Paper Citation Record · LEDGER

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection

As of 18 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2412.18884.

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

pith.paper-citation-record.v1
2412.18884 v3

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:27:27.407804Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T07:16:33.640040Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T07:16:54.772529Z

Reference resolution

60 of 60 outbound references displayed

verified exact1
verified fuzzy28
unresolved30
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 248b253c-c2d4-4fd7-8d7f-2f024d07e078 · outbound

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

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection 3d object detection for autonomous driving: A comprehensive survey,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.178748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e6bfca0-573c-4d0f-9079-4364ad1ba2d1 · outbound

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

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection V oxelnet: End-to-end learning for point cloud based 3d object detection,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.183368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c14506f-11ef-4dde-b8eb-f3b76ca4001b · outbound

This paper cites Multi-modal 3d object detection by box matching,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Multi-modal 3d object detection by box matching,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:28.135194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b71c7548-b8ef-4b9c-853d-5be9e5bed471 · outbound

This paper cites Scnet3d: Rethinking the feature extraction process of pillar-based 3d object detection,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Scnet3d: Rethinking the feature extraction process of pillar-based 3d object detection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:28.123740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ef1ca9e7-fc78-438e-8225-480fcf3b65ba · outbound

This paper cites Vision-centric bev perception: A survey,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Vision-centric bev perception: A survey,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:28.112220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8afe889-cb8f-440c-9ef5-20123cd42550 · outbound

This paper cites Occformer: Dual-path transformer for vision-based 3d semantic occupancy prediction,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Occformer: Dual-path transformer for vision-based 3d semantic occupancy prediction,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.199813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3c91e44-707b-4824-8cfa-566d86d1f6b7 · outbound

This paper cites GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.203910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70c963c4-991e-4390-809a-8f95e4a3a565 · outbound

This paper cites M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.208228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd71131a-9f0c-4227-bfbd-6c9d29fa6ad9 · outbound

This paper cites Fast-bev: A fast and strong bird’s-eye view perception baseline,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Fast-bev: A fast and strong bird’s-eye view perception baseline,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:28.093440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9f67a98b-312f-4e10-93b3-ee25ab889622 · outbound

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

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.216029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bcbeb5a-a193-4348-a1a7-5cc05e6d9bfb · outbound

This paper cites BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.220178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc00ee30-b251-4767-be7f-254a12ddc7b1 · outbound

This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.224662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbc1a9d1-bb65-4e69-81dd-055b2c2d87bf · outbound

This paper cites Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:28.075429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 91b53fa8-2882-4495-860a-6c2ff9f29a0b · outbound

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

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Detr3d: 3d object detection from multi-view images via 3d-to-2d queries,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:28.064209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 53d440b7-5f06-4e55-ad0e-4707895f7b93 · outbound

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

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,

Reference 15

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T04:27:28.052776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 50e22524-8e29-4411-b747-b4fc5a85a08e · outbound

This paper cites Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective supervision,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective supervision,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:28.040928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 896099cf-dca7-4883-b4f0-6e2a307cf7cb · outbound

This paper cites Petr: Position embedding trans- formation for multi-view 3d object detection,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Petr: Position embedding trans- formation for multi-view 3d object detection,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.243440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3b68727-33c0-4eab-b68f-a7d7d23eeba2 · outbound

This paper cites Petrv2: A unified framework for 3d perception from multi-camera images,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Petrv2: A unified framework for 3d perception from multi-camera images,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.247374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40ae3448-132d-494d-a05a-d558daf7c544 · outbound

This paper cites Deformable detr: De- formable transformers for end-to-end object detection,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Deformable detr: De- formable transformers for end-to-end object detection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:28.017273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0aeb239a-2d99-42fa-b53e-4afb4e667f9c · outbound

This paper cites Graph-detr3d: rethinking overlapping regions for multi-view 3d object detection,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Graph-detr3d: rethinking overlapping regions for multi-view 3d object detection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:28.005571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4dc490b5-f6f3-4f38-ae38-3be1a87f79bb · outbound

