Paper Citation Record · LEDGER

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection

As of 9 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 3 inbound Pith citation observations for arXiv:2506.04623.

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

pith.paper-citation-record.v1
2506.04623 v1

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:44:39.773683Z

measured 92 of 92 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:24:23.190818Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:33:27.972020Z

Reference resolution

89 of 89 outbound references displayed

verified exact8
verified fuzzy48
unresolved33
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7de0928d-67e1-4a9c-b88d-a6cb4452b422 · outbound

This paper cites Social lstm: Human trajectory prediction in crowded spaces.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Social lstm: Human trajectory prediction in crowded spaces

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:32.706523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e87d0bf1-58bb-4969-85cd-3ecaf94929f1 · outbound

This paper cites Three Cars Approaching within 100m! Enhancing Distant Geometry by Tri-Axis Voxel Scanning for Camera-based Semantic Scene Completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Three Cars Approaching within 100m! Enhancing Distant Geometry by Tri-Axis Voxel Scanning for Camera-based Semantic Scene Completion

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:44:40.298728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4def9f36-0e5f-4ffa-9322-127bfd59e1aa · outbound

This paper cites Semantickitti: A dataset for semantic scene understanding of lidar sequences.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Semantickitti: A dataset for semantic scene understanding of lidar sequences

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:32.870789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faad4b38-5e86-41c6-b1b5-db103f137cbd · outbound

This paper cites Semantickitti: A dataset for semantic scene understanding of lidar sequences.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Semantickitti: A dataset for semantic scene understanding of lidar sequences

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:32.955158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9dafacf-b749-4b0c-947d-01bbcd77b259 · outbound

This paper cites Adabins: Depth estimation using adaptive bins.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Adabins: Depth estimation using adaptive bins

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:33.060150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 852b602a-9865-41a8-9363-0ac1058dc0e7 · outbound

This paper cites Monoscene: Monocular 3d semantic scene completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Monoscene: Monocular 3d semantic scene completion

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:33.228624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45198415-89a7-4c05-a4ab-cb273612058a · outbound

This paper cites Pasco: Urban 3d panoptic scene completion with uncertainty awareness.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Pasco: Urban 3d panoptic scene completion with uncertainty awareness

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:33.365579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14c6a6d3-b5f1-4e73-b90c-5ad9b7f06d75 · outbound

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

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection End-to-end object detection with transformers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:33.451770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be394b1c-2e96-4315-84a1-f9be8de87b95 · outbound

This paper cites GaussRender: Learning 3D Occupancy with Gaussian Rendering.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection GaussRender: Learning 3D Occupancy with Gaussian Rendering

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:33.539610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96458391-773d-454d-a533-3e2d4f8bf491 · outbound

This paper cites Domain adaptive faster r-cnn for object detection in the wild.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Domain adaptive faster r-cnn for object detection in the wild

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:33.652764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d8f69fe-8394-4b18-888f-caa3d5cfec08 · outbound

This paper cites Disen- tangle your dense object detector.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Disen- tangle your dense object detector

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:33.764904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ec2afea-4b64-4ba7-8030-86844f755cf8 · outbound

This paper cites 3d u-net: learning dense volumetric segmentation from sparse annotation.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection 3d u-net: learning dense volumetric segmentation from sparse annotation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.766781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e640fb16-fff3-4ebb-a661-3d81d05a0ea9 · outbound

This paper cites Deformable convolutional networks.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Deformable convolutional networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:33.951600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f5d43b0-20ae-4b48-891a-418ce3f7619a · outbound

This paper cites Worldscore: A unified evaluation benchmark for world generation.arXiv preprint arXiv:2504.00983, 2025.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Worldscore: A unified evaluation benchmark for world generation.arXiv preprint arXiv:2504.00983, 2025

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:34.040500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9121a374-af41-4d2c-a15e-b7048b053227 · outbound

This paper cites MIT press, 1993.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection MIT press, 1993

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.753269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c1a075e8-1536-48b1-88ef-146e07941711 · outbound

This paper cites Two stream 3d semantic scene completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Two stream 3d semantic scene completion

