GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation | Paper Citation Record

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

Resolution: unresolved; no resolver link, observed 2026-08-08T22:56:53.796493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-08T22:56:53.801227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-08T22:56:53.805072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-08T22:56:53.809644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-08T22:56:53.813454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-08T22:56:53.817444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-08T22:56:53.821500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:56:54.995229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:56:54.984758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:56:54.974341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified exact; 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 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:56:54.964154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; 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 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:56:54.943667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:56:54.933436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:56:54.922720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:56:54.912687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:56:54.902785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:56:54.892399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:56:54.882163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:56:54.871399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:56:54.861051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; 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 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; 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 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:56:54.829483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; 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 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; 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 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; 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 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; 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 2026-08-12T06:34:41.77262+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:56:54.772345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; 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 2026-08-12T06:34:41.77262+00:00.

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.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers