Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T10:42:01.073080Z
Paper Citation Record · LEDGER
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection
As of 14 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 3 inbound Pith citation observations for arXiv:2507.23567.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:38:59.086885Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T02:57:11.800477Z
Reference resolution
67 of 67 outbound references displayed
- verified exact0
- verified fuzzy40
- unresolved26
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fdf0b8cf-5a88-4248-a0b4-8ab2138d83b6 · outbound
This paper cites Objectron: A large scale dataset of object-centric videos in the wild with pose anno- tations.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Objectron: A large scale dataset of object-centric videos in the wild with pose anno- tations.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.619437Z
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.
Observation 7d51f48b-aadd-49b7-b403-2e8daf03b34f · outbound
This paper cites ARK- itscenes - a diverse real-world dataset for 3d indoor scene understanding using mobile RGB-d data.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection ARK- itscenes - a diverse real-world dataset for 3d indoor scene understanding using mobile RGB-d data
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.611248Z
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.
Observation bf0dfa08-d5bc-4d37-a9ef-0fbea5712f96 · outbound
This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Depth Pro: Sharp Monocular Metric Depth in Less Than a Second
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:00.907006Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af31f20b-466a-4462-bb14-71abc8ca1f06 · outbound
This paper cites Omni3d: A large benchmark and model for 3d object detection in the wild.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Omni3d: A large benchmark and model for 3d object detection in the wild
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.602685Z
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.
Observation 91c8403f-52fc-4aab-91cf-3c7dc2cb5bb6 · outbound
This paper cites nuScenes: A multimodal dataset for autonomous driving.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection nuScenes: A multimodal dataset for autonomous driving
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:00.913116Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bba8314b-7f0b-428b-90a0-137c97bb6df6 · outbound
This paper cites End-to- end object detection with transformers.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection End-to- end object detection with transformers
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.594562Z
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.
Observation ddcec91a-5e94-4dbd-b8fd-9fda3afe1aed · outbound
This paper cites YOLO-World: Real-Time Open-Vocabulary Object Detection.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection YOLO-World: Real-Time Open-Vocabulary Object Detection
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:00.918835Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d3ea326-68a3-43c4-a804-647bb19ce6c6 · outbound
This paper cites Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Nießner.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Nießner
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.586360Z
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.
Observation 861526cf-a957-44b4-a9e2-fa643786b21d · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:00.924084Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14e1d856-d00c-47fc-9962-52a62b65339f · outbound
This paper cites Towards real-time monocular depth estimation for robotics: A survey.IEEE Transactions on Intelligent Transportation Systems, 23(10):16940–16961,.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Towards real-time monocular depth estimation for robotics: A survey.IEEE Transactions on Intelligent Transportation Systems, 23(10):16940–16961,
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:00.926810Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd4b8411-3372-4ff4-8577-3feedbce634b · outbound
This paper cites Depth map prediction from a single image using a multi-scale deep net- work.Advances in Neural Information Processing Systems (NeurIPS), 27, 2014.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Depth map prediction from a single image using a multi-scale deep net- work.Advances in Neural Information Processing Systems (NeurIPS), 27, 2014
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.572655Z
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.
Observation b3852928-2dbd-417e-af2e-dcc5bb1e3b33 · outbound
This paper cites Cc-3dt: Panoramic 3d object tracking via cross-camera fusion.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Cc-3dt: Panoramic 3d object tracking via cross-camera fusion
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.563875Z
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.
Observation 80b34638-ebbf-4136-80b9-04764453a65e · outbound
This paper cites Cross-domain few-shot object detection via enhanced open-set object detector.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Cross-domain few-shot object detection via enhanced open-set object detector
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.555645Z
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.
Observation 4878b13e-59e6-42ef-b6b2-48f0272009ff · outbound
This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Are we ready for autonomous driving? the kitti vision benchmark suite
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.547410Z
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.
Observation ca019b5e-aba8-46af-91b9-e43144ee9b9c · outbound
This paper cites Deep residual learning for image recognition.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Deep residual learning for image recognition
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:00.938983Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b078763f-c91e-4b37-90e7-bb3afdff6075 · outbound
This paper cites Sequential multi-object grasping with one dexterous hand.IROS, 2025.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Sequential multi-object grasping with one dexterous hand.IROS, 2025
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.533544Z
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.
