Monocular Semantic Scene Completion via Masked Recurrent Networks | Paper Citation Record

Observation 48dcfd1a-5fc6-44f1-b68d-15a12d6bafd9 · outbound

This paper cites Learning representations and generative models for 3d point clouds.

Monocular Semantic Scene Completion via Masked Recurrent Networks Learning representations and generative models for 3d point clouds

Reference 1

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Observation 251dca42-ccf5-4b0c-9808-540b225e583c · outbound

This paper cites Rangevit: Towards vision transformers for 3d semantic segmentation in au- tonomous driving.

Monocular Semantic Scene Completion via Masked Recurrent Networks Rangevit: Towards vision transformers for 3d semantic segmentation in au- tonomous driving

Reference 2

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Observation 526702ca-5e11-4d11-84ad-4b999fdf441a · outbound

This paper cites Se- mantickitti: A dataset for semantic scene understanding of lidar sequences.

Monocular Semantic Scene Completion via Masked Recurrent Networks Se- mantickitti: A dataset for semantic scene understanding of lidar sequences

Reference 3

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This paper cites Adabins: Depth estimation using adaptive bins.

Monocular Semantic Scene Completion via Masked Recurrent Networks Adabins: Depth estimation using adaptive bins

Reference 4

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This paper cites Dynamiccity: Large-scale 4d oc- cupancy generation from dynamic scenes.

Monocular Semantic Scene Completion via Masked Recurrent Networks Dynamiccity: Large-scale 4d oc- cupancy generation from dynamic scenes

Reference 5

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Observation afbdc047-1976-4615-a5b4-5bcff04356a0 · outbound

This paper cites Also: Automotive lidar self- supervision by occupancy estimation.

Monocular Semantic Scene Completion via Masked Recurrent Networks Also: Automotive lidar self- supervision by occupancy estimation

Reference 6

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Observation cdc61ab5-9b11-4f8d-b226-0aa3a427c2c3 · outbound

This paper cites Monoscene: Monoc- ular 3d semantic scene completion.

Monocular Semantic Scene Completion via Masked Recurrent Networks Monoscene: Monoc- ular 3d semantic scene completion

Reference 7

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Observation 2b21083c-ae66-49bc-a100-3229a5569f92 · outbound

This paper cites Scenerf: Self- supervised monocular 3d scene reconstruction with radiance fields.

Monocular Semantic Scene Completion via Masked Recurrent Networks Scenerf: Self- supervised monocular 3d scene reconstruction with radiance fields

Reference 8

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Observation 1c609932-9295-4432-8e29-e06197566ac2 · outbound

This paper cites Pcam: Product of cross-attention matrices for rigid registration of point clouds.

Monocular Semantic Scene Completion via Masked Recurrent Networks Pcam: Product of cross-attention matrices for rigid registration of point clouds

Reference 9

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Observation 62df9be9-a606-4e9d-b5da-57206142ab56 · outbound

This paper cites Pasco: Urban 3d panoptic scene completion with uncertainty aware- ness.

Monocular Semantic Scene Completion via Masked Recurrent Networks Pasco: Urban 3d panoptic scene completion with uncertainty aware- ness

Reference 10

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Observation 70ac1650-bda7-49ae-91f5-21685e722968 · outbound

This paper cites Building a strong pre- training baseline for universal 3d large-scale perception.

Monocular Semantic Scene Completion via Masked Recurrent Networks Building a strong pre- training baseline for universal 3d large-scale perception

Reference 11

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Observation 0a803a4f-23f3-439a-b359-6f61f46916e1 · outbound

This paper cites Sca-cnn: Spatial and channel-wise attention in convolutional networks for image captioning.

Monocular Semantic Scene Completion via Masked Recurrent Networks Sca-cnn: Spatial and channel-wise attention in convolutional networks for image captioning

Reference 12

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Observation 8101bed2-1e9e-4a13-b308-f8c3c998602e · outbound

This paper cites Towards label-free scene understanding by vision foundation models.

Monocular Semantic Scene Completion via Masked Recurrent Networks Towards label-free scene understanding by vision foundation models

Reference 13

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Observation 6e26ce5a-1c04-4718-b510-e4016d81dd89 · outbound

This paper cites Clip2scene: Towards label-efficient 3d scene understanding by clip.

