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Paper Citation Record · LEDGER

Generalizing Monocular 3D Object Detection

As of 16 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 0 inbound Pith citation observations for arXiv:2508.19593.

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

pith.paper-citation-record.v1
2508.19593 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:56:45.940439Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

100 of 300 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved98
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0023e98d-1609-48cb-ae04-3331bcf748d1 · outbound

This paper cites http://www.cvlibs.net/datasets/kitti/eval_object.php? obj_benchmark=3d.

Generalizing Monocular 3D Object Detection http://www.cvlibs.net/datasets/kitti/eval_object.php? obj_benchmark=3d

Reference 1

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Observation 4da58671-c078-4769-958e-981511608947 · outbound

This paper cites Augmentedrealitymeetscomputervision: Efficientdatagenerationforurbandrivingscenes.

Generalizing Monocular 3D Object Detection Augmentedrealitymeetscomputervision: Efficientdatagenerationforurbandrivingscenes

Reference 2

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Observation 92d957ec-6aac-4912-b885-ba4b87f27b68 · outbound

This paper cites Learningdetectionwithdiverseproposals.

Generalizing Monocular 3D Object Detection Learningdetectionwithdiverseproposals

Reference 3

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Observation 17093077-e287-4242-b0b0-ebbe2b100c9f · outbound

This paper cites VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control.

Generalizing Monocular 3D Object Detection VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control

Reference 4

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Observation b20655a9-4c02-4e4f-92ba-e6c1c0bb34de · outbound

This paper cites MonoFENet: Monocular3D object detection with feature enhancement networks.IEEE Transactions on Image Processing, 2019.

Generalizing Monocular 3D Object Detection MonoFENet: Monocular3D object detection with feature enhancement networks.IEEE Transactions on Image Processing, 2019

Reference 5

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Observation b55ff6da-8ed7-49f9-a09b-93f3e6f5d02c · outbound

This paper cites SemanticKITTI: A dataset for semantic scene understanding of LiDAR sequences.

Generalizing Monocular 3D Object Detection SemanticKITTI: A dataset for semantic scene understanding of LiDAR sequences

Reference 6

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Observation 83110045-b69c-46c2-ba2d-22cac73271f0 · outbound

This paper cites Monocular differentiable rendering for self-supervised3D object detection.

Generalizing Monocular 3D Object Detection Monocular differentiable rendering for self-supervised3D object detection

Reference 7

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Observation 31306a7c-5d34-4dbe-9ddc-1477a5ac95fa · outbound

This paper cites Learning with differentiable perturbed optimizers.

Generalizing Monocular 3D Object Detection Learning with differentiable perturbed optimizers

Reference 8

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Observation 8f1f1a19-fabf-461a-9210-20cc77093e85 · outbound

This paper cites An inequality for Mill’s ratio.The Annals of Mathematical Statistics,.

Generalizing Monocular 3D Object Detection An inequality for Mill’s ratio.The Annals of Mathematical Statistics,

Reference 9

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Observation 6646b1e8-2efc-4f9c-be78-858a19a71b72 · outbound

This paper cites Fast differentiable sorting and ranking.

Generalizing Monocular 3D Object Detection Fast differentiable sorting and ranking

Reference 10

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Observation fd094294-ce06-4b7a-847b-5639a252f8d1 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

Generalizing Monocular 3D Object Detection YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 11

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Observation 66fdfb8a-ba95-4b05-84ba-b95ce6a24b38 · outbound

This paper cites Soft-NMS–improving object detection with one line of code.

Generalizing Monocular 3D Object Detection Soft-NMS–improving object detection with one line of code

Reference 12

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Observation d73c2ef1-ca77-4f23-a943-4fc2c1fd627c · outbound

This paper cites Soft-NMSimplementa- tion.

Generalizing Monocular 3D Object Detection Soft-NMSimplementa- tion

Reference 13

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Observation 104d9128-7471-4b6a-9820-4164f1329948 · outbound

This paper cites Omni3D: A large benchmark and model for3D object detection in the wild.

Generalizing Monocular 3D Object Detection Omni3D: A large benchmark and model for3D object detection in the wild

Reference 14

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Observation 9a6a7c09-bb65-40a8-b3e7-4b23fa402dc0 · outbound

This paper cites M3D-RPN: Monocular3D region proposal network for object detection.

Generalizing Monocular 3D Object Detection M3D-RPN: Monocular3D region proposal network for object detection

Reference 15

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Observation f042fba5-5961-4fbc-a876-7b04aa952fd0 · outbound

This paper cites Pedestriandetectionwithautoregressivenetworkphases.

Generalizing Monocular 3D Object Detection Pedestriandetectionwithautoregressivenetworkphases

Reference 16

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Observation 6f9967a6-9200-41ae-a200-b673ade73999 · outbound

This paper cites Kinematic3D object detectioninmonocularvideo.

Generalizing Monocular 3D Object Detection Kinematic3D object detectioninmonocularvideo

Reference 17

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Observation 6b4185e8-60d2-4838-a823-162752425d05 · outbound

This paper cites Illuminating pedestrians via simultaneous detection & segmentation.

Generalizing Monocular 3D Object Detection Illuminating pedestrians via simultaneous detection & segmentation

Reference 18

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Observation 66377f09-439c-4887-ac13-4f5d3e9a192e · outbound

This paper cites Convolution from first principles.

Generalizing Monocular 3D Object Detection Convolution from first principles

Reference 19

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Observation 90f18c77-8708-4f9e-aab2-2f33362eb4d9 · outbound

This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

Generalizing Monocular 3D Object Detection Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 20

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Observation 40816baf-05b6-40ce-8329-027e231a12c8 · outbound

This paper cites The non-existence of general-case view-invariants.

Generalizing Monocular 3D Object Detection The non-existence of general-case view-invariants

Reference 21

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Observation 9ca668fc-ea6b-47ad-83b0-f571309969cb · outbound

This paper cites nuScenes: A multimodal dataset for autonomous driving.

Generalizing Monocular 3D Object Detection nuScenes: A multimodal dataset for autonomous driving

Reference 22

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Observation a0298d51-b210-4b0e-be63-c6b556f14fe9 · outbound

This paper cites 2 die when tesla crashes into parked tractor-trailer in florida.

Generalizing Monocular 3D Object Detection 2 die when tesla crashes into parked tractor-trailer in florida

Reference 23

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Observation 4d3ded41-75c3-4105-bc12-ce7343c7fb99 · outbound

This paper cites End-to-endobjectdetectionwithtransformers.

Generalizing Monocular 3D Object Detection End-to-endobjectdetectionwithtransformers

Reference 24

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source=pdf_text observed=2026-08-15T16:56:45.636293Z digest=sha256:74de8009e2e8885cb31c040b4559fdc7b9e0885bf06c0643de9c9e18a4d2425f

Observation 24254ba2-ff0a-4b7a-b2bc-15113f52781e · outbound

This paper cites Deep MANTA: A coarse-to-fine many-task network for joint2D and 3D vehi- cle analysis from monocular image.

Generalizing Monocular 3D Object Detection Deep MANTA: A coarse-to-fine many-task network for joint2D and 3D vehi- cle analysis from monocular image

Reference 25

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source=pdf_text observed=2026-08-15T16:56:45.640266Z digest=sha256:6e18cb28745accd9527c604186a3fa439b9a0f4d75eeb00dce012cbcadb94a57

Observation 591364f5-f662-4b19-95de-9e5c98fd15ac · outbound

This paper cites Unified domain generalization and adaptation for multi-view3D 81 object detection.

Generalizing Monocular 3D Object Detection Unified domain generalization and adaptation for multi-view3D 81 object detection

Reference 26

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Observation e7f2cbe4-2f46-41cb-9aa8-4191900911c6 · outbound

This paper cites CMDA: Cross-modal and domain adversarial adaptation for LiDAR-based3D object detection.

Generalizing Monocular 3D Object Detection CMDA: Cross-modal and domain adversarial adaptation for LiDAR-based3D object detection

Reference 27

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source=pdf_text observed=2026-08-15T16:56:45.652307Z digest=sha256:f1b00bd6613ecc158def874580302f87acbdece2814ad7de3d49dc4655887c5c

Observation 6f805356-5393-4cf4-8874-50868897851d · outbound

This paper cites RecurrentBEV: A long-term temporal fusion framework for multi-view3D detection.

Generalizing Monocular 3D Object Detection RecurrentBEV: A long-term temporal fusion framework for multi-view3D detection

Reference 28

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Observation 7e45ce87-f8d8-4a60-95b1-42656a52a39b · outbound

This paper cites Viewpoint equivariance for multi-view3D object detection.

Generalizing Monocular 3D Object Detection Viewpoint equivariance for multi-view3D object detection

Reference 29

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Observation ebacaf2b-39af-4a16-97b8-eccb0342324f · outbound

This paper cites AP-Lossforaccurate one-stage object detection.TPAMI, 2020.

Generalizing Monocular 3D Object Detection AP-Lossforaccurate one-stage object detection.TPAMI, 2020

Reference 30

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source=pdf_text observed=2026-08-15T16:56:45.668359Z digest=sha256:853eada62ecd4aef969cec4312e32010c465768b59e1b1849f2e3df5858bd8d6

Observation ceecd3d2-2f44-4ab7-b32c-40e1169fdcda · outbound

This paper cites Monocular 3D object detection for autonomous driving.

Generalizing Monocular 3D Object Detection Monocular 3D object detection for autonomous driving

Reference 31

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Observation 5a1debf9-9565-4a16-8e87-914354d80801 · outbound

This paper cites InNeurIPS,.

Generalizing Monocular 3D Object Detection InNeurIPS,

Reference 32

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source=pdf_text observed=2026-08-15T16:56:45.676597Z digest=sha256:fea44699dc2ef2ae4af4a4fb4a3b84e4b6bc3033ba209f276aefdd93998b5dd4

Observation 35cda1f6-6894-4a83-b98b-147012b83f43 · outbound

This paper cites Multi-view3D object detection network for autonomous driving.

Generalizing Monocular 3D Object Detection Multi-view3D object detection network for autonomous driving

Reference 33

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source=pdf_text observed=2026-08-15T16:56:45.680849Z digest=sha256:d5ed793d16240a42abf076af9fc69ae31aafc5cc5258213302cdc9663605fc58

Observation 719a152c-0ef6-4ceb-ade2-4fddb9a3c509 · outbound

This paper cites DSGN: Deep stereo geometry network for 3D object detection.

Generalizing Monocular 3D Object Detection DSGN: Deep stereo geometry network for 3D object detection

Reference 34

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source=pdf_text observed=2026-08-15T16:56:45.684801Z digest=sha256:8c8b51c00f5e49eafc9bd7d44bd5cec0952714039c130fff21815a1b18847ba4

Observation 5b73a95a-3aa2-4a3c-a109-1a5a9933e2ee · outbound

This paper cites MonoPair: Monocular 3D object detection using pairwise spatial relationships.

Generalizing Monocular 3D Object Detection MonoPair: Monocular 3D object detection using pairwise spatial relationships

Reference 35

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Observation d32066cb-daa6-419f-8340-a6fd9ce1053b · outbound

This paper cites Learning high-resolution vector representation from multi-camera images for 3D object detection.

Generalizing Monocular 3D Object Detection Learning high-resolution vector representation from multi-camera images for 3D object detection

Reference 36

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source=pdf_text observed=2026-08-15T16:56:45.692283Z digest=sha256:55efccbafbf6c74235966425f78191a5a41e09f412ffc1c4c2ddaa8d9aa003ca

Observation c7f2229b-1ca5-45f4-8828-bbf71c7e51b7 · outbound

This paper cites NEAT: Neural attention fields for end-to-end autonomous driving.

Generalizing Monocular 3D Object Detection NEAT: Neural attention fields for end-to-end autonomous driving

Reference 37

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source=pdf_text observed=2026-08-15T16:56:45.697219Z digest=sha256:95fac0e4ed15d7349ce5b2445c8f70fb7edc9f594455990ec3d2c5f86c6b8c96

Observation da2d4bc6-99ac-415d-9262-c369947f3d80 · outbound

This paper cites Depth-discriminativemetriclearningfor monocular 3D object detection.

Generalizing Monocular 3D Object Detection Depth-discriminativemetriclearningfor monocular 3D object detection

Reference 38

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source=pdf_text observed=2026-08-15T16:56:45.701299Z digest=sha256:6eb5e0f1f4aad10fa48a8eb813b5ae0a42be853b7b31b1b367da8c1c1f6e66ca

Observation 641ee501-239c-4df1-833b-34a4da035a75 · outbound

This paper cites MonoDistill: Learningspatialfeaturesformonocular 3Dobjectdetection.

Generalizing Monocular 3D Object Detection MonoDistill: Learningspatialfeaturesformonocular 3Dobjectdetection

Reference 39

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source=pdf_text observed=2026-08-15T16:56:45.705468Z digest=sha256:b6a95fddcadc693450b535e2f3eda24c48e12ade334e116c36cdb3b0bd639c82

Observation 3086c173-60c1-46c4-a144-bdee9429abff · outbound

This paper cites OA-DET3D: Embedding Object Awareness as a General Plug-in for Multi-Camera 3D Object Detection.

Generalizing Monocular 3D Object Detection OA-DET3D: Embedding Object Awareness as a General Plug-in for Multi-Camera 3D Object Detection

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source=pdf_text observed=2026-08-15T16:56:45.709425Z digest=sha256:df0992dd96997e6f9d63b4d45cef8ef9020b3d6eab284842c428810e7fde9d2f

Observation a8d043f0-eeef-434f-b6c5-0bd2368a3061 · outbound

This paper cites Spherical CNNs.

Generalizing Monocular 3D Object Detection Spherical CNNs

Reference 41

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source=pdf_text observed=2026-08-15T16:56:45.714337Z digest=sha256:16379ba409a71d1c1025077d8347534f5e50c61b83ae651f56bf99b0c3ac1eed

Observation 3fc2cd06-ebb5-426c-9a8e-40992c99a0fe · outbound

This paper cites Learning the irreducible representations of commutative lie groups.

Generalizing Monocular 3D Object Detection Learning the irreducible representations of commutative lie groups

Reference 42

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source=pdf_text observed=2026-08-15T16:56:45.718733Z digest=sha256:9b38fcd52a355352761f54bc54932930d5ccb2b6b42fd9de127f0d4699299929

Observation 905cd0fb-8cb5-4e46-b35d-80da319aed61 · outbound

This paper cites Group equivariant convolutional networks.

Generalizing Monocular 3D Object Detection Group equivariant convolutional networks

Reference 43

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T16:56:45.722976Z digest=sha256:69ed710181cb65fa13c3863f97469242f1600df9c2ef496ed3eea1ec1c4074b2

Observation 372ea970-0a5c-4d9d-ae12-fffd4f9ab963 · outbound

This paper cites MMDetection3D: OpenMMLab next-generation platform forgeneral 3Dobjectdetection.

Generalizing Monocular 3D Object Detection MMDetection3D: OpenMMLab next-generation platform forgeneral 3Dobjectdetection

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source=pdf_text observed=2026-08-15T16:56:45.726933Z digest=sha256:f4b06589a0f2099ca04a64fd4e40a90776209f7fbf24a634c6757748baa939fc

Observation 97879b9e-ed55-4fb9-ba55-b767c193b876 · outbound

This paper cites Multi-Task Learning with Deep Neural Networks: A Survey.

Generalizing Monocular 3D Object Detection Multi-Task Learning with Deep Neural Networks: A Survey

Reference 45

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source=pdf_text observed=2026-08-15T16:56:45.731876Z digest=sha256:08478d32d6ea04391dd4183c916f0c28c0672aecfb5e8daf667243adf48f8bb7

Observation 9b21043b-3e36-41d0-ad9e-53ac20e8c579 · outbound

This paper cites Differentiableranksandsortingusing optimal transport.

Generalizing Monocular 3D Object Detection Differentiableranksandsortingusing optimal transport

Reference 46

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source=pdf_text observed=2026-08-15T16:56:45.736143Z digest=sha256:9645281351b151edfedc53b30aa225fe5a0459012a4a895a52d798007bf1c865

Observation ff5dc338-7427-4509-8ed8-4799e3ffa1bb · outbound

This paper cites Histograms of oriented gradients for human detection.

Generalizing Monocular 3D Object Detection Histograms of oriented gradients for human detection

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.741115Z digest=sha256:836d8918d08fbe6860ad016973794b5b311a54eb23e3d4759e63388a04d3784b

Observation 7f81a7af-f81a-47b5-aa24-afcdf5c832b9 · outbound

This paper cites ImageNet: A large-scale hierarchical image database.

Generalizing Monocular 3D Object Detection ImageNet: A large-scale hierarchical image database

Reference 48

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T16:56:45.745113Z digest=sha256:5a363ff5f1811bdfd1b745680a7f086d8191bd6514f2ade457aec0b26c6014da

Observation 0cf2d74f-4810-4382-a924-a3e49e4dab54 · outbound

This paper cites Discriminative models for multi- class object layout.IJCV, 2011.

Generalizing Monocular 3D Object Detection Discriminative models for multi- class object layout.IJCV, 2011

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T16:56:45.748796Z digest=sha256:72800ab457d367aa0bb9bd07a698f4fa99529739f3c5cc1a5d49ad57aa5eb963

Observation 69057f43-8f57-4351-955e-ce0dbc0ac48d · outbound

This paper cites Exploiting cyclic symmetry in convolutional neural networks.

Generalizing Monocular 3D Object Detection Exploiting cyclic symmetry in convolutional neural networks

Reference 50

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source=pdf_text observed=2026-08-15T16:56:45.754004Z digest=sha256:ccaf403db0654b3728068df751b5ba937f0780e6fb82126b4351f2a269a55cc7

Observation 7a923d11-5ace-4512-937c-95bbf9aa723e · outbound

This paper cites Howdoneuralnetworksseedepthinsingleimages? In ICCV, 2019.

Generalizing Monocular 3D Object Detection Howdoneuralnetworksseedepthinsingleimages? In ICCV, 2019

Reference 51

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source=pdf_text observed=2026-08-15T16:56:45.757486Z digest=sha256:bfe03cc9350d762b553ffc6e1881646b0ca12e58347cccbd0c3795b0fdd75cae

Observation 22c7b739-4c01-4bce-8259-ef915e7c7bbc · outbound

This paper cites Learning depth-guided convolutions for monocular3D object detection.

Generalizing Monocular 3D Object Detection Learning depth-guided convolutions for monocular3D object detection

Reference 52

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T16:56:45.761015Z digest=sha256:7824b4bb0d8094a2bb4fb4629941e00eada7fab10a3fda31f96dbcc53695fc72

Observation 949cbf4c-4173-42df-b15b-d71411082eed · outbound

This paper cites SpatialDETR:Robustscalabletransformer-based 3Dobjectdetectionfrom multi-view camera images with global cross-sensor attention.

Generalizing Monocular 3D Object Detection SpatialDETR:Robustscalabletransformer-based 3Dobjectdetectionfrom multi-view camera images with global cross-sensor attention

Reference 53

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source=pdf_text observed=2026-08-15T16:56:45.765487Z digest=sha256:1b525bedba7c8a683a7df92650e06e9486d9465cdb23f14f528626c719b864c7

Observation 63dfbb1c-d143-4d14-bac0-6622a3f4dea7 · outbound

This paper cites Benchmarking robustness of3D object detection to common corruptions.