Observation 8f5f0c3a-1590-47d7-8435-dd684ce0cefd · outbound
This paper cites Monocular quasi-dense 3d object tracking.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2):1992–2008, 2022.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Monocular quasi-dense 3d object tracking.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2):1992–2008, 2022
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.525212Z
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.
Observation ac08359a-fae2-4f71-bf8e-d4462bf9f566 · outbound
This paper cites Training an open-vocabulary monocular 3d detection model without 3d data.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Training an open-vocabulary monocular 3d detection model without 3d data
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.516453Z
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.
Observation 01f8b822-2fb5-4bbc-934a-68c165058032 · outbound
This paper cites Segment Anything.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Segment Anything
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:00.948559Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d5174a3-88b7-4bfa-a707-1dbea571b21b · outbound
This paper cites 3d-rcnn: Instance-level 3d object reconstruction via render-and- compare.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection 3d-rcnn: Instance-level 3d object reconstruction via render-and- compare
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.508206Z
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.
Observation 29b1df6e-1b9c-4938-8791-e1d8e5e62d2e · outbound
This paper cites Grounded language-image pre-training.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Grounded language-image pre-training
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.499579Z
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.
Observation aa3b2e12-822b-4e27-a50c-77f6bfcf1f42 · outbound
This paper cites BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:00.957398Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9c23551-6191-4d91-bb2f-2c3b23700608 · outbound
This paper cites Unimode: Unified monocular 3d object detection.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Unimode: Unified monocular 3d object detection
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.491516Z
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.
Observation 23e5ecb3-638e-4f21-ab1a-1fdfe362e9c8 · outbound
This paper cites Feature pyra- mid networks for object detection.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Feature pyra- mid networks for object detection
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.482898Z
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.
Observation 534d9725-5280-45d3-aa1e-69eee1b9382e · outbound
This paper cites Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:00.965776Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0eb3317-79d2-4e5b-b84d-110c25925d07 · outbound
This paper cites Sparse4D v3: Advancing End-to-End 3D Detection and Tracking.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Sparse4D v3: Advancing End-to-End 3D Detection and Tracking
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:00.968635Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf10aaed-8dd9-4684-937b-e0ee92935092 · outbound
This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:00.971404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 507ae2ae-3001-4de1-8154-32012bf24a6b · outbound
This paper cites PETR: Position Embedding Transformation for Multi-View 3D Object Detection.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection PETR: Position Embedding Transformation for Multi-View 3D Object Detection
Reference 28
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- unresolved
- no resolver link, observed 2026-08-06T10:42:00.974207Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d33778fe-fb48-4031-989a-19cdce9a8574 · outbound
This paper cites Smoke: Single- stage monocular 3d object detection via keypoint estimation.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Smoke: Single- stage monocular 3d object detection via keypoint estimation
Reference 29
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- unresolved
- no resolver link, observed 2026-08-06T10:42:00.976982Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6dd50f0-a6e8-4ce6-87bc-8c227784b91b · outbound
This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Swin transformer: Hierarchical vision transformer using shifted windows
Reference 30
- Resolution
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- raw_fallback, observed 2026-08-06T10:42:01.469599Z
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.
Observation 128143e6-b46b-4764-94cb-c5fb750a2b41 · outbound
This paper cites A convnet for the 2020s.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection A convnet for the 2020s
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:00.982646Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ecda1e8-516b-4ef4-85be-1e7dc9be4b01 · outbound
This paper cites Shift r-cnn: Deep monocular 3d object detection with closed-form geometric constraints.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Shift r-cnn: Deep monocular 3d object detection with closed-form geometric constraints
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.455698Z
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.
Observation c94ca5bd-f02b-46c3-894b-b735bdace404 · outbound
This paper cites Scalable parallel programming with cuda: Is cuda the parallel programming model that application developers have been waiting for?Queue, 6(2):40–53, 2008.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Scalable parallel programming with cuda: Is cuda the parallel programming model that application developers have been waiting for?Queue, 6(2):40–53, 2008
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.447083Z
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.
