Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction | Paper Citation Record

Observation 2dbc3719-4597-44db-b2ec-e659f6ef4e85 · outbound

This paper cites CodeSLAM—learning a compact, optimisable representation for dense visual SLAM,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction CodeSLAM—learning a compact, optimisable representation for dense visual SLAM,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.852746Z

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Observation 023bee37-d48f-4e5b-be40-a8ad382eb5b6 · outbound

This paper cites A point set generation network for 3d object reconstruction from a single image,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction A point set generation network for 3d object reconstruction from a single image,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.842582Z

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Observation 9e617cf7-89fe-4493-a6ee-cf0fa609d9d6 · outbound

This paper cites Learning local RGB- to-CAD correspondences for object pose estimation,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Learning local RGB- to-CAD correspondences for object pose estimation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.832678Z

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Observation 0d9623cd-2b2c-4724-93b1-e9c3b2a05960 · outbound

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

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Normalized object coordinate space for category-level 6d object pose and size estimation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.822735Z

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Observation 06dca323-bdc9-42e9-9f3b-c524726014ff · outbound

This paper cites SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.812764Z

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Observation 6a3f1eb5-19b8-472b-bef6-cdf4ee0c0586 · outbound

This paper cites PoseCNN: A convolu- tional neural network for 6d object pose estimation in cluttered scenes,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction PoseCNN: A convolu- tional neural network for 6d object pose estimation in cluttered scenes,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.802611Z

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Observation d5105c63-2717-4a93-a9fa-8e8f4696dad6 · outbound

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

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T14:54:34.622727Z

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Unavailable: canonical work link unavailable.

Observation db1a9598-dd45-4f68-8e90-4bd55b686cd4 · outbound

This paper cites Object level depth reconstruction for category level 6d object pose estimation from monocular rgb image,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Object level depth reconstruction for category level 6d object pose estimation from monocular rgb image,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.792559Z

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Observation 8b06fc8a-f21c-4ad1-9971-1f041b7b2822 · outbound

This paper cites Leveraging Geometry for Shape Estimation from a Single RGB Image.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Leveraging Geometry for Shape Estimation from a Single RGB Image

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:54:34.943498Z

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Observation e4eac927-f3fe-4c45-a87a-9a0ab5b5e921 · outbound

This paper cites Category-level metric scale object shape and pose estimation,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Category-level metric scale object shape and pose estimation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.782339Z

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Observation 26dcaa7a-43a0-4f15-ae7e-c112e32a0c44 · outbound

This paper cites Multi-view consistency as super- visory signal for learning shape and pose prediction,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Multi-view consistency as super- visory signal for learning shape and pose prediction,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.772154Z

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Observation a3a50d26-d0a1-481b-98cc-67e4fe631b1a · outbound

This paper cites Unsupervised learning of shape and pose with differentiable point clouds,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Unsupervised learning of shape and pose with differentiable point clouds,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.760912Z

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Observation 3316799a-9830-4cf5-aadd-693795fb14d2 · outbound

This paper cites Pix3d: Dataset and methods for single-image 3d shape modeling,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Pix3d: Dataset and methods for single-image 3d shape modeling,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.750250Z

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Observation 2bb1809c-81a4-4336-a948-cf3056516dc0 · outbound

This paper cites To- tal3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruc- tion for Indoor Scenes from a Single Image,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction To- tal3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruc- tion for Indoor Scenes from a Single Image,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.739241Z

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Observation aa7b7cb1-f1c6-4add-8d8e-fb3d1da4b4ba · outbound

This paper cites Corenet: Coherent 3d scene reconstruction from a single rgb image,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Corenet: Coherent 3d scene reconstruction from a single rgb image,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.728696Z

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Observation 3592c1f0-9bca-4fa8-a984-c1a10a4e4144 · outbound

This paper cites Holistic 3d scene understanding from a single image with implicit representation,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Holistic 3d scene understanding from a single image with implicit representation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.717347Z

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Observation 0d3052d5-ff85-4aa2-a7ff-1161432213bd · outbound

This paper cites GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.706606Z

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Observation 1ce2636f-32a1-4bd7-be47-9c8da63271f2 · outbound

This paper cites Multiview aggregation for learning category-specific shape reconstruction,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Multiview aggregation for learning category-specific shape reconstruction,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.695889Z

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Observation f458da9c-2b71-4cdd-8e5b-92f643a89c1f · outbound

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

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Learning canonical shape space for category- level 6D object pose and size estimation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.684774Z

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Observation 98cc60ad-38aa-4491-a256-abc1f0bfcad6 · outbound

This paper cites SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.672833Z

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Observation 80a5ee15-fa6b-48f7-96a5-e807880c5f7a · outbound

This paper cites Learning meshes for dense visual slam,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Learning meshes for dense visual slam,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.662115Z

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Observation f050e5b5-cfd2-4da8-9b88-7c731cbf6462 · outbound

This paper cites Monoc- ular 3d object detection for autonomous driving,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Monoc- ular 3d object detection for autonomous driving,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.651571Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation accd5f4f-3bec-4d4a-90d8-10190935724f · outbound

This paper cites 3d bounding box estimation using deep learning and geometry,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction 3d bounding box estimation using deep learning and geometry,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.641000Z

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Observation d9dfd80e-fed5-40aa-b4dc-21cd1739e1d0 · outbound

This paper cites Data-driven 3D voxel patterns for object category recognition,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Data-driven 3D voxel patterns for object category recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.630205Z

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Observation 75d6f922-f74c-4d75-aa95-8a9951f62c00 · outbound

This paper cites Izadinia, Q.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Izadinia, Q

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.618938Z

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Observation 3d8f443e-b8b9-4319-a7cb-b5f8f9126a53 · outbound

This paper cites Category level object pose estimation via neural analysis-by-synthesis,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Category level object pose estimation via neural analysis-by-synthesis,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.608895Z

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Observation cf9682c6-c6c3-45d6-ab9d-f9641ec0c349 · outbound

This paper cites an unresolved cited work.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:54:35.598554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c6720cfe-6449-499e-989e-17f949ac7ac5 · outbound

This paper cites Neural object learning for 6d pose estimation using a few cluttered images,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Neural object learning for 6d pose estimation using a few cluttered images,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.588419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2af04a87-d2cf-4307-bbf2-90d1846ea754 · outbound

This paper cites Category-specific object reconstruction from a single image,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Category-specific object reconstruction from a single image,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.578370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 980f055b-603a-459e-8e47-58b754eee051 · outbound

This paper cites 3D-R2N2: A unified approach for single and multi-view 3D object reconstruction,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction 3D-R2N2: A unified approach for single and multi-view 3D object reconstruction,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.568177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c240fa96-7d17-4dc1-8c86-dd0ea4cbb88d · outbound

This paper cites Weakly supervised 3d reconstruction with adversarial constraint,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Weakly supervised 3d reconstruction with adversarial constraint,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.557692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 44ade83e-f099-4290-a407-c2d7616dce82 · outbound

This paper cites Domain-adaptive single- view 3d reconstruction,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Domain-adaptive single- view 3d reconstruction,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.547435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b3100253-e43a-4232-b503-ce8c88e62e62 · outbound

This paper cites Multi-view supervision for single-view reconstruction via differentiable ray consistency,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Multi-view supervision for single-view reconstruction via differentiable ray consistency,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.537065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 785c7a7f-76c5-4b6a-a7b4-8523299585f2 · outbound

This paper cites Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervi- sion,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervi- sion,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.526667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 708d3a18-b059-483f-91ff-48003dc99629 · outbound

This paper cites Pix2vox++: multi- scale context-aware 3d object reconstruction from single and multiple images,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Pix2vox++: multi- scale context-aware 3d object reconstruction from single and multiple images,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.516463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b27d79c7-37e5-4d73-bf31-0355cb1c9937 · outbound

This paper cites SDFDiff: Differentiable rendering of signed distance fields for 3d shape optimization,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction SDFDiff: Differentiable rendering of signed distance fields for 3d shape optimization,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.506170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd173fc7-4e92-4d57-ba6c-bc65e0df5452 · outbound

This paper cites Ladybird: Quasi-monte carlo sampling for deep implicit field based 3d reconstruction with symmetry,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Ladybird: Quasi-monte carlo sampling for deep implicit field based 3d reconstruction with symmetry,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.495746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1616e379-2a46-4473-a771-780416e9a4b9 · outbound

This paper cites Mesh R-CNN,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Mesh R-CNN,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.484571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4c9a3ce4-e82b-4cbe-8548-edc0a466d863 · outbound

This paper cites Learning single-image 3d reconstruction by generative modelling of shape, pose and shading,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Learning single-image 3d reconstruction by generative modelling of shape, pose and shading,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.474640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fc7fbe99-8afe-4c08-8889-4f6319229024 · outbound

This paper cites Learning category- specific mesh reconstruction from image collections,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Learning category- specific mesh reconstruction from image collections,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.464873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d25758d2-58c4-4e35-a700-2a871fb63025 · outbound

This paper cites Deep mesh reconstruction from single rgb images via topology modification networks,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Deep mesh reconstruction from single rgb images via topology modification networks,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.454440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 835754d9-2c83-4843-a5bf-d052e2313d9f · outbound

This paper cites FroDO: From Detections to 3D Objects,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction FroDO: From Detections to 3D Objects,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.444322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2cd2df56-b162-4870-91d0-4a9c7c27a592 · outbound

This paper cites Pixel2mesh: Generating 3d mesh models from single rgb images,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Pixel2mesh: Generating 3d mesh models from single rgb images,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.433996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 50e1312b-8d3d-4710-9720-2a1109f477fd · outbound

This paper cites Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.423438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aa765ac4-bd9c-4f61-9ddf-e4ef1251ff07 · outbound

This paper cites A papier- mˆach´e approach to learning 3d surface generation,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction A papier- mˆach´e approach to learning 3d surface generation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.413198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e90a2059-315a-4e03-a3ec-c0ee3b39bd43 · outbound

This paper cites MarrNet: 3D Shape Reconstruction via 2.5D Sketches,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction MarrNet: 3D Shape Reconstruction via 2.5D Sketches,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.402650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 08d34f52-2d4c-405a-ba60-1a22171b77e5 · outbound

This paper cites From image collections to point clouds with self-supervised shape and pose networks,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction From image collections to point clouds with self-supervised shape and pose networks,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.393071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d80347fe-063d-46a7-8fc8-b6d4cc5d75e9 · outbound

This paper cites Learning to Reconstruct Shapes from Unseen Classes,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Learning to Reconstruct Shapes from Unseen Classes,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.383182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1859a931-b0e8-4771-9396-547416c33f61 · outbound

This paper cites Shelf-supervised mesh prediction in the wild,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Shelf-supervised mesh prediction in the wild,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.372888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 006e564a-68cc-4f3e-977c-84065b540202 · outbound

This paper cites A review on object pose recovery: From 3d bounding box detectors to full 6d pose estimators,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction A review on object pose recovery: From 3d bounding box detectors to full 6d pose estimators,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.363412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7b7e8bef-3836-475e-b41f-cf2661a49e0a · outbound

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

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction BOP: Benchmark for 6D Object Pose Estimation,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.353327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5b43b81c-7903-4ab9-a257-36cdd6a0684a · outbound

This paper cites Scan2CAD: Learning CAD model alignment in RGB-D scans,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Scan2CAD: Learning CAD model alignment in RGB-D scans,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.342998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9b14e2e4-55f3-4b2f-b8e6-4bb272d735ac · outbound

This paper cites G2l-Net: Global to local network for real-time 6D pose estimation with embedding vector features,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction G2l-Net: Global to local network for real-time 6D pose estimation with embedding vector features,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.332626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d6609c4f-2f50-4e6e-b7fd-47df8f5b43cb · outbound

This paper cites 3D pose estimation of daily objects using an RGB-D camera,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction 3D pose estimation of daily objects using an RGB-D camera,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.322183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aa44a9b1-8845-409f-84a2-a453f28a5d88 · outbound

This paper cites End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:54:34.927731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation db7d2600-7e51-4f89-9fe5-eb76f0e1bc28 · outbound

This paper cites Detec- tion and fine 3d pose estimation of texture-less objects in rgb-d images,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Detec- tion and fine 3d pose estimation of texture-less objects in rgb-d images,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.311594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 269de549-2bb4-41a1-9713-f91760ad8d42 · outbound

This paper cites Deep learning of local rgb-d patches for 3d object detection and 6d pose estimation,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Deep learning of local rgb-d patches for 3d object detection and 6d pose estimation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.300725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation add35d76-69d3-4fe3-a5a1-04069ca9566c · outbound

This paper cites Latent-class hough forests for 6 dof object pose estimation.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Latent-class hough forests for 6 dof object pose estimation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.289009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 25861e28-1dae-41c0-874e-7e6feb4e0e07 · outbound

This paper cites 6-pack: Category-level 6d pose tracker with anchor-based keypoints,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction 6-pack: Category-level 6d pose tracker with anchor-based keypoints,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.278823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c76d02d1-12bb-4d92-91af-71a4bf1f78c9 · outbound

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

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Densefusion: 6d object pose estimation by iterative dense fusion,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.268122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2871cef0-006d-4f61-b9cd-7f1c1ccdd90a · outbound

This paper cites Uncertainty-driven 6D pose estimation of objects and scenes from a single RGB image,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Uncertainty-driven 6D pose estimation of objects and scenes from a single RGB image,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.257112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fee07cb4-667f-4b86-bf47-e9df03d1434f · outbound

This paper cites GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.246410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e3a06484-b36f-44a6-accb-e74047d073ad · outbound

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

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.234559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 19b9587f-a250-47d3-824b-78a5e868be0a · outbound

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

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Pix2pose: Pixel-wise coordinate regression of objects for 6d pose estimation,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.223285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0793da3b-be4f-4f26-a8f7-005fd9f96c58 · outbound

This paper cites PVNet: Pixel-wise V oting Network for 6DoF Pose Estimation,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction PVNet: Pixel-wise V oting Network for 6DoF Pose Estimation,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.212500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf9d6056-579a-499f-b875-0e14781b8727 · outbound

This paper cites Hybridpose: 6d object pose estimation under hybrid representations,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Hybridpose: 6d object pose estimation under hybrid representations,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.201305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e073d49a-7d16-4ac4-b039-ce2ab7ab6b8b · outbound

This paper cites Multi-path learning for object pose estimation across domains,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Multi-path learning for object pose estimation across domains,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.190456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c45bd89c-55d3-48ef-9f36-556e493550d8 · outbound

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

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Real-time seamless single shot 6d object pose prediction,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.179394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8c21ed3e-c19e-427a-bbb1-a6e03118e6bf · outbound

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

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction DeepIM: Deep iterative matching for 6d pose estimation,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.168147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3f64498f-01ed-46cd-84ac-6f748b167b55 · outbound

This paper cites U-Net: Convolutional networks for biomedical image segmentation,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction U-Net: Convolutional networks for biomedical image segmentation,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.157149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 98c5c030-77ee-406f-8900-26e6390af99c · outbound

This paper cites Group normalization,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Group normalization,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.146169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ab52fcb5-ac4c-4082-b377-93846846399b · outbound

This paper cites PointNet++: Deep hierarchical feature learning on point sets in a metric space,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction PointNet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.135377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 90d132c2-beb6-408f-9aca-4d2d78779268 · outbound

This paper cites Mask R-CNN,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Mask R-CNN,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.123362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c7518403-e5e2-4426-af6c-f0aaed1d23a1 · outbound

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

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction ShapeNet: An Information-Rich 3D Model Repository

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T14:54:34.859095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2424368c-3855-429e-bc18-ceae6698b4c9 · outbound

This paper cites Objectron: A large scale dataset of object-centric videos in the wild with pose annotations,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Objectron: A large scale dataset of object-centric videos in the wild with pose annotations,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.111820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c656b9d-94c9-4bfa-8a02-a7c1d711a9a1 · outbound

This paper cites On evaluation of 6d object pose estimation,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction On evaluation of 6d object pose estimation,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:35.100535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8ee804e2-39e2-4a72-beea-7d2cd36d980b · outbound

This paper cites Multimodal templates for real-time detection of texture- less objects in heavily cluttered scenes,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Multimodal templates for real-time detection of texture- less objects in heavily cluttered scenes,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:34.987255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a6ef8ffb-c6c7-414f-8392-e6a2f36c2e30 · outbound

This paper cites U2-net: Going deeper with nested u-structure for salient object detection,.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction U2-net: Going deeper with nested u-structure for salient object detection,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:34.975820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee97143b-4ee7-4f5d-9bbf-8275f1cf1b60 · outbound

This paper cites Before that, he was director of research with Wormpex AI Research, a Re- searcher with AiBee and Adobe Research.

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Before that, he was director of research with Wormpex AI Research, a Re- searcher with AiBee and Adobe Research

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:54:34.964941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers