Pith. sign in

Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 5 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 94 of 94 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:19:43.669437Z

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.

source=pdf_text observed=2026-08-07T10:44:32.706523Z digest=sha256:e20b309149ed53b304f4f1c8bf90b1c9949fd5c577b1af61054e57e9c12f131f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:32.787018Z digest=sha256:ffcb24b314d55ded4be74bf7aec91e6334de0a3e69dfd36a17b1e3405d293d90

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.

source=pdf_text observed=2026-08-07T10:44:32.870789Z digest=sha256:6615c9d2da7febc5cc2c28ab127d9c1ae954a6564d84d0d25820d626319054d6

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.

source=pdf_text observed=2026-08-07T10:44:32.955158Z digest=sha256:983ec5f063becc779d746c6cfc370cb6b97a6652e38eca6632a500e8b4ddfdf2

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.

source=pdf_text observed=2026-08-07T10:44:33.060150Z digest=sha256:dba401d3996a2e1b591b3b081b465e39ff7030829014a738b9138977eacf9372

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.

source=pdf_text observed=2026-08-07T10:44:33.228624Z digest=sha256:cc3c0fd0fb9d4e031ac54e595b4044b3d5de11f772aab24fbb7d67311b7863a8

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.

source=pdf_text observed=2026-08-07T10:44:33.365579Z digest=sha256:01621878d01dc125314157f82fa4b30cb94cba65c2e0151cde5a3aeb2cd88605

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.

source=pdf_text observed=2026-08-07T10:44:33.451770Z digest=sha256:6dbd12ffe6a6b1ffbc5a1a8e6e58bb633a96eee750020a2440d5cbf6e9e7aff0

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.

source=pdf_text observed=2026-08-07T10:44:33.539610Z digest=sha256:51c49322880397ecca4e7268a7079c90fd3b76b1c07f2ac81652360f5be502db

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.

source=pdf_text observed=2026-08-07T10:44:33.652764Z digest=sha256:e374a5cf8aa79ed3032a9c458d9642195952fbe1534d828001d15e451b35de53

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.

source=pdf_text observed=2026-08-07T10:44:33.764904Z digest=sha256:de1cae766cc6358b418b9858e5c4baf79008e4ecd7136354b20a6f25cbc13914

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:33.862806Z digest=sha256:4aedeae82f845810c2efcbd6c5160b7c80fb4dd3cce01dd4075f7af61706f50a

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.

source=pdf_text observed=2026-08-07T10:44:33.951600Z digest=sha256:040b544dbe2687f944f3dbf54bbb173d259a0b260b119e09743aa6a20d57c238

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.

source=pdf_text observed=2026-08-07T10:44:34.040500Z digest=sha256:6d7ad0b599cec741d671df2c9134091763979d05da9ae9291b4a33c16ff99372

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:34.132069Z digest=sha256:668e0b99efee740b83279ed308ffe707687ae0e606dc1d1b318c40361bc966e7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:34.219006Z digest=sha256:1ae51de8cd652ef5c5c431a0c63661aa8c3b71805434faa2d7b18a6027daeab6

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.

source=pdf_text observed=2026-08-07T10:44:34.298345Z digest=sha256:74d0776932362e359d3d51d166d99424e73d659d54e3070599e045aadeaafc5f

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.

source=pdf_text observed=2026-08-07T10:44:34.393084Z digest=sha256:2860553922c91ac32ab4605874b968480a0d25b778d21a8815c237b99a4b21cb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:34.492587Z digest=sha256:1dfdde71db2291f464384e4961fc8e36edd72d3a36cd699e8fca46b7a42410d1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:34.569667Z digest=sha256:69bd6e6d2757d539f02299b9d50840d41904d8c437ab05de454ee05b47e5365a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:34.654448Z digest=sha256:963319eecb56d0a68809cc24a77dc79931c0be159a680dddee975b644a54bdc7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:34.766004Z digest=sha256:44ce40693cbd7646ac5de6ae177689606471a67ad43f012bf3644078e3a73599