This paper cites an unresolved cited work.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:27:27.993564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d7e39313-a5ff-4711-85f6-ac2b31f0499a · outbound

This paper cites Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.262470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc55cf17-da32-40ea-a376-d0b5076d5bdf · outbound

This paper cites Bev-san: Accurate bev 3d object detection via slice attention networks,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Bev-san: Accurate bev 3d object detection via slice attention networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.982599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6f699418-a535-49cf-a491-ec69566d8052 · outbound

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

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.269821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e222962d-755f-4e9b-a8e7-955b439564ce · outbound

This paper cites Categorical depth distribution network for monocular 3d object detection,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Categorical depth distribution network for monocular 3d object detection,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.273473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b26922af-e3aa-481f-aa88-66fdafde2b6f · outbound

This paper cites Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.277881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96aa337c-d55e-4b26-98c3-da2fa17b0f7b · outbound

This paper cites Fb- bev: Bev representation from forward-backward view transformations,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Fb- bev: Bev representation from forward-backward view transformations,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.957334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0bb2369d-b760-421d-aa56-6b7402afc85e · outbound

This paper cites Bevnext: Reviving dense bev frameworks for 3d object detection,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Bevnext: Reviving dense bev frameworks for 3d object detection,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.945498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d1dcdd0b-3cfa-44f6-8d7a-7ab655f8c227 · outbound

This paper cites Exploring recurrent long-term temporal fusion for multi-view 3d perception,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Exploring recurrent long-term temporal fusion for multi-view 3d perception,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.934529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1fda6fd4-fa46-4362-bd4b-dd03275021ff · outbound

This paper cites Sparse4D v2: Recurrent Temporal Fusion with Sparse Model.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.293694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a91c9992-a669-40d2-889a-876176ea1ec6 · outbound

This paper cites Attention is all you need,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Attention is all you need,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.297713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 482967cb-fccb-4fe6-abf9-f53b6da610c7 · outbound

This paper cites Language Models are Few-Shot Learners.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Language Models are Few-Shot Learners

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.301273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be41743f-633d-4af3-a93f-64755edfeef9 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.305312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 953fbd3c-f0b4-4474-a375-7f3b6695152a · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.910023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9552e644-e8a5-420e-b60b-743fa0fe9f42 · outbound

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

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection End-to-end object detection with transformers,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.898384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ef7006e1-0113-4ebf-8031-5141c1459900 · outbound

This paper cites Detrs beat yolos on real-time object detection,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Detrs beat yolos on real-time object detection,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.317139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38a47b6b-1376-49b1-9f95-78e39809f175 · outbound

This paper cites Heightformer: Explicit height modeling without extra data for camera-only 3d object detection in bird’s eye view,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Heightformer: Explicit height modeling without extra data for camera-only 3d object detection in bird’s eye view,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.879757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5c782aa0-a27c-4120-88ff-e3f47874ffd3 · outbound

This paper cites Bevheight: A robust framework for vision-based roadside 3d object detection,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Bevheight: A robust framework for vision-based roadside 3d object detection,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.324335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4de4ccd4-50f8-4b8e-a910-1e9c20b25f52 · outbound

This paper cites BEVHeight++: Toward Robust Visual Centric 3D Object Detection.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection BEVHeight++: Toward Robust Visual Centric 3D Object Detection

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.327877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 924f8618-441c-4c52-afd2-86614ebd5e60 · outbound

This paper cites Ocbev: Object-centric bev transformer for multi-view 3d object detection,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Ocbev: Object-centric bev transformer for multi-view 3d object detection,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.861113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 26a7b9ad-5462-440c-a93e-b314e3e38e33 · outbound

This paper cites Deep residual learning for image recognition,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Deep residual learning for image recognition,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.335084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8004641c-d27b-46a1-9344-e62e1ec7ed28 · outbound