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.744798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7e9ebb3d-fc93-4916-a73e-941292dcafd3 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:34.298345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ad22272-4770-42ae-af07-369a120a4efe · outbound

This paper cites Fast r-cnn.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Fast r-cnn

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:34.393084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcb51231-69e7-40f6-865d-776f4ffe4c61 · outbound

This paper cites Sgformer: Satellite-ground fusion for 3d semantic scene completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Sgformer: Satellite-ground fusion for 3d semantic scene completion

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.725218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c1fa58b-fb81-47a3-a56a-acadcb8a6237 · outbound

This paper cites Masked autoencoders are scalable vision learners.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Masked autoencoders are scalable vision learners

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.716474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 37c60be4-db14-47e5-9ba0-9c6f1bff364d · outbound

This paper cites Deep residual learning for image recognition.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Deep residual learning for image recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.707505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a822c3ee-55eb-4a46-ba5b-3c622c782e61 · outbound

This paper cites Tri-perspective view for vision-based 3d semantic occupancy prediction.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Tri-perspective view for vision-based 3d semantic occupancy prediction

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.698722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6df1b956-179c-4f47-bdee-4f0c73a70d3a · outbound

This paper cites Symphonize 3d semantic scene completion with contextual instance queries.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Symphonize 3d semantic scene completion with contextual instance queries.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.689089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9655e51a-82ab-4a6d-969b-49bf2209418c · outbound

This paper cites Cornernet: Detecting objects as paired keypoints.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Cornernet: Detecting objects as paired keypoints

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:34.953253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d74ac408-00a6-4468-a8d9-acf7abd5b406 · outbound

This paper cites Hierarchical temporal context learning for camera-based semantic scene completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Hierarchical temporal context learning for camera-based semantic scene completion

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.675959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 611b32f4-2d5c-48fa-a93f-055cef8bd1cb · outbound

This paper cites Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:35.121047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c1e29f8-ffa6-4930-ac55-936674326af9 · outbound

This paper cites Instantsplamp: Fast and generalizable stenography framework for generative gaussian splatting.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Instantsplamp: Fast and generalizable stenography framework for generative gaussian splatting

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.666928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 46fb80b0-f3ca-4830-80a2-aec72e843995 · outbound

This paper cites U-kan makes strong backbone for medical image segmentation and generation.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection U-kan makes strong backbone for medical image segmentation and generation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:35.283251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51dec6ca-4f57-46bf-817d-776f85cc3f74 · outbound

This paper cites OccMamba: Semantic Occupancy Prediction with State Space Models.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection OccMamba: Semantic Occupancy Prediction with State Space Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:35.362608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 112ba65a-ca27-432b-90e8-f3edcf565a1c · outbound

This paper cites Htd: Heterogeneous task decoupling for two-stage object detection.IEEE Transactions on Image Processing, 30:9456–9469, 2021.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Htd: Heterogeneous task decoupling for two-stage object detection.IEEE Transactions on Image Processing, 30:9456–9469, 2021

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.654254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5d3f6767-04fa-4d36-8457-8a0e746968df · outbound

This paper cites Scan: Cross domain object detection with semantic conditioned adaptation.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Scan: Cross domain object detection with semantic conditioned adaptation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.646510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3aade382-6f84-4065-9781-1d189f443762 · outbound

This paper cites Sigma: Semantic-complete graph matching for domain adaptive object detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Sigma: Semantic-complete graph matching for domain adaptive object detection

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.638835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6706dda3-2fc0-444e-b1b4-1422c5b2b7d6 · outbound

This paper cites Unifying voxel- based representation with transformer for 3d object detection.Advances in Neural Information Processing Systems, 35:18442–18455, 2022.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Unifying voxel- based representation with transformer for 3d object detection.Advances in Neural Information Processing Systems, 35:18442–18455, 2022

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.630723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 08434535-a2dd-4909-a154-ce4477481271 · outbound

This paper cites Sscbench: A large-scale 3d semantic scene completion benchmark for autonomous driving, 2024.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Sscbench: A large-scale 3d semantic scene completion benchmark for autonomous driving, 2024

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.621756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 84e89480-03ae-4e65-81f9-18e664c89438 · outbound

