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Paper Citation Record · LEDGER

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image

As of 14 August 2026, this Paper Citation Record lists 100 of 109 outbound references and 4 inbound Pith citation observations for arXiv:2411.16106.

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

pith.paper-citation-record.v1
2411.16106 v2

Coverage vector

measured 100 of 109 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:39:18.094782Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:47:07.414999Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T06:37:07.407824Z

Reference resolution

100 of 109 outbound references displayed

  • verified exact0
  • verified fuzzy64
  • unresolved36
  • parse uncertain0
  • malformed identifier0
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Outbound references

Observation 717cd21e-bf6a-4d0f-9080-f7fa55f2dfe3 · outbound

This paper cites an unresolved cited work.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Unresolved cited work

Reference 1

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Observation c93c0bbc-6e00-4712-8e5c-c87209fc2050 · outbound

This paper cites Learning 6D object pose estimation using 3D object coordinates.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Learning 6D object pose estimation using 3D object coordinates

Reference 2

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Observation 86b72c9b-3bbb-49c2-9598-e0123036c484 · outbound

This paper cites Ove6d: Ob- ject viewpoint encoding for depth-based 6d object pose esti- mation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Ove6d: Ob- ject viewpoint encoding for depth-based 6d object pose esti- mation

Reference 3

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Observation 554809a5-6a55-48c8-a4d5-3367cbd20dfa · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Freeze: Training-free zero-shot 6d pose estimation with geometric and vision foundation models

Reference 4

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Observation 03a8e66b-3706-4729-89ff-b97096125248 · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image ShapeNet: An Information-Rich 3D Model Repository

Reference 5

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Observation 9e0416dc-fee7-4bb1-94d6-0d8f25acc0da · outbound

This paper cites Learn- ing canonical shape space for category-level 6D object pose and size estimation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Learn- ing canonical shape space for category-level 6D object pose and size estimation

Reference 6

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Observation 198e908d-31ba-46ee-a35e-a4bae5fbc495 · outbound

This paper cites Zeropose: Cad- prompted zero-shot object 6d pose estimation in cluttered scenes.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Zeropose: Cad- prompted zero-shot object 6d pose estimation in cluttered scenes

Reference 7

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Observation 06b00d80-9cef-481b-8455-85dcbafc794e · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image SGPA: Structure-guided prior adapta- tion for category-level 6D object pose estimation

Reference 8

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Observation 886cbe0a-a4a3-499a-8c7b-c63893063781 · outbound

This paper cites FS-Net: Fast shape-based net- work for category-level 6D object pose estimation with de- coupled rotation mechanism.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image FS-Net: Fast shape-based net- work for category-level 6D object pose estimation with de- coupled rotation mechanism

Reference 9

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Observation da247008-9dcc-4adb-a610-10f2770a8f3d · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Secondpose: Se (3)- consistent dual-stream feature fusion for category-level pose estimation

Reference 10

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Observation 1e2082fc-538d-41c4-8b75-221324eda9f6 · outbound

This paper cites Utopic: Uncertainty-aware overlap prediction network for partial point cloud registration.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Utopic: Uncertainty-aware overlap prediction network for partial point cloud registration

Reference 11

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Observation d482af16-3bf7-4189-9e1b-1b36aef0e8da · outbound

This paper cites Fully convolutional geometric features.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Fully convolutional geometric features

Reference 12

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Observation 7f965ef7-bdd0-4dc6-a9a1-59c99f5d2c86 · outbound

This paper cites Vision transformers need registers.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Vision transformers need registers

Reference 13

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Observation 52fd7f87-b520-4422-b336-0bda3335d559 · outbound

This paper cites Ppf-foldnet: Unsupervised learning of rotation invariant 3d local descrip- tors.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Ppf-foldnet: Unsupervised learning of rotation invariant 3d local descrip- tors

Reference 14

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Observation 7f7bcbff-2fc2-4b11-a40b-14e497e37509 · outbound

This paper cites Ppfnet: Global context aware local features for robust 3d point matching.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Ppfnet: Global context aware local features for robust 3d point matching

Reference 15

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Observation 777a1b01-1b91-45ad-92a9-7d5652ca28ba · outbound

This paper cites Strobl, Matthias Humt, and Rudolph Triebel.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Strobl, Matthias Humt, and Rudolph Triebel

