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Paper Citation Record · LEDGER

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction

As of 19 August 2026, this Paper Citation Record lists 100 of 103 outbound references and 0 inbound Pith citation observations for arXiv:2607.04732.

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

pith.paper-citation-record.v1
2607.04732 v1

Coverage vector

measured 100 of 103 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-11T14:25:21.264423Z

measured 100 of 100 standing notices

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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100 of 103 outbound references displayed

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Outbound references

Observation 1382a18b-9d3f-4516-a1b0-efdb9fd6aa6a · outbound

This paper cites V oxnet: A 3d convolutional neural network for real-time object recognition,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction V oxnet: A 3d convolutional neural network for real-time object recognition,

Reference 1

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Observation a648a8b8-099a-4f6e-bd68-d4fd38fcfe6f · outbound

This paper cites Openoccupancy: A large scale benchmark for surrounding semantic occupancy perception,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Openoccupancy: A large scale benchmark for surrounding semantic occupancy perception,

Reference 2

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Observation 94a93ed6-e6be-4aa3-aacb-17dffd7470a4 · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,

Reference 3

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Observation 7d4064a7-d3c7-41e6-a88b-0f5dfe6a9d38 · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 4

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Observation fe0f2a26-114d-4a05-ad57-2ab911444047 · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Tri-perspective view for vision-based 3d semantic occupancy prediction,

Reference 5

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Observation 2e1ba811-9a59-474d-b3d4-f44ea6163c30 · outbound

This paper cites Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end autonomous driving,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end autonomous driving,

Reference 6

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Observation e760652f-70fc-49c1-a149-01988e3239b2 · outbound

This paper cites Planning-oriented autonomous driving,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Planning-oriented autonomous driving,

Reference 7

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Observation aa291c4d-6132-49c3-ad25-93e4f8eb5c95 · outbound

This paper cites Genad: Generative end-to-end autonomous driving,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Genad: Generative end-to-end autonomous driving,

Reference 8

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Observation 241531b6-df7f-4eb5-addf-f7936da83e0b · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,

Reference 9

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Observation aa295924-20b5-4a6a-a683-60dca48b1aa6 · outbound

This paper cites BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 10

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Observation aeec11b5-7f9e-4b92-8451-769ec4322743 · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Pointpillars: Fast encoders for object detection from point clouds,

Reference 11

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Observation 92b1006b-b5e6-4aca-ae92-0630d8684613 · outbound

This paper cites Alleviating foreground sparsity for semi-supervised monocular 3d object detection,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Alleviating foreground sparsity for semi-supervised monocular 3d object detection,

Reference 12

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Observation 67d0e02f-5061-480f-bcd7-841118e5d51f · outbound

This paper cites Unidistill: A universal cross-modality knowledge distillation framework for 3d object detec- tion in bird’s-eye view,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Unidistill: A universal cross-modality knowledge distillation framework for 3d object detec- tion in bird’s-eye view,

Reference 13

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Observation 33062175-6948-4343-875f-99aeea393aec · outbound

This paper cites Bi-stream knowledge transfer for semi-supervised 3d point cloud object detection,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Bi-stream knowledge transfer for semi-supervised 3d point cloud object detection,

Reference 14

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Observation fb490652-fe55-40d8-a914-e70b8c1830a5 · outbound

This paper cites Litefusion: Taming 3d object detectors from vision-based to multi-modal with minimal adaptation,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Litefusion: Taming 3d object detectors from vision-based to multi-modal with minimal adaptation,

Reference 15

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Observation 6f030ab8-fa58-41c5-8ad1-62c0e6584441 · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Transfusion: Robust lidar-camera fusion for 3d object detection with transformers,

Reference 16

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Observation e56acec8-2dd7-43f3-85e1-3fe26ea4a220 · outbound

This paper cites Second: Sparsely embedded convolutional detection,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Second: Sparsely embedded convolutional detection,

Reference 17

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Observation a80ab44a-4129-4552-a03c-d742fa0ac346 · outbound

This paper cites Rclane: Relay chain prediction for lane detection,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Rclane: Relay chain prediction for lane detection,

Reference 18

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Observation 12736a21-f891-41ac-a5b6-e68d8ab85f46 · outbound