Generalizing Monocular 3D Object Detection Benchmarking robustness of3D object detection to common corruptions

Reference 54

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.768788Z digest=sha256:9578bd2b6697bd1195dd3911e59c5b5bfb861c2b1eef526332f25fd984f9fbbc

Observation 491a953a-1df0-4c3a-9c10-53387b6dd76e · outbound

This paper cites Animageisworth16x16words: Transformersforimage recognition at scale.

Generalizing Monocular 3D Object Detection Animageisworth16x16words: Transformersforimage recognition at scale

Reference 55

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.772171Z digest=sha256:363308fc7805b75a892ca6d41a66d937223178a8c44adad222f07e194adc7e49

Observation 30d63e81-6122-4994-935a-c70c0aca1a21 · outbound

This paper cites Polar transformer networks.

Generalizing Monocular 3D Object Detection Polar transformer networks

Reference 56

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.775909Z digest=sha256:bcde40d41f93b6e463b87ab465e43fad6db12dc08634aab0b7bf1b333a6438a8

Observation c10843fb-eb3e-4500-bd66-b988ec4ba005 · outbound

This paper cites CAM-Convs: Camera-aware multi-scale convolutions for single-view depth.

Generalizing Monocular 3D Object Detection CAM-Convs: Camera-aware multi-scale convolutions for single-view depth

Reference 57

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source=pdf_text observed=2026-08-15T16:56:45.779672Z digest=sha256:a734c6df0d44958659e60310878b957f44313b4045cf1675c177bd06ff61df91

Observation 9a878927-a0bd-45b7-958d-98d42ca3ac02 · outbound

This paper cites Fully sparse3D object detection.

Generalizing Monocular 3D Object Detection Fully sparse3D object detection

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.785633Z digest=sha256:e7995a4bbf36511b06209a2cf87786ac8375e9b84af10482b76b6f82d26434e5

Observation 0da82e6f-6f61-4452-92aa-a077cb36949f · outbound

This paper cites AeDet: Azimuth-invariant Multi-view 3D Object Detection.

Generalizing Monocular 3D Object Detection AeDet: Azimuth-invariant Multi-view 3D Object Detection

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Resolution
verified exact
local_arxiv, observed 2026-08-15T16:56:47.153968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:56:45.789445Z digest=sha256:fa30f137185badda1a1b9c625a1669cf00b6f722eb3e2cad20cd1d50f7cf42a9

Observation 0997ac6c-e360-445d-ae31-629649817569 · outbound

This paper cites A tesla driver was killed after smashing into a firetruck on a california highway.

Generalizing Monocular 3D Object Detection A tesla driver was killed after smashing into a firetruck on a california highway

Reference 60

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.793348Z digest=sha256:0e514fcc05535582f7fd203943cd8b11e2a38ebeac2a19b3a6d67dfebbe284c9

Observation 118aaf3e-03a2-4440-8c9b-392577dbdaef · outbound

This paper cites 3D object detection and viewpoint estimation with a deformable3D cuboid model.

Generalizing Monocular 3D Object Detection 3D object detection and viewpoint estimation with a deformable3D cuboid model

Reference 61

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T16:56:45.797209Z digest=sha256:85db835b6657245b6340eb785b85521957855faccabd49936e04c8152e3af582

Observation 22824d8e-6c40-4296-8044-ee046d445aec · outbound

This paper cites The design and use of steerable filters.TPAMI,.

Generalizing Monocular 3D Object Detection The design and use of steerable filters.TPAMI,

Reference 62

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T16:56:45.800676Z digest=sha256:f79029b00542af4154dadac4069efb9296e1b3e0bf7994e484359d19dd2bf851

Observation 93cd73fd-5fb6-4914-b2fd-819fef221054 · outbound

This paper cites Training or Architecture? How to Incorporate Invariance in Neural Networks.

Generalizing Monocular 3D Object Detection Training or Architecture? How to Incorporate Invariance in Neural Networks

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.804865Z digest=sha256:4c22f1269935220e1d7be494b4a446ab3973d9273810883fb52a559f297fc42f

Observation b1b99301-d893-49ee-817c-ffc680d44934 · outbound

This paper cites Hyperbolic neural net- works.

Generalizing Monocular 3D Object Detection Hyperbolic neural net- works

Reference 64

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.808441Z digest=sha256:387ce0849aca2aad547c4bec5cafb96de70669939a6c468782c88d353b7ad63c

Observation a19506ca-982d-45aa-b107-3b4783598c04 · outbound

This paper cites 3D-LaneNet: end-to-end 3D multiple lane detection.

Generalizing Monocular 3D Object Detection 3D-LaneNet: end-to-end 3D multiple lane detection

Reference 65

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T16:56:45.811856Z digest=sha256:38c085872a8086806e839307bd83c7d1e465b8cba7226b1305b22b2088e17d09

Observation dae74b9c-40cf-433e-be4b-ee2ae0668de6 · outbound

This paper cites Vision meets robotics: The KITTI dataset.IJRR, 2013.

Generalizing Monocular 3D Object Detection Vision meets robotics: The KITTI dataset.IJRR, 2013

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no resolver link, observed 2026-08-15T16:56:45.815389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.815389Z digest=sha256:98386eaf2625bab72bd933d510e0841e44aba111c838411faf0011901aa82475

Observation 096ce334-55b3-459c-ab57-4b67895b77a3 · outbound

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

Generalizing Monocular 3D Object Detection Are we ready for autonomous driving? the KITTI vision benchmark suite

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no resolver link, observed 2026-08-15T16:56:45.818952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.818952Z digest=sha256:779b11ee933ff7ca57b71f808abf0dc002726f771eca1407fe0ed492a3fbab99

Observation cf937a2e-dcb1-45cc-a386-8048076f74c0 · outbound

This paper cites Scalesteerablefiltersforlocallyscale-invariantconvolu- tional neural networks.

Generalizing Monocular 3D Object Detection Scalesteerablefiltersforlocallyscale-invariantconvolu- tional neural networks

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.822741Z digest=sha256:30c783386de01a734867f8d8e74cf0a6a85d09bd822f2b558b41af0f759bd553

Observation 5973bac5-04f2-46a2-8741-0262ebc6fe45 · outbound

This paper cites Fast R-CNN.

Generalizing Monocular 3D Object Detection Fast R-CNN

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.826407Z digest=sha256:5c216c0cdc680baf206cc575bfc326dbd165bac96910a8e7cac48a696b3a177a

Observation f17ee392-30b8-47d1-8485-dc49eefb9826 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.

Generalizing Monocular 3D Object Detection Rich feature hierarchies for accurate object detection and semantic segmentation

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.830024Z digest=sha256:11adc8486a3733fd76f19a84fea2032eb034e9c125e5e8b35babd984290f7479

Observation 732e54b0-7328-423b-96f1-0bf0c472f8e0 · outbound

This paper cites Matrix computations.

Generalizing Monocular 3D Object Detection Matrix computations

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.833265Z digest=sha256:3a1142cd07a1f1678e329366a5ee751802a64e2c0593ffdb898394d7aba7e7a6

Observation c058e2a0-ee5c-41cd-9233-036fa8dacdae · outbound

This paper cites Bird’s-eye-viewpanopticsegmentationusingmonocular frontal view images.RAL, 2022.

Generalizing Monocular 3D Object Detection Bird’s-eye-viewpanopticsegmentationusingmonocular frontal view images.RAL, 2022

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.836799Z digest=sha256:49dde2211b1f61a8a2031e129543ea7639d4e9725d070e790d38f5c4fb37d4c5

Observation 2aba1ecd-6d3d-4c4f-b849-b00337f8e265 · outbound

This paper cites Gen-lanenet: A generalized and scalable approach for3D lane detection.

Generalizing Monocular 3D Object Detection Gen-lanenet: A generalized and scalable approach for3D lane detection

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.839978Z digest=sha256:027ccb7f893b10b04d345a515e43e441a7f860da3e76cc8fa0d708880da4717f

Observation 338394f6-c899-4c0f-afbd-4ebac863447b · outbound

This paper cites Simple- BEV: What really matters for multi-sensor BEV perception? InCoRL, 2022.

Generalizing Monocular 3D Object Detection Simple- BEV: What really matters for multi-sensor BEV perception? InCoRL, 2022

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.843164Z digest=sha256:4161697485b596a76fe158ee94a14ead2cd0158f95f2fc52bcff9c4f3e53aa76

Observation 432d29b3-97c5-4a42-a9f2-684104512074 · outbound

This paper cites A combined corner and edge detector.

Generalizing Monocular 3D Object Detection A combined corner and edge detector

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.846648Z digest=sha256:a001c2a611fb23a2661902e0212ff29d2ed7ae12c9680676552336340f0edf91

Observation fb116794-e8ca-4bf1-92a8-5e5a7121e48a · outbound

This paper cites Cam- bridge university press, 2003.

Generalizing Monocular 3D Object Detection Cam- bridge university press, 2003

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.849918Z digest=sha256:2a5dd75367a7ef96a4489c223bcbb95473dd380a276feea7999c13eecd255f59

Observation 45142b55-45e9-401e-811e-fa34ada183de · outbound

This paper cites Deepresiduallearningforimage recognition.

Generalizing Monocular 3D Object Detection Deepresiduallearningforimage recognition

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no resolver link, observed 2026-08-15T16:56:45.853809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.853809Z digest=sha256:954d836791b3ed5268077253f81350df87739b052024cee59832e6cae350c84c

Observation 10e67bea-9fcb-4f51-8101-2b6ff984f317 · outbound

This paper cites End-to-end training of object class detectors for mean average precision.