Monocular Semantic Scene Completion via Masked Recurrent Networks Clip2scene: Towards label-efficient 3d scene understanding by clip

Reference 14

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Observation 755bbd5c-991b-4f29-b287-0c62a962df2b · outbound

This paper cites 3d sketch-aware semantic scene comple- tion via semi-supervised structure prior.

Monocular Semantic Scene Completion via Masked Recurrent Networks 3d sketch-aware semantic scene comple- tion via semi-supervised structure prior

Reference 15

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Observation 734a8934-88be-4280-a7da-f2dd77b64e49 · outbound

This paper cites S3cnet: A sparse semantic scene completion net- work for lidar point cloud.

Monocular Semantic Scene Completion via Masked Recurrent Networks S3cnet: A sparse semantic scene completion net- work for lidar point cloud

Reference 16

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Observation 2fa5f261-4692-4a00-befd-1e8e8ba3fe74 · outbound

This paper cites Af2-s3net: Attentive feature fusion with adap- tive feature selection for sparse semantic segmentation net- work.

Monocular Semantic Scene Completion via Masked Recurrent Networks Af2-s3net: Attentive feature fusion with adap- tive feature selection for sparse semantic segmentation net- work

Reference 17

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Observation 5580e8ed-5639-4cbd-a071-6fcaf8eb1cc2 · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neu- ral networks.

Monocular Semantic Scene Completion via Masked Recurrent Networks 4d spatio-temporal convnets: Minkowski convolutional neu- ral networks

Reference 18

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Observation 977d25eb-89cc-4d48-8a8b-db34678bb3e1 · outbound

This paper cites 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction.

Monocular Semantic Scene Completion via Masked Recurrent Networks 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction

Reference 19

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Observation d1258f43-1fd8-4a7f-899c-a52a8b242755 · outbound

This paper cites Buol: A bottom-up framework with occupancy-aware lifting for panoptic 3d scene reconstruction from a single image.

Monocular Semantic Scene Completion via Masked Recurrent Networks Buol: A bottom-up framework with occupancy-aware lifting for panoptic 3d scene reconstruction from a single image

Reference 20

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Observation 28729733-025c-41c5-a72c-c7e9ec6b6564 · outbound

This paper cites Panoptic 3d scene reconstruction from a single rgb image.

Monocular Semantic Scene Completion via Masked Recurrent Networks Panoptic 3d scene reconstruction from a single rgb image

Reference 21

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Observation fbea67ad-7d61-4d3e-8a40-d8f583726e12 · outbound

This paper cites V ote3deep: Fast ob- ject detection in 3d point clouds using efficient convolu- tional neural networks.

Monocular Semantic Scene Completion via Masked Recurrent Networks V ote3deep: Fast ob- ject detection in 3d point clouds using efficient convolu- tional neural networks

Reference 22

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Observation aaa46ab6-a6cd-4581-8e7d-b4d6d0cf6e62 · outbound

This paper cites A point set generation network for 3d object reconstruction from a sin- gle image.

Monocular Semantic Scene Completion via Masked Recurrent Networks A point set generation network for 3d object reconstruction from a sin- gle image

Reference 23

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Observation cbfb0ad0-1031-446f-a0ea-7a6d3d48004e · outbound

This paper cites Are we ready for autonomous driving? the kitti vision bench- mark suite.

Monocular Semantic Scene Completion via Masked Recurrent Networks Are we ready for autonomous driving? the kitti vision bench- mark suite

Reference 24

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Observation 33233272-89aa-48a4-8e6b-81b9bf712907 · outbound

This paper cites Submanifold Sparse Convolutional Networks.

Monocular Semantic Scene Completion via Masked Recurrent Networks Submanifold Sparse Convolutional Networks

Reference 25

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This paper cites Scenenet: Understanding real world indoor scenes with synthetic data.

Monocular Semantic Scene Completion via Masked Recurrent Networks Scenenet: Understanding real world indoor scenes with synthetic data

Reference 26

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Observation a4842c5a-e8f6-4382-bf66-7dc59b1c4eb1 · outbound

This paper cites Is your hd map constructor reliable under sensor corruptions? In Advances in Neural Informa- tion Processing Systems, pages 22441–22482, 2024.

