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Paper Citation Record · LEDGER

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction

As of 18 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.18331.

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

pith.paper-citation-record.v1
2507.18331 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:19:43.779994Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

  • verified exact1
  • verified fuzzy33
  • unresolved9
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06f9ca8e-89da-4606-9b1c-91b13df80361 · outbound

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

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Objectron: A large scale dataset of object-centric videos in the wild with pose annotations

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.276044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.622308Z digest=sha256:badcc14381ca7bc5062f80ea170b489220aa5953b33dbb79357feb65f16d7800

Observation 35cc0d22-a0c8-4c7f-b035-82a913237079 · outbound

This paper cites ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 2

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unresolved
no resolver link, observed 2026-08-15T18:19:43.627531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.627531Z digest=sha256:8e5ead55dac93695eaa76913fea3865f670e60ac274b63b3e1b85bc8eeae8c93

Observation 2aff32a9-5339-4d58-99ca-939785001a5c · outbound

This paper cites End-to- end object detection with transformers.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction End-to- end object detection with transformers

Reference 3

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raw_fallback, observed 2026-08-15T18:19:44.263960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.631741Z digest=sha256:97ad0d947f6a04aa898a9f4febb41224be63407e4f7ec8c73c9c3c1db562e4cf

Observation e9e762e2-8ac2-4b59-abf1-72de3323b8e1 · outbound

This paper cites MVSplat: Efficient 3d gaussian splatting from sparse multi-view images.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction MVSplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.251914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.635523Z digest=sha256:65cd462646f27a19427f23f41bd63f96ed717add237f3b712efd9f69f508aa81

Observation e35a0e99-3511-4706-9634-93525dbbcb6a · outbound

This paper cites A space-sweep approach to true multi- image matching.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction A space-sweep approach to true multi- image matching

Reference 5

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raw_fallback, observed 2026-08-15T18:19:44.240420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.639437Z digest=sha256:78109d4bf0ffd95120061b49bd65a2930e9b9037961a3c1e8f5a67c8a2826102

Observation e23deab3-db4a-4495-9fa1-9a7715b72e06 · outbound

This paper cites ScanNet: Richly-annotated 3d reconstructions of indoor scenes.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction ScanNet: Richly-annotated 3d reconstructions of indoor scenes

Reference 6

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raw_fallback, observed 2026-08-15T18:19:44.229361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.642914Z digest=sha256:e256489058a312657620f42f8a73b122da2a5ae63debccce67af9e5acdf7ff72

Observation f7e56130-a8f6-4118-bb63-767e3ee5d7e3 · outbound

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

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction An image is worth 16x16 words: Transformers for image recognition at scale

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.646393Z digest=sha256:2dca838b631d1ec57f456edcafbe14f57d3a0477dc1ff5219bbf4ae820155c31

Observation 28314dbb-710f-4138-953e-65d53d0ba1ae · outbound

This paper cites Deep residual learning for image recognition.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Deep residual learning for image recognition

Reference 8

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no resolver link, observed 2026-08-15T18:19:43.650187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.650187Z digest=sha256:4c7a8b98cb09e000a5a2dc85d15f5c1c68074f3c0f7f617f1b40118d1952a7b8

Observation 80d14f6c-b082-4dfc-b082-710e91c53502 · outbound

This paper cites NeRF-Det++: Incorporat- ing semantic cues and perspective-aware depth supervision for indoor multi-view 3d detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction NeRF-Det++: Incorporat- ing semantic cues and perspective-aware depth supervision for indoor multi-view 3d detection

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.206120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.653535Z digest=sha256:840845705d5310135be02faf6008fdc371c2a709b1f46cc6a9dfcecf44707379

Observation d6087566-1791-4af1-8c24-4885ba77b7a1 · outbound

This paper cites BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 10

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no resolver link, observed 2026-08-15T18:19:43.657076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.657076Z digest=sha256:92e102abe675d7daac93f35110c8417a246a06eb6c552ea811b0cab2e1a223e1

Observation aa9126a0-7f33-4cd2-96fb-abf6338dbb08 · outbound

This paper cites UniDet3D: Multi-dataset Indoor 3D Object Detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction UniDet3D: Multi-dataset Indoor 3D Object Detection

Reference 11

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no resolver link, observed 2026-08-15T18:19:43.661984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.661984Z digest=sha256:f0041b86998bde78670d1298189e907bab39962f5aaad5cb42b1f8ba3b923d1b

Observation abc0bbd7-7425-4e61-9a34-bc982aa7a266 · outbound

This paper cites DFA3D: 3d deformable attention for 2d-to-3d feature lifting.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction DFA3D: 3d deformable attention for 2d-to-3d feature lifting

