OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds | Paper Citation Record

Observation f377c321-3ae0-4418-a1d5-db33f4ceabce · outbound

This paper cites Urban digital twins for smart cities and citizens: The case study of herrenberg, germany,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Urban digital twins for smart cities and citizens: The case study of herrenberg, germany,

Reference 1

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This paper cites Lidar boosts 3d ecological observations and modelings: A review and perspective,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Lidar boosts 3d ecological observations and modelings: A review and perspective,

Reference 2

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This paper cites Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities,

Reference 3

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This paper cites Point cloud modeling as a bridge between landscape design and planning,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Point cloud modeling as a bridge between landscape design and planning,

Reference 4

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Observation bfaad2a8-c977-493c-90b9-deb831775e06 · outbound

This paper cites Lidar—a technology to assist with smart cities and climate change resilience: A case study in an urban metropolis,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Lidar—a technology to assist with smart cities and climate change resilience: A case study in an urban metropolis,

Reference 5

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Observation 5bfcd06f-a025-4c32-b42d-f56c9f87cde9 · outbound

This paper cites Deep learning for lidar point clouds in autonomous driving: A review,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Deep learning for lidar point clouds in autonomous driving: A review,

Reference 6

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Observation 9afd66ee-bf6a-4d42-964c-ebafb1737168 · outbound

This paper cites Deep learning for 3d point clouds: A survey,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Deep learning for 3d point clouds: A survey,

Reference 7

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Observation f6707819-f226-42af-8ef2-f389f956c914 · outbound

This paper cites Sqn: Weakly-supervised semantic segmentation of large- scale 3d point clouds,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Sqn: Weakly-supervised semantic segmentation of large- scale 3d point clouds,

Reference 8

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Observation 003c7b9a-e0aa-47d8-aa7b-b9c94570699e · outbound

This paper cites 3d semantic segmen- tation with submanifold sparse convolutional networks,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds 3d semantic segmen- tation with submanifold sparse convolutional networks,

Reference 9

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Observation d74b4663-f723-453a-8614-30672f71408c · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 10

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Observation 9f928a11-eef9-4177-9329-e1e15f92b11f · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 11

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Observation 917dfad0-4f3f-459f-8095-77047d2562a2 · outbound

This paper cites Point transformer v3: Simpler faster stronger,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Point transformer v3: Simpler faster stronger,

Reference 12

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Observation 2ab177d4-34b3-4a88-b23b-3df01d322c18 · outbound

This paper cites Randla-net: Efficient semantic segmentation of large- scale point clouds,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Randla-net: Efficient semantic segmentation of large- scale point clouds,

Reference 13

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Observation 287922ab-b482-45b8-aacb-2770a8480897 · outbound

This paper cites Language-driven Semantic Segmentation.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Language-driven Semantic Segmentation

Reference 14

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Observation 9d6f6154-1ce4-425f-9aa3-06d5772153bc · outbound

This paper cites Scaling open-vocabulary image segmentation with image-level labels,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Scaling open-vocabulary image segmentation with image-level labels,

Reference 15

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Observation 31949e6b-9199-40fc-a4c7-265d336b50b7 · outbound

This paper cites Maskclip: Masked self-distillation advances contrastive language-image pretraining,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Maskclip: Masked self-distillation advances contrastive language-image pretraining,

Reference 16

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Observation 968b0aa8-c0d3-4d50-ae38-300928565a25 · outbound

This paper cites Open-vocabulary semantic segmentation with mask-adapted clip,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Open-vocabulary semantic segmentation with mask-adapted clip,

Reference 17

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Observation d99176da-0056-4a08-987f-cf98a28635ea · outbound

This paper cites Open- vocabulary panoptic segmentation with text-to-image diffusion models,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Open- vocabulary panoptic segmentation with text-to-image diffusion models,

Reference 18

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Observation b5fdfeb0-817f-4d10-a5b9-4de9b91b8a03 · outbound

This paper cites Openscene: 3d scene understanding with open vocabularies,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Openscene: 3d scene understanding with open vocabularies,

Reference 19

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Observation b2c6eea4-c752-4c59-8828-127cfde666cb · outbound

This paper cites Regionplc: Regional point-language contrastive learning for open-world 3d scene understand- ing,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Regionplc: Regional point-language contrastive learning for open-world 3d scene understand- ing,

Reference 20

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Observation f81c5d8a-feb1-4328-b07a-93545fa36aaf · outbound

This paper cites Pla: Language- driven open-vocabulary 3d scene understanding,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Pla: Language- driven open-vocabulary 3d scene understanding,

Reference 21

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Observation 03f8566f-2e43-4e99-a5e2-50f90fc840ef · outbound

This paper cites Towards semantic segmentation of urban-scale 3d point clouds: A dataset, benchmarks and challenges,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Towards semantic segmentation of urban-scale 3d point clouds: A dataset, benchmarks and challenges,

Reference 22

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Observation 2474f21d-150d-4656-892c-2e876f006a90 · outbound

This paper cites Sum: A benchmark dataset of semantic urban meshes,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Sum: A benchmark dataset of semantic urban meshes,

Reference 23

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Observation 5d6dc54c-5ec2-4b1f-8134-da2c1c8cbf58 · outbound

This paper cites The hessigheim 3d (h3d) benchmark on semantic segmentation of high-resolution 3d point clouds and textured meshes from uav lidar and multi-view-stereo,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds The hessigheim 3d (h3d) benchmark on semantic segmentation of high-resolution 3d point clouds and textured meshes from uav lidar and multi-view-stereo,