This paper cites Choy, Chaowei Xiao, José M.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Choy, Chaowei Xiao, José M

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.613197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b090fac3-d936-4e84-9df2-06f50138bc7d · outbound

This paper cites Skip Mamba Diffusion for Monocular 3D Semantic Scene Completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Skip Mamba Diffusion for Monocular 3D Semantic Scene Completion

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:44:40.200213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5f79c07f-652e-46bf-8c5c-85dbf45a4c16 · outbound

This paper cites Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 3292–3310, 2022.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 3292–3310, 2022

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.605438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4bf206eb-5c83-4db1-87e4-20660ab71fa9 · outbound

This paper cites Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3):3292–3310, 2022.

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.597135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5f802b2e-e492-42bc-bbe0-00fb61a18765 · outbound

This paper cites Feature pyramid networks for object detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Feature pyramid networks for object detection

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.586981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8475264d-cfe3-4dc3-a681-3e61b603b970 · outbound

This paper cites Focal loss for dense object detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Focal loss for dense object detection

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.577660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 673ebd08-149d-4e70-b6b4-73bc789f4c49 · outbound

This paper cites Lgs: A light-weight 4d gaussian splatting for efficient surgical scene reconstruction.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Lgs: A light-weight 4d gaussian splatting for efficient surgical scene reconstruction

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.569389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a45d367c-d8bc-4149-be3a-e27d0dcc8cb7 · outbound

This paper cites X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:44:40.189783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dc732074-fa27-474c-a6fd-ef8412295c50 · outbound

This paper cites Decoupled Weight Decay Regularization.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Decoupled Weight Decay Regularization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:36.675644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b229385-39a7-42e5-a43a-91c778e18b94 · outbound

This paper cites DETRs Beat YOLOs on Real-time Object Detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection DETRs Beat YOLOs on Real-time Object Detection

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:36.755868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7444cf5c-d0a2-47e3-bc0c-2a3f94831786 · outbound

This paper cites Camera-based 3D Semantic Scene Completion with Sparse Guidance Network.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Camera-based 3D Semantic Scene Completion with Sparse Guidance Network

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:44:40.166112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 156f4522-059d-4f54-a091-35545709aa58 · outbound

This paper cites Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object Detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object Detection

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:44:40.155165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6a6d2e64-2550-43eb-a907-5275fe594b38 · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.560629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dc077b2a-8d62-4287-b92f-bd05650ce6b2 · outbound

This paper cites Borderdet: Border feature for dense object detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Borderdet: Border feature for dense object detection

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.552039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 28dab664-304a-40ff-bd14-eb1e24eed0e4 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.IEEE transactions on pattern analysis and machine intelligence, 39(6):1137–1149, 2016.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks.IEEE transactions on pattern analysis and machine intelligence, 39(6):1137–1149, 2016

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:37.084954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93dfe922-c72e-4735-ab70-461760a5f547 · outbound

This paper cites Semantic scene completion using local deep implicit functions on lidar data.IEEE transactions on pattern analysis and machine intelligence, 44(10):7205–7218, 2021.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Semantic scene completion using local deep implicit functions on lidar data.IEEE transactions on pattern analysis and machine intelligence, 44(10):7205–7218, 2021

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.539330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2cf08de4-3025-4d63-a9ab-511ca43a84a9 · outbound

This paper cites Lmscnet: Lightweight multiscale 3d semantic completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Lmscnet: Lightweight multiscale 3d semantic completion

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.530112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bad88318-d37b-4366-bea3-8891a2a1854f · outbound

This paper cites 3d semantic scene completion: A survey.International Journal of Computer Vision, 130(8):1978–2005, 2022.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection 3d semantic scene completion: A survey.International Journal of Computer Vision, 130(8):1978–2005, 2022

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.522508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fcf6f17b-78d2-4929-b417-028059891be5 · outbound

This paper cites Mobilestereonet: Towards lightweight deep networks for stereo matching.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Mobilestereonet: Towards lightweight deep networks for stereo matching

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.514194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9519cd19-d517-4819-992a-5cbaaa485ff3 · outbound

This paper cites Revisiting the sibling head in object detector.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Revisiting the sibling head in object detector

