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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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=pdf_text observed=2026-08-08T22:56:53.805072Z digest=sha256:520c869012f960fd745f57be6b53c3d66059ff4d729aefbc78e778b2704f1b1d

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=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

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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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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.825206Z digest=sha256:ad18af748560b0ada2e70c08c8a4d99ce2bb5d950a63d37e8e6ecd6b505c7765

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:d1614d4f2ed734dc01e214c150f9e271f47a28d079e60b6f39c2b0cb46fcccaa

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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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.836531Z digest=sha256:6334e580de1bf327100e7359d62aed55f1318941f9157fcd05b0823d124da5b7

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.840406Z digest=sha256:b6939ee74842638c686c0384f4bdc23f3490c76cc0643a92651bed7e83d8d11b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.844297Z digest=sha256:c457d6e113aff07f4ffa93cebe46c31fd4da00b414c2cdb1fe3bb07c4c2d414c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.847825Z digest=sha256:f256d084cbb39928dd40d78a4f7aadf166576c1e9f1d08320ec9f939661d3fea

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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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.851297Z digest=sha256:e768868b7c9e758ac71124fb460f44157224530a36b4cf76cf207f667bc04403

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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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.854566Z digest=sha256:de847105ceea569c206e31f4ef22b68c706d37389790810b4d902a47b88a3cf7

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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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.858151Z digest=sha256:f4702c985fdf2e865938abca91ede5d18eea3d1bc4cc0e7e4eb50d5d75b4bb7d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.861712Z digest=sha256:5b3f15ea0df7c81d72dc409f4033e5f6efb58a0cf0a403a89a2e5eb922907cb5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.865233Z digest=sha256:2dd134c6c9eee86dad9e67f994db478bbd69057ea246b0c944df93ba0fa92b25

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.868600Z digest=sha256:a01fab15f95efc9cd825b665ec2779ad9beb9cbecee981decbeb54c0271b4b50

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.872236Z digest=sha256:8517a3b3670bcd3b4402624592f5e0ce1bf45e5dae6c96a1224ea774b4e30030

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.876016Z digest=sha256:b997546f816821597fbb4a48ee3314043bc4b106e3e3e5e831cbbae4291f905d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.879671Z digest=sha256:3bf9569c287870fbf5e31820e06bf2fd3f1a7ed1982b2b9e95692c15220a4063

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.883034Z digest=sha256:a2573780b8867ba8e318c5aaabf5bae6b44a03ac4d4e00d2af0a1e28f9c3dce3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.886250Z digest=sha256:89f6a9d435aca952b23e7d22bd0851a7fb45314240571ec339e5e50f23297b7e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.889770Z digest=sha256:45f9ae7ff684aeed68697ff2bce9be5b3936b80f2c954a1f4863327b185f4f75

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.893069Z digest=sha256:5d860b5d131924fe3d3863a08d817d7c0f1f37928d2afb071fe7c5efd40fe3d9

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.896786Z digest=sha256:4a57231a42bafc8a63f83b2ea5d741844a91397c3b42d6db6c8ac6642d65d7ad

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.899984Z digest=sha256:21cce86348142e0a60e60c029c454895cf24258545bad14830e7a30560640d60

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.903436Z digest=sha256:9d5eb4aeb4c2710a347be01040603addffaa74dd49d4f167b5bf4202821d8205

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.907008Z digest=sha256:c02130ae145f08c52dec930d63df3380855b84bfac81f8fa8ecafb8885c4ff8b

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:56:53.910290Z digest=sha256:f6e7eb3ed2d02f3089b913936042761f36d4e7e699e54f5a4689f98ec5555f8a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.914178Z digest=sha256:2a9bf3f90bf14728927d591c36337307fef8f962e31528fa511d8cd89cfa9589

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=sha256:5618795abed79b6df9866ff1982467d44b6ce2038adec1f79fc18e901189c7ff

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.921192Z digest=sha256:1a025ca3280bd43eb9dfcd8ef27a238be36fae70da74d8cbce6e393ca5b1b033

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.925707Z digest=sha256:3477a76eb0cec63f6c334a42d1043bbebf43fc444f7a8115d2825b61e0786f3d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.929015Z digest=sha256:e0956ecc73ee7eb7fa1bc7db58deaea10693e75c7933fe89b8a1c2d60b2fd87d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.936504Z digest=sha256:6eee209abb701b9fa6a01148397988a54bd25294d4b22f634123ec56eb60832b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.940127Z digest=sha256:c24392fd3ee8d23c2df197b727c74037070f63b81368d7d94d4e6eafe396e2e9

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.943540Z digest=sha256:05ab1bdc5dadc45d5b1c4f8b1331092e3bde28c92746de00dd38a38f37677e77

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.947008Z digest=sha256:ed003b2e5b99f3af0b2a8d6a0c8c0e9f0c0f72392f27e0ca2496c1585e7345ce

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.950434Z digest=sha256:133e7028828ec47dee6c2add091c02489b4508b35b5bc9e1bd60c825a68f8276

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.954019Z digest=sha256:45b911fc593cb8204a13c84f40a1e1f7ce8b249726c20999fc58d5013ff73ed7

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.957444Z digest=sha256:f249d0c9ecb251cd1be329f7718e306798c1385f47005ce90808b200e58d06b2

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.961381Z digest=sha256:555b63d42c99ded50ce47c7aa8559393396179c72d01855a7df97914b64bd067

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.964765Z digest=sha256:85f447f79efdd98eeb8c86728330b51803e510c6535970229221705f933a7cd1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.968298Z digest=sha256:9b11415d113e9ccb73664612d09acc58d28c48130d984804dc07964005d5d507