This paper cites Prototransfer: Cross-modal prototype transfer for point cloud segmentation,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Prototransfer: Cross-modal prototype transfer for point cloud segmentation,

Reference 19

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Observation 69d00620-8475-4223-8384-6a6ba8c5acd5 · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction 2dpass: 2d priors assisted semantic segmentation on lidar point clouds,

Reference 20

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Observation cb8ece5a-3740-451a-8482-dc14f9e5b3f0 · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Uniseg: A unified multi-modal lidar segmentation network and the openpcseg codebase,

Reference 22

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Observation 19dc819f-7a59-4ce0-8d9b-1bfd82a1c30a · outbound

This paper cites Mseg3d: Multi-modal 3d semantic segmentation for autonomous driving,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Mseg3d: Multi-modal 3d semantic segmentation for autonomous driving,

Reference 23

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Observation 3b9d3774-c442-4eba-8fd4-9560d5100715 · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving,

Reference 24

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Observation 9c916632-e8a6-46cd-b334-0e5131167ca5 · outbound

This paper cites OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries

Reference 25

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Observation cef76927-aac6-4c42-9c07-e3ee31aabb33 · outbound

This paper cites Opus: occupancy prediction using a sparse set,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Opus: occupancy prediction using a sparse set,

Reference 26

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Observation 00148afe-c708-488d-a015-e82905be5fe7 · outbound

This paper cites Sparseocc: Rethinking sparse latent representation for vision-based semantic occupancy prediction,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Sparseocc: Rethinking sparse latent representation for vision-based semantic occupancy prediction,

Reference 27

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Observation f03ac30e-34f2-421a-ae79-110b3de75d83 · outbound

This paper cites Fully sparse 3d panoptic occupancy prediction,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Fully sparse 3d panoptic occupancy prediction,

Reference 28

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Observation d91652bc-f2e6-4258-9e4d-f91e1e884bf6 · outbound

This paper cites FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin

Reference 29

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Observation 7013b43e-4b58-4951-b374-4ac5f193a6a9 · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction

Reference 30

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Observation a39b90ab-4f01-4988-9118-3be089b3bbf3 · outbound

This paper cites GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction

Reference 31

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Observation a53fac5c-a1f0-4388-b20f-e84d0b1c7a14 · outbound

This paper cites FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation

Reference 32

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Observation fb88f863-e690-4886-a2bd-7e1818cd6626 · outbound

This paper cites Scene as occupancy,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Scene as occupancy,

Reference 33

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Observation e7ab9ac1-c714-4419-83d1-726253fe4ebc · outbound

This paper cites Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving

Reference 34

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Observation a97b4270-c7e9-4d6f-907f-77739bd8741a · outbound

This paper cites BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Reference 35

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Observation 0fbbd99a-645e-42f8-8614-3570077e6851 · outbound

This paper cites PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction

Reference 36

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Observation ac6885a5-ac0c-4398-b443-b563f6795605 · outbound

This paper cites Spconv: Spatially sparse convolution library,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Spconv: Spatially sparse convolution library,

Reference 37

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Observation e3f7fcd4-d5bb-4bf2-bb48-bbc6a5aed5cd · outbound

This paper cites Faster R-CNN: Towards real-time object detection with region proposal networks,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Faster R-CNN: Towards real-time object detection with region proposal networks,

Reference 38

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Observation 506954d4-26e8-4638-9b91-d321faacd097 · outbound

This paper cites Deepsdf: Learning continuous signed distance functions for shape representation,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Deepsdf: Learning continuous signed distance functions for shape representation,

Reference 39

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Observation e430de2a-5782-4ced-a3fa-a9fe4704ce7c · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Occformer: Dual-path transformer for vision-based 3d semantic occupancy prediction,

Reference 40

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Observation 0e761490-33fa-40ef-9d80-4a2f29e779ee · outbound

This paper cites Semantickitti: A dataset for semantic scene understanding of lidar sequences,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Semantickitti: A dataset for semantic scene understanding of lidar sequences,

Reference 41

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Observation d694ba10-7cd2-4f7e-ae19-63386db2955c · outbound

This paper cites Monoscene: Monocular 3d semantic scene completion,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Monoscene: Monocular 3d semantic scene completion,

Reference 42

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Observation 32a319b1-51b8-4e4e-a89c-90c5abf0805e · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Nuscenes: A multimodal dataset for autonomous driving,

Reference 43

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Observation c61abcb9-19b9-4696-99dd-3d12ae3efe0a · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Scalability in perception for autonomous driving: Waymo open dataset,

Reference 44

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Observation e14c47d0-4339-4119-8d67-5d212ac4d4ec · outbound

This paper cites Fastocc: Accelerating 3d occupancy prediction by fusing the 2d bird’s-eye view and perspective view,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Fastocc: Accelerating 3d occupancy prediction by fusing the 2d bird’s-eye view and perspective view,

Reference 45

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Observation 751f3126-696e-4bff-abaf-91acf28ab386 · outbound

This paper cites Occrwkv: Rethinking efficient 3d semantic occupancy prediction with linear complexity,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Occrwkv: Rethinking efficient 3d semantic occupancy prediction with linear complexity,

Reference 46

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source=pdf_text observed=2026-07-11T14:25:21.264423Z digest=sha256:6e19b6435c550784ab801ad8708a0db1d6f9ad8377f8c99d19f0e49829e96c00

Observation 9ec0ce62-44f0-485a-b19c-8a02ad7e30fb · outbound

This paper cites Panoocc: Unified occupancy representation for camera-based 3d panoptic segmentation,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Panoocc: Unified occupancy representation for camera-based 3d panoptic segmentation,

Reference 47

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Observation 7ccaaac1-a7e9-4e75-9d82-77b9d9fc4f2f · outbound

This paper cites V oxelsplat: Dynamic gaussian splatting as an effective loss for occupancy and flow prediction,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction V oxelsplat: Dynamic gaussian splatting as an effective loss for occupancy and flow prediction,

Reference 48

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Observation 9884028f-8e9d-43b7-a7d7-c2dd8813f31c · outbound

This paper cites Gs-occ3d: Scaling vision-only occupancy reconstruction with gaussian splatting,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Gs-occ3d: Scaling vision-only occupancy reconstruction with gaussian splatting,

Reference 49

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Observation 8b135f5f-7360-4401-98fc-e6d24a3cb17f · outbound

This paper cites Gauss- render: Learning 3d occupancy with gaussian rendering,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Gauss- render: Learning 3d occupancy with gaussian rendering,

Reference 50

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Observation c6dcdea7-add6-49f8-84a0-8a4ffa969e2b · outbound

This paper cites Gaussianworld: Gaussian world model for streaming 3d occupancy prediction,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Gaussianworld: Gaussian world model for streaming 3d occupancy prediction,

Reference 51

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source=pdf_text observed=2026-07-11T14:25:21.264423Z digest=sha256:b49c1520e7c8c1e48b816dff5eaf6163d188829132c2d877155b1f216c06bf9d

Observation 2b3cbb6f-6d9f-4732-8ae3-296fa6df82d0 · outbound

This paper cites Visionpad: A vision-centric pre-training paradigm for autonomous driving,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Visionpad: A vision-centric pre-training paradigm for autonomous driving,

Reference 52

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Observation d65dcf05-c239-48f8-a813-8a6386f56f5c · outbound

This paper cites Occmamba: Semantic occupancy prediction with state space models,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Occmamba: Semantic occupancy prediction with state space models,

Reference 53

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Observation 3e1ceb30-5693-4eaa-80a9-252e4217caaa · outbound

This paper cites Alocc: Adaptive lifting-based 3d semantic occupancy and cost volume-based flow predictions,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Alocc: Adaptive lifting-based 3d semantic occupancy and cost volume-based flow predictions,

Reference 54

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Observation fe755069-0659-4368-aad2-07223d763f2e · outbound

This paper cites DVGT: Driving Visual Geometry Transformer.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction DVGT: Driving Visual Geometry Transformer

Reference 55

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Observation 57517ae8-fbdc-42cc-bf56-03dbad4f51d7 · outbound

This paper cites Pop-3d: Open-vocabulary 3d occupancy prediction from images,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Pop-3d: Open-vocabulary 3d occupancy prediction from images,

Reference 56

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Observation f5f680eb-b7ef-4b72-bcb3-b451a4d22579 · outbound