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.505087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8407d5b7-31bc-4915-857d-faa7a349269b · outbound

This paper cites Chang, Manolis Savva, and Thomas A.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Chang, Manolis Savva, and Thomas A

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.496884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 48052458-3c10-46a2-9878-c89c2bb6e4e9 · outbound

This paper cites Fcos: Fully convolutional one-stage object detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Fcos: Fully convolutional one-stage object detection

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:37.626205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eddb841-f96e-4fca-932a-a26ab6457ca9 · outbound

This paper cites V oxel proposal network via multi-frame knowledge distillation for semantic scene completion.Advances in Neural Information Processing Systems, 37:101096–101115, 2024.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection V oxel proposal network via multi-frame knowledge distillation for semantic scene completion.Advances in Neural Information Processing Systems, 37:101096–101115, 2024

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.483409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eedaf682-0cca-4c37-804a-92ab14f81a05 · outbound

This paper cites Vlscene: Vision- language guidance distillation for camera-based 3d semantic scene completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Vlscene: Vision- language guidance distillation for camera-based 3d semantic scene completion

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.474374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bcad2f04-85c7-4bec-96a9-9059cc99bfef · outbound

This paper cites Nas-fcos: Fast neural architecture search for object detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Nas-fcos: Fast neural architecture search for object detection

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.465703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 513c7aa8-0582-458e-8990-4b546ca68fbb · outbound

This paper cites L2COcc: Lightweight Camera-Centric Semantic Scene Completion via Distillation of LiDAR Model.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection L2COcc: Lightweight Camera-Centric Semantic Scene Completion via Distillation of LiDAR Model

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:37.840700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b81efc28-d28c-40e2-9e68-174ee00f5f1f · outbound

This paper cites Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:44:40.138189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 84379e89-4513-4720-bb8b-eac96b11c32c · outbound

This paper cites Fcos3d: Fully convolutional one-stage monocular 3d object detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Fcos3d: Fully convolutional one-stage monocular 3d object detection

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.457633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cc055b7d-fb0f-4c8a-a515-79e1bd8ce63a · outbound

This paper cites an unresolved cited work.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:44:40.449555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation db222514-f47d-496c-a870-b6a8e7353c46 · outbound

This paper cites H2gformer: Horizontal-to-global voxel transformer for 3d semantic scene completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection H2gformer: Horizontal-to-global voxel transformer for 3d semantic scene completion

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.440532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 36046737-46d9-450e-aa7b-31ee156c3503 · outbound

This paper cites Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:38.130572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ac74c63-ad23-4ec6-a23f-3a49c4912762 · outbound

This paper cites Scpnet: Semantic scene completion on point cloud.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Scpnet: Semantic scene completion on point cloud

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.426788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1a0322c9-2679-46b1-b5d7-3981b9e36031 · outbound

This paper cites Instance-aware monocular 3d semantic scene completion.IEEE Transactions on Intelligent Transportation Systems, 2024.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Instance-aware monocular 3d semantic scene completion.IEEE Transactions on Intelligent Transportation Systems, 2024

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.418991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 86e2847e-9776-40cc-af8c-f3fae97df327 · outbound

This paper cites Revisiting ap loss for dense object detection: Adaptive ranking pair selection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Revisiting ap loss for dense object detection: Adaptive ranking pair selection

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.411449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df7edbe5-68b3-430c-a6b4-2ba9383f6af5 · outbound

This paper cites Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.403850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ebc5dfae-3504-4c26-bffc-a370fce97820 · outbound

This paper cites Event-Driven Dynamic Scene Depth Completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Event-Driven Dynamic Scene Depth Completion

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:44:40.125791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a9aa3c2-9f15-4043-a69b-aaacc6fd3d11 · outbound

This paper cites Rignet++: Semantic assisted repetitive image guided network for depth completion.International Journal of Computer Vision, pages 1–23, 2025.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Rignet++: Semantic assisted repetitive image guided network for depth completion.International Journal of Computer Vision, pages 1–23, 2025

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.395507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bff829ab-aaff-440d-a016-a512ce511bd0 · outbound

This paper cites Tri-perspective view decomposition for geometry-aware depth completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Tri-perspective view decomposition for geometry-aware depth completion

