RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects | Paper Citation Record

Observation fb3cc1dd-caf5-482c-905b-03612adce6d9 · outbound

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

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Zs6d: Zero-shot 6d object pose estimation using vision transformers

Reference 1

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Observation ef2c87a9-29f7-45c7-b333-45932bdb507e · outbound

This paper cites A stereo vision approach for cooperative robotic movement therapy.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects A stereo vision approach for cooperative robotic movement therapy

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.360419Z

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Observation 08647f69-29b3-4fd9-9d51-a6f6f0a99125 · outbound

This paper cites Reconstruct locally, localize glob- ally: A model free method for object pose estimation.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Reconstruct locally, localize glob- ally: A model free method for object pose estimation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.351710Z

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Observation d19674bc-674d-4e63-a08c-59315be225e7 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects ShapeNet: An Information-Rich 3D Model Repository

Reference 4

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Observation b3161c95-0c71-4560-bdab-42198ad96255 · outbound

This paper cites Multi-view 3d object detection network for autonomous driving.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Multi-view 3d object detection network for autonomous driving

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:07:13.847780Z

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Observation 547c308b-f643-43f3-8151-a164eff6472a · outbound

This paper cites Category level object pose estimation via neu- ral analysis-by-synthesis.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Category level object pose estimation via neu- ral analysis-by-synthesis

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.336471Z

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Observation cc4e100a-7163-425d-b840-9ca05db74bc5 · outbound

This paper cites So-pose: Exploiting self- occlusion for direct 6d pose estimation.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects So-pose: Exploiting self- occlusion for direct 6d pose estimation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.327371Z

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Observation 253850b8-8a4d-4763-8124-11c4bf11157f · outbound

This paper cites Flownet: Learning optical flow with convolutional networks.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Flownet: Learning optical flow with convolutional networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:07:13.856510Z

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Observation b1ec83a6-96fb-478a-a6be-8c4112a90cad · outbound

This paper cites Google scanned objects: A high- quality dataset of 3d scanned household items.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Google scanned objects: A high- quality dataset of 3d scanned household items

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:07:13.859857Z

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Observation 3516ae15-fb99-42c2-ad22-511948190df7 · outbound

This paper cites Shape- constraint recurrent flow for 6d object pose estimation.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Shape- constraint recurrent flow for 6d object pose estimation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.307578Z

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Observation f57ddcd9-a0c1-48d2-9aa9-e83ce1c463fc · outbound

This paper cites Epos: Esti- mating 6d pose of objects with symmetries.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Epos: Esti- mating 6d pose of objects with symmetries

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.298907Z

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Observation 20be4887-d900-462f-abf2-e701d8f29ca7 · outbound

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

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Bop challenge 2023 on detection segmentation and pose estimation of seen and unseen rigid objects

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.290184Z

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Observation af281030-ea5d-474a-be0e-c0a4c16f5063 · outbound

This paper cites Perspective flow aggregation for data-limited 6d object pose estimation.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Perspective flow aggregation for data-limited 6d object pose estimation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.282241Z

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Observation aaa7c25c-5780-4c77-90a0-70bfb3b895f7 · outbound

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

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Cosypose: Consistent multi-view multi-object 6d pose estimation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.274170Z

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Observation 7b6df7a5-6225-436a-b21e-2f867557a78b · outbound

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

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:07:13.876429Z

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Observation 165b32b9-af39-4a16-8b84-dfae270cd8fb · outbound

This paper cites Ep n p: An accurate o (n) solution to the p n p problem.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Ep n p: An accurate o (n) solution to the p n p problem

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.265977Z

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Observation 4a834090-818f-4d39-8978-7410d85c9347 · outbound

This paper cites Polarmesh: A star-convex 3d shape approximation for object pose estimation.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Polarmesh: A star-convex 3d shape approximation for object pose estimation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.257945Z

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Observation 05950cf4-154e-44b3-8769-09a9634e77ec · outbound

This paper cites Deepim: Deep iterative matching for 6d pose estimation.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Deepim: Deep iterative matching for 6d pose estimation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.247994Z

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Observation cfed7404-86a0-4d3d-9b34-8c24ded38dcb · outbound

This paper cites Cdpn: Coordinates-based disentangled pose network for real-time rgb-based 6-dof object pose estimation.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Cdpn: Coordinates-based disentangled pose network for real-time rgb-based 6-dof object pose estimation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.239206Z

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Observation aa6ff43a-c24b-4309-a8be-56e6b991de5f · outbound

This paper cites Checkerpose: Progressive dense keypoint localization for object pose estimation with graph neural network.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Checkerpose: Progressive dense keypoint localization for object pose estimation with graph neural network

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.230229Z

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Observation 305e06f7-df4d-4fc0-a2b4-2a0fcb77f1d8 · outbound

This paper cites Decoupled Weight Decay Regularization.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Decoupled Weight Decay Regularization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T21:07:13.892716Z

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Observation be783178-05b9-477d-b3a9-ca4cf41762c0 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T21:07:13.895412Z

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Observation 51137bd8-b8ae-4fa0-9784-fd8be0308525 · outbound

This paper cites Roi- 10d: Monocular lifting of 2d detection to 6d pose and met- ric shape.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Roi- 10d: Monocular lifting of 2d detection to 6d pose and met- ric shape

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.221524Z

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Observation 0b642b57-8d38-438e-b18f-dad8c6ed4950 · outbound

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

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T21:07:13.900832Z

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Observation e722f7de-6b8b-4cc3-b435-22b468662355 · outbound