Reference 16

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Observation 417d86ba-2fd7-475e-a5f9-abb5355fe477 · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Gpv-pose: Category-level object pose estimation via geometry-guided point-wise voting

Reference 17

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Observation 11626a6b-cda5-4b65-8a2a-12b5f2820764 · outbound

This paper cites U-red: Unsupervised 3d shape retrieval and deformation for partial point clouds.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image U-red: Unsupervised 3d shape retrieval and deformation for partial point clouds

Reference 18

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Observation ac05e6fd-6fbe-421a-bfe8-91a9105259af · outbound

This paper cites Shapematcher: Self-supervised joint shape canonicalization segmentation retrieval and deformation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Shapematcher: Self-supervised joint shape canonicalization segmentation retrieval and deformation

Reference 19

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Observation 8e123412-54a9-4c3f-ad89-f755f084b08b · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 20

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Observation 94c00f01-f70b-4de9-9b18-452383e01488 · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Google scanned objects: A high- quality dataset of 3d scanned household items

Reference 21

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Observation ed298278-bb6e-4855-9402-051d8092798c · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Model globally, match locally: Efficient and robust 3d object recognition

Reference 22

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Observation 757513de-cd29-489b-802a-595b59fa3fc8 · outbound

This paper cites Vision-based robotic grasping from object localization, ob- ject pose estimation to grasp estimation for parallel grippers: a review.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Vision-based robotic grasping from object localization, ob- ject pose estimation to grasp estimation for parallel grippers: a review

Reference 23

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Observation 51dc0973-d7ee-4147-ac00-9a8097eae1ae · outbound

This paper cites Object level depth recon- struction for category level 6d object pose estimation from monocular rgb image.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Object level depth recon- struction for category level 6d object pose estimation from monocular rgb image

Reference 24

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Observation 7589dbc8-91e4-4df5-b407-f388ad724ad4 · outbound

This paper cites Recognizing objects in range data us- ing regional point descriptors.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Recognizing objects in range data us- ing regional point descriptors

Reference 25

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Observation eac592ba-8741-4f1b-a59b-0c0cfba94a6e · outbound

This paper cites Lanpose: Language-instructed 6d object pose estimation for robotic assembly.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Lanpose: Language-instructed 6d object pose estimation for robotic assembly

Reference 26

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Observation 674be80c-e753-4fb4-a4ea-4706655217fb · outbound

This paper cites Sur- femb: Dense and continuous correspondence distributions for object pose estimation with learnt surface embeddings.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Sur- femb: Dense and continuous correspondence distributions for object pose estimation with learnt surface embeddings

Reference 27

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Observation c25a8bda-496d-428f-8965-c3d4d83339ac · outbound

This paper cites Mask R-CNN.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Mask R-CNN

Reference 28

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Observation 349b7798-5f1f-4e35-bb45-62c1cc814e47 · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Onepose++: Keypoint-free one- shot object pose estimation without cad models

Reference 29

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Observation 81a10ad4-7f01-43ad-8189-80ffde9da950 · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Ffb6d: A full flow bidirectional fusion network for 6d pose estimation

Reference 30

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Observation 00cf3644-a6f4-4e01-837c-9cec0fbc739e · outbound

This paper cites Fs6d: Few-shot 6d pose estimation of novel objects.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Fs6d: Few-shot 6d pose estimation of novel objects

Reference 31

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c0f7a70b-3e12-4c02-8c3e-2f390cded677 · outbound

This paper cites BOP: Benchmark for 6D Object Pose Estimation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image BOP: Benchmark for 6D Object Pose Estimation

Reference 32

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Observation 6f63e14a-0ce9-41b1-acc7-e4a79fc6b31e · outbound

This paper cites BOP Challenge 2020 on 6D object localization.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image BOP Challenge 2020 on 6D object localization

Reference 33

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Observation e9d7bc19-9e37-4a9f-9264-f265ee7e020e · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Bop challenge 2023 on detection, segmentation and pose estima- tion of seen and unseen rigid objects

Reference 34

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Observation ab0af670-e58f-42d6-9eaa-3004ea346bc0 · outbound

This paper cites Single-stage 6d object pose estimation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Single-stage 6d object pose estimation