Monocular Semantic Scene Completion via Masked Recurrent Networks Is your hd map constructor reliable under sensor corruptions? In Advances in Neural Informa- tion Processing Systems, pages 22441–22482, 2024

Reference 27

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Observation 0716d4b5-2977-4ce8-96ba-03f48fa43d8f · outbound

This paper cites Deep residual learning for image recognition.

Monocular Semantic Scene Completion via Masked Recurrent Networks Deep residual learning for image recognition

Reference 28

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Observation 859b53f4-10f7-4be9-aa99-3d6d48d13fc0 · outbound

This paper cites Unified 3d and 4d panoptic segmentation via dynamic shifting networks.

Monocular Semantic Scene Completion via Masked Recurrent Networks Unified 3d and 4d panoptic segmentation via dynamic shifting networks

Reference 29

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This paper cites Squeeze-and-excitation networks.

Monocular Semantic Scene Completion via Masked Recurrent Networks Squeeze-and-excitation networks

Reference 30

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

Monocular Semantic Scene Completion via Masked Recurrent Networks Tri-perspective view for vision-based 3d semantic occupancy prediction

Reference 31

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Observation b8f4e1d5-e163-4fa4-a4d8-89bfd214b92c · outbound

This paper cites Sym- phonize 3d semantic scene completion with contextual in- stance queries.

Monocular Semantic Scene Completion via Masked Recurrent Networks Sym- phonize 3d semantic scene completion with contextual in- stance queries

Reference 32

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This paper cites Rethinking range view representation for lidar segmentation.

Monocular Semantic Scene Completion via Masked Recurrent Networks Rethinking range view representation for lidar segmentation

Reference 33

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This paper cites Benchmarking 3d perception robustness to common corruptions and sensor failure.

Monocular Semantic Scene Completion via Masked Recurrent Networks Benchmarking 3d perception robustness to common corruptions and sensor failure

Reference 34

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Observation aad24054-2f10-4d92-8f9e-58f27c1747ed · outbound

This paper cites Robo3d: Towards robust and reliable 3d perception against corruptions.

Monocular Semantic Scene Completion via Masked Recurrent Networks Robo3d: Towards robust and reliable 3d perception against corruptions

Reference 35

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Observation 20a28033-1448-4300-862b-35006effe06f · outbound

This paper cites Lasermix for semi-supervised lidar semantic segmentation.

Monocular Semantic Scene Completion via Masked Recurrent Networks Lasermix for semi-supervised lidar semantic segmentation

Reference 36

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This paper cites Cottereau, and Wei Tsang Ooi.

Monocular Semantic Scene Completion via Masked Recurrent Networks Cottereau, and Wei Tsang Ooi

Reference 37

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This paper cites Largead: Large-scale cross-sensor data pretraining for au- tonomous driving.

Monocular Semantic Scene Completion via Masked Recurrent Networks Largead: Large-scale cross-sensor data pretraining for au- tonomous driving

Reference 38

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This paper cites Multi- modal data-efficient 3d scene understanding for autonomous driving.

Monocular Semantic Scene Completion via Masked Recurrent Networks Multi- modal data-efficient 3d scene understanding for autonomous driving

Reference 39

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Observation 2479dd20-e8a8-4d93-b29e-ae5532f06b0d · outbound

This paper cites Hierarchical temporal context learning for camera-based semantic scene comple- tion.

Monocular Semantic Scene Completion via Masked Recurrent Networks Hierarchical temporal context learning for camera-based semantic scene comple- tion

Reference 40

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Observation 36a15ca0-751d-42c7-8ab2-90ac23a5f60a · outbound

This paper cites Brgscene: Bridging stereo geometry and bev representation with reliable mutual interaction for se- mantic scene completion.

Monocular Semantic Scene Completion via Masked Recurrent Networks Brgscene: Bridging stereo geometry and bev representation with reliable mutual interaction for se- mantic scene completion

Reference 41

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Observation 0cf7f932-57e7-4279-8b65-bb4b069ccbb7 · outbound

This paper cites Anisotropic convolutional networks for 3d semantic scene completion.