Generalizing Monocular 3D Object Detection End-to-end training of object class detectors for mean average precision

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T16:56:45.857266Z digest=sha256:dc2955b3b0db62ce4eadced5febb2e958f303a19ac2194148f966b33bb547a43

Observation b876e363-2853-4ca6-8716-3c57715aaa9b · outbound

This paper cites Warped convolutions: Efficient invariance to spatial transformations.

Generalizing Monocular 3D Object Detection Warped convolutions: Efficient invariance to spatial transformations

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:56:45.861374Z digest=sha256:21fe41b8fbfefc2e022f0aef03d38890f6a0d5aa407f4b9ea41d79206b242b6b

Observation 65287b1e-fab1-42fe-80e0-b3cf2da7fd2b · outbound

This paper cites A convnet for non-maximum suppres- sion.

Generalizing Monocular 3D Object Detection A convnet for non-maximum suppres- sion

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Observation 4ff339ca-c637-48dc-ae01-cb264a91f335 · outbound

This paper cites Learning non-maximum suppression.

Generalizing Monocular 3D Object Detection Learning non-maximum suppression

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source=pdf_text observed=2026-08-15T16:56:45.869457Z digest=sha256:fa02a916fb653402e544065b74121e566fb4bd79adf536d78d5fcb780e97ca38

Observation cf9697ae-b467-4656-a0d3-c8677ded8bed · outbound

This paper cites OPEN:Object-wisepositionembeddingformulti-view 3Dobjectdetection.

Generalizing Monocular 3D Object Detection OPEN:Object-wisepositionembeddingformulti-view 3Dobjectdetection

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source=pdf_text observed=2026-08-15T16:56:45.873022Z digest=sha256:525937b481027fe959b2ec20cba022479a98c09f13b45104a3b40a2c77b43c47

Observation bf1f9cdd-1737-4bb0-8ada-b2f09dc26ec3 · outbound

This paper cites FIERY: future instance prediction in bird’s-eye view from surround monocular cameras.

Generalizing Monocular 3D Object Detection FIERY: future instance prediction in bird’s-eye view from surround monocular cameras

Reference 83

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source=pdf_text observed=2026-08-15T16:56:45.877622Z digest=sha256:ffbc400ed59bc1b1e28a3c96736634ab73d963b0fd4ba10bb7ba44013aebc494

Observation 4f4d569c-1606-402e-a632-9cd98c1fca03 · outbound

This paper cites Investigating theimpactofmulti-LiDARplacementonobjectdetectionforautonomousdriving.

Generalizing Monocular 3D Object Detection Investigating theimpactofmulti-LiDARplacementonobjectdetectionforautonomousdriving

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source=pdf_text observed=2026-08-15T16:56:45.882838Z digest=sha256:46454ba4d12808febc9496b2d045dd969edf7d2904afb4768e9bfcb8f62157a8

Observation c987b4ff-a4ce-4248-a129-04b6b09d5017 · outbound

This paper cites What you see is what you get: Exploiting visibility for3D object detection.

Generalizing Monocular 3D Object Detection What you see is what you get: Exploiting visibility for3D object detection

Reference 85

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source=pdf_text observed=2026-08-15T16:56:45.887410Z digest=sha256:8ee32a981a121f65bf62b5c1d639248525ae72cdb8e4c6641443e0616cdd47a1

Observation 46507a7f-b06c-4838-8385-a81cca6561a1 · outbound

This paper cites Densely connected convolutional networks.

Generalizing Monocular 3D Object Detection Densely connected convolutional networks

Reference 86

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source=pdf_text observed=2026-08-15T16:56:45.891011Z digest=sha256:8025136a3dc7296c4232255fd5072008399db0e0de4915582ead11e37fa08f4b

Observation 76615bec-adc8-403f-974a-e6447d6958c1 · outbound

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

Generalizing Monocular 3D Object Detection BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection

Reference 87

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source=pdf_text observed=2026-08-15T16:56:45.894740Z digest=sha256:d3267887d11c3fea86c5fff923f3a34aba8ac5670fb1de8a66129521ae81664d

Observation e442f13b-143d-4692-8547-261bf2ffe443 · outbound

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

Generalizing Monocular 3D Object Detection BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 88

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source=pdf_text observed=2026-08-15T16:56:45.898373Z digest=sha256:8f7535912971882f963fe145f2483e4f2adfddf7b7e8106cb5aebed40722fa1d

Observation 5af0e755-7f2c-49d3-90a8-c966086c08fb · outbound

This paper cites InCVPR, 2022.

Generalizing Monocular 3D Object Detection InCVPR, 2022

Reference 89

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source=pdf_text observed=2026-08-15T16:56:45.901950Z digest=sha256:8e72ad26d298177da8de04b459aeec5e4494ab6e5d00bed2c73f6ecff00b252a

Observation 931123df-4a08-4c16-b118-9eab790ac36c · outbound

This paper cites EPNet: Enhancing point features with image semantics for3D object detection.

Generalizing Monocular 3D Object Detection EPNet: Enhancing point features with image semantics for3D object detection

Reference 90

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source=pdf_text observed=2026-08-15T16:56:45.905279Z digest=sha256:4729a556e2f7fa545f5bbc9cce7233732e89a66d571f05fea61ff35d6c841894

Observation 1ff38759-d08c-40d6-a87c-0897fe51ad35 · outbound

This paper cites STXD:Structural andtemporalcross-modaldistillationformulti-view 3Dobjectdetection.

Generalizing Monocular 3D Object Detection STXD:Structural andtemporalcross-modaldistillationformulti-view 3Dobjectdetection

Reference 91

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source=pdf_text observed=2026-08-15T16:56:45.908937Z digest=sha256:a66bc458b70eefc473b876957099c4b258831adf0dcd689c8dc10f43510d60a6

Observation e5c0501d-7922-42b5-b0eb-013d1b66fedd · outbound

This paper cites Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales.IJCV, 2021.

Generalizing Monocular 3D Object Detection Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales.IJCV, 2021

Reference 92

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source=pdf_text observed=2026-08-15T16:56:45.912408Z digest=sha256:68f7dc903af7cc09816914f603c543e8aa66cc1fc7ce3f46d233a51221736190

Observation 12276854-acee-4b6f-9ef6-cb33a48e0074 · outbound

This paper cites Enhancing 3Dobjectdetectionwith 2D detection-guided query anchors.

Generalizing Monocular 3D Object Detection Enhancing 3Dobjectdetectionwith 2D detection-guided query anchors

Reference 93

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source=pdf_text observed=2026-08-15T16:56:45.916288Z digest=sha256:56fe7c83739041eac9aef5acf7625de3397ea965003d7d5ef4c6bc0f14cb2cf6

Observation 41d9af42-244c-473b-9cd8-1de4547bef9e · outbound

This paper cites MonoUNI:Aunifiedvehicleandinfrastructure-side monocular 3D object detection network with sufficient depth clues.

Generalizing Monocular 3D Object Detection MonoUNI:Aunifiedvehicleandinfrastructure-side monocular 3D object detection network with sufficient depth clues

Reference 94

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source=pdf_text observed=2026-08-15T16:56:45.919605Z digest=sha256:154900f1618775b08c4ed140b6ba546f39519851cea2abdabd24bc391d88007d

Observation daceddb3-9159-437f-8906-480dd33b230e · outbound

This paper cites Polarformer: Multi-camera 3D object detection with polar transformers.

Generalizing Monocular 3D Object Detection Polarformer: Multi-camera 3D object detection with polar transformers

Reference 95

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source=pdf_text observed=2026-08-15T16:56:45.923850Z digest=sha256:048bb53eab7336b044fa72ed435f05f1fb8907ba67a6cd342be0aff5b9fa7d2f

Observation ab75cb65-7434-4c3a-b6ec-81e96ba92097 · outbound

This paper cites FSD-BEV:Foregroundself-distillationformulti-view 3Dobjectdetection.

Generalizing Monocular 3D Object Detection FSD-BEV:Foregroundself-distillationformulti-view 3Dobjectdetection

Reference 96

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source=pdf_text observed=2026-08-15T16:56:45.926976Z digest=sha256:a21103ab27a446da4ee48bd63965f6fc5c3c8c47f4f5cc3d56c3bcaeaec21b0e

Observation 3cee754c-933e-42fe-825f-8eead9bedca4 · outbound

This paper cites Physical symmetry enhanced neural networks.

Generalizing Monocular 3D Object Detection Physical symmetry enhanced neural networks

Reference 97

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source=pdf_text observed=2026-08-15T16:56:45.930245Z digest=sha256:3b0aa68927c60399aba1a74c4df0c82095661f2b21d6b1736f62f631af1443b9

Observation f1521cef-1759-4d50-a840-782ccf7154c6 · outbound

This paper cites Locally scale-invariant convolu- tional neural networks.

Generalizing Monocular 3D Object Detection Locally scale-invariant convolu- tional neural networks

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source=pdf_text observed=2026-08-15T16:56:45.933752Z digest=sha256:efd2f707a75c24e8ec9686810a2b1d8b69172a97d650dbd74819bc13e3d0fee6

Observation 6ca68146-f531-4ca9-b3ad-7ee5c1ba99e9 · outbound

This paper cites Probabilistic anchor assignment with IoU prediction for object 86 detection.

Generalizing Monocular 3D Object Detection Probabilistic anchor assignment with IoU prediction for object 86 detection

Reference 99

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source=pdf_text observed=2026-08-15T16:56:45.937310Z digest=sha256:803a6410f404f1b8e12a50d1cfa666cc66da8cb26ebec16ad40caa21c6ec147c

Observation 4b316b94-3d08-4d88-8256-6d9ce06fad10 · outbound

This paper cites La- belDistill: Label-guided cross-modal knowledge distillation for camera-based3D object detection.

Generalizing Monocular 3D Object Detection La- belDistill: Label-guided cross-modal knowledge distillation for camera-based3D object detection

Reference 100

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Pith citing papers

No inbound Pith citation observations are available.