Reference 12

Resolution
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raw_fallback, observed 2026-08-15T18:19:44.195516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.665669Z digest=sha256:013761c63c351463464bf2b4273389f1b0d42c080238933482f1410d3013b1d8

Observation 9a41abaf-2be6-423c-b6dd-53d242239b6b · outbound

This paper cites VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection

Reference 13

Resolution
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no resolver link, observed 2026-08-15T18:19:43.669437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.669437Z digest=sha256:ff255996ad7a912d5f5d0c702431ef49b6bfff0e98cdfa5a25615dad37a7918e

Observation 5956a0b1-c958-4136-8571-c6361e00a16b · outbound

This paper cites BEVDepth: Acquisition of reliable depth for multi-view 3d object detec- tion.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction BEVDepth: Acquisition of reliable depth for multi-view 3d object detec- tion

Reference 14

Resolution
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raw_fallback, observed 2026-08-15T18:19:44.183560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.673938Z digest=sha256:4b8446f6aa121b34de8d7120b891dab7549cb57fb355321e7d1474a455e196c5

Observation d21a3c97-1116-4653-a8f9-42a57a67dcc3 · outbound

This paper cites V oxFormer: Sparse voxel transformer for camera- based 3d semantic scene completion.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction V oxFormer: Sparse voxel transformer for camera- based 3d semantic scene completion

Reference 15

Resolution
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raw_fallback, observed 2026-08-15T18:19:44.172344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.677167Z digest=sha256:b6dad3cb109abe11831b3036915cf42c2cdf7400476049109b014cbcda016209

Observation 4db7cc86-732d-4dfc-ac46-fed5729689df · outbound

This paper cites BEVFormer: Learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction BEVFormer: Learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers

Reference 16

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raw_fallback, observed 2026-08-15T18:19:44.162018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.680324Z digest=sha256:845387f0757f478af6ead7a26edf1a3e8753c388114f831ca00482775ead7f4f

Observation 0e8c5d07-1ff0-4b0b-89b9-21ccd4a707db · outbound

This paper cites GO-N3RDet: Geometry opti- mized nerf-enhanced 3d object detector.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction GO-N3RDet: Geometry opti- mized nerf-enhanced 3d object detector

Reference 17

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raw_fallback, observed 2026-08-15T18:19:44.150427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.683615Z digest=sha256:6a235a778087f2be96273240f82e1b4d6274e1ed3a9a6d0a59e2f6396cf89e0e

Observation e6dca1ba-2e33-4f2f-a130-22bd2bd8bd14 · outbound

This paper cites CascadeV-Det: Cascade Point Voting for 3D Object Detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction CascadeV-Det: Cascade Point Voting for 3D Object Detection

Reference 18

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local_arxiv, observed 2026-08-15T18:19:43.842521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.686821Z digest=sha256:ad97652fb1a16bafab5c7975d58a634aa5b9c29121386e81cf54b3f95e273113

Observation 5db0572c-1543-46bb-ac3c-4fe09fd76408 · outbound

This paper cites Feature pyramid networks for object detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Feature pyramid networks for object detection

Reference 19

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raw_fallback, observed 2026-08-15T18:19:44.138596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.690261Z digest=sha256:28a7587ba8a67d864c8f10734f749c8d553d7286bb7ee2cb864d24251b574d43

Observation 2e750016-6751-4ff3-8f6a-aa5b3f1d724a · outbound

This paper cites SparseBEV: High-performance sparse 3d object de- tection from multi-camera videos.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction SparseBEV: High-performance sparse 3d object de- tection from multi-camera videos

Reference 20

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raw_fallback, observed 2026-08-15T18:19:44.127557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.693223Z digest=sha256:dcd7dedc2463a34fb39d557becb7b6dd47c90c02597ba2fc19ae5f897ac6dc40

Observation 4aa453ce-c816-47a3-aed3-9194716cc3ff · outbound

This paper cites Fully sparse 3d occupancy prediction.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Fully sparse 3d occupancy prediction

Reference 21

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raw_fallback, observed 2026-08-15T18:19:44.117309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.696665Z digest=sha256:03f62521f6cf6b3667328c8f45fb4f8ee5c2146add91fb007accd488b9275a24

Observation 66174b45-ede6-49bc-aa7d-12d34f682187 · outbound

This paper cites PETR: Position embedding transformation for multi-view 3d object detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction PETR: Position embedding transformation for multi-view 3d object detection

