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Paper Citation Record · LEDGER

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction

As of 19 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2508.12917.

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

pith.paper-citation-record.v1
2508.12917 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:22:24.823953Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

68 of 68 outbound references displayed

  • verified exact0
  • verified fuzzy36
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1eeb3b15-52fc-4502-ae02-7caba70dde54 · outbound

This paper cites 3d object detection for autonomous driving: A comprehensive survey,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction 3d object detection for autonomous driving: A comprehensive survey,

Reference 1

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source=pdf_text observed=2026-08-15T17:22:24.501898Z digest=sha256:1b90be25f1ffba3e95a5388c1910e40a36b6972f67ec2c50edbabbc3fe6195d6

Observation 59fd944b-01f7-4a55-917d-966b2a6ec926 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 2

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source=pdf_text observed=2026-08-15T17:22:24.513292Z digest=sha256:2bb8660268ce1bb7dff6ec93a81f2bc48f88206f329f01132fd909b612bd273a

Observation 2b7f3083-95ba-416c-a543-1f98e86d8ea9 · outbound

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

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 3

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Observation 4472b742-462c-47f5-8abf-de64cdcc0ae8 · outbound

This paper cites PointMamba: A Simple State Space Model for Point Cloud Analysis.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction PointMamba: A Simple State Space Model for Point Cloud Analysis

Reference 4

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source=pdf_text observed=2026-08-15T17:22:24.524733Z digest=sha256:bdfabd7fcb0acd88a09a80bc03f6ec7adc697fab05aa3f450f91d9d3b2847314

Observation dc3f6384-464a-49ea-9299-97112a4a7abf · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction V oxelnet: End-to-end learning for point cloud based 3d object detection,

Reference 5

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source=pdf_text observed=2026-08-15T17:22:24.531218Z digest=sha256:0dad71cbcb71a9c71fe297fa33571ddffe025b8822647afeb37ff8cf4fbc9993

Observation ba1ede4e-43d8-406a-a7ee-16af4bc37cc5 · outbound

This paper cites Pv-rcnn: Point-voxel feature set abstraction for 3d object detection,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Pv-rcnn: Point-voxel feature set abstraction for 3d object detection,

Reference 6

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source=pdf_text observed=2026-08-15T17:22:24.536196Z digest=sha256:f98e763ef276c4df8a4ca25b2d0d981670601117b6eeb4faed99efb53d928a17

Observation c3183fe1-5ac0-4336-89a1-5a6e3058f95d · outbound

This paper cites Multi-view 3d object detection network for autonomous driving,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Multi-view 3d object detection network for autonomous driving,

Reference 7

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source=pdf_text observed=2026-08-15T17:22:24.541010Z digest=sha256:4da0b740bc289ac83c28ee58e9ff5905e6405e0cc825dfe43c32cff72a7051ed

Observation 1c2b85fd-8ed7-417f-b4df-d25676342237 · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,

Reference 8

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source=pdf_text observed=2026-08-15T17:22:24.545708Z digest=sha256:9c67baa3cbf3c0efeb3fcc81a60cea379a6e59d4f9289eaf394c66c481e74a36

Observation 61cae1ae-cada-43ee-9535-4abef8e6915d · outbound

This paper cites Detr3d: 3d object detection from multi-view images via 3d-to-2d queries,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Detr3d: 3d object detection from multi-view images via 3d-to-2d queries,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.550530Z digest=sha256:29106f52a060b79a149355e4e5b5f14b8f71658f9ab2a4631df5aebbdaca4462

Observation 7ed744de-f47f-4302-bd65-cbc6d5cff3e7 · outbound

This paper cites Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,

Reference 10

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source=pdf_text observed=2026-08-15T17:22:24.555601Z digest=sha256:8dc7db356d0548631defe50b86fd70aef1737eefc5418936d8f5a86023ff6c1f

Observation c9a39725-af63-4795-aa27-a3f1ec43d9a5 · outbound

This paper cites Bevfusion: A simple and robust lidar-camera fusion frame- work,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Bevfusion: A simple and robust lidar-camera fusion frame- work,

