-then-regress approach for weakly- supervised 6d object pose estimation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.750698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.921192Z digest=sha256:be131720344309a4b780edecdc945051ce247c36a32b58b9a1582a7da21d449f

Observation 75ec4908-ce14-4b78-8d5e-d4765eecdb9e · outbound

This paper cites Sar-net: Shape align- ment and recovery network for category-level 6d object pose and size estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Sar-net: Shape align- ment and recovery network for category-level 6d object pose and size estimation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.739681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.925707Z digest=sha256:a46fc2e3fee15430c159ea32f455363e7d75bcdeeae613eab35153e1cf3a63b2

Observation 7f5e6fd8-b9fb-4e6b-99df-d610458c3490 · outbound

This paper cites Dualposenet: Category-level 6d object pose and size estimation using dual pose network with re- fined learning of pose consistency.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Dualposenet: Category-level 6d object pose and size estimation using dual pose network with re- fined learning of pose consistency

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.728312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.929015Z digest=sha256:f3a3a5c67664de1cc8c2acccbe401eccca2c929b04d162681b808479775eb194

Observation 4c44c96e-4368-482f-ae37-d0ac5026b2db · outbound

This paper cites Category-level 6d object pose and size estimation using self- supervised deep prior deformation networks.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Category-level 6d object pose and size estimation using self- supervised deep prior deformation networks

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T22:56:53.932508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:56:53.932508Z digest=sha256:cd39d8346a15f47ea47cb0a05863cd79873bc9e8c1309911755676f25ffbd9f2

Observation 306e3639-045a-4aec-96ea-1ef54bde8f59 · outbound

This paper cites Vi- net: Boosting category-level 6d object pose estimation via learning decoupled rotations on the spherical representations.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Vi- net: Boosting category-level 6d object pose estimation via learning decoupled rotations on the spherical representations

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.710190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.936504Z digest=sha256:dfbaa7e90e42477cfc0ae311edde2c841b70a87b039aae7fa5007af3eb341a5a

Observation 385affee-3e2b-4323-9ad9-d95779700c79 · outbound

This paper cites Sam-6d: Seg- ment anything model meets zero-shot 6d object pose estima- tion.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Sam-6d: Seg- ment anything model meets zero-shot 6d object pose estima- tion

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.699492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.940127Z digest=sha256:6666aafbdd3446b2f3872fa1bdb8188e84646c881d9092a37dac343fc66ddd2e

Observation c06284ed-b263-4196-a610-736ac5d4c9d0 · outbound

This paper cites Instance-adaptive and geometric-aware keypoint learning for category-level 6d object pose estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Instance-adaptive and geometric-aware keypoint learning for category-level 6d object pose estimation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.689098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.943540Z digest=sha256:d0fd8e1d64dbfe32d4467a4c40735ba7295a4b363613052c16a2da1cc2abe18e

Observation b4503831-02a8-423d-b1c7-86954d38f8d8 · outbound

This paper cites Ist-net: Prior-free category-level pose estimation with im- plicit space transformation, 2023.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Ist-net: Prior-free category-level pose estimation with im- plicit space transformation, 2023

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.678891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.947008Z digest=sha256:5c413f3c614836f1b60563f6302f87b1940371acbba80448fd2fad88ae927006

Observation ff5f5e29-2ed0-45a9-8d43-72cf005a16db · outbound

This paper cites Representing shape collections with alignment- aware linear models, 2021.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Representing shape collections with alignment- aware linear models, 2021

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.668533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.950434Z digest=sha256:c8aa30ede2bebfd79c3dae724ad35076223cef902d39683760b30ecf4dbcbe8d

Observation d429ec77-2c9b-4526-860f-0a93513cf96f · outbound

This paper cites Explaining the ambiguity of object detection and 6d pose from visual data.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Explaining the ambiguity of object detection and 6d pose from visual data

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.658574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.954019Z digest=sha256:2e19ada9d1776a8135ac4845fe80de023d2d193fea645597b54ae21038db4b8e

Observation fff29d32-2927-4beb-af23-11cd2e37ad52 · outbound

This paper cites CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-08T22:56:54.167888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.957444Z digest=sha256:ab1b115793b0f91e71f582e08ad7513d81d3581b0d87d7ec09bdd2fd9f568baf

Observation 8ec660c7-ad46-423c-bd2c-969af1dfbaf2 · outbound

This paper cites Nope: Novel object pose estimation from a single image.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Nope: Novel object pose estimation from a single image

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.648730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.961381Z digest=sha256:f8b26fb8654c6204bf99bb605b9dbc90c342b02486ec9db1ceacd71583a85737

Observation 7e7ff6ca-e251-4f3f-9134-472e43ab63b8 · outbound

This paper cites Gigapose: Fast and robust novel object pose estimation via one correspondence.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Gigapose: Fast and robust novel object pose estimation via one correspondence

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.638857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.964765Z digest=sha256:6591ea0d8753e16d3deea7564d4b89874774dc3c352a27baf7025aef532b4c32

Observation 99816405-8ce0-4dcf-b87f-6656311848fd · outbound

This paper cites an unresolved cited work.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-08T22:56:54.628689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.968298Z digest=sha256:069840750d59e0bbb8c594ad9c6f3b793b30e1b167a8e8afe47be9495d2f1425

Observation a356efe1-f56a-4c6c-a530-f0ee1dcff81f · outbound

This paper cites Foundpose: Unseen object pose estimation with foundation features.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Foundpose: Unseen object pose estimation with foundation features

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.618160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.971827Z digest=sha256:3eee112bc390afc8978d9863e5af19923c8f29adba63081e00989b753473cbbc

Observation 43272af1-a7e3-4812-8f55-13bde3fb7325 · outbound

This paper cites Pvnet: Pixel-wise voting network for 6dof pose estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Pvnet: Pixel-wise voting network for 6dof pose estimation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.607391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.975348Z digest=sha256:1954fcefaf991961f13df561dac1655fd3ac4d961d9bcb142938b481d4ae501b

Observation 63d00ed9-33fe-44ad-bec7-361f9e39c7e3 · outbound

This paper cites PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-08T22:56:53.978964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:56:53.978964Z digest=sha256:4b6de8ec0603b832aeb3f5eaee6130d75df35da63ac797b8ee733649f68beca8

Observation 2b612b20-092a-4cd1-bf6e-a9028c70b709 · outbound

This paper cites Geotransformer: Fast and robust point cloud registration with geometric trans- former.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Geotransformer: Fast and robust point cloud registration with geometric trans- former

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.596954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.982900Z digest=sha256:7ab4aa8f2592de07439dbb052420c79d318a3fbfe54d3105b989f69ee9d197cf

Observation dc458ec9-0432-4ff4-86b9-199cb375cf70 · outbound

This paper cites i2c-net: Using instance-level neural networks for monocular category-level 6d pose estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation i2c-net: Using instance-level neural networks for monocular category-level 6d pose estimation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.585509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.986220Z digest=sha256:ef5aacf29fbbcc7d9bf5a6c928ba66c5a96d9c21da922c1548c2b7fedded6598

Observation ac9278e0-b95e-4cda-904e-fa0ec42d96e1 · outbound

This paper cites S2 p3: Self-supervised polarimetric pose predic- tion.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation S2 p3: Self-supervised polarimetric pose predic- tion

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.574790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.989870Z digest=sha256:6af2d133441821882a760981ed6c7f77489325b64e25969a315971884c9a5316

Observation 36660ca9-2cdf-4385-b2a3-8530e93ffb72 · outbound

This paper cites Stablepose: Learning 6d object poses from geometrically stable patches.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Stablepose: Learning 6d object poses from geometrically stable patches

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.564332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.993438Z digest=sha256:0602e3af52ae9248a38fd17c27f075c6c604f6d3e76852e50520207a196dabd8

Observation 866a425c-df2e-4990-ac9b-a6815ad2ff1e · outbound

This paper cites Osop: A multi-stage one shot object pose estimation frame- work.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Osop: A multi-stage one shot object pose estimation frame- work