This paper cites Veon: V ocabulary-enhanced occupancy prediction,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Veon: V ocabulary-enhanced occupancy prediction,

Reference 57

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Observation 02d82072-4a17-4e31-b0bb-5c0009e26a10 · outbound

This paper cites Language driven occupancy prediction,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Language driven occupancy prediction,

Reference 58

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Observation 623ed1bf-43c3-4df2-87b1-f1b53d2b05e2 · outbound

This paper cites Panoocc: Unified occupancy representation for camera-based 3d panoptic segmentation,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Panoocc: Unified occupancy representation for camera-based 3d panoptic segmentation,

Reference 59

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source=pdf_text observed=2026-07-11T14:25:21.264423Z digest=sha256:eea7d546c1a2a589c74961601e06d453485a51c3a4e73f2221e8ab20ab142c93

Observation 3cd1a2ed-4a83-400b-ab76-07ac66c1e5a7 · outbound

This paper cites Geocc: Geometrically enhanced 3d occupancy network with implicit-explicit depth fusion and contextual self-supervision,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Geocc: Geometrically enhanced 3d occupancy network with implicit-explicit depth fusion and contextual self-supervision,

Reference 60

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Observation 29790ecc-b5e6-456b-b59d-d55cf0fad340 · outbound

This paper cites Selfocc: Self- supervised vision-based 3d occupancy prediction,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Selfocc: Self- supervised vision-based 3d occupancy prediction,

Reference 61

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source=pdf_text observed=2026-07-11T14:25:21.264423Z digest=sha256:6e315d3b6c3b6810660b4008bfd3393e66c23f99861b4091b1f73e7b7aad91ce

Observation c9be86af-b12b-47fe-bacc-e80c6296c495 · outbound

This paper cites Gaussianocc: Fully self-supervised and efficient 3d occupancy estimation with gaussian splatting,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Gaussianocc: Fully self-supervised and efficient 3d occupancy estimation with gaussian splatting,

Reference 62

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source=pdf_text observed=2026-07-11T14:25:21.264423Z digest=sha256:8a2fc6b0cc8731e8bc1bf2df29f9c061303191d564de8686078fe77fc49bc2dc

Observation d5dbeff6-2082-436b-9a7d-32371637bbb5 · outbound

This paper cites Gausstr: Foundation model-aligned gaussian transformer for self-supervised 3d spatial understanding,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Gausstr: Foundation model-aligned gaussian transformer for self-supervised 3d spatial understanding,

Reference 63

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source=pdf_text observed=2026-07-11T14:25:21.264423Z digest=sha256:459a14849df028affdb0f0991ac0f23ab6e22d9a69f8f5feee2699c86b1d0717

Observation 87aa57ba-0a60-4329-b30d-c4620cf49d43 · outbound

This paper cites Lidar-camera continuous fusion in voxelized grid for semantic scene completion,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Lidar-camera continuous fusion in voxelized grid for semantic scene completion,

Reference 64

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Observation de8ba51a-60ee-4a75-8981-be37421a897b · outbound

This paper cites Self-supervised sparse sensor fusion for long range per- ception,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Self-supervised sparse sensor fusion for long range per- ception,

Reference 65

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source=pdf_text observed=2026-07-11T14:25:21.264423Z digest=sha256:ea93ea58b6ace05f996fd4b2b6e825b54953e76a2a3a5175a0342e9a7460445f

Observation e299ae53-ca79-44f1-8ef9-d763d8a428e2 · outbound

This paper cites Riocc: Efficient cross-modal fusion transformer with collaborative feature refinement for 3d semantic occupancy prediction,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Riocc: Efficient cross-modal fusion transformer with collaborative feature refinement for 3d semantic occupancy prediction,

Reference 66

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source=pdf_text observed=2026-07-11T14:25:21.264423Z digest=sha256:d265643fcfe0c249ebc2f51150f489e52fc3818adbe91e433df1975ffd3c2a3b

Observation 22ce5c5d-57d2-48d4-aa11-d88df385f4a3 · outbound

This paper cites Sgformer: Satellite- ground fusion for 3d semantic scene completion,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Sgformer: Satellite- ground fusion for 3d semantic scene completion,

Reference 67

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Observation c0b823e3-4feb-4f75-952c-313ce8b8b691 · outbound

