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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-17T06:30:58.91139+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=sha256:92390e3470be5a9a52320151edb0ee2bf42a6807cf22ab795ae75d51d1c8dd4e

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:b1b018230819051d5b7dea8831e646f592bb6d92ee02ddea9179be112993ac80

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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source=pdf_text observed=2026-08-15T17:22:24.519213Z digest=sha256:60ecdd0975a7bca5c8368858ef99c7106d14c1a391e69f8a3a2d4ce7b496f4cf

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:c606a680fd68ff54a0333140311b4ccf40c6c0de969eced48d69baaed9b2761d

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=sha256:169931d2e0404d56b6841a3c7640bf62ded8e41751ce88e1478fbc4bf7736921

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:a7afcf9120f1cbdd14bb6cda4278ec10c0fc458e2f1d7cc93a643069fb3fd4da

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=sha256:2e21a831758af7ac640a7e73a4230389acbdff7f2e70c3b2e1848d17f6a78424

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=sha256:2c359d7d3e52cfda76b084e7ae2834bfdde64cdb3e60a1721f69ea1e4ed85caf

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.550530Z digest=sha256:df1d8d327dfeb008df45945cfa0dc12383477fc4a1bfa623db485d9e6fe22501

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=sha256:00040d4903871308ec5dcb84382c96e7f4dc15231042477b6494f7f20e84cc93

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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source=pdf_text observed=2026-08-15T17:22:24.560009Z digest=sha256:283296628a833ea43830ae9cf318d40866817716718b1a6d5326a4da97d5afb9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.564753Z digest=sha256:62a23bd4617e26c3a3a549924df895b07157b7c1092a419f3ab34e911f5add28

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:cac2e2e44400274d68d78c1124e38ec031360995d4517a1c87f2cb9c4f512f1e

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=sha256:9009ca90ecf09563739db3c04d72c63b4c9bbcd07688dae39a467383fd1c2efe

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=sha256:2747d14150e5a3d147d0a56161133e40e8126a860aec0fc985b592ed66be7d99

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.583008Z digest=sha256:62ba5d9d97d79cb523cc4a201e972226d56da20fdfee6445d35130ad35b34e58

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:bf627b71d5122c5b89e4b1dd7044f97e807c4fa6583c33c9ce9e9e157eb1ff8c

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=sha256:9b954906ca108601b0516b7ebcab439c2ed3a21f49fa10d8d4f0313bb4831e74

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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source=pdf_text observed=2026-08-15T17:22:24.597361Z digest=sha256:b2541daa9294b2a52e2adfad25c8d29d3afb2551ae26ed3f40fff91fe6678dcb

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.602059Z digest=sha256:5442e3725650b5206e8647d98dc12680641f0a2d367699a7f7718b0a78210304

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=sha256:23ff7a7631a0c6dd20de8ebb187830d86b4d72314ed573db24283e9ac55dcddd

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=sha256:1ef5257247205916c615487050372d9e8238e4b69ddd5bf066d2ca541606890f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.615343Z digest=sha256:4a1f6090748c354564394e00eb15f62520e0c0e03721de425169f85683c994f1

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=sha256:1259830a363e9d8e40b8db07ec110bf4387bad93cbec8ee40815f1ede3674610

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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source=pdf_text observed=2026-08-15T17:22:24.623605Z digest=sha256:302dcb1f1f326ce55eb37306401e57383e904c32b56f7b24a5e1806161ddf54e

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=sha256:428806973e86c8a09d759fefd9c17763403c8eec0b9a063d5d9598f73ac351bf

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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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.631710Z digest=sha256:264e1334b9a1742faa2bd114461efca06305433f12768bfc676121d0163fcd62

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=sha256:1c86c4b71e27c817cc8e97ef44df2c43af581e329233407926ffd832af641850

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.642013Z digest=sha256:cba4306c842cac1486195bd698e0e4191853ae5b541aec97985e5167a72ec520

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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source=pdf_text observed=2026-08-15T17:22:24.646803Z digest=sha256:a2997c3ff44e7eb8471a31c4f2072aabfe988780269f2c67b608899d09788555

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:bd6003e43b49977b691bc308e61658f74737f842afd2243e8226e635ffbaf9e1

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:bb953e67bf727e1dd2d094d51db75eab7f09b3df2c4674728a87a24ff3effa08

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=sha256:88080073fc3381f0f5747d148d2778d9022d5c63478d093221516291444bd854

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:22:24.665348Z digest=sha256:176944ebd6e55bd2324abcbc9ef6f8c079669c66abba1de7e8d4ac5b00f7adb6

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=sha256:0ab6e2e37449f6921c7af1617ea00e6be7aa2d2a48930b07261011aae52d8561

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.676792Z digest=sha256:3a6292d1aee8b42b449c052d9150baa7d043f2985b6533215599f07ed3152f06

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.681982Z digest=sha256:68baa0d92ea229b18abe97a9016960f6c93740d8f71bee5c165bea93f2227539

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.687551Z digest=sha256:adb64a86e58ac8dda644bc13b6360d0c5240b0245d0702f3c9485b0475c820f7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.694420Z digest=sha256:6c9d47fd3b8a9dc5ef7fb92041172cb1006ea1bb9f62e765bc4c18603fc77ea5

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=sha256:886a685830365adc4a7d500fbf036caf6ff916c3f177848c359d999e3f14d7b4

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=sha256:77f14ce39c00f66369ba34ae4f708d3f780d4057c77ae848d153ae2fd8b6012a

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:22:24.709108Z digest=sha256:5efd0f1cf703fb5bf8ce4baa5eeaf335c8f2c737e279464fe74e1eaa3326312e

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=sha256:28caa78d11c329391be872ddd52eade423aad5370d8f3f1f4539c3b08874c84c

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:f9222e4c5cb8377af240dab31c8d24073ccac42bb382ede08a210dae1d2a37d6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.722713Z digest=sha256:e6465b8bd8d389fcd3a9ba35b68733dfee7ecbcfca068540189872ed5a2bec80

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=sha256:521979b5ae70c733e3c1f5e380ec8ec191c3dc1636f987e9bb7da54877090a97

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.730569Z digest=sha256:ef550483f551c0dba2b5ddb849e557e8b80715f04ae3ca89491a5297d322729f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.735451Z digest=sha256:d923e2017112c4e18a78e92169d92cbdf9347b48b94ead3975574e51d25e0b89

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=sha256:6c839b507e6bfc62007c8543c95c9abe258a504b20457c28bdb0ec6ed51dbcf6

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.743433Z digest=sha256:7050b2fcba15d666a0bf888477c0c5974e9c8a587203cc3415dfbbc773dbbe03

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.747230Z digest=sha256:1913be2c82b113fc113dcdc8b560629b82bdc9521a236eb091c84374677a1d11

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.751761Z digest=sha256:61c1adf6f340e5df2fdd1dd0be5d65bb1eda0ab3d6f91f70b754e57d4344f733

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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raw_fallback, observed 2026-08-15T17:22:25.149056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.755834Z digest=sha256:d53f6f481375ac302cc59a9eb922ac29c0a8da68d3cc1151f7ada3e407040960

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.760568Z digest=sha256:ab63c7e4c4b72667a07fea65f02f10da8262ad510cdcef24a7cf41f8441f1896

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.764574Z digest=sha256:b7961d757907882cd94d97a2ea4bb75e44286f0cb99f85873321ab09587a2ba1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.771436Z digest=sha256:ae74abd3e0a34948f8f0d0c23bae2d5c86f34db1bcdcd30d39e571db9f849b27

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=sha256:4b2f7f128e0abc6a1d6e28b5c17141edf55579c6b4ed1e2cc54817bfd54ef589

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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no resolver link, observed 2026-08-15T17:22:24.779412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:22:24.779412Z digest=sha256:e04a91e315d33e425ab86bfe1e81a89243e5f9154ace7a5a6cab47adb807a706

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.783968Z digest=sha256:d1104be671a528559a5b4ab9ae219572cc5510ab5c878eb32df3a0fefd3f3a58

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.788591Z digest=sha256:f7daf14f48cc945e2d444ced795f510306c5b80c11ad5eff2a99fb11f5539a24

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.793133Z digest=sha256:6aafd26675de7eb74f8407a61a019b668e65807b3389f94f9784a1a60aa3ed69

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:e21c6c13b3d046d8d80d8f3d6be99853b982303a61cf49a85a49273726542096

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=sha256:23afc85ac4dd1344b9bed0a738b6e3c2a6918241c6bb83deb73cf13bcbe6f9c6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.805541Z digest=sha256:2d260c9831d949cae66926a09e2a1df51711acc5b1f193d3d55e7b376b1d6857

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.809928Z digest=sha256:77bf782504900cf677d340970feda62b497b3b053bfd41c6a77cc4811acccf3a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.814642Z digest=sha256:d277ecb204d884f01869488c6f343e588a48e2225bd34c65d44c6aaab0599f72

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.818730Z digest=sha256:fc4a413ebd814e6c8121beb84eb7edd3aaddbfeb649487a3664c551bceae0058

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:24.823953Z digest=sha256:7041e3bdfeab354a92a15f05edcc7e376f4c28d71592538dd10bbd4f0c62807b

Pith citing papers

No inbound Pith citation observations are available.