Observation 855e896a-a1b3-42d6-90b5-b20e7d2ed2a2 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection DINOv2: Learning Robust Visual Features without Supervision
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:00.990249Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ab23123-b844-49af-8e88-c77fe4dbf8a7 · outbound
This paper cites Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:00.992859Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47e0b47e-52da-45c3-ae74-459c17300c48 · outbound
This paper cites Is pseudo-lidar needed for monocular 3d object detection? InIEEE/CVF International Conference on Computer Vision (ICCV), 2021.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Is pseudo-lidar needed for monocular 3d object detection? InIEEE/CVF International Conference on Computer Vision (ICCV), 2021
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.438323Z
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.
Observation 73141282-d92d-4c36-b876-d5c52544b19c · outbound
This paper cites Py- torch: An imperative style, high-performance deep learning library.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Py- torch: An imperative style, high-performance deep learning library
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.430192Z
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.
Observation 41c620fb-1b4e-4e7d-83a5-1a2cdbd11ff4 · outbound
This paper cites UniDepth: Universal monocular metric depth estimation.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection UniDepth: Universal monocular metric depth estimation
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.421953Z
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.
Observation 0e98b48e-f9ef-475e-88d1-96b5eef1225d · outbound
This paper cites UniK3D: Universal camera monocular 3d estimation.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection UniK3D: Universal camera monocular 3d estimation
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.413608Z
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.
Observation 4b9d058a-3cbe-4b23-9615-b721960e2f2c · outbound
This paper cites UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:01.005651Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 280d2240-afea-477b-9b6e-a8f8aa9e2285 · outbound
This paper cites Learning transferable visual models from natural language supervi- sion.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Learning transferable visual models from natural language supervi- sion
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:01.008277Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38061747-79d6-47e5-a833-19f164ba5681 · outbound
This paper cites Generalized in- tersection over union: A metric and a loss for bounding box regression.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Generalized in- tersection over union: A metric and a loss for bounding box regression
Reference 42
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- unresolved
- no resolver link, observed 2026-08-06T10:42:01.010618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 606c97e4-2491-49aa-8fc1-e9f680045545 · outbound
This paper cites Susskind.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Susskind
Reference 43
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- unresolved
- no resolver link, observed 2026-08-06T10:42:01.013113Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c67bf58e-f12a-48f1-85d9-c7c5b9efc9e2 · outbound
This paper cites Imvoxelnet: Image to voxels projection for monocular and multi-view general-purpose 3d object detection.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Imvoxelnet: Image to voxels projection for monocular and multi-view general-purpose 3d object detection
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.390542Z
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.
Observation ff269098-c4bb-41c4-9985-228880c550aa · outbound
This paper cites Structure-from-motion revisited.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Structure-from-motion revisited
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:01.018171Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da8fa163-83d6-4379-bd57-9bda94adf2eb · outbound
This paper cites Pixelwise view selection for un- structured multi-view stereo.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Pixelwise view selection for un- structured multi-view stereo
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:01.020537Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e6f499f-7ea3-48fe-a507-f766549fcebd · outbound
This paper cites Sun rgb-d: A rgb-d scene understanding benchmark suite.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Sun rgb-d: A rgb-d scene understanding benchmark suite
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.371407Z
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.
Observation 216d5935-cf88-4108-a468-a801626f1c24 · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Gemini: A Family of Highly Capable Multimodal Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:01.025423Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97e63816-4064-408b-ad67-ba648f66a9e6 · outbound
This paper cites Im- geonet: Image-induced geometry-aware voxel representation for multi-view 3d object detection.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Im- geonet: Image-induced geometry-aware voxel representation for multi-view 3d object detection
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.362848Z
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.
Observation 1d2b1216-894d-424f-a517-3ec8514c14e7 · outbound
This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 2017.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Attention is all you need.Advances in Neural Information Processing Systems, 2017
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.354813Z
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.
Observation 3ad6a563-3390-4a70-8bde-54dab715ab30 · outbound
This paper cites Fcos3d: Fully convolutional one-stage monocular 3d object detection.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Fcos3d: Fully convolutional one-stage monocular 3d object detection
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.346458Z
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.
Observation c94a7730-e6d0-4c2e-9d24-32097d308b90 · outbound
This paper cites Probabilistic and geometric depth: Detecting objects in per- spective.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Probabilistic and geometric depth: Detecting objects in per- spective
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.337866Z
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.
Observation 857965ea-e48a-468e-aa6a-ebc3b6d74f0f · outbound
This paper cites Pseudo- lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Pseudo- lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.329426Z
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.
