Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding | Paper Citation Record

Observation d862c8fb-0622-4778-bee2-d0b2969728d3 · outbound

This paper cites Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:22.010410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a5c8f2f-b8cc-417e-b8bc-0075048536cb · outbound

This paper cites Matterport3d: Learning from rgb-d data in indoor environments.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Matterport3d: Learning from rgb-d data in indoor environments

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:36.605437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 817ea282-ef21-49ab-90b6-975c251dccff · outbound

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

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Clip2scene: Towards label-efficient 3d scene understanding by clip

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:22.157362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 221a3ce0-75cf-48e6-acc7-849d3156425a · outbound

This paper cites Yolo-world: Real-time open-vocabulary object detection.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Yolo-world: Real-time open-vocabulary object detection

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:36.427717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aade28f8-34cc-4f69-8720-4b9de7222f8d · outbound

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

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding 4d spatio-temporal convnets: Minkowski convolutional neu- ral networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:36.252491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e325d129-4696-43da-a644-0f31ed7de852 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:36.057704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c98312e-0c7c-4ea7-ab69-f040c085cf36 · outbound

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

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Pla: Language-driven open- vocabulary 3d scene understanding

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:35.820884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d1c40434-2502-4382-a8c3-10198e2ea9ce · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding A density-based algorithm for discovering clusters in large spatial databases with noise

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:35.597980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation da4eb8b9-77c3-4f66-a972-72f2d89e7aac · outbound

This paper cites Efficient graph-based image segmentation.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Efficient graph-based image segmentation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:35.336113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1f8aed7b-1828-4be3-91f1-360252aefda2 · outbound

This paper cites Scal- ing open-vocabulary image segmentation with image-level labels.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Scal- ing open-vocabulary image segmentation with image-level labels

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:35.102671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 85ed6f15-1795-40cc-a14d-7ed5193835f3 · outbound

This paper cites Sam-guided graph cut for 3d instance segmentation.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Sam-guided graph cut for 3d instance segmentation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:34.842643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c56b82a9-481e-4cc5-b0d2-88f168114bda · outbound

This paper cites spacy 2: Natural lan- guage understanding with bloom embeddings, convolutional neural networks and incremental parsing.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding spacy 2: Natural lan- guage understanding with bloom embeddings, convolutional neural networks and incremental parsing

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:34.620721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e2ae8e89-bc58-444b-9583-e40b705df8d1 · outbound

This paper cites Open-Set Image Tagging with Multi-Grained Text Supervision.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Open-Set Image Tagging with Multi-Grained Text Supervision

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:04:27.162531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c22408fb-30cc-454f-ba23-2975b517077a · outbound

This paper cites Odin: A single model for 2d and 3d segmentation.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Odin: A single model for 2d and 3d segmentation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:34.404545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e9ab477e-a527-40b0-9369-b7991f928d63 · outbound

This paper cites Con- ceptfusion: Open-set multimodal 3d mapping.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Con- ceptfusion: Open-set multimodal 3d mapping

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:34.160072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 02e28432-4ef9-4e2a-9420-90ca782c20ab · outbound

This paper cites Scaling up visual and vision-language representa- tion learning with noisy text supervision.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Scaling up visual and vision-language representa- tion learning with noisy text supervision

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:33.833358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0aedb603-85e6-4dfb-8e34-285348d27db4 · outbound

This paper cites Pointgroup: Dual-set point group- ing for 3d instance segmentation.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Pointgroup: Dual-set point group- ing for 3d instance segmentation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:33.536514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c1f5d4af-1562-41c8-9058-30f798b0e6a8 · outbound

This paper cites Open-vocabulary 3d semantic segmentation with foundation models.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Open-vocabulary 3d semantic segmentation with foundation models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:33.256176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 481c95b7-e3f8-4e1a-8427-60d192cda968 · outbound

This paper cites Segment any- thing.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Segment any- thing

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:32.977129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d55d3f15-4868-472e-90ca-007d5cf55a39 · outbound

This paper cites Segment Any 3D Object with Language.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Segment Any 3D Object with Language

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:23.521003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87f496db-a38c-4b33-be66-2d9be5002250 · outbound

This paper cites Language-driven semantic seg- mentation.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Language-driven semantic seg- mentation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:32.711837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c277b8fd-9aff-4d86-a887-ac667d61faeb · outbound