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:34.842585Z digest=sha256:9b73359c0a0d273de4f88f5ab28e843d214bb75fb0cd9f70e0de7da71468cd41

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.

source=pdf_text observed=2026-08-07T10:44:34.953253Z digest=sha256:0cdb56acb83a6db5b802d393baf7b4b86832ca4f48f6160415c2fba467597766

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:35.041907Z digest=sha256:40984faf15f6a546331d926a22c444424e8f5ae738a939137a3a79d0a627ba7f

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.

source=pdf_text observed=2026-08-07T10:44:35.121047Z digest=sha256:497d23a744912ee475854e25f38186de6c4ffd3a82d44500344809cdc541ea5b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:35.196278Z digest=sha256:cb13237a3defe49ef3cf87f137e96618665ee3c0126f4c35cdcb332ac0775021

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.

source=pdf_text observed=2026-08-07T10:44:35.283251Z digest=sha256:e9a628a490b916971d76890afb4a768c98903fac030910011a6472c310bc4dfe

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.

source=pdf_text observed=2026-08-07T10:44:35.362608Z digest=sha256:eeead6475e1e5e09ed73eb93bd1851452eb0274f7ef207080cb65605d423e877

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:35.473821Z digest=sha256:f6f25755335f2c758f0ed743408210c87adab76e2b7fb7a72277fc3ea1b6fc08

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:35.559057Z digest=sha256:0b42068131e75e94b175e70461cff179f441026e525a86043f65f876ce8dc327

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:35.658794Z digest=sha256:b5b4d4eb81f910fc0f1c74dba1d6b6edb77d716c4143e5ddbe3e53ae8f0998f9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:35.732888Z digest=sha256:478657ca18a5086d4380c7ed7e4db78b86bdde7676e471afffc54a8859b09655

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:35.844717Z digest=sha256:1e5affb2d04e7d86d84a3dc53d5bd1a3737ea8ac386ce2d9a98ccde6cbac8a15

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:35.937734Z digest=sha256:385e4a61b88e5dc16b96e57766c274c7ece1fa6bb51ae8dd52730eb7275c5d8c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:36.049098Z digest=sha256:c897398e7f9398af22fe4b0facc402ceb30351974fc892276e66fab23ac45d85

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:36.124112Z digest=sha256:2856b31b064fbf9dfab17115cfb17e2dd89ed7b555b4cad397fe1ee6f5a6c932

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.

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, 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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:36.231677Z digest=sha256:a94a30d59b889f6aa3cab70026af23ba2c5b8b33306ae319f52674750ce5bcbe

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:36.309263Z digest=sha256:5e303731b18fe3e6ccf7f40170ea4e0aef7e86cff683aa47831ccb5207f7b4cc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:36.397447Z digest=sha256:3ba97169392f5d6c14fdf55774e3115a4ec98099d0e857b9a8e3f74ec0b1ba1b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:36.513903Z digest=sha256:4ba276699d940c7152f0058a22c2d04a31485d65bc543010b7bbcc25b1467c3c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:36.604382Z digest=sha256:56164f0fd51a8c953ae903fa05e4fd0834e249e0892b93e605da302032758908

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.

source=pdf_text observed=2026-08-07T10:44:36.675644Z digest=sha256:0b2147dfbfcae922224ff2680b8f59e1a52b774ef753363416f159b858d3b918

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.

source=pdf_text observed=2026-08-07T10:44:36.755868Z digest=sha256:d709b158e5137529e02425a7cc81069d96cc2d2e274100f0912f02b1f919982b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:36.859304Z digest=sha256:e48177abb7e44c6496ec0b0308f4f5e2c53d9a05b36773203b545e83c6f2e700

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:36.924654Z digest=sha256:5b155f6c585991c9a4d2d4a6835778c0144104ba407db6cd64e4e9689630707f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:36.973260Z digest=sha256:2e0f896258c277b2216ffa443dbd3e1336291da869d5e9686f57fa52c77a1584

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:37.043094Z digest=sha256:12d0998f62f85a056c9fe072489c906772a077ce4a8480be2d4c695d6b1ed1dc

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.

source=pdf_text observed=2026-08-07T10:44:37.084954Z digest=sha256:0890318b24ad87433db99d199eb9d89a2f16bcec129dd292c1ab4ef87342dd67

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:37.147785Z digest=sha256:191c64b3538df7f500586e685dd3af133840b4a1286a7ead97db5981b1b75dd5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:37.224276Z digest=sha256:88a4667e860c114d1cf0f414003d307c75d18cdbc3a5d1050c8fa84c77ddde46

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:37.406058Z digest=sha256:dc64e12a436af433b76bd0f5deb4f1e9d6c46ddab7507828078201d86ab2fc06

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:37.452780Z digest=sha256:8bc22ae901d503439f64e1787a8a3e9d096ab010603191e7e65f21cd1cf35539

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:37.523432Z digest=sha256:6bb75175b7274952fd2a41135ddd19381d43f3839685cdba35387cdf19f12d6c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:37.559519Z digest=sha256:471c0c50a78adfa2a0f61a2e6402b017277dc7600e108de37d4a71ea07abc730

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.

source=pdf_text observed=2026-08-07T10:44:37.626205Z digest=sha256:ca3907a7c00787515f5392748da9a2f05958d72a35b7269baef0c68f351fd465

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:37.678995Z digest=sha256:05fc1d7a270a7e7ec520830a0bd0f4e93757fcce26841294e4ae1a75cfa361fe

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:37.718591Z digest=sha256:62ce5d9b9b18c1df75fa386f5c08310870f696a8ac1e20d8889e179d3e8e2ee8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:37.778869Z digest=sha256:15af3d2a79106f851d92294df3b18b1d0e9333ac55c010fe7dbc0bff7f2429e6

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.

source=pdf_text observed=2026-08-07T10:44:37.840700Z digest=sha256:90de10b4c311cc19942db2197157bc06d3188fea9f3bb8181eb99e39bf75408c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:37.917989Z digest=sha256:9ca07aaaf9de58fc612d4bf4586a21868b6b508a91b0ebdb4dbf592eeee8bce8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:37.973226Z digest=sha256:7dbed2e8110cb50d86a77cee8a743f2569f1375f179798b94c9b518914653afb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:38.034682Z digest=sha256:a9a79cce7bea8e4192102da1ff2ce459ce8d03486ade9b0971a9d4da3571b141

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:38.084175Z digest=sha256:02afcb7d583d9058b12f915eef43df4bf9394712fed9cc611d2390d720d450e5

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.

source=pdf_text observed=2026-08-07T10:44:38.130572Z digest=sha256:3083f0cd7d4186b8f8dc0f5b78100a6c50f81b1fb3ea2da3278494d8c01ae711

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:38.211523Z digest=sha256:56b1c7a5b78a9e85f11c755cb61226c15b8ab9f38f097d63a7e95c75cadad2d2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:38.268540Z digest=sha256:f9164b8eebe31a075df37819bfddeea533852916c767eba5c3c187525d4102cd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:38.347973Z digest=sha256:6b463192d3ed39633d5aa94821dbd670620e306fef7ba4b9a88bb0c59d2c64f5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:38.452237Z digest=sha256:5298f77cebc4b885c1ee13367379664d83781bb6c7276fa6288c4b6822dd3ce7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:38.592542Z digest=sha256:16775972dcaec084970f75cbcd5dafac03851c5fef31c7074f9ee8fdc51ad7d6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:38.697816Z digest=sha256:f8c70139755af54ecef52c1b4d3203467949a4ce0f2afe6245b8e3e3e8baaefc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:38.850447Z digest=sha256:5f387dbc59d28b0980edb717e6e467f0c8212df7d75bd7e7e17fcefdc83c7031

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:38.969476Z digest=sha256:5854d1b62c3be830cdc5d012559d7994b381f040f42121f559f84109e75ff768

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:39.066137Z digest=sha256:7d6587c1f30293444fc0e0ea4cfd47b2d2e2d97a1cfd5d7eb6679a99f149a0e6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:39.179666Z digest=sha256:b5797f15f8a394bd0ee2d88e93c6a321d6846ea5e28c682cb25f6a6ba7e58d7e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:39.271233Z digest=sha256:5cd24245f8d335e58efa64d4eaa1691548e7ff1fd310f1fbb6ba709bcc3bfa21

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.

source=pdf_text observed=2026-08-07T10:44:39.273600Z digest=sha256:501f6e70c3cfa0624c16da266da912dcb34b8860f9a46e8d15b33b79caf0a531

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.

source=pdf_text observed=2026-08-07T10:44:39.275821Z digest=sha256:4ca44093e8a5a70f3d65744c42267862cb4f5b5aadfc10f540063cee1203b62e

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.

source=pdf_text observed=2026-08-07T10:44:39.278703Z digest=sha256:0cb68f93350db73786ffe024f468332cc8ea1a6ddb1d0e7d0525998915d0b5ea

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:39.312771Z digest=sha256:9b1ca75261332c359d3447286fcc5420abf6fb9159b87adceae59b0c5664c42f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:39.444406Z digest=sha256:398535206147905f44324a301c93416309b541e7858b58ab314a9048676586d4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:39.545103Z digest=sha256:a6268ce2e536b943a3e374ba122be2c0cd11d3653103ea00c57a3ae3ae44441e

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.

source=pdf_text observed=2026-08-07T10:44:39.625757Z digest=sha256:815d697c2ee5f2759846e8b7a593289d18b88d34fe9b3a3599c528e8b941904b

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.

source=pdf_text observed=2026-08-07T10:44:39.632877Z digest=sha256:2d5ff2555ba6e7a6e5c68ae4d9b3c65d8c470af4e772830e388366adcebb017f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:39.635008Z digest=sha256:135e516ff22da6e1b075cfb91b36f9b34058c9a91eaaec79f6a5c32b4563245e

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.

source=pdf_text observed=2026-08-07T10:44:39.637215Z digest=sha256:de217c3eb26fd9c4acaad1491302b3e08ca9835ca9d96690b9d4ea5213b42422

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:39.639748Z digest=sha256:854aa19b543c37d0c289b5b32d22305b8393191dde44acb7fd3a0c68579246bc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:39.693468Z digest=sha256:1aee3aed0da5503cd5a11858d9f617463a8bd4ecc95392dfef701b6a194935fc

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.

source=pdf_text observed=2026-08-07T10:44:39.773683Z digest=sha256:53fc88f5e94d30a21d083c5f760bcceaded6780e69bbd557dafff82b6bef972a

Pith citing papers

Observation 5d02a0e0-3bdf-4897-a0d6-5f7cdadd5a17 · inbound

Language Driven Occupancy Prediction cites this paper.

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

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T13:40:32.957904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:40:32.957904Z digest=sha256:594c35aed8998dee26f947168badae149060d48774a44c5c4301a017b4bde2d4

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

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction cites this paper.

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
unresolved
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 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.

source=arxiv_source observed=2026-08-06T04:24:23.190818Z digest=sha256:8404d5c1fdccb592271932d2b9726daf9128bc4a0a5f083e95c03fcfa9a655d1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T15:18:45.615875Z digest=sha256:a692e86f0e109c368bb1e1ae52a4850e8049ef9493420bd45c4ab8000a49473d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T13:30:35.054988Z digest=sha256:378120fcda24ba48dc5ec63957d70a246e6d0329770ebd8821b14145f2dbb8ae