Reference 35

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7a5e07e9-4c4c-4e78-a9d1-258589a4bff5 · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Matchu: Matching unseen objects for 6d pose estimation from rgb-d images

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.400619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.746113Z digest=sha256:85b20a477e810a6fe95af949ff3c1b56066b470a3a266c128838afa7de868a76

Observation 6fecf9b4-d0fd-4dc6-b1ac-a10adbabe683 · outbound

This paper cites Cooperative holis- tic scene understanding: Unifying 3d object, layout, and camera pose estimation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Cooperative holis- tic scene understanding: Unifying 3d object, layout, and camera pose estimation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.384007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.751672Z digest=sha256:a38c3e24a270e37ed43b7d324ee96d687931c86abdfdc08cbbe1dd1710fdbd29

Observation e123e33b-701f-464e-a912-299feb8b63da · outbound

This paper cites Predator: Registration of 3d point clouds with low overlap.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Predator: Registration of 3d point clouds with low overlap

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T13:39:17.756735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:39:17.756735Z digest=sha256:972bfd6abe0804ea9b053ee9ae0a8d6dfe9c70d3d8057bb24a0f82003727b3ba

Observation 8ab3ad48-230e-4368-9867-e1d0faef6920 · outbound

This paper cites Kingma and Jimmy Ba.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Kingma and Jimmy Ba

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T13:39:17.762243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:39:17.762243Z digest=sha256:bfa1d81bba1e961f5a69f583d0e9ba81210b8ea7bdae281c896979825f2d5422

Observation d2e4b755-12da-4452-947f-f01176bbfa3d · outbound

This paper cites Segment any- thing.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Segment any- thing

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.347552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.767382Z digest=sha256:5f4ce402a347afe6a3b6f458de884460821c187c4b7368e5726cd9dee6c847c7

Observation 8355bfb4-db9d-4b1f-b3f8-3ed58d63e71f · outbound

This paper cites A hybrid approach for 6dof pose estimation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image A hybrid approach for 6dof pose estimation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.331918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.772961Z digest=sha256:af3bd4ff9940e90ed4b0619c84fccd41009bbe95394f3ad22c7e188035d63810

Observation f324c5f4-29c8-4f47-953e-addce5ebc7af · outbound

This paper cites CosyPose: Consistent multi-view multi-object 6D pose estimation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image CosyPose: Consistent multi-view multi-object 6D pose estimation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.316087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.778531Z digest=sha256:5c6114de520a9f0e87cbf512db060555ea7b0ec538a26f25902a16e226616cda

Observation 30f5727e-fe1b-4ce9-825b-0146fca7ab5f · outbound

This paper cites Megapose: 6d pose estimation of novel objects via render & compare.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Megapose: 6d pose estimation of novel objects via render & compare

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.300690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.783690Z digest=sha256:254ab0189bfbf88dc2c0cc0a75d083b70e25552033cfc58d9a703961986fbbc8

Observation f72a95c4-8d03-476c-9cc2-8fa64e0c6701 · outbound

This paper cites Deep hough voting for robust global registration.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Deep hough voting for robust global registration

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.284746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.788892Z digest=sha256:1f8f7dfc29d40270548f627ec450ea1fc74e1bc15abb3d233e80b2565045ea2d

Observation 197161ab-62a1-4479-9634-44a01aec8c21 · outbound

This paper cites Iterative distance-aware similarity matrix convolution with mutual-supervised point elimination for efficient point cloud registration.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Iterative distance-aware similarity matrix convolution with mutual-supervised point elimination for efficient point cloud registration

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.267543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.794144Z digest=sha256:847124ddeba7a236981cff19563f1039e44d468a046cd027a6b9c9e54c1eff8c

Observation d6cfc124-cb6f-46ae-9bac-164e9469cd40 · outbound

This paper cites Leveraging se (3) equiv- ariance for self-supervised category-level object pose esti- mation from point clouds.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Leveraging se (3) equiv- ariance for self-supervised category-level object pose esti- mation from point clouds

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.249656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.799581Z digest=sha256:1ac6ccf1f93dd74f3f7e8677e219c298c01cb4125bbbdc2e8ed88c5cc2695d35