Monocular Semantic Scene Completion via Masked Recurrent Networks Anisotropic convolutional networks for 3d semantic scene completion

Reference 42

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Observation b06967ea-77e2-4251-88ed-63c4d0b494b0 · outbound

This paper cites Less is more: Reducing task and model complexity for 3d point cloud se- mantic segmentation.

Monocular Semantic Scene Completion via Masked Recurrent Networks Less is more: Reducing task and model complexity for 3d point cloud se- mantic segmentation

Reference 43

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Monocular Semantic Scene Completion via Masked Recurrent Networks Unresolved cited work

Reference 44

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This paper cites COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation.

Monocular Semantic Scene Completion via Masked Recurrent Networks COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation

Reference 45

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Observation d6efdd0d-a5ee-45be-bfa3-0d8f37b909a6 · outbound

This paper cites Seeground: See and ground for zero-shot open-vocabulary 3d visual grounding.

Monocular Semantic Scene Completion via Masked Recurrent Networks Seeground: See and ground for zero-shot open-vocabulary 3d visual grounding

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:21.166961Z

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Observation 1b6e996c-494b-4ed8-842a-31d65659f5ac · outbound

This paper cites V oxformer: Sparse voxel transformer for camera- based 3d semantic scene completion.

Monocular Semantic Scene Completion via Masked Recurrent Networks V oxformer: Sparse voxel transformer for camera- based 3d semantic scene completion

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:21.151295Z

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Observation a055e9cb-dbb3-4a8d-b588-a284b637cc4e · outbound

This paper cites Is your lidar placement optimized for 3d scene understanding? In Advances in Neural Information Process- ing Systems, pages 34980–35017, 2024.

Monocular Semantic Scene Completion via Masked Recurrent Networks Is your lidar placement optimized for 3d scene understanding? In Advances in Neural Information Process- ing Systems, pages 34980–35017, 2024

Reference 48

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

Monocular Semantic Scene Completion via Masked Recurrent Networks Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion

Reference 49

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This paper cites See and think: Disentangling semantic scene completion.

Monocular Semantic Scene Completion via Masked Recurrent Networks See and think: Disentangling semantic scene completion

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:21.118997Z

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Observation 792fd3a2-620a-49ac-b529-e5dc6e12f502 · outbound

This paper cites Uniseg: A unified multi-modal li- dar segmentation network and the openpcseg codebase.

Monocular Semantic Scene Completion via Masked Recurrent Networks Uniseg: A unified multi-modal li- dar segmentation network and the openpcseg codebase

Reference 51

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Observation 11543c19-d0cf-4822-9d02-383a70f6113b · outbound

This paper cites Segment any point cloud sequences by distilling vision foundation models.

Monocular Semantic Scene Completion via Masked Recurrent Networks Segment any point cloud sequences by distilling vision foundation models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:21.077099Z

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Observation 59e5396e-695b-48bc-9a6b-0f1056ccec82 · outbound

This paper cites Multi-space alignments towards universal lidar segmentation.

Monocular Semantic Scene Completion via Masked Recurrent Networks Multi-space alignments towards universal lidar segmentation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:21.052710Z

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Observation b5d987d5-96c5-4b83-8c2c-435be8b9d47d · outbound

This paper cites Self-supervised image- to-point distillation via semantically tolerant contrastive loss.

Monocular Semantic Scene Completion via Masked Recurrent Networks Self-supervised image- to-point distillation via semantically tolerant contrastive loss

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:21.035136Z

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Observation 83212143-e7f4-436e-ac00-e405a2d376d0 · outbound

This paper cites LiDPM: Rethinking Point Diffusion for Lidar Scene Completion.

Monocular Semantic Scene Completion via Masked Recurrent Networks LiDPM: Rethinking Point Diffusion for Lidar Scene Completion

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:19.192447Z

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Observation 644f06ab-c4ff-4eec-9641-7c4e13beffe0 · outbound

This paper cites Occupancy networks: Learning 3d reconstruction in function space.