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.553744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:53.996936Z digest=sha256:b420c8b87b34f0751877e38a4569c2e4b99a5ee095a3df1e7a98167f85fc8acc

Observation 8681720f-949a-4f77-8f0a-ae4f6ff08fd8 · outbound

This paper cites Cyclical learning rates for training neural networks.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Cyclical learning rates for training neural networks

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.543587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.000560Z digest=sha256:b5e3db537f7a96a8b52b40197b1e387ce2b5efbc9d9ae959d3a365f4a028798a

Observation 89aea565-76d7-4317-b032-759ad40e745f · outbound

This paper cites Zebrapose: Coarse to fine surface encod- ing for 6dof object pose estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Zebrapose: Coarse to fine surface encod- ing for 6dof object pose estimation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.532595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.004272Z digest=sha256:8b22394b78aa25a209109c48391005f6a41e16b3584fb098507f42894e9b9859

Observation 5177366a-59ce-41b9-80e9-a5e37b09cd91 · outbound

This paper cites Onepose: One-shot object pose estimation without cad mod- els.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Onepose: One-shot object pose estimation without cad mod- els

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.521907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.007831Z digest=sha256:ba0067e833c9138304c64aee7a5fd1cf8bc24d882047564fcf19ee1530169e3a

Observation 58ebe91b-b807-4a04-a635-d850efed6821 · outbound

This paper cites Implicit 3d orientation learning for 6d object detection from rgb images.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Implicit 3d orientation learning for 6d object detection from rgb images

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.511390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.011700Z digest=sha256:65b14edf9baec14497f7e10bd842ef3f8ce516e762e5aa045c4c7d8772c98171

Observation 861a4166-d804-4d40-8628-55851603e103 · outbound

This paper cites Shape prior deformation for categorical 6d object pose and size estima- tion.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Shape prior deformation for categorical 6d object pose and size estima- tion

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.500871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.015653Z digest=sha256:668f0d52054fbbb02d7566909bdf8f8198aaa4c91b202575f3fd601400cc1bec

Observation 336947e6-6bca-4b37-b142-de3622079690 · outbound

This paper cites Least-squares estimation of transformation parameters between two point patterns.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Least-squares estimation of transformation parameters between two point patterns

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.490490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.019246Z digest=sha256:53e285477f93464a86d1f061b2778f9bcaabce0da251200bc1241590cf174009

Observation 82a5aa5f-9dd0-4bf7-83cf-706ff4d7e277 · outbound

This paper cites Alignist: Cad- informed orientation distribution estimation by fusing shape and correspondences.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Alignist: Cad- informed orientation distribution estimation by fusing shape and correspondences

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.479934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.023006Z digest=sha256:9f8ea7c0870e95d8d3fd45ad557cc105de167db0df2f34394cef9d24ebc049b6

Observation 7a35f3aa-739e-4027-b066-e5e17c6c70d7 · outbound

This paper cites Densefusion: 6d object pose estimation by iterative dense fusion.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Densefusion: 6d object pose estimation by iterative dense fusion

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.469265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.026621Z digest=sha256:0a99816f1030d5a25002baa874d6cba6c87d766171b70c0e135670e35f795037

Observation 08c0dbf3-696b-4a74-91af-c7d033656513 · outbound

This paper cites GDR-Net: Geometry-guided direct regres- sion network for monocular 6d object pose estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation GDR-Net: Geometry-guided direct regres- sion network for monocular 6d object pose estimation

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.459436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.029998Z digest=sha256:42bfc2644f0f8339f398fd41f05c6b9241d133fcc14132eea6789a6a37e7b370

Observation 7f373f5a-1728-4b33-9484-3393d58bdbac · outbound

This paper cites an unresolved cited work.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-08T22:56:54.449166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.033601Z digest=sha256:17588f7ea495738825341c8c88f1993f7245bc836c89946a80fa07aff71b5478

Observation ca664f81-a379-490c-ad81-23d1386931a0 · outbound

This paper cites Category-level 6d object pose estimation via cascaded relation and recurrent recon- struction networks.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Category-level 6d object pose estimation via cascaded relation and recurrent recon- struction networks

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.439246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.037102Z digest=sha256:138423722298e50e4b3490a3d0d7328cc5a2ee29bb7ec32754263bde821ac079

Observation d058ed46-e112-4bfb-b404-2a93378fe647 · outbound

This paper cites Crocps: Addressing photo- metric challenges in self-supervised category-level 6d object poses with cross-modal learning.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Crocps: Addressing photo- metric challenges in self-supervised category-level 6d object poses with cross-modal learning

Reference 68

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.041196Z digest=sha256:1d028e4a90202d5e6d203bc77f048ecdb2d606ba17764829acfd9b6a8eab6fe2

Observation 075b7a94-568d-4668-aa29-95088f2b6054 · outbound

This paper cites Phocal: A multi- modal dataset for category-level object pose estimation with photometrically challenging objects.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Phocal: A multi- modal dataset for category-level object pose estimation with photometrically challenging objects

Reference 69

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verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.417346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.044882Z digest=sha256:e3b464ff0c1d2beb3bb8a948023f6d346f947141e84ad65984ae786e413bcfc5

Observation f8599989-c785-4e52-8f62-8da0fef0e375 · outbound

This paper cites Improving self-supervised learning of transparent category poses with language guid- ance and implicit physical constraints.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Improving self-supervised learning of transparent category poses with language guid- ance and implicit physical constraints

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.406939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.048485Z digest=sha256:2067fd4709a2ab76a5c51cfe99efd212ef99d7614fc068417884282aa63c947f

Observation bbdb69bf-a6c8-4d91-af7e-a53b4b08deb8 · outbound

This paper cites Gs-pose: Category-level object pose estimation via geometric and semantic correspondence.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Gs-pose: Category-level object pose estimation via geometric and semantic correspondence

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.395986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.052237Z digest=sha256:51b5ce8f0d72c00550d0868577a59948ad484e9eaea5dfee937ca33931e832ec

Observation b3a5acab-b7ab-4bb7-8dd4-7c9dccc1de0a · outbound

This paper cites Query6dof: Learning sparse queries as implicit shape prior for category-level 6dof pose estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Query6dof: Learning sparse queries as implicit shape prior for category-level 6dof pose estimation

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.385181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.055864Z digest=sha256:6ee264e4d87c944cd30a14c423bbe043194f1e8d6c57af7a63fdc349d2672b8e

Observation 41594cb5-58e6-4cf6-977f-720da246ddad · outbound

This paper cites Foundationpose: Unified 6d pose estimation and tracking of novel objects.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Foundationpose: Unified 6d pose estimation and tracking of novel objects

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.374961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.059465Z digest=sha256:0d1ae02373533c9b84fc64a454a98098f33c4761a2ff94a2a0ae1b56a312be4f

Observation b09139d7-9d66-44e3-9a36-68f767e91c40 · outbound

This paper cites PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-08T22:56:54.062927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:56:54.062927Z digest=sha256:3e6b420bac18c0958cd3e6d413fb4d255d9a6a7b3e3f4c08866f3376fb62de35

Observation c206cdb2-4430-4f84-9d48-c4426d51affc · outbound

This paper cites Sparp: Fast 3d object reconstruction and pose estimation from sparse views.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Sparp: Fast 3d object reconstruction and pose estimation from sparse views

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.363855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.066657Z digest=sha256:4c3b8cfcac99cf21da32c6debf9301ba4cca49a87f0e6af9caab1ee45d04bc4a

Observation 14982e30-2b29-4838-af2e-e8b9a72b41a8 · outbound

This paper cites Rotation-invariant transformer for point cloud matching.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Rotation-invariant transformer for point cloud matching

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.353561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.070386Z digest=sha256:de98bf805b1f3e6710aae0f28aefc84eead600e39e1dc64a10318339435de1e6

Observation 27521648-e27a-49cb-8ad7-e19b030dca12 · outbound

This paper cites Riga: Rotation- invariant and globally-aware descriptors for point cloud regis- tration.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Riga: Rotation- invariant and globally-aware descriptors for point cloud regis- tration