Observation 6886cf84-6816-48d8-86d9-3ceaeab881d1 · outbound

This paper cites DeepIM: Deep iterative matching for 6D pose estimation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image DeepIM: Deep iterative matching for 6D pose estimation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.233216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.805025Z digest=sha256:4f119ef40852c7388d609d17f71169dd706cbeb91226566c06ebc2bd99bb4a98

Observation 23209115-a013-40d3-805e-6158b3e7f71b · outbound

This paper cites CDPN: Coordinates-Based Disentangled Pose Network for Real- Time RGB-Based 6-DoF Object Pose Estimation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image CDPN: Coordinates-Based Disentangled Pose Network for Real- Time RGB-Based 6-DoF Object Pose Estimation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.216500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.810230Z digest=sha256:b45b6e88d27a2161eb633c184056089a8229bf2bcaef87091a7487d8a99133d2

Observation 4ac05252-c2eb-480f-9096-8d3d84e0244b · outbound

This paper cites Relpose++: Recovering 6d poses from sparse-view observations.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Relpose++: Recovering 6d poses from sparse-view observations

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.199180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.816233Z digest=sha256:d41adf06bfa8cff986acb8c9999e1f3a2acf42e778b822f8727d8f7c1233f04c

Observation 33114019-d689-4fe3-a020-9f8589f470e5 · outbound

This paper cites DualPoseNet: Category-level 6D ob- ject pose and size estimation using dual pose network with refined learning of pose consistency.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image DualPoseNet: Category-level 6D ob- ject pose and size estimation using dual pose network with refined learning of pose consistency

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.179283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.821698Z digest=sha256:923bba05dd6c7ad4f720dbafc70d99de80c0ff60ba98d29af92e926e37119045

Observation b9491611-c109-4caa-8cef-387a0da6d2e0 · outbound

This paper cites Sam-6d: Segment anything model meets zero-shot 6d object pose estimation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Sam-6d: Segment anything model meets zero-shot 6d object pose estimation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.159652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.826705Z digest=sha256:7076f88c84270850fc6e2b43e0ae9cafc4919ec776df704f1f3fe04618fd2fa8

Observation 733272b9-c761-4276-a1bd-91961d7bb8f0 · outbound

This paper cites Focal loss for dense object detection.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Focal loss for dense object detection

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.142405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.831973Z digest=sha256:632b50a556cec1b656af682b52f9023299c2f39655d12368e3f2285f78045e84

Observation 7a414aeb-296a-4242-b711-673f995e396c · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Zero-1-to-3: Zero-shot one image to 3d object

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.124418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.838365Z digest=sha256:ef5ffdcd25d105d8e337b601c6406296c2df003d54d2ddbf025bd26ef295b520

Observation 415ed175-522e-4404-af8b-a13816daa19c · outbound

This paper cites CATRE: iterative point clouds alignment for category-level object pose refinement.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image CATRE: iterative point clouds alignment for category-level object pose refinement

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.107371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.843652Z digest=sha256:10f08b3c495fc417ed833bb3a1510041c82f48943504538bf33d51d950446fc8

Observation 77232f8a-aece-46d7-b642-2d8f64f263c4 · outbound

This paper cites Gfreedet: Exploiting gaussian splatting and foundation models for model-free unseen object detection in the bop challenge.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Gfreedet: Exploiting gaussian splatting and foundation models for model-free unseen object detection in the bop challenge

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-12T13:39:17.848823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:39:17.848823Z digest=sha256:690b3c129294601790b910fe103c9444d788f86da4475f303a561740306b0fe2

Observation 7f6ce5db-c62d-44cf-a78d-60d042e328ef · outbound

This paper cites Rasim: A range-aware high- fidelity rgb-d data simulation pipeline for real-world appli- cations.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Rasim: A range-aware high- fidelity rgb-d data simulation pipeline for real-world appli- cations

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.078999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.859781Z digest=sha256:8748e6d6442c1ca031011a5be9bf9e6fd47cc90cddbe3cc280ebffb443047bcd

Observation 4e98a03b-de4d-44a6-9227-961591af37dc · outbound

This paper cites Gen6d: Generalizable model-free 6-dof object pose estimation from rgb images.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Gen6d: Generalizable model-free 6-dof object pose estimation from rgb images

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.061977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.865029Z digest=sha256:7e393a4b24da6cbee7edaadd395fe3b31e47811333388a1cd6fcfc768448df4e