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.385927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a5790a4-c555-49cb-9ae5-9786d8ba004f · outbound

This paper cites Rignet: Repetitive image guided network for depth completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Rignet: Repetitive image guided network for depth completion

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.377794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 88ea2d7d-2f66-4b85-851f-828248025b11 · outbound

This paper cites Prediction-guided distillation for dense object detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Prediction-guided distillation for dense object detection

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.368796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1507f06b-024f-4f55-b455-6fb85926061e · outbound

This paper cites Semantic segmentation-assisted scene completion for lidar point clouds.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Semantic segmentation-assisted scene completion for lidar point clouds

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.360979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 11a50356-d025-4490-97df-05a23ac5ba91 · outbound

This paper cites ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:44:40.003932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 547970cf-203c-4f96-be8b-1483d56d5089 · outbound

This paper cites Daocc: 3d object detection assisted multi-sensor fusion for 3d occupancy prediction.arXiv preprint arXiv:2409.19972, 2024.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Daocc: 3d object detection assisted multi-sensor fusion for 3d occupancy prediction.arXiv preprint arXiv:2409.19972, 2024

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:39.273600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 331f99cc-0f19-4fd1-a975-d7979207e480 · outbound

This paper cites DepthSSC: Monocular 3D Semantic Scene Completion via Depth-Spatial Alignment and Voxel Adaptation.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection DepthSSC: Monocular 3D Semantic Scene Completion via Depth-Spatial Alignment and Voxel Adaptation

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:39.275821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60f488f2-6934-4dc1-bcd8-9046e7af7fce · outbound

This paper cites Language Driven Occupancy Prediction.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Language Driven Occupancy Prediction

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:39.278703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34686225-cb38-458e-9939-e52d739b9788 · outbound

This paper cites Aggregating feature point cloud for depth completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Aggregating feature point cloud for depth completion

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.353683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3394b1b8-867b-4ff5-b2d8-534963362e87 · outbound

This paper cites Aggregating feature point cloud for depth completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Aggregating feature point cloud for depth completion

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.345517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9394c26a-d4e7-406d-a8f6-cb6c4cc3465f · outbound

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

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Context and geometry aware voxel transformer for semantic scene completion

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.338110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 42540342-14a4-45b5-92f9-df54e2e7ef60 · outbound

This paper cites Varifocalnet: An iou-aware dense object detector.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Varifocalnet: An iou-aware dense object detector

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:39.625757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46399ad2-003e-41d7-bbb3-51f45f850cdf · outbound

This paper cites Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:39.632877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1e1bb9b-6091-49bf-8534-19fd67aa456b · outbound

This paper cites an unresolved cited work.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:44:40.322754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3ae913d7-111b-4c7f-8dd7-cf820e894d64 · outbound

This paper cites MonoOcc: Digging into Monocular Semantic Occupancy Prediction.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection MonoOcc: Digging into Monocular Semantic Occupancy Prediction

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:39.637215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1834cae-fcf5-4628-b656-78cb0230227c · outbound

This paper cites Localization distillation for dense object detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Localization distillation for dense object detection

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.315076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cc4a6aab-cc74-49c6-9f3e-6ceefcaf6071 · outbound

This paper cites Bottom-up object detection by grouping extreme and center points.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Bottom-up object detection by grouping extreme and center points

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:44:40.307096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 144236fd-f924-4a7b-9450-3b9f513a04be · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:39.773683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b5aa5931-fd8a-4b3a-b488-054f74686891 · inbound

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy cites this paper.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:23.190818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2784a536-a90b-420e-84b5-6bb658801eb9 · inbound

Social-Mamba: Socially-Aware Trajectory Forecasting with State-Space Models cites this paper.

Social-Mamba: Socially-Aware Trajectory Forecasting with State-Space Models VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-19T15:22:37.450789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 940a0e24-81d7-4fc5-92b5-aca9263ea364 · inbound

Deformable Gaussian Occupancy: Decoupling Rigid and Nonrigid Motion with Factorized Distillation cites this paper.

Deformable Gaussian Occupancy: Decoupling Rigid and Nonrigid Motion with Factorized Distillation VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:33:27.973623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.