This paper cites OmniNWM: Omniscient Driving Navigation World Models.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction OmniNWM: Omniscient Driving Navigation World Models

Reference 68

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Observation f648a7a4-ce1b-400c-b99c-7a38b58766e7 · outbound

This paper cites Oc- cgen: Generative multi-modal 3d occupancy prediction for autonomous driving,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Oc- cgen: Generative multi-modal 3d occupancy prediction for autonomous driving,

Reference 69

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Observation d48bb5ca-20a4-4aab-ac7b-96fb05d0d49f · outbound

This paper cites Occworld: Learning a 3d occupancy world model for autonomous driving,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Occworld: Learning a 3d occupancy world model for autonomous driving,

Reference 70

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Observation 432179f4-b584-4eb0-985b-e32209ec5c65 · outbound

This paper cites Scpnet: Semantic scene completion on point cloud,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Scpnet: Semantic scene completion on point cloud,

Reference 71

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Observation 63c5f99c-8b68-46a6-8aed-6a9fe764d9d4 · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction V oxformer: Sparse voxel transformer for camera- based 3d semantic scene completion,

Reference 72

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Observation 4ef4f540-6435-4fe1-a991-9f919cc25a32 · outbound

This paper cites UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering

Reference 73

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Observation 8a323a59-5681-4a77-a294-97207c05fc47 · outbound

This paper cites Renderocc: Vision-centric 3d occupancy prediction with 2d rendering supervision,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Renderocc: Vision-centric 3d occupancy prediction with 2d rendering supervision,

Reference 74

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Observation ef593d26-d8dd-4bb6-ba70-c43df2f22c4b · outbound

This paper cites OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments

Reference 75

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Observation eaebbd75-f122-499a-b71f-97a4a0b46201 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction 3d gaussian splatting for real-time radiance field rendering

Reference 76

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source=pdf_text observed=2026-07-11T14:25:21.264423Z digest=sha256:4b04b7bb009ce72882840d478b590e474acf3615b040fed57fdbc97a31085202

Observation 7ce7f450-38aa-476a-a440-503c3ae63089 · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction V oxelnet: End-to-end learning for point cloud based 3d object detection,

Reference 77

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Observation f8815b70-167e-417a-9f4c-173d1141a068 · outbound

This paper cites Semantic scene completion from a single depth image,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Semantic scene completion from a single depth image,

Reference 78

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source=pdf_text observed=2026-07-11T14:25:21.264423Z digest=sha256:dad4d25e5917b591383002865c606f648200158c36c37f2f672631f9e4cf25f0

Observation 29ab9b63-13ac-46b5-bded-0a7b2c96d276 · outbound

This paper cites Semantic scene completion using local deep implicit functions on lidar data,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Semantic scene completion using local deep implicit functions on lidar data,

Reference 79

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Observation 9c5dd09b-eaa2-467c-a062-8563a1344d1a · outbound

This paper cites Deep residual learning for image recognition,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Deep residual learning for image recognition,

Reference 80

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Observation 6ec59f0a-60fb-468e-b999-327cf1d49b9b · outbound

This paper cites Feature pyramid networks for object detection,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Feature pyramid networks for object detection,

Reference 81

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Observation 09b1c40c-d05f-4ef4-bc87-873c551dfa40 · outbound

This paper cites Deformable DETR: Deformable transformers for end-to-end object detection,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Deformable DETR: Deformable transformers for end-to-end object detection,

Reference 82

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source=pdf_text observed=2026-07-11T14:25:21.264423Z digest=sha256:444d633d1eab475e8e3a7ccef99d4992b534a4332a09c3ab7e49cf2330c4b6b6

Observation 8456e1e1-76a0-4b0e-aae4-2a9af20feb74 · outbound

This paper cites Metabev: Solving sensor failures for 3d detection and map segmentation,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Metabev: Solving sensor failures for 3d detection and map segmentation,

Reference 83

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Observation 47f94dd8-a12b-4a53-8951-ce0068c27eb0 · outbound

This paper cites BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigs.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigs

Reference 84

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source=pdf_text observed=2026-07-11T14:25:21.264423Z digest=sha256:3ea9512f85e4dacdc035990d3f67b44e8f0c8e6958228a3ba0766a07b26b3f63