Observation adb87025-1534-4003-94ff-1debabdfa4de · outbound

This paper cites SGDR: stochastic gradi- ent descent with warm restarts.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image SGDR: stochastic gradi- ent descent with warm restarts

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.045738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.870682Z digest=sha256:af8917de103b6ce6b0c240d5a5820f77088f556d33bdaa0b21a460e9e1f19576

Observation d4984399-9971-425a-81b9-3ccdba97f38b · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Pose estimation for augmented reality: a hands-on survey

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.029708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.875991Z digest=sha256:85f00ecb71bbd1ea82e6b08932c3e091672f0c81b2fa8f6fd960ff1f46e4f2a6

Observation 0046f65c-37ba-4c8c-9912-7c471a81392b · outbound

This paper cites Templates for 3d object pose estimation revisited: Generalization to new objects and ro- bustness to occlusions.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Templates for 3d object pose estimation revisited: Generalization to new objects and ro- bustness to occlusions

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:19.013262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.881063Z digest=sha256:a63e6c7a67d76a83cf33ce25cc4f3907bc4563ad9bd8239e558e31885c732b4a

Observation 872b4106-fb8c-4ccd-88b2-122895847a64 · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Cnos: A strong baseline for cad-based novel object segmentation

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.997128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.885909Z digest=sha256:23e75467c875220e98a8aa4b00aaaca80eacc90174ada0bf30869027b9ea577e

Observation 1a2e1343-cf0d-4d15-97c8-ad54330c9cf0 · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Gigapose: Fast and robust novel object pose estimation via one correspondence

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.980401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.891227Z digest=sha256:77c7de1678b4ddb48c33ac57007769b7569e9b75ccc81d4c57acd01443fa973a

Observation 0a6bf23e-dacf-4033-93d8-d513914a7eb9 · outbound

This paper cites Total3DUnderstanding: Joint layout, object pose and mesh reconstruction for indoor scenes from a single image.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Total3DUnderstanding: Joint layout, object pose and mesh reconstruction for indoor scenes from a single image

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.964879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.896823Z digest=sha256:8ccebe301fcaf82d5b7e8250f83555e29f222d92c60a9dfad68914e97ef67670

Observation 6bfca9ee-078c-48d6-99aa-156e0aca07eb · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Representation Learning with Contrastive Predictive Coding

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-12T13:39:17.902365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:39:17.902365Z digest=sha256:a9347a0eedd56352166d4ef968feb92b2f47e08968aaac2ba192f99b6fb9a29f

Observation ef27d153-bc37-46ee-a187-fa2c670fb088 · outbound

This paper cites an unresolved cited work.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-12T13:39:18.947866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.907579Z digest=sha256:052d526b24737a21f5ff7e188d073bd78a93f46b23a1fc41855ad99cc18b6f08

Observation 706aaebd-5b66-4c4f-85f8-2614d27e0f2e · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Found- pose: Unseen object pose estimation with foundation fea- tures

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.930718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.913949Z digest=sha256:58eca9dbb1d0ad1a05b2a5db7703518013ff815521ce887dd08f8536dfddd274

Observation e334315f-757c-4404-bb54-f9a3dd452eb5 · outbound

This paper cites PyTorch: An imperative style, high-performance deep learning library.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image PyTorch: An imperative style, high-performance deep learning library

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.915018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.920495Z digest=sha256:b1e39cd9981fbdf1d79ed5f4370c7c5a70fe12712d2641fbac27854b947841a3

Observation fe93680d-c103-494a-b6d8-f8241086d7ca · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Pvnet: Pixel-wise voting network for 6dof pose estimation

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.899329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.925949Z digest=sha256:666ab91fb102f620fc1362844d2acaf23d18095ed3b08e081fbb0fb76fb6180e

Observation 9013415e-3071-4db2-bc33-e3b7dbbe089f · outbound

This paper cites Learning general and dis- tinctive 3d local deep descriptors for point cloud registration.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Learning general and dis- tinctive 3d local deep descriptors for point cloud registration

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.884674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.930987Z digest=sha256:4a59b146c6ae39cece452b1035bedf80d3153a40abe0b8dd56880b5a5b18a846