Monocular Semantic Scene Completion via Masked Recurrent Networks Occupancy networks: Learning 3d reconstruction in function space

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:21.015765Z

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Observation 07a804c5-e118-4dcc-8f35-a9e90e8e650b · outbound

This paper cites Train till you drop: Towards stable and robust source-free unsupervised 3d do- main adaptation.

Monocular Semantic Scene Completion via Masked Recurrent Networks Train till you drop: Towards stable and robust source-free unsupervised 3d do- main adaptation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.995407Z

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Observation 85896637-3b88-47a5-95c5-96839c21edd9 · outbound

This paper cites Tempo- ral consistent 3d lidar representation learning for semantic perception in autonomous driving.

Monocular Semantic Scene Completion via Masked Recurrent Networks Tempo- ral consistent 3d lidar representation learning for semantic perception in autonomous driving

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.976184Z

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Observation 64979861-db0d-4471-92e0-80a21500d5c1 · outbound

This paper cites Deepsdf: Learning con- tinuous signed distance functions for shape representation.

Monocular Semantic Scene Completion via Masked Recurrent Networks Deepsdf: Learning con- tinuous signed distance functions for shape representation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.948206Z

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Observation 50e67148-6d86-4427-8ca8-793daf5d4d5b · outbound

This paper cites Convolutional occupancy networks.

Monocular Semantic Scene Completion via Masked Recurrent Networks Convolutional occupancy networks

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.923906Z

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Observation 25070796-d2f1-4981-8123-27579617ac65 · outbound

This paper cites Learning to adapt sam for segmenting cross-domain point clouds.

Monocular Semantic Scene Completion via Masked Recurrent Networks Learning to adapt sam for segmenting cross-domain point clouds

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.902685Z

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Observation fdf3b5d4-df3f-408f-833c-6da5eb5b6913 · outbound

This paper cites Using a waffle iron for automotive point cloud semantic segmenta- tion.

Monocular Semantic Scene Completion via Masked Recurrent Networks Using a waffle iron for automotive point cloud semantic segmenta- tion

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.874869Z

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Observation bfd562af-6518-4cf7-9a55-1859eae1b728 · outbound

This paper cites Three pillars improving vision foundation model distillation for lidar.

Monocular Semantic Scene Completion via Masked Recurrent Networks Three pillars improving vision foundation model distillation for lidar

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.853688Z

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Observation 7b475e4d-5b7d-4e9a-b6be-aa7c3d549df6 · outbound

This paper cites Completing 3d object shape from one depth image.

Monocular Semantic Scene Completion via Masked Recurrent Networks Completing 3d object shape from one depth image

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.822388Z

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Observation 26823350-9d9f-4d52-80f2-d8a531565646 · outbound

This paper cites Lmscnet: Lightweight multiscale 3d se- mantic completion.

Monocular Semantic Scene Completion via Masked Recurrent Networks Lmscnet: Lightweight multiscale 3d se- mantic completion

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.803793Z

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Observation be3dcbb0-c447-4522-8ee2-5af72770f68e · outbound

This paper cites You never get a second chance to make a good first impression: Seeding ac- tive learning for 3d semantic segmentation.

Monocular Semantic Scene Completion via Masked Recurrent Networks You never get a second chance to make a good first impression: Seeding ac- tive learning for 3d semantic segmentation

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.767542Z

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Observation 72359adc-1747-4998-8c40-ec07266ca642 · outbound

This paper cites MILAN: Milli-Annotations for Lidar Semantic Segmentation.

Monocular Semantic Scene Completion via Masked Recurrent Networks MILAN: Milli-Annotations for Lidar Semantic Segmentation

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:48:19.716852Z

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Observation bcf17259-f762-4d7e-99fa-026802ff431d · outbound

This paper cites Image-to-lidar self-supervised distillation for autonomous driving data.

Monocular Semantic Scene Completion via Masked Recurrent Networks Image-to-lidar self-supervised distillation for autonomous driving data

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.733594Z

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Observation c8eae49d-f06a-4a88-b6d5-6ef09e34a3cb · outbound

This paper cites Bevcontrast: Self-supervision in bev space for automotive lidar point clouds.