Reference 24

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Observation 1725bac6-26bb-4c97-9970-1e4f7c73ca29 · outbound

This paper cites Toronto- 3d: A large-scale mobile lidar dataset for semantic segmentation of urban roadways,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Toronto- 3d: A large-scale mobile lidar dataset for semantic segmentation of urban roadways,

Reference 25

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Observation 855bc64b-67e6-45dc-8e9b-309e3353fb16 · outbound

This paper cites OpenMask3D: Open-Vocabulary 3D Instance Segmentation.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds OpenMask3D: Open-Vocabulary 3D Instance Segmentation

Reference 26

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This paper cites Open3dis: Open-vocabulary 3d instance segmentation with 2d mask guidance,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Open3dis: Open-vocabulary 3d instance segmentation with 2d mask guidance,

Reference 27

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Observation f0bc0f0f-540d-47f5-8481-b730e0b1e0e6 · outbound

This paper cites Mask3D: Mask Transformer for 3D Semantic Instance Segmentation.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Mask3D: Mask Transformer for 3D Semantic Instance Segmentation

Reference 28

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Observation ea1e491e-d283-4ee5-88aa-67b2e6e9703e · outbound

This paper cites Kpconv: Flexible and deformable convolution for point clouds,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Kpconv: Flexible and deformable convolution for point clouds,

Reference 29

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Observation 16256309-c979-49a5-b8da-7c1ac239f3fc · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds 4d spatio-temporal convnets: Minkowski convolutional neural networks,

Reference 30

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Observation 7cd2d22a-818e-4723-b5ad-4ff384860c62 · outbound

This paper cites Point transformer,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Point transformer,

Reference 31

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Observation 6e8d11f0-853d-4ef1-8a72-3439ab3f3f3a · outbound

This paper cites Point transformer v2: Grouped vector attention and partition-based pooling,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Point transformer v2: Grouped vector attention and partition-based pooling,

Reference 32

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Observation 00533c03-903f-4ad1-a283-36e43e2bdcc5 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Learning transferable visual models from natural language supervision,

Reference 33

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Observation cbb07d73-62e2-47f8-92c5-06a7165a150e · outbound

This paper cites Flamingo: a visual language model for few-shot learning,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Flamingo: a visual language model for few-shot learning,

Reference 34

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Observation 400cae78-245f-471a-a986-0c46836b76c4 · outbound

This paper cites Visual instruction tuning,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Visual instruction tuning,

Reference 35

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Observation 993cf14a-3122-4535-a0ef-bef9d035fc51 · outbound

This paper cites Segment anything,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Segment anything,

Reference 36

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Observation 6dd69d80-f0f5-4c04-9632-95079a404b63 · outbound

This paper cites Pointclip: Point cloud understanding by clip,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Pointclip: Point cloud understanding by clip,

Reference 37

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Observation 28a3fd1e-41f1-46e6-a002-47ac0c8616c5 · outbound

This paper cites Pointclip v2: Prompting clip and gpt for powerful 3d open-world learning,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Pointclip v2: Prompting clip and gpt for powerful 3d open-world learning,

Reference 38

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Observation 7ff1a54e-588b-431e-a2d5-b75e1ec362d2 · outbound

This paper cites Clip2point: Transfer clip to point cloud classification with 15 image-depth pre-training,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Clip2point: Transfer clip to point cloud classification with 15 image-depth pre-training,

Reference 39

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Observation f6d483b9-7a78-41e1-ab98-0814c713dddd · outbound

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

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Clip2scene: Towards label-efficient 3d scene understanding by clip,

Reference 40

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Observation 7a1a7e8d-70e7-485d-83c5-80810e7d4fc0 · outbound

This paper cites Opengraph: Open-vocabulary hierarchical 3d graph representation in large-scale outdoor environments,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Opengraph: Open-vocabulary hierarchical 3d graph representation in large-scale outdoor environments,

Reference 41

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Observation d24b16e0-c7fd-4347-9e13-34daea399d26 · outbound

This paper cites Openins3d: Snap and lookup for 3d open-vocabulary instance segmen- tation,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Openins3d: Snap and lookup for 3d open-vocabulary instance segmen- tation,

Reference 42

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Observation b1d1f745-2c2e-49b2-8d23-8065ae95020d · outbound

This paper cites Open-Vocabulary Semantic Part Segmentation of 3D Human.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Open-Vocabulary Semantic Part Segmentation of 3D Human

Reference 43

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Observation 643e8fae-5c9b-411d-abe0-10049e15b0d3 · outbound

This paper cites Large-scale point cloud semantic segmentation with superpoint graphs,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Large-scale point cloud semantic segmentation with superpoint graphs,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:41.867691Z

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Observation ccb74700-6b0a-4445-b916-8694fddc4e33 · outbound

This paper cites Large-scale point cloud semantic segmentation via local perception and global descriptor vector,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Large-scale point cloud semantic segmentation via local perception and global descriptor vector,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:41.841886Z

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Observation 7de84c47-1059-4d4e-9bd2-9f2ae9502ac5 · outbound

This paper cites Pointnat: large- scale point cloud semantic segmentation via neighbor aggregation with transformer,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Pointnat: large- scale point cloud semantic segmentation via neighbor aggregation with transformer,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:41.818836Z

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Observation b893ac62-e9fe-4832-83b8-9487e684c2d1 · outbound

This paper cites Eyenet++: A multi-scale and multi-density approach for outdoor 3d semantic segmentation inspired by the human visual field,.

OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds Eyenet++: A multi-scale and multi-density approach for outdoor 3d semantic segmentation inspired by the human visual field,

Reference 47

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