Observation c76f3a7a-87c4-41c7-9a2a-10390c5954c7 · outbound

This paper cites PointNet: Deep learning on point sets for 3D classification and segmentation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image PointNet: Deep learning on point sets for 3D classification and segmentation

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.868940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.935985Z digest=sha256:b8a73e9d12da22e81b9f96de0d5aec14094053391a30e484cb8c30ba23dc9221

Observation 6876fd77-e385-4088-a217-bf101d5c8122 · outbound

This paper cites Geotrans- former: Fast and robust point cloud registration with geo- metric transformer.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Geotrans- former: Fast and robust point cloud registration with geo- metric transformer

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.852664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.941163Z digest=sha256:d6638c2d8cbbbd344770de6d3cbd377bb6dbe7791f52379cbf90a6b6a52fa520

Observation dcddc46b-61a3-4a4e-8b04-1ab01a4da515 · outbound

This paper cites Fast point feature histograms (fpfh) for 3d registration.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Fast point feature histograms (fpfh) for 3d registration

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.836659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.946460Z digest=sha256:990ee2844a05854ba86ef2b37751058f365ac8920e321dbb71004cfea26b605f

Observation 7e2abb34-f10b-450c-bbb5-e0672e2d51da · outbound

This paper cites Dpodv2: Dense correspondence-based 6 dof pose estimation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Dpodv2: Dense correspondence-based 6 dof pose estimation

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.820903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.951399Z digest=sha256:7cca4ee95f74bec41563c9d2a896dab554d9f1dc385d3b5480a557e4cca5be23

Observation 285f4229-5db4-4cf4-983e-8f429ddc4e91 · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Osop: A multi-stage one shot object pose estimation frame- work

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.805569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.956442Z digest=sha256:891e98c461e44bcb2ea22889a7d025d853b5692268bca34851c663b98d82575b

Observation a2c2ddb2-cec2-4e4d-b807-84d5db410faa · outbound

This paper cites Structural indexing: Efficient 3-d object recognition.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Structural indexing: Efficient 3-d object recognition

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.790786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.961973Z digest=sha256:94d100583b493178d21dc91e39748a80aae689fb492356a68b5612129094f5be

Observation ac9d97e6-619d-4e5c-9ba6-3cf33ad294da · outbound

This paper cites Deep multi-state object pose estimation for augmented reality assembly.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Deep multi-state object pose estimation for augmented reality assembly

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.775749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.967321Z digest=sha256:b05b1bf037ccc5ddff6d3d25c8b72128eedf224672ba57d62072c267f7e934b5

Observation f29949ff-dda1-49cb-9d9f-43b6a61d0359 · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Onepose: One-shot object pose estimation without cad mod- els

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.760477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.972419Z digest=sha256:8d4483b31a15503faefda0a288f1911346b4fcf4fbbd9bc3378a63c71932d0bb

Observation 4ee9e625-23dc-4694-802d-ea96b7aff961 · outbound

This paper cites Fafa: Frequency-aware flow-aided self- supervision for underwater object pose estimation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Fafa: Frequency-aware flow-aided self- supervision for underwater object pose estimation

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.744540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.977350Z digest=sha256:094289b9c330a4a76582852a35c3de0f06064c6965d4f9ab86a2bd43439147cc

Observation b2d9198c-6fde-479b-87ce-ebf10a18cf0d · outbound

This paper cites Shape prior deformation for categorical 6D object pose and size estimation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Shape prior deformation for categorical 6D object pose and size estimation

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.729230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.982286Z digest=sha256:3057a8047bf124da2b7f3c0acbca37f929301e921f97cb3ba0573980d4b3dbfa

Observation 98c044c2-5c5a-4d45-89e4-8a18e663ec6d · outbound

This paper cites Deep object pose estimation for semantic robotic grasping of household objects.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Deep object pose estimation for semantic robotic grasping of household objects

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.714227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.987421Z digest=sha256:f641efd159a90941559c59f7e7439e476c0cd68041009073c42dde7d401a2cb1

Observation 11202105-2452-4620-aa2f-bead7a33bab5 · outbound

This paper cites Joint learning of 3d shape retrieval and deformation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Joint learning of 3d shape retrieval and deformation

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.699072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.992204Z digest=sha256:c7cd1fef1c2a5eb2a9b3023d3d84b44a1bdfc003aa1b571293ad62c2d12f8a8b