This paper cites Feature pyramid networks for object detection,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Feature pyramid networks for object detection,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.338484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8b00fcc-3e9d-4bfc-9cc9-d5feae9cdc97 · outbound

This paper cites Focal loss for dense object detection,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Focal loss for dense object detection,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.341982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97eca588-1014-4bd8-9698-cd941ca72128 · outbound

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

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection nuscenes: A multimodal dataset for autonomous driving,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.830126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2af96580-a56f-4c1c-854e-5d2631d420aa · outbound

This paper cites Deformable convolutional networks,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Deformable convolutional networks,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.819076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 03b53805-d924-4ef4-a871-0b23f1e330cd · outbound

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

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Fcos3d: Fully convolutional one- stage monocular 3d object detection,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.808303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2e2e4278-1abc-4b1c-9c63-fe1c60680bc6 · outbound

This paper cites Decoupled Weight Decay Regularization.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Decoupled Weight Decay Regularization

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.356993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e827323-b5dd-4243-ba1b-32354e29c8fa · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.360874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd894c49-1641-4675-91d6-0c431f495b63 · outbound

This paper cites Enhancing 3d object detection with 2d detection-guided query anchors,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Enhancing 3d object detection with 2d detection-guided query anchors,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.796795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 28f06a20-9af3-4c30-becc-de0d08fdbcd8 · outbound

This paper cites WidthFormer: Toward Efficient Transformer-based BEV View Transformation.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection WidthFormer: Toward Efficient Transformer-based BEV View Transformation

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:27:27.446532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1de83946-c390-4245-86c9-2a200b6963fe · outbound

This paper cites An energy and gpu- computation efficient backbone network for real-time object detection,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection An energy and gpu- computation efficient backbone network for real-time object detection,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.785339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 83dfda73-0fbb-47da-b0db-62933af9ca78 · outbound

This paper cites Is pseudo- lidar needed for monocular 3d object detection?.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Is pseudo- lidar needed for monocular 3d object detection?

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.376725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14e143c2-fd9e-4e31-8510-0681b2179acb · outbound

This paper cites Viewpoint equivariance for multi-view 3d object detection,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Viewpoint equivariance for multi-view 3d object detection,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.765911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 11c3c827-5715-445a-8ca9-40ab73eb5e5d · outbound

This paper cites Lyft level 5 av dataset 2019,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Lyft level 5 av dataset 2019,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.754728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 799e74dc-676f-4855-ae9c-8deb0c745fc8 · outbound

This paper cites MMDetection3D: OpenMMLab next-generation plat- form for general 3D object detection,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection MMDetection3D: OpenMMLab next-generation plat- form for general 3D object detection,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.743614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c7ba6050-8053-42da-ac06-8ace78be7699 · outbound

This paper cites Atlas: End-to-end 3d scene reconstruction from posed images,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Atlas: End-to-end 3d scene reconstruction from posed images,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.732118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eda0682d-5cae-4a44-9843-8fe66e1932ee · outbound

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

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.720674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1d7d4700-022c-4376-9b53-de1861a1b1a5 · outbound

This paper cites Second: Sparsely embedded convolutional detection,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Second: Sparsely embedded convolutional detection,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.400264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddfdf997-645a-4dec-9151-8b0042c05056 · outbound

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

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Pointpillars: Fast encoders for object detection from point clouds,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.403918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8696ae1e-565a-4951-b425-c40c5175f483 · outbound

This paper cites Ssn: Shape signature networks for multi-class object detection from point clouds,.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Ssn: Shape signature networks for multi-class object detection from point clouds,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:27:27.580062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 21067ac5-66d8-4e64-8639-b0ea8d51d5ac · inbound

CAM3DNet: Comprehensively mining the multi-scale features for 3D Object Detection with Multi-View Cameras cites this paper.

CAM3DNet: Comprehensively mining the multi-scale features for 3D Object Detection with Multi-View Cameras HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:16:54.773677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.