This paper cites Pose estimation for augmented reality: a hands-on survey.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Pose estimation for augmented reality: a hands-on survey

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.212615Z

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Observation 981d19ca-0757-4112-8a3d-02eafd8c3869 · outbound

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

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T21:07:13.906838Z

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Observation 64f86e24-d5f5-4d37-b1f8-d4d7f1ecd848 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T21:07:13.909465Z

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Observation 2e1c12a9-3178-4a9a-8615-981e33f77167 · outbound

This paper cites Genflow: Generalizable recurrent flow for 6d pose refinement of novel objects.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Genflow: Generalizable recurrent flow for 6d pose refinement of novel objects

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.193416Z

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Observation 54f6593d-4776-403f-a317-0c9352eaa5f4 · outbound

This paper cites Cnos: A strong base- line for cad-based novel object segmentation.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Cnos: A strong base- line for cad-based novel object segmentation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.185081Z

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Observation a528b045-61ec-4538-b377-b841b464b22a · outbound

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

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Gigapose: Fast and robust novel object pose estimation via one correspondence

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.177090Z

Source-reported events for the cited work

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Observation 67faae26-6bb8-4438-aae4-7c1609ad22e9 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects DINOv2: Learning Robust Visual Features without Supervision

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T21:07:13.920219Z

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Observation 49c410ed-663a-4e18-8e46-ff79858875a5 · outbound

This paper cites Found- pose: Unseen object pose estimation with foundation fea- tures.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Found- pose: Unseen object pose estimation with foundation fea- tures

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.168887Z

Source-reported events for the cited work

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Observation cbb127fa-1778-4cf3-bdab-28d1f27b8e98 · outbound

This paper cites Dprost: Dynamic projec- tive spatial transformer network for 6d pose estimation.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Dprost: Dynamic projec- tive spatial transformer network for 6d pose estimation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.159870Z

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Observation da92ad0b-3844-4570-bfc1-dcde23bb0ada · outbound

This paper cites Leveraging Positional Encoding for Robust Multi-Reference-Based Object 6D Pose Estimation.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Leveraging Positional Encoding for Robust Multi-Reference-Based Object 6D Pose Estimation

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:07:13.989466Z

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Observation 20fbf846-e43c-405d-9f98-4c263232cf18 · outbound

This paper cites Pix2pose: Pixel-wise coordinate regression of objects for 6d pose esti- mation.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Pix2pose: Pixel-wise coordinate regression of objects for 6d pose esti- mation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.150812Z

Source-reported events for the cited work

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Observation 8577519e-c537-4287-8f07-aec7bc0138f9 · outbound

This paper cites Robot guidance using ma- chine vision techniques in industrial environments: A com- parative review.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Robot guidance using ma- chine vision techniques in industrial environments: A com- parative review

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.141928Z

Source-reported events for the cited work

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Observation 10fe2aa8-ebf2-4e61-abac-385a2748be96 · outbound

This paper cites Bb8: A scalable, accu- rate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Bb8: A scalable, accu- rate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.133030Z

Source-reported events for the cited work

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Observation 172737c5-9d14-46bd-890c-eebb213e6e3d · outbound

This paper cites 6dof object tracking based on 3d scans for augmented reality remote live support.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects 6dof object tracking based on 3d scans for augmented reality remote live support

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.123316Z

Source-reported events for the cited work

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

Observation 16692dbe-3b6b-4186-8f4c-fccef1d5da74 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects U- net: Convolutional networks for biomedical image segmen- tation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T21:07:13.942167Z

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Observation 0d315642-fdda-4c38-887d-e30ecf761b33 · outbound

This paper cites Binary cross entropy with deep learning technique for image classification.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Binary cross entropy with deep learning technique for image classification

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.109032Z

Source-reported events for the cited work

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

Observation 42f2dd1c-5cd4-487d-85d5-ded4874a7403 · outbound

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

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Osop: A multi-stage one shot object pose estimation frame- work

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.100327Z

Source-reported events for the cited work

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

Observation 71c8083b-b326-4cc2-bec0-ddf1e507673d · outbound

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

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Zebrapose: Coarse to fine surface encod- ing for 6dof object pose estimation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.091354Z

Source-reported events for the cited work

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

Observation 152d0165-275d-434f-a94b-3708e202acde · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Raft: Recurrent all-pairs field transforms for optical flow

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.082142Z

Source-reported events for the cited work

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

Observation 3391a922-075f-49cc-92bc-b22997540347 · outbound

This paper cites Real-time seamless single shot 6d object pose prediction.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Real-time seamless single shot 6d object pose prediction

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.073445Z

Source-reported events for the cited work

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

Observation 5a387025-32fe-4997-b0f3-1aac6d75c665 · outbound

This paper cites Gdr-net: Geometry-guided direct regression net- work for monocular 6d object pose estimation.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Gdr-net: Geometry-guided direct regression net- work for monocular 6d object pose estimation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.065144Z

Source-reported events for the cited work

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

Observation 94a8793b-855d-4c33-a715-945270348da6 · outbound

This paper cites Normalized object coordinate space for category-level 6d object pose and size estimation.

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Normalized object coordinate space for category-level 6d object pose and size estimation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.056818Z

Source-reported events for the cited work

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

Observation 3300e642-0909-4025-a8a8-fba463f962a5 · outbound

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

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Dpod: 6d pose object detector and refiner

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:14.047651Z

Source-reported events for the cited work

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