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.342698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.073767Z digest=sha256:1ee19aad6af23e185408aad0f94795ee949daecf947345c422bac6e7ed57a50c

Observation 24e1e046-a3c8-45a4-b9d5-aee933469a4c · outbound

This paper cites Dpod: 6d pose object detector and refiner.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Dpod: 6d pose object detector and refiner

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.332003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.077251Z digest=sha256:dd30c43d845c0db56f9b781af845a3e7a950aedea5a8d98cf7f548e4948894bf

Observation a9965e3f-6022-40b6-85ad-4ed8d9467d1a · outbound

This paper cites Generative category-level object pose estimation via diffusion models.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Generative category-level object pose estimation via diffusion models

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.321737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.080781Z digest=sha256:ab442356311e764f17474e3b0371db375777786cc812eb0bdb47f4bc31452453

Observation 1510dc71-9968-48f6-a968-28a52d9eb141 · outbound

This paper cites Rbp-pose: Residual bound- ing box projection for category-level pose estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Rbp-pose: Residual bound- ing box projection for category-level pose estimation

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.311232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.084328Z digest=sha256:79d7a379e2814ec85aa856a1e3ff248a6927e8cf75d25e95449a7b75dae675a5

Observation ca669e52-0003-4bba-b196-fc5904314970 · outbound

This paper cites Hs-pose: Hybrid scope feature extraction for category-level object pose estimation.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Hs-pose: Hybrid scope feature extraction for category-level object pose estimation

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.299354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.087820Z digest=sha256:5d85409e3e73282cb5d784e070063dd9d4b31d0226fdaa55dc4ba3f6925c9743

Observation fd6d3ca8-7bb3-4e36-b7c3-88ab0103b8c9 · outbound

This paper cites On the continuity of rotation representations in neural networks.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation On the continuity of rotation representations in neural networks

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.288034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d8c1b855-1426-441e-aa27-909504718f38 · outbound

This paper cites We document more implementation details about GCE-Pose.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation We document more implementation details about GCE-Pose

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.276201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.094815Z digest=sha256:2356e94c3a437fd721244a886976c4b2d6ee3c88947611f2784fce0cf865c68a

Observation d87cf041-5b43-4459-920d-0bd294302ffc · outbound

This paper cites We measure the Chamfer distance between our reconstructed pointclouds and the ground-truth pointclouds sampled from the CAD model in NOCS space.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation We measure the Chamfer distance between our reconstructed pointclouds and the ground-truth pointclouds sampled from the CAD model in NOCS space

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.264519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.099165Z digest=sha256:e435b30a2910905af8146ccf03a6a8a8b0ed4d38bff0a8a78ac58ca3facefaae

Observation ba34b6a7-b0a4-439f-a996-11d709f544c0 · outbound

This paper cites an unresolved cited work.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-08T22:56:54.252819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.102839Z digest=sha256:30e110c8b0bfbeab0df0078345d071be3c270a2937aa352c8db08d422fcd75d8

Observation eb3a4c0e-a29a-4d58-b0e4-83a125525857 · outbound

This paper cites an unresolved cited work.

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-08-08T22:56:54.239746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:56:54.106479Z digest=sha256:d77b31edf8c2ad0d36f5454f9e7c5a3db9d6e762ddbe797e038d66513fad09dc

Pith citing papers

Observation 4e4c0c53-eb8a-45d2-8501-b190fe9b6ddb · inbound

CleanPose: Category-Level Object Pose Estimation via Causal Learning and Knowledge Distillation cites this paper.

CleanPose: Category-Level Object Pose Estimation via Causal Learning and Knowledge Distillation GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T15:46:51.619868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:46:51.619868Z digest=sha256:4ac7e4b0514da89e579a1fb8e25bdb8cd3f7e1a3c1650a3bb6152d3c15dbe5f3

Observation 80756c5d-62a7-4a3c-87e7-f77764e8ebf2 · inbound

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models cites this paper.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:47:08.842204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:47:07.350292Z digest=sha256:29011457ac6a0658cc76535f75a2befa2b816d2847fa2013b6be87edf7c58ceb