Reference 22

Resolution
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raw_fallback, observed 2026-08-15T18:19:44.107122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.699989Z digest=sha256:63297ae584674968222feed9b99ad341da0c17601c9ffccd1c70d5d49976fbbe

Observation 6f469e3d-2756-41f7-8cdd-c0cafa5aa9ff · outbound

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

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 23

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no resolver link, observed 2026-08-15T18:19:43.703218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.703218Z digest=sha256:bffcae9d405c8dfc47d556ee8654032fa015450852dcfef5857990fb853dd0dc

Observation e1560505-822f-48ac-ad29-0c3820536142 · outbound

This paper cites Decoupled Weight Decay Regularization.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Decoupled Weight Decay Regularization

Reference 24

Resolution
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no resolver link, observed 2026-08-15T18:19:43.706805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.706805Z digest=sha256:3e25a2652a823ae742a498726bbcdb09df21a8509f1743704d6bb77415402729

Observation 9ea7fa02-9f5a-4bdb-9656-e61103b445bc · outbound

This paper cites Oc- treeOcc: Efficient and multi-granularity occupancy predic- tion using octree queries.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Oc- treeOcc: Efficient and multi-granularity occupancy predic- tion using octree queries

Reference 25

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raw_fallback, observed 2026-08-15T18:19:44.096518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.710096Z digest=sha256:7195758255b2b73c336545736b883aaa97274588466ce5c92ee716353905c9d6

Observation 6a95996b-5dc1-485d-b619-7c02df888c3b · outbound

This paper cites Deep hough voting for 3d object detection in point clouds.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Deep hough voting for 3d object detection in point clouds

Reference 26

Resolution
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raw_fallback, observed 2026-08-15T18:19:44.086639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.714161Z digest=sha256:7eb4de3ff6c024bf215af27e943a0c10e5d359c25a2fe2276f5f79d1f76a8c3a

Observation d3c5df1d-a52c-4866-a2a5-efb4e4bf05ae · outbound

This paper cites Language- grounded indoor 3d semantic segmentation in the wild.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Language- grounded indoor 3d semantic segmentation in the wild

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:43.718174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.718174Z digest=sha256:f230b76fe415e9c4778be0b856e39f27cecbd08dc1fdd8503b99846168204e75

Observation 161f481c-1d0c-4f0d-a02e-9e3bbc2d6eb7 · outbound

This paper cites FCAF3D: Fully convolutional anchor-free 3d object detec- tion.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction FCAF3D: Fully convolutional anchor-free 3d object detec- tion

Reference 28

Resolution
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raw_fallback, observed 2026-08-15T18:19:44.070164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.721460Z digest=sha256:d0cc91d58d0b1f8ec72520546ebc899b57c2b5be88aa4904b5ff98709e16ce2d

Observation 656d4941-5da4-4543-9bbc-697a407240c6 · outbound

This paper cites ImV oxelNet: Image to voxels projection for monocular and multi-view general-purpose 3d object detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction ImV oxelNet: Image to voxels projection for monocular and multi-view general-purpose 3d object detection

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.060175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.724963Z digest=sha256:45d494c33b139087035ab7424c71c40fb48a06fbe6bc93b3b5fb3e6761499bbf

Observation eb9192f1-80dc-4929-a5b9-364992fcde9a · outbound

This paper cites CN-RMA: Combined network with ray marching aggrega- tion for 3d indoor object detection from multi-view images.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction CN-RMA: Combined network with ray marching aggrega- tion for 3d indoor object detection from multi-view images

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.049849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.728281Z digest=sha256:ac88cd80cfe6102fe3aa88a57a177963e41b9346defeb0dc1af128629a1b7882

Observation dfff186b-5d02-4615-bbc7-bbfbdc68a26b · outbound

This paper cites Im- GeoNet: Image-induced geometry-aware voxel representa- tion for multi-view 3d object detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Im- GeoNet: Image-induced geometry-aware voxel representa- tion for multi-view 3d object detection

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.038016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.732622Z digest=sha256:a9a76c37bc6bd7b2f6c25e2ce1cd6b4d9ea5ea6be8ed890f6e0bd2198bf3ecb7

Observation 52c1815b-234e-456a-aeff-da7457c1d12c · outbound

This paper cites CA- Group3D: Class-aware grouping for 3d object detection on point clouds.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction CA- Group3D: Class-aware grouping for 3d object detection on point clouds

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.026338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.735851Z digest=sha256:d3e821ec398a964bef4aa9f306d35e9200a6ffb4851aefa69e0bd6b12b17e43f