Monocular Semantic Scene Completion via Masked Recurrent Networks Bevcontrast: Self-supervision in bev space for automotive lidar point clouds

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.699848Z

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Observation c7d2f91c-4843-4194-b72a-5f584c023ff4 · outbound

This paper cites Clustering is back: Reaching state-of-the-art lidar instance segmentation without training.

Monocular Semantic Scene Completion via Masked Recurrent Networks Clustering is back: Reaching state-of-the-art lidar instance segmentation without training

Reference 70

Resolution: verified exact; raw_fallback, observed 2026-08-06T14:48:19.684419Z

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Observation c5f576db-4f2d-4378-b2a9-47e688ec787e · outbound

This paper cites Indoor segmentation and support inference from rgbd images.

Monocular Semantic Scene Completion via Masked Recurrent Networks Indoor segmentation and support inference from rgbd images

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.678067Z

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Observation 87c52b9c-6b80-4816-b246-9c3145d7658e · outbound

This paper cites Chang, Manolis Savva, and Thomas Funkhouser.

Monocular Semantic Scene Completion via Masked Recurrent Networks Chang, Manolis Savva, and Thomas Funkhouser

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.652748Z

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Observation d3e42746-52e1-40f1-b7fc-ef249fbfb8dd · outbound

This paper cites Searching efficient 3d archi- tectures with sparse point-voxel convolution.

Monocular Semantic Scene Completion via Masked Recurrent Networks Searching efficient 3d archi- tectures with sparse point-voxel convolution

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.626933Z

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Observation 114c0670-4bfe-4f36-abb8-d4da5d101e27 · outbound

This paper cites Semantic scene completion via integrating instances and scene in-the-loop.

Monocular Semantic Scene Completion via Masked Recurrent Networks Semantic scene completion via integrating instances and scene in-the-loop

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.597249Z

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Observation 0109fb70-9406-47ef-aaa2-374768a1e035 · outbound

This paper cites Meta- rangeseg: Lidar sequence semantic segmentation using mul- tiple feature aggregation.

Monocular Semantic Scene Completion via Masked Recurrent Networks Meta- rangeseg: Lidar sequence semantic segmentation using mul- tiple feature aggregation

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.520209Z

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Observation d07f0528-0f48-4691-8c60-61ac78934649 · outbound

This paper cites Lidar2map: In defense of lidar-based semantic map construction using online camera distillation.

Monocular Semantic Scene Completion via Masked Recurrent Networks Lidar2map: In defense of lidar-based semantic map construction using online camera distillation

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.486492Z

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Observation eb785623-7923-4d15-b271-bfbbc406607e · outbound

This paper cites Not all voxels are equal: Hardness-aware semantic scene completion with self- distillation.

Monocular Semantic Scene Completion via Masked Recurrent Networks Not all voxels are equal: Hardness-aware semantic scene completion with self- distillation

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.470184Z

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Observation 8159cfa2-9b09-4bf9-b79f-92583870b381 · outbound

This paper cites ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty Learning.

Monocular Semantic Scene Completion via Masked Recurrent Networks ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty Learning

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:48:19.509185Z

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Observation 1e6a1439-0f40-495b-8a84-024d8857be14 · outbound

This paper cites Pointlora: Low-rank adaptation with to- ken selection for point cloud learning.

Monocular Semantic Scene Completion via Masked Recurrent Networks Pointlora: Low-rank adaptation with to- ken selection for point cloud learning

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.442320Z

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Observation f7ba693d-25f8-45ef-b9e8-9e544f9be67b · outbound

This paper cites Ffnet: Frequency fu- sion network for semantic scene completion.

Monocular Semantic Scene Completion via Masked Recurrent Networks Ffnet: Frequency fu- sion network for semantic scene completion

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.424348Z

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Observation 19e54788-c4d2-4e79-b2bf-c1d50436950d · outbound

This paper cites Nuc-net: Non-uniform cylindrical partition network for ef- ficient lidar semantic segmentation.

Monocular Semantic Scene Completion via Masked Recurrent Networks Nuc-net: Non-uniform cylindrical partition network for ef- ficient lidar semantic segmentation

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.399460Z

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Observation 3baad1df-a21e-4be6-88fc-67acc4a52a25 · outbound

This paper cites H2gformer: Horizontal-to-global voxel transformer for 3d semantic scene completion.