Observation 40c07674-eb69-461f-bdf7-91dac63990ce · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.684082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:17.997801Z digest=sha256:15d9012fcfcc069d3c72bf8f4e4ec523d0168501dbb50c473e4dedf49808d8ad

Observation 2931e0bc-fe99-4659-a715-db1901bca17f · outbound

This paper cites DenseFusion: 6D object pose estimation by iterative dense fusion.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image DenseFusion: 6D object pose estimation by iterative dense fusion

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.668758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:18.003063Z digest=sha256:ca228243f0713f259fbbf8b49d2a80c1b90ba3d4ed1dc2d5a6a11fcbb179134f

Observation 4d7e42fe-22cf-46f9-b1ce-021d9e698b1f · outbound

This paper cites Self6d: Self- supervised monocular 6d object pose estimation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Self6d: Self- supervised monocular 6d object pose estimation

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.652983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:18.008191Z digest=sha256:691b8341c756957e246b6ff74c1d277744fa04d9819147dedd7f972382d6e207

Observation 00cd93fb-731c-4ac9-80c2-e60b99f25827 · outbound

This paper cites GDR-Net: Geometry-guided direct regression network for monocular 6D object pose estimation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image GDR-Net: Geometry-guided direct regression network for monocular 6D object pose estimation

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.637458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:18.013392Z digest=sha256:3deca4b532c9a5c09af02cfba4fee7eb520ffd5b7f9ddda2b3f3ffa12e340cca

Observation c3737f5c-f0c9-4949-a1ad-29b46e280311 · outbound

This paper cites Occlusion-aware self-supervised monocular 6D object pose estimation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Occlusion-aware self-supervised monocular 6D object pose estimation

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.621889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:18.019552Z digest=sha256:fcfcaa8360fada879154f6d4e61e09a9d697edb1356fb6eb07814c0640406cfc

Observation dad25c0d-9b02-4597-ac8a-c9d2dfd215ed · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Normalized object coordinate space for category-level 6D object pose and size estimation

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.606609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:18.024839Z digest=sha256:d2cbddb1c6afef14bd30474b7fc6bf69f2f0ecc41d75c8c283361019b1f4da79

Observation 44d5a77d-0432-4b09-9d5c-f3a1537fe463 · outbound

This paper cites Category-level 6D object pose estimation via cascaded relation and recurrent reconstruction networks.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Category-level 6D object pose estimation via cascaded relation and recurrent reconstruction networks

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.591210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:18.029894Z digest=sha256:7a7b6db91fc35b29447c97a30dc701bdf23d33a7f7b3484efe8ec2a2df78bf12

Observation 75189692-5b1c-4ef5-9326-56b4d126af56 · outbound

This paper cites Deep closest point: Learn- ing representations for point cloud registration.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Deep closest point: Learn- ing representations for point cloud registration

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.573630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:18.034842Z digest=sha256:45a5b42c247bb9914210d8822772daae560931b95c81741ac49d4c22f68fcedb

Observation 987f4ade-13d0-44ad-bae3-9f1736d0aacf · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image FoundationPose: Unified 6d pose estimation and tracking of novel objects

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.557430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:18.041132Z digest=sha256:af4398a76163be6088d22bef2b97acc538713238af2ffd400202a4d3264859e3

Observation e95c3649-2a8c-47db-b4d1-09c2867cb6f2 · outbound

This paper cites iFusion: Inverting Diffusion for Pose-Free Reconstruction from Sparse Views.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image iFusion: Inverting Diffusion for Pose-Free Reconstruction from Sparse Views

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-12T13:39:18.046504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:39:18.046504Z digest=sha256:48734f644ccf5573ebf70377e53d54240ca5a2dc79cac60a483f48e5be3f33d5

Observation e0baa9d5-2008-4a4e-a957-c057f459b1af · outbound

This paper cites PoseCNN: A convolutional neural network for 6D object pose estimation in cluttered scenes.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image PoseCNN: A convolutional neural network for 6D object pose estimation in cluttered scenes

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.541527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:18.051802Z digest=sha256:7bb2bac0c447277ffe26aae20dbbcefd1272e5ba07443a31b5831942ff785b25