Observation a0079fec-cc53-4bf9-9009-1c924e738ff3 · outbound
This paper cites Argoverse 2: Next generation datasets for self-driving perception and fore- casting.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Argoverse 2: Next generation datasets for self-driving perception and fore- casting
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.321116Z
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.
Observation 5be9a1b3-a74d-473b-a214-14c85e665693 · outbound
This paper cites Qiao, Lewei Lu, Jie Zhou, and Jifeng Dai.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Qiao, Lewei Lu, Jie Zhou, and Jifeng Dai
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.312990Z
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.
Observation 8f404a29-2e1d-4488-8ed2-942625f1fca3 · outbound
This paper cites Huang, Ren ´e Zurbr¨ugg, Tao Sun, and Fisher Yu.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Huang, Ren ´e Zurbr¨ugg, Tao Sun, and Fisher Yu
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.305060Z
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.
Observation 6797076e-11f1-4af6-b910-26ffa7a2fd70 · outbound
This paper cites Center- based 3d object detection and tracking.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Center- based 3d object detection and tracking
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:01.048100Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e35c48c4-8913-41eb-a42e-5fd3661ef217 · outbound
This paper cites Metric3d: Towards zero-shot metric 3d prediction from a single image.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Metric3d: Towards zero-shot metric 3d prediction from a single image
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.291569Z
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.
Observation c4e14899-8642-4a0a-9882-e7edf8b94145 · outbound
This paper cites Deep layer aggregation.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Deep layer aggregation
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.282217Z
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.
Observation 143c6077-e044-4317-bde8-f5f4786e205b · outbound
This paper cites Open-vocabulary detr with conditional matching.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Open-vocabulary detr with conditional matching
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.273529Z
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.
Observation 097708ff-4bef-47d6-acea-caa0869dc95a · outbound
This paper cites Open-vocabulary object detection using captions.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Open-vocabulary object detection using captions
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.264133Z
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.
Observation 2aedeeeb-25e1-420c-9dd8-8ac396735149 · outbound
This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:01.060542Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d97dfcc-3f2e-4a20-8fe6-b239aa42e960 · outbound
This paper cites Monodetr: Depth- guided transformer for monocular 3d object detection.ICCV 2023, 2022.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Monodetr: Depth- guided transformer for monocular 3d object detection.ICCV 2023, 2022
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.255593Z
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.
Observation 45e8d754-781f-409c-999e-6debc3a739d7 · outbound
This paper cites An Open and Comprehensive Pipeline for Unified Object Grounding and Detection.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection An Open and Comprehensive Pipeline for Unified Object Grounding and Detection
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:42:01.065564Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc2ffa97-94c4-4044-9451-5c8e514329b7 · outbound
This paper cites Does computer vision matter for action?Science Robotics, 4,.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Does computer vision matter for action?Science Robotics, 4,
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.247362Z
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.
Observation d6f695df-b653-40ec-9b11-4705960e95b3 · outbound
This paper cites Detecting twenty-thousand classes using image-level supervision.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Detecting twenty-thousand classes using image-level supervision
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:42:01.238701Z
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.
Observation 8c89d1a0-db68-44e3-8f41-3926c9ddab0f · outbound
This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Deformable DETR: Deformable Transformers for End-to-End Object Detection
Reference 67
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-06T10:42:01.073080Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 1f64fde7-d9ad-4aa0-a662-e6ef6d713ba1 · inbound
PLOT: Pseudo-Labeling via Object Tracking for Monocular 3D Object Detection cites this paper.
PLOT: Pseudo-Labeling via Object Tracking for Monocular 3D Object Detection 3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:38:59.086885Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 896f1474-7f19-4eda-8ed9-de9fb701ff33 · inbound
RAD: Retrieval-Augmented Monocular Metric Depth Estimation for Underrepresented Classes cites this paper.
RAD: Retrieval-Augmented Monocular Metric Depth Estimation for Underrepresented Classes 3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T02:57:11.803753Z
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.
Observation 14e18396-47b2-41f8-9537-1a0157a41913 · inbound
WildDet3D: Scaling Promptable 3D Detection in the Wild cites this paper.
WildDet3D: Scaling Promptable 3D Detection in the Wild 3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:26:00.640343Z
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.