Reference 11

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.560009Z digest=sha256:0a336b6e462d4215062ac4c6978df2a5f40a2fc8e564cff7327e9402641640fe

Observation 2bc1d30d-8dc2-458d-bb00-1fdb57bdd28b · outbound

This paper cites Virtual sparse convolution for multimodal 3d object detection,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Virtual sparse convolution for multimodal 3d object detection,

Reference 12

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.564753Z digest=sha256:a5e57cd54f45e8693856a95b5751edb4b0348c1873c6cff563ba9c7df1868630

Observation 9aa3e282-8833-452a-b3e3-b9c736d0359e · outbound

This paper cites Transfusion: Robust lidar-camera fusion for 3d object detection with transformers,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Transfusion: Robust lidar-camera fusion for 3d object detection with transformers,

Reference 13

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source=pdf_text observed=2026-08-15T17:22:24.568891Z digest=sha256:a817c7de9a007a699671ff73399187905a3b5ac4a1e064fc8a0bde1d57caae2e

Observation 6cb6d6ad-24e2-415d-9b34-40e542c3f89c · outbound

This paper cites Cross modal transformer: Towards fast and robust 3d object detection,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Cross modal transformer: Towards fast and robust 3d object detection,

Reference 14

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source=pdf_text observed=2026-08-15T17:22:24.573578Z digest=sha256:4d5bb781d6efa673bdab04119cfa5275d0c1b60797e8e3a03a534da22e865710

Observation 4075219c-ef59-4f6e-9d26-68695a8a1c78 · outbound

This paper cites Pointpainting: Se- quential fusion for 3d object detection,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Pointpainting: Se- quential fusion for 3d object detection,

Reference 15

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source=pdf_text observed=2026-08-15T17:22:24.578782Z digest=sha256:c1007177b1649d1bcf19dd3c812e270d65382d67c5c5fdf53f9bac2ca2833819

Observation f69dce65-0d04-4097-949b-f055ed84ee71 · outbound

This paper cites Epnet: Enhancing point features with image semantics for 3d object detection,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Epnet: Enhancing point features with image semantics for 3d object detection,

Reference 16

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.583008Z digest=sha256:9ab015b9105885b253a42ad7eb7c81c2cdc61cad155a65b226d297e9e32971da

Observation 556ef0f7-93f1-4e0d-8e0a-54ee7a273e56 · outbound

This paper cites Multimodal virtual point 3d detection,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Multimodal virtual point 3d detection,

Reference 17

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source=pdf_text observed=2026-08-15T17:22:24.588149Z digest=sha256:74844c275a1c3b293e0478db6532b5cbc43b5480350bfd1028f3f3f085eb4557

Observation 2d16e822-d652-4a7f-be27-a587a62932e3 · outbound

This paper cites Sparse fuse dense: Towards high quality 3d detection with depth completion,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Sparse fuse dense: Towards high quality 3d detection with depth completion,

Reference 18

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source=pdf_text observed=2026-08-15T17:22:24.593019Z digest=sha256:c227ac458c812d8c5a86c2993c7bb2beb76b57384c85289a54e0f597aa581e0b

Observation e2fea988-6481-42ef-ac92-5d1161e28e55 · outbound

This paper cites V oxel r- cnn: Towards high performance voxel-based 3d object detection,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction V oxel r- cnn: Towards high performance voxel-based 3d object detection,

Reference 19

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.597361Z digest=sha256:c0cbcd1506c67e76075516fea3de3d838644ef44f6aedae2f31e93ee9292e04c

Observation 55779000-3476-4d08-be69-46845ddc739c · outbound

This paper cites Spatial information enhancement network for 3d object detection from point cloud,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Spatial information enhancement network for 3d object detection from point cloud,

Reference 20

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.602059Z digest=sha256:5a3f2d33f97ce59f04c8532ff59595fb4fd69c899ce25041f0d264e7e414daa2

Observation 04d5df0f-fb2b-4417-a310-c623db0cc4d4 · outbound

This paper cites 3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction 3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds

Reference 21

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source=pdf_text observed=2026-08-15T17:22:24.606268Z digest=sha256:f7dd35efd1e560feea3cf2602272507991bbb1b00c8fd810ebf0ab2472b08007

Observation abe671de-8b93-4167-af5b-bceb2375c0c3 · outbound

This paper cites Iou-uniform r-cnn: Breaking through the limitations of rpn,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Iou-uniform r-cnn: Breaking through the limitations of rpn,

Reference 22

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source=pdf_text observed=2026-08-15T17:22:24.611282Z digest=sha256:4fd4d43952f649c682a3b0bf04b5f697b654623730d73513507257f6aa7b3e19

Observation 5aa2d7a0-e0fb-4c5b-b3b0-f37b054663cf · outbound

This paper cites Local-to-global semantic learning for multi-view 3d object detection from point cloud,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Local-to-global semantic learning for multi-view 3d object detection from point cloud,

Reference 23

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.615343Z digest=sha256:99e2e716aa7c881c9a353b694e7a6b83ed3e558b89506144e381ecb2c1535fcb

Observation f9f02182-ccd3-47e4-86f2-35372b35fb48 · outbound

This paper cites Pointrcnn: 3d object proposal generation and detection from point cloud,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Pointrcnn: 3d object proposal generation and detection from point cloud,

Reference 24

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source=pdf_text observed=2026-08-15T17:22:24.619435Z digest=sha256:907687313a243ca0defcfbd349d2b269d4727b0c36742c22a3f77cc880608e10

Observation bfe96b46-1396-4798-8e15-bfb9036aded6 · outbound

This paper cites Medoidsformer: A strong 3d object detection backbone by exploiting interaction with adjacent medoid tokens,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Medoidsformer: A strong 3d object detection backbone by exploiting interaction with adjacent medoid tokens,

Reference 25

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.623605Z digest=sha256:023068d5da68c454b10bb2d1a16656f296f9f6893763ed0bc5c8bbbd717b6af7

Observation 3546259f-febc-4bce-a6cd-e7fdbc85e720 · outbound

This paper cites From points to parts: 3d object detection from point cloud with part-aware and part-aggregation network,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction From points to parts: 3d object detection from point cloud with part-aware and part-aggregation network,

Reference 26

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source=pdf_text observed=2026-08-15T17:22:24.627476Z digest=sha256:c56bcc4361905730950dae7fc9a4b21cadafc9aa9ff8f9bd1186cb2578536099

Observation d7e37fdb-3d91-42df-a1e6-b03f3ac9981e · outbound

This paper cites Improving 3d object detection with channel-wise transformer,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Improving 3d object detection with channel-wise transformer,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.631710Z digest=sha256:7b10cd30a8002bf4b295e961c8680a84a76f45832e3b5e68782b52e0fbdb2eb3

Observation 5a9932b0-5ee8-455f-9fe9-3af4bcee66eb · outbound

This paper cites Long-short range adaptive transformer with dynamic sampling for 3d object detec- tion,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Long-short range adaptive transformer with dynamic sampling for 3d object detec- tion,

Reference 28

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source=pdf_text observed=2026-08-15T17:22:24.637036Z digest=sha256:1da9d0ad44236e23f8789c552ee670fe06bb8eea8751432038c7084fbda69209

Observation f0a03f2e-5e64-414e-9b08-42eeba14bc7f · outbound

This paper cites M3dssd: Monocular 3d single stage object detector,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction M3dssd: Monocular 3d single stage object detector,

Reference 29

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.642013Z digest=sha256:890ee1bef25e5f8514f0888138bcde15416dc1a55d3c9af18fa28acdadfa238d

Observation 3cac69eb-8b23-4626-98d2-cb8b0dad0f22 · outbound

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

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Tri-perspective view for vision-based 3d semantic occupancy prediction,

Reference 30

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.646803Z digest=sha256:98aef6a169b430fe0b4f65be398e729ea86dc7a516545c25e2601775f8435cbd

Observation e0440542-4e3e-4a2e-a7ea-660c4d57b5c2 · outbound

This paper cites Esgn: Efficient stereo geometry network for fast 3d object detection,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Esgn: Efficient stereo geometry network for fast 3d object detection,

Reference 31

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source=pdf_text observed=2026-08-15T17:22:24.651071Z digest=sha256:f63c13467c3a3e269a0ed027303335af5a929008d35f608411f528b090521836

Observation 3534c92e-1a36-4451-88f0-d756ca125353 · outbound

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

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 32

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source=pdf_text observed=2026-08-15T17:22:24.654902Z digest=sha256:7321c55595903a639fb613abf3a657ed230f2fc49f6dcb8e3d524b5d580fdd69

Observation 37e85acf-6ace-4f44-bc19-21a3576e312a · outbound

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

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,

Reference 33

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source=pdf_text observed=2026-08-15T17:22:24.661221Z digest=sha256:b8fe90f173fc1789dbfab3e1d5e94cbeabbe6c706fe3d1aeadcad5fe4f1a3b95

Observation 77360e21-e6cd-483e-b1ba-b6ec503cd83a · outbound

This paper cites STS: Surround-view Temporal Stereo for Multi-view 3D Detection.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction STS: Surround-view Temporal Stereo for Multi-view 3D Detection

Reference 34

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:22:24.665348Z digest=sha256:ef92378a883547d760a72db84266e1cbb44c469379facdfca6182281e774116a

Observation 3151a77e-7201-4da9-951b-5bb2e7a7a6cf · outbound

This paper cites Graphalign: Enhancing accurate feature alignment by graph matching for multi-modal 3d object detection,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Graphalign: Enhancing accurate feature alignment by graph matching for multi-modal 3d object detection,

Reference 35

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source=pdf_text observed=2026-08-15T17:22:24.671695Z digest=sha256:3c8be15c9be0615f798114f3ac763b0f4e7a6d95a93c63dd798dc291ede53ed1

Observation be440354-4f1e-4086-971c-ab22f10e15db · outbound

This paper cites Acquisition of localization confidence for accurate object detection,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Acquisition of localization confidence for accurate object detection,

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.676792Z digest=sha256:8cfae2b96f883a26406193996b230f91922f5cee08fef16654f688e7b7c83cca

Observation a88a1233-f182-4693-946b-29c770ea5d6f · outbound

This paper cites From voxel to point: Iou-guided 3d object detection for point cloud with voxel-to-point decoder,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction From voxel to point: Iou-guided 3d object detection for point cloud with voxel-to-point decoder,

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.681982Z digest=sha256:055c205f9c3a86b8968a3112cf59796fe1aec5df4f01c69979e18e5853816587

Observation 867f431c-c6f1-43c8-a9aa-8ce6e5ff4838 · outbound

This paper cites Casa: A cascade attention network for 3-d object detection from lidar point clouds,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Casa: A cascade attention network for 3-d object detection from lidar point clouds,

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.687551Z digest=sha256:b3678ae58cc4f81e493d170971b58787a03c26cddf95b5b45edeba6ea82dbc33

Observation 3b272c8a-08bc-4146-89ee-7030d4527906 · outbound

This paper cites Fast statistical outlier removal based method for large 3d point clouds of outdoor environments,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Fast statistical outlier removal based method for large 3d point clouds of outdoor environments,

Reference 39

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.694420Z digest=sha256:fe4fe0f54eaadefd8da5fb56c96b934aa4018b1c59663e70e4b2a4686fae9973

Observation edc12ea2-1ba0-49e0-b0c3-f76eb03ab017 · outbound

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

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:22:24.699796Z digest=sha256:4979d93314b7298d7bcdd29f293555c90c91182234b7d19e7f4ebdba794122bd

Observation de74c547-f0ac-41cc-a4c7-c8adf43e2025 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction nuscenes: A multimodal dataset for autonomous driving,

Reference 41

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no resolver link, observed 2026-08-15T17:22:24.705028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:22:24.705028Z digest=sha256:653b425209673c14a1ed6653a8d0020a4c89a1709d5168e4e5272797b4f05ad7

Observation c61199b4-6231-435d-a32e-6dde592c2458 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Scalability in perception for autonomous driving: Waymo open dataset,

Reference 42

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no resolver link, observed 2026-08-15T17:22:24.709108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:22:24.709108Z digest=sha256:2c2f03ff728211c06a71d1a354a834a8bc97f8a52ea305da78cb15c5acd9be23

Observation d58f14bd-b64d-444f-ba3c-cc143f55a0f4 · outbound

This paper cites Penet: Towards precise and efficient image guided depth completion,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Penet: Towards precise and efficient image guided depth completion,

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:22:24.713326Z digest=sha256:5192cde8cdea4473ed04fb1218bfcc144309e186d6d51bb627472d9f0b702721

Observation 530995c2-9f42-4ad4-874c-aad42c3cdf70 · outbound

This paper cites V oxelnext: Fully sparse voxelnet for 3d object detection and tracking,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction V oxelnext: Fully sparse voxelnet for 3d object detection and tracking,

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:22:24.718376Z digest=sha256:c3a804c17285a6e4394709f019cff72f0a3a4deb288188888808ec4096d393c5

Observation cd195244-429e-4124-9aa7-7e118524acb8 · outbound

This paper cites SAFDNet: A simple and effective network for fully sparse 3d object detection,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction SAFDNet: A simple and effective network for fully sparse 3d object detection,

Reference 45

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raw_fallback, observed 2026-08-15T17:22:25.253413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.722713Z digest=sha256:e9be32d8b1bf0494992d64f9353aaf51ed62588b6e4b498d123bc703188a807e

Observation 676e2104-1fcf-4656-92d8-3eaecddb1741 · outbound

This paper cites Center-based 3d object detection and tracking,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Center-based 3d object detection and tracking,

Reference 46

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no resolver link, observed 2026-08-15T17:22:24.726545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:22:24.726545Z digest=sha256:045ed56dcabe80bdec6c3e62417f3238678cf056dad9e622717128d3b0e7a79c

Observation 4ab89f32-f205-42e0-8ac2-1afebf07183f · outbound

This paper cites Dsgn: Deep stereo geometry network for 3d object detection,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Dsgn: Deep stereo geometry network for 3d object detection,

Reference 47

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raw_fallback, observed 2026-08-15T17:22:25.232244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.730569Z digest=sha256:e000d905202265847e5f525301578e4309cb311a8862b65e3624d5fd5dda77f3

Observation fcd12193-1783-43ec-902a-e318150fc5dd · outbound

This paper cites Yolostereo3d: A step back to 2d for efficient stereo 3d detection,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Yolostereo3d: A step back to 2d for efficient stereo 3d detection,

Reference 48

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raw_fallback, observed 2026-08-15T17:22:25.216681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.735451Z digest=sha256:1c856663365ee311d56b3bef576ff0c6c26f126c452556828ebc5afdad375448

Observation 9fea477e-e64a-4eb4-bc81-535470e6c557 · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Pointpillars: Fast encoders for object detection from point clouds,

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:22:24.739319Z digest=sha256:2de84e996cc1a3ff1f2bcf725e3815c96e28e35d12dd7fce85403dae68b0a365

Observation 286d6845-0a0b-474c-85e3-fc7a98abb294 · outbound

This paper cites V opifnet: V oxel-pixel fusion network for multi-class 3d object detection,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction V opifnet: V oxel-pixel fusion network for multi-class 3d object detection,

Reference 50

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raw_fallback, observed 2026-08-15T17:22:25.194977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.743433Z digest=sha256:868990c9b2a9d1106134b48b05741f6a2a7a2dd20f8bc125fc6fbab4f23f8318

Observation 39682253-a250-4a1d-920a-2295232d7cf5 · outbound

This paper cites Graphalign++: An accurate feature alignment by graph matching for multi-modal 3d object detection,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Graphalign++: An accurate feature alignment by graph matching for multi-modal 3d object detection,

Reference 51

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raw_fallback, observed 2026-08-15T17:22:25.179429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.747230Z digest=sha256:0acf6254abfd47b4030f33d9c9dcd110b98b0dc48e6a67d22a7ee8d21a680a31

Observation e9426667-ad0b-4740-9a41-e993e50ac0ff · outbound

This paper cites Logonet: Towards accurate 3d object detection with local-to-global cross-modal fusion,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Logonet: Towards accurate 3d object detection with local-to-global cross-modal fusion,

Reference 52

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.751761Z digest=sha256:847399ba271f7a7f94363d8438e9aa0cc60869c37b24254d17e4ab2a225d9f2c

Observation 7014dd8c-aa44-4e6f-8860-b0e3580955e1 · outbound

This paper cites Transformation- equivariant 3d object detection for autonomous driving,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Transformation- equivariant 3d object detection for autonomous driving,

Reference 53

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.755834Z digest=sha256:010a13bbb8c7e9226ea3356fe0168fa29c0b7d9058e4107df7c5e3f0837836e4

Observation 1597e733-08e0-4a03-a0f9-eab983730bea · outbound

This paper cites Boosting 3d object de- tection by simulating multimodality on point clouds,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Boosting 3d object de- tection by simulating multimodality on point clouds,

Reference 54

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raw_fallback, observed 2026-08-15T17:22:25.135827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.760568Z digest=sha256:fc75cf0518942083355e6ecb19b570db7233fb047a515e8eecb80bf101d2c6f7

Observation 45f98cbe-28ba-4938-a32b-f2cdbf0b1661 · outbound

This paper cites Afdetv2: Rethinking the necessity of the second stage for object detection from point clouds,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Afdetv2: Rethinking the necessity of the second stage for object detection from point clouds,

Reference 55

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raw_fallback, observed 2026-08-15T17:22:25.117973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.764574Z digest=sha256:c66b8015a1e5215c9918ed1149930189b62c86d42c268618cc7ef35e30a325d9

Observation 1a03cfc5-6634-40ec-882e-76819eb5440c · outbound

This paper cites Vista: Boosting 3d object detection via dual cross-view spatial attention,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Vista: Boosting 3d object detection via dual cross-view spatial attention,

Reference 56

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raw_fallback, observed 2026-08-15T17:22:25.102209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.771436Z digest=sha256:2ce65148795864a412243d1b5946813d3fd3a6f51a9d5feee91071ab5efa1307

Observation 9de27129-b250-40e8-b5a9-c270317d578a · outbound

This paper cites AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection

Reference 57

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:22:24.775484Z digest=sha256:036e27071987e106e8693193e1f4b5fcd5dda69fd943e14de02099571bc45942

Observation 71d85b5c-31d5-423d-a4fe-7903faab9bf8 · outbound

This paper cites Focal sparse convolutional networks for 3d object detection,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Focal sparse convolutional networks for 3d object detection,

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:22:24.779412Z digest=sha256:83132a4aa0479928faf4defaabde0bdb7ea15f947412694e0cbd80218ab7ac9f

Observation ee6203cd-38e3-40b2-a940-7ddeac492434 · outbound

This paper cites Focalformer3d: Focusing on hard instance for 3d object detection,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Focalformer3d: Focusing on hard instance for 3d object detection,

Reference 59

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raw_fallback, observed 2026-08-15T17:22:25.074648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.783968Z digest=sha256:ca58ae35e7b2103773f5f3fda3dabb4633e82e63e28453ad3e912e05d64c5860

Observation 5f85d42c-1c64-4162-bea1-7e8acf1b0c99 · outbound

This paper cites Dsvt: Dynamic sparse voxel transformer with rotated sets,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Dsvt: Dynamic sparse voxel transformer with rotated sets,

Reference 60

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raw_fallback, observed 2026-08-15T17:22:25.060528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.788591Z digest=sha256:00584d81bc95ca1cf1a9061b6a78bb61352288ff8b4101b61e632f29384c24e2

Observation c909c01b-dbcb-47cd-ab43-cf6ce8b7d3de · outbound

This paper cites HEDNet: A hierarchical encoder-decoder network for 3d object detection in point clouds,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction HEDNet: A hierarchical encoder-decoder network for 3d object detection in point clouds,

Reference 61

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raw_fallback, observed 2026-08-15T17:22:25.046464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.793133Z digest=sha256:7b897b1738dd6aa4595fe6503f145f07af158973246cd78af557d12c3d2cc281

Observation a1a01709-c19e-417e-966f-96ac724b0d07 · outbound

This paper cites FUTR3D: A Unified Sensor Fusion Framework for 3D Detection.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction FUTR3D: A Unified Sensor Fusion Framework for 3D Detection

Reference 62

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:22:24.797246Z digest=sha256:b26930efb124699a88edfa5439f757fad6ebc288613a828bb10b3100bfdc3844

Observation e96f3853-f743-4e1a-860f-453a4ce8da7a · outbound

This paper cites Generalized intersection over union: A metric and a loss for bounding box regression,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Generalized intersection over union: A metric and a loss for bounding box regression,

Reference 63

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no resolver link, observed 2026-08-15T17:22:24.801716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:22:24.801716Z digest=sha256:3bf366cb35a4450acd66470789e045233ccb666e9a63688cad6088372b5dedbb

Observation 657750c0-315d-4888-9c21-3adaadd6ba87 · outbound

This paper cites Distance-iou loss: Faster and better learning for bounding box regression,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Distance-iou loss: Faster and better learning for bounding box regression,

Reference 64

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raw_fallback, observed 2026-08-15T17:22:25.017824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.805541Z digest=sha256:5d23a5b4b863257e6b2a81eb8078406691222d4815c68d75bebc4a543468c1f2

Observation 10382cbe-6ca8-43fe-8704-fe5bbf428ce4 · outbound

This paper cites Adaptive nms: Refining pedestrian detection in a crowd,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Adaptive nms: Refining pedestrian detection in a crowd,

Reference 65

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raw_fallback, observed 2026-08-15T17:22:25.001071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.809928Z digest=sha256:1c358261b91f7988b6084896f624fb0446fa81cc933664165cc1213bb921acda

Observation d0a3cd72-4d71-45d3-993c-9b2ee8481ab2 · outbound

This paper cites Multi-class object detection us- ing adaptive non-maximum suppression in dense images,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Multi-class object detection us- ing adaptive non-maximum suppression in dense images,

Reference 66

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raw_fallback, observed 2026-08-15T17:22:24.983440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.814642Z digest=sha256:ce778027debde29d43082901397776c0c23237081778464e11c8a0f70654fd7c

Observation c3197a71-6a7f-4ec2-bbbd-798a028e449b · outbound

This paper cites Multiple hypothesis tracking revisited,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Multiple hypothesis tracking revisited,

Reference 67

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raw_fallback, observed 2026-08-15T17:22:24.967339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.818730Z digest=sha256:f291f39dab03d258454a9ccb30cadcf32b245dc3f040fd853d6fbceac5795119

Observation b0932ef9-2948-47a4-82b7-823b5004a517 · outbound

This paper cites Itera- tive multiple hypothesis tracking with tracklet-level association,.

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction Itera- tive multiple hypothesis tracking with tracklet-level association,

Reference 68

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raw_fallback, observed 2026-08-15T17:22:24.950088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T17:22:24.823953Z digest=sha256:f5a6d94e5fee4a7f422edd47d1b56998350d55993e8acf0840191e5f9f94ab96

Pith citing papers

No inbound Pith citation observations are available.