Observation 20970c24-27eb-4c36-a8cc-212c343dd517 · outbound

This paper cites Cross-view transformers for real-time map-view semantic segmentation,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Cross-view transformers for real-time map-view semantic segmentation,

Reference 85

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source=pdf_text observed=2026-07-11T14:25:21.264423Z digest=sha256:32f24faacbddd044e4b207b6f368e1bbeec99f6fd29ca8e9b1e8c205544b2cf3

Observation 6411e868-3b41-4977-a64c-460ace60827c · outbound

This paper cites Predicting semantic map representations from images using pyramid occupancy networks,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Predicting semantic map representations from images using pyramid occupancy networks,

Reference 86

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Observation 1c2d0a4e-7395-4584-9a3b-59e8a940c2d9 · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Fiery: future instance prediction in bird’s- eye view from surround monocular cameras,

Reference 87

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Observation 210365a3-e105-434e-b4db-d2e47a881031 · outbound

This paper cites Fully sparse 3d object detection,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Fully sparse 3d object detection,

Reference 88

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Observation 60a094e3-d045-4376-a13f-29d833c240b8 · outbound

This paper cites Super sparse 3d object detection,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Super sparse 3d object detection,

Reference 89

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source=pdf_text observed=2026-07-11T14:25:21.264423Z digest=sha256:3845c94b299fde7877b72a983ead16a32bc877b5d2f64c332586cfcb6b963f4e

Observation 9d9214e5-1f24-43d1-997e-e503a5457de3 · outbound

This paper cites Fsd v2: Improving fully sparse 3d object detection with virtual voxels,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Fsd v2: Improving fully sparse 3d object detection with virtual voxels,

Reference 90

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Observation 72a604bd-1eb6-4336-b8a8-f285308d9d22 · outbound

This paper cites Cylindrical and asymmetrical 3d convolution networks for lidar segmentation,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Cylindrical and asymmetrical 3d convolution networks for lidar segmentation,

Reference 91

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Observation 55314d62-1777-4359-82a1-9fd24c0a3c0b · outbound

This paper cites Masked-attention mask transformer for universal image segmenta- tion,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Masked-attention mask transformer for universal image segmenta- tion,

Reference 92

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Observation efcdea88-7841-4ffe-967c-edf82e580f59 · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Deformable detr: Deformable transformers for end-to-end object detection,

Reference 93

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Observation 0b912cfc-1941-4bd3-883c-178d6ba9fb5d · outbound

This paper cites U-net: Convolutional net- works for biomedical image segmentation,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction U-net: Convolutional net- works for biomedical image segmentation,

Reference 94

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Observation 8cddd96a-1f58-48d8-b7c5-462f177bfeac · outbound

This paper cites Lidar r-cnn: An efficient and universal 3d object detector,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Lidar r-cnn: An efficient and universal 3d object detector,

Reference 95

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source=pdf_text observed=2026-07-11T14:25:21.264423Z digest=sha256:bb0e311f62913cc137594ef26ff08fa02552830b01add996383393724376a713

Observation d2393926-8e45-48dc-9e63-1a6edfb199b5 · outbound

This paper cites Lmscnet: Lightweight multiscale 3d semantic completion,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Lmscnet: Lightweight multiscale 3d semantic completion,

Reference 96

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Observation 9b9ceadf-15f1-48b4-a924-3cb8bcf58309 · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction 3d sketch-aware semantic scene completion via semi-supervised structure prior,

Reference 97

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Observation ec50653d-e605-4d19-a8f4-e0c253c61d29 · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Anisotropic convolutional networks for 3d semantic scene completion,

Reference 98

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Observation 99527943-f1e5-49b5-bca3-e29364bfed25 · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion,

Reference 99

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Observation 3d0d4e30-388c-4468-93b3-57ada69402f0 · outbound

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

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Ndc- scene: Boost monocular 3d semantic scene completion in normalized device coordinates space,

Reference 100

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Observation d7212622-155b-4a1e-8486-5c029bd3c08f · outbound

This paper cites Symphonize 3d semantic scene completion with contextual instance queries,.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction Symphonize 3d semantic scene completion with contextual instance queries,

Reference 101

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