Monocular Semantic Scene Completion via Masked Recurrent Networks H2gformer: Horizontal-to-global voxel transformer for 3d semantic scene completion

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.379264Z

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Observation d047f036-fe1a-49de-b1be-4e073071369f · outbound

This paper cites Scpnet: Se- mantic scene completion on point cloud.

Monocular Semantic Scene Completion via Masked Recurrent Networks Scpnet: Se- mantic scene completion on point cloud

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.347226Z

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Observation 3d08c49b-b6a6-4b7a-b594-9b0289d2b4c6 · outbound

This paper cites Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives.

Monocular Semantic Scene Completion via Masked Recurrent Networks Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:19.348528Z

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Observation 1bf1c88d-43d5-4547-8003-79c651f24c48 · outbound

This paper cites Benchmarking and im- proving bird’s eye view perception robustness in autonomous driving.

Monocular Semantic Scene Completion via Masked Recurrent Networks Benchmarking and im- proving bird’s eye view perception robustness in autonomous driving

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.324028Z

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Observation 684de91d-5b50-44bb-aaa9-640495817376 · outbound

This paper cites 4d contrastive superflows are dense 3d representation learners.

Monocular Semantic Scene Completion via Masked Recurrent Networks 4d contrastive superflows are dense 3d representation learners

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.296154Z

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Observation dd5c0652-01ec-4001-a886-65353ac29641 · outbound

This paper cites Frnet: Frustum-range networks for scalable lidar segmen- tation.

Monocular Semantic Scene Completion via Masked Recurrent Networks Frnet: Frustum-range networks for scalable lidar segmen- tation

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.265162Z

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Observation a3dee4f7-c44e-469b-b00e-1fb1c0e795a2 · outbound

This paper cites Limoe: Mixture of lidar represen- tation learners from automotive scenes.

Monocular Semantic Scene Completion via Masked Recurrent Networks Limoe: Mixture of lidar represen- tation learners from automotive scenes

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.231202Z

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Observation 3bfd38f7-36ce-4547-8f3c-b9b33bbc0ba3 · outbound

This paper cites Bi-ssc: Geometric-semantic bidirectional fusion for camera-based 3d semantic scene completion.

Monocular Semantic Scene Completion via Masked Recurrent Networks Bi-ssc: Geometric-semantic bidirectional fusion for camera-based 3d semantic scene completion

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.189367Z

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Observation 04286f8d-8311-434c-a6ae-70835e133402 · outbound

This paper cites Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion.

Monocular Semantic Scene Completion via Masked Recurrent Networks Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.161878Z

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Observation 6156eb08-6432-4499-a00d-17a6406cc98a · outbound

This paper cites 2dpass: 2d priors assisted semantic segmentation on lidar point clouds.

Monocular Semantic Scene Completion via Masked Recurrent Networks 2dpass: 2d priors assisted semantic segmentation on lidar point clouds

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.136522Z

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Observation 97608196-40eb-4d9c-bcf7-a586eb25c03a · outbound

This paper cites Ndc-scene: Boost monocular 3d semantic scene completion in normalized de- vice coordinates space.

Monocular Semantic Scene Completion via Masked Recurrent Networks Ndc-scene: Boost monocular 3d semantic scene completion in normalized de- vice coordinates space

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.109252Z

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Observation 6950cb2a-f3b4-4333-a99b-4937c3e46944 · outbound

This paper cites Efficient semantic scene comple- tion network with spatial group convolution.

Monocular Semantic Scene Completion via Masked Recurrent Networks Efficient semantic scene comple- tion network with spatial group convolution

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.075724Z

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Observation b34976a5-1c1a-4913-ab21-6f0ac57abfe9 · outbound

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

Monocular Semantic Scene Completion via Masked Recurrent Networks Occformer: Dual-path transformer for vision-based 3d semantic occu- pancy prediction

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.039856Z

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Observation a6bf403b-d13a-4658-b8ec-21793f6403aa · outbound

This paper cites Monoocc: Digging into monocular semantic oc- cupancy prediction.

Monocular Semantic Scene Completion via Masked Recurrent Networks Monoocc: Digging into monocular semantic oc- cupancy prediction

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:20.012032Z

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