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.971827Z digest=sha256:50721311e7eacfc3ab5e612b8e1718dd649f60585912a5fd297ce87882d7b240

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.975348Z digest=sha256:15bf1365b2a1ff8777f90ca87b01858f466f9203475e3e533da075ba865a9dd2

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=sha256:116c6d1d6be2f78ab66df90ce256b07ee978756099207e6f02e8da7912a09c97

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.982900Z digest=sha256:105dba0ba37e2de591f516226546bb8d61a99ff589a12939a543aa35a3af5fac

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.986220Z digest=sha256:69939df70da1903ce88c86df0f0578d3c5443440b50eb584cdcd65f16ed1c24f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.989870Z digest=sha256:a0eac6264b5af998018f772fdfbbcb23f9eeef3c6319e45bd1519ba035f38331

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.993438Z digest=sha256:ecdaa2c2b10ba309ed9136c425c6d4b441071d96a4a706d65d3667b1c920bf33

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:53.996936Z digest=sha256:1cf90d5954891ddb927f0c7d27dcc4bf134b5685c54da1750fbd4d656bb71986

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.000560Z digest=sha256:e4aa38a659e1f0ef43b8f6075147e5e9424d7f1459e9687d2232975999bebed6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.004272Z digest=sha256:6026fb5cfbe4f9eb162e4d14783f0a452845472c7a9a1b6b95e477bf5dc01163

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.007831Z digest=sha256:cda2254309a7e646e4fe33525e97a1a227aa086637702d62b1ebf223485d7f3b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.011700Z digest=sha256:85cbfa44b399c067fb3ccc34f1957ec86a1d911f2d1b9d81c1fa07e3df9fd7af

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.015653Z digest=sha256:8e197c6cdc7d1b72cabd6b6ad5dd285d35bfc058d4e9e3b6d6f74fe59b8e77df

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.019246Z digest=sha256:5c9c843108df40c442b38447699d72d2da67094d20c1952c44417aa803b4a652

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.023006Z digest=sha256:a00a12a14b04c5dffc711734860e86c579ff47220e7fda6155d3475462316c00

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.026621Z digest=sha256:0f6dd680421cf1f4ab06f3eda93802e8b9141348216608866a4f3ef04e295152

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.029998Z digest=sha256:fac7c216ca3ff1290834b4c4f7525b982e03edc19186ee45f4ed540905b57d3a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.033601Z digest=sha256:fd971f93897fee2bf6e82bb41ce2217cb1a11c36b3d221588850fadebcb10cb0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.037102Z digest=sha256:710a9e0c6740621eea2f07d416eec5be4484c356861555d7e21bf30df5013360

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:56:54.428988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.041196Z digest=sha256:23f84b6b14eebdaadf12ff4475fc22e8b6ffb2f29e9778a0307ec7399f20c9ac

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

Resolution
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.044882Z digest=sha256:e3d214d233140fd23f106d56250e6dd88f2c1f9390c1a23e81a05726dc707552

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.048485Z digest=sha256:a7816ab7837a16abf0af95fd83bd3d9147304960472f3ef88d0eaa291e149830

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.052237Z digest=sha256:9c299c212f3e7d182e039dd460e3096a76ba7d59ab57b3af834e16b25fc7c04e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.055864Z digest=sha256:54ee37966c3a61e5a220a4b2101f945a19b51efd480226b8ca0b670a24ec349d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.059465Z digest=sha256:352d7e0cf0af7c4bdb3dd182f97ba394e285261601c2d4ef51f2ed90c3d99ebd

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:b93bbe79169f1e18b0868ccbfc68ab06085fdaa780bd5e74b1aa2efb5ef5b491

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.066657Z digest=sha256:de2b1750301766b04fd577e72904f83f43e4d15787fa353ad2b2b649271fc017

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.070386Z digest=sha256:6bbfd7e418d8688445e699293d0f23c1dad96c8ad7e49191d672ac320e08abde

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.073767Z digest=sha256:5306ea4c7c4134bdcbd234fce043b3d05c8e051d019e9c643a5ab419ad6df807

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.077251Z digest=sha256:82cb541f2cb7f595bdc90a1b7ac33e9e7c3d8d6105faf54e694a9b5732485930

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.080781Z digest=sha256:1f00b690770e1955f05868258ea73de035c353cf14f33ec37a08c89a5b3b037a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.084328Z digest=sha256:da6a71105db23f18d925bdf3b78eeaade2cd47c53f974a0ff944f8cddc49f822

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.087820Z digest=sha256:782d628d1dd488cba48ae240f090fbc3537eee2310e592719e564a2f4f56c1ba

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.091407Z digest=sha256:31f78d63f14a791f941b7d8b0efa3ca5c4e8a1a5ef167616ec5be8e8d6184a8e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.094815Z digest=sha256:772423e3161d07a291d06f6993f1c09bfa90faa1f1e32ced14743989ea09f72d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.099165Z digest=sha256:befd2ddc78f27b6532186ab22ee08e545026559e63ded90d5fe019c6da785907

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.102839Z digest=sha256:12a48d82f469a067512a9132f6d619aa5ad8788113b5940ee17ac527f1fbc8a8

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T22:56:54.106479Z digest=sha256:a4faefcbf2dd36877f10cf99f3c5dd153d4e35411dbb2daf6e076813b5d74659

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=sha256:28a090c60d86dc7a8420d91bac20c4a0d3b2bdb87e985e1ac589227a74a52dda

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:47:07.350292Z digest=sha256:c448ecc09be7bc67b17e85058fdca1de183c89f1ea0c1eba6fc689a1c32547d8