Observation 845b38eb-257a-48ea-bb2f-9a419505518c · outbound

This paper cites Toldi: An effective and robust approach for 3d local shape descrip- tion.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Toldi: An effective and robust approach for 3d local shape descrip- tion

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.525462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:18.057074Z digest=sha256:8f49fd1216e23a309bd315cfd637c3a09ee2c1fe211181774371678f9f08b9f4

Observation 4fb72c7b-3233-4cdf-ae11-327f717e67b5 · outbound

This paper cites Cppf: Towards robust category-level 9d pose estimation in the wild.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Cppf: Towards robust category-level 9d pose estimation in the wild

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.509550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:18.061944Z digest=sha256:52c915c36a072d9ba3625ea69a7242b6e0caed8243fdb245a1c99e404bf1b1dd

Observation fb45deac-4c28-49f1-9a7d-4bf1fe92368e · outbound

This paper cites Cofinet: Reliable coarse-to-fine correspondences for robust pointcloud registration.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Cofinet: Reliable coarse-to-fine correspondences for robust pointcloud registration

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.493295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:18.067579Z digest=sha256:4360ce30e0c0217ff7036507adce8c45bcddb630da2151d7aa336095ce733cd9

Observation 9ef2383d-aa8f-4cff-8df6-5e26c2973623 · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Rotation-invariant transformer for point cloud matching

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.477316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:18.073711Z digest=sha256:69f7becda163703f7713291a94dfa4430c9d27d9fe94d8e0299e27b4dfdc0f00

Observation fe8cd09b-b48f-40c0-aa1a-6f57f2de2f85 · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Riga: Rotation-invariant and globally-aware descriptors for point cloud registration

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.460242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:18.078680Z digest=sha256:6dcc344907b78bf0473d7bfdce8893a4e8b80d765be43dedc7d53aca9dbd9eb3

Observation d101997c-0126-4636-aa02-dba2dfa54c7f · outbound

This paper cites Relpose: Predicting probabilistic relative rotation for single objects in the wild.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Relpose: Predicting probabilistic relative rotation for single objects in the wild

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.441862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:18.084387Z digest=sha256:3416de5bea1537ff69269af593c61f2d5688a5e1280a0d06b5488c57744262fd

Observation 8a9c651f-d078-496b-a4ec-97985df9cd62 · outbound

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

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Rbp-pose: Residual bounding box projection for category-level pose estimation

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.424619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:18.089747Z digest=sha256:d445e4805d05675f3216d669dce2d78c6b2546312cdac7f671414bf1940751e0

Observation 2b9f0d36-b5de-4050-b80e-5d1b85997fde · outbound

This paper cites Ssp-pose: Symmetry-aware shape prior deformation for direct category-level object pose estimation.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Ssp-pose: Symmetry-aware shape prior deformation for direct category-level object pose estimation

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:39:18.407314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:39:18.094782Z digest=sha256:4cd42e18a35e4ae4944b65626a2b940b0365a12463f7a151e045980af301081e

Pith citing papers

Observation c6590489-8042-4f1a-b14b-56e40557f351 · 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 UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T04:47:07.414999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:47:07.414999Z digest=sha256:897d97f8108a1ef6f36af73dd769436ca02a4a9107e172122546ae8097fda006

Observation f0d635a5-07ca-4775-9f85-11b4de7cdfd1 · inbound

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations cites this paper.

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:37:07.410196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T06:36:13.144868Z digest=sha256:600cc2710aa7485c3bdc24bb581518aa98cf0ab25df4e8c9e8db2fdcba6abaf8

Observation 5a1cf97a-4a72-4c28-8d05-e4fb472af56f · inbound

UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot Pose Estimation cites this paper.

UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot Pose Estimation UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T17:42:03.381769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:42:03.381769Z digest=sha256:1ce2f5c4c1d61ed98c03579bb52d3cce6989c04bf420de626d466ce87be0a371

Observation 954c30ee-af0c-494d-b8e4-5afcd5472f23 · inbound

One View, Many Worlds: Single-Image to 3D Object Meets Generative Domain Randomization for One-Shot 6D Pose Estimation cites this paper.

One View, Many Worlds: Single-Image to 3D Object Meets Generative Domain Randomization for One-Shot 6D Pose Estimation UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image

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