Observation da89db84-621b-48f6-8e89-477d60c7943c · outbound

This paper cites OPUS: Occupancy prediction using a sparse set.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction OPUS: Occupancy prediction using a sparse set

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.014299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.739140Z digest=sha256:d4ce3c9999f0ec3c88d282f3bd752e9587581be702934fb31f743f8209b13b67

Observation a0f73c7a-51e6-4acd-bd19-184aed544d0c · outbound

This paper cites EmbodiedScan: A holistic multi- modal 3d perception suite towards embodied AI.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction EmbodiedScan: A holistic multi- modal 3d perception suite towards embodied AI

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.002828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.742367Z digest=sha256:1b34276cd666edf34ebabf0a6864f45ce8564bc23534273280c453253086e784

Observation 77eb54a6-1578-4448-a9e9-ad789959d202 · outbound

This paper cites DETR3D: 3d object detection from multi-view images via 3d-to-2d queries.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction DETR3D: 3d object detection from multi-view images via 3d-to-2d queries

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:43.992553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.746582Z digest=sha256:8e132c182a572e3e1c3fe7185a2a1890273adf930586984b071610f83c1973a4

Observation e34383c4-80c0-4bf1-b66a-504161d38455 · outbound

This paper cites Attention is all you need.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Attention is all you need

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:43.981300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.750444Z digest=sha256:0067a68d135eea601e9309174d15f0c1d5f63ef1b8d51a18e4d7b4b3278e7695

Observation a1569dcf-dc0a-43ed-8f26-4fe66b556e32 · outbound

This paper cites Pixel-aligned recurrent queries for multi-view 3d object detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Pixel-aligned recurrent queries for multi-view 3d object detection

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:43.970296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.754280Z digest=sha256:0ecd193623d2f8f2c8b734fbc7a815087792f3c6b1fba92a0ba2c17b90aa54f7

Observation 16183f49-ee0c-4c03-9673-6b115103dfd8 · outbound

This paper cites NeRF-Det: Learning geometry-aware volumetric representation for multi-view 3d object detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction NeRF-Det: Learning geometry-aware volumetric representation for multi-view 3d object detection

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:43.959268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.757725Z digest=sha256:5f05e84ecd922138c9c6b7810ef46510b3297152ba78b017f2877801c2c71359

Observation aab3ae61-3671-4cd8-9996-90a1a380dd41 · outbound

This paper cites Unifying flow, stereo and depth estimation.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Unifying flow, stereo and depth estimation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:43.941402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.764637Z digest=sha256:cbc5a005d67114355160f118fd2ae07eb5008202b85db5518ed0512738f85c57

Observation 402b0588-40b0-433c-b66a-b8999abb7279 · outbound

This paper cites MVSDet: Multi- view indoor 3d object detection via efficient plane sweeps.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction MVSDet: Multi- view indoor 3d object detection via efficient plane sweeps

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:43.929570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.768056Z digest=sha256:84db2fd765b386be963df4ae1d7be5a16b7f99eb4a540d51a9dd39a728a231aa

Observation 1f2fb457-35e3-4890-b48c-97d2ede8f69d · outbound

This paper cites MVSNet: Depth inference for unstructured multi- view stereo.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction MVSNet: Depth inference for unstructured multi- view stereo

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:43.918972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.772661Z digest=sha256:dfeface313c508af79492f588bae7ce5a0cbd1c70bf0a8c0cee0cddc53d7e8e5

Observation 077bbc2f-64b5-447d-9263-654229fd2320 · outbound

This paper cites Context and geometry aware voxel transformer for semantic scene completion.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Context and geometry aware voxel transformer for semantic scene completion

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:43.907844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.776468Z digest=sha256:57fa21250bc347ec9255ea5d076e51f168d68269a3bbd4ba9a461463b7bccdfb

Observation a70232c2-60cf-4043-974e-9dbc2130329d · outbound

This paper cites H3DNet: 3d object detection using hybrid geometric prim- itives.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction H3DNet: 3d object detection using hybrid geometric prim- itives

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:43.895048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.779994Z digest=sha256:fceca6390538e0c37b28ef454a036861248c9a8758dadfa0e15b20b5c1d5e6dc

Observation 501fbb30-549c-4080-9105-6aacf674fd2c · outbound

This paper cites an unresolved cited work.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Unresolved cited work

Reference 2023

Resolution
parse uncertain
no resolver link, observed 2026-08-15T18:19:43.761346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.761346Z digest=sha256:4d2c74377c957029678cc7d142b838b4e9a317456370035d330d8f3a8837532a

Pith citing papers

No inbound Pith citation observations are available.