This paper cites Blip: Bootstrapping language-image pre-training for uni- fied vision-language understanding and generation.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Blip: Bootstrapping language-image pre-training for uni- fied vision-language understanding and generation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:32.445243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ed9a6c5e-9f19-464d-81d0-5ecd83f37dae · outbound

This paper cites Grounded language-image pre-training.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Grounded language-image pre-training

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:32.237398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2d752310-2e3d-42d9-9dcc-5ae62c6f966b · outbound

This paper cites Decap: Decoding clip latents for zero-shot captioning via text-only 2 training.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Decap: Decoding clip latents for zero-shot captioning via text-only 2 training

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:32.035731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ef56cedc-8d59-4cab-be92-20c9776cffaf · outbound

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

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Open-vocabulary semantic segmentation with mask-adapted clip

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:23.977911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49a463a6-d0dd-44dc-a926-ee60422fd869 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:24.039336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bef844e-217b-4ee7-89b5-d1e83e7972a0 · outbound

This paper cites Ovir-3d: Open-vocabulary 3d in- stance retrieval without training on 3d data.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Ovir-3d: Open-vocabulary 3d in- stance retrieval without training on 3d data

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:31.758417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 78e18653-9ae1-4f41-ba5d-378c4fac1c9e · outbound

This paper cites An end-to- end transformer model for 3d object detection.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding An end-to- end transformer model for 3d object detection

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:24.177736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ded09a3-37f7-4e31-a942-01732b4775f8 · outbound

This paper cites Isbnet: a 3d point cloud instance segmentation network with instance- aware sampling and box-aware dynamic convolution.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Isbnet: a 3d point cloud instance segmentation network with instance- aware sampling and box-aware dynamic convolution

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:31.504554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff8a22de-058e-4002-811f-b1881c0ff054 · outbound

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

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Open3dis: Open-vocabulary 3d instance segmentation with 2d mask guidance

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:31.288532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6ea5db78-d815-4c22-a769-3b417885b848 · outbound

This paper cites V oxel cloud connectivity segmentation- supervoxels for point clouds.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding V oxel cloud connectivity segmentation- supervoxels for point clouds

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:31.020530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6d8875fd-fabc-4f8b-b423-6a146be19250 · outbound

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

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Openscene: 3d scene understanding with open vocabularies

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:30.783522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 41261cd9-0f92-471a-be01-3c8e93769ee4 · outbound

This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:24.595455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8a9ab7c-b2b5-4246-b961-4ba0d4178294 · outbound

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

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:30.530755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1245972d-d8c0-4a64-99c6-c2ec725bae19 · outbound

This paper cites Pointnext: Revisiting pointnet++ with improved training and scaling strategies.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Pointnext: Revisiting pointnet++ with improved training and scaling strategies

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:30.233921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e783c82f-3083-4223-ae58-2b2dabd020fd · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Learn- ing transferable visual models from natural language super- vision

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:30.018565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ce3af4e4-8fb1-45ef-843c-4c957316bc50 · outbound

This paper cites Language- grounded indoor 3d semantic segmentation in the wild.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Language- grounded indoor 3d semantic segmentation in the wild

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:29.777998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 87199b5b-123c-4058-af14-2459ac33dc25 · outbound

This paper cites Dense multimodal alignment for open-vocabulary 3d scene understanding.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Dense multimodal alignment for open-vocabulary 3d scene understanding

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:29.587167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation caba26fd-c95e-4145-a951-3415bfd46ee5 · outbound

This paper cites Mask3d: Mask trans- former for 3d semantic instance segmentation.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Mask3d: Mask trans- former for 3d semantic instance segmentation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:29.417674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 144baabf-9704-493e-af1d-e4065f70590c · outbound

This paper cites Pointr- cnn: 3d object proposal generation and detection from point cloud.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Pointr- cnn: 3d object proposal generation and detection from point cloud

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:25.277779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1fc3a7d-c0f7-4299-946c-047ecd3e4457 · outbound

This paper cites The Replica Dataset: A Digital Replica of Indoor Spaces.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding The Replica Dataset: A Digital Replica of Indoor Spaces

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:25.352234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29eb27ca-f877-4a1e-afe7-a95ac6682dbb · outbound

This paper cites Open- mask3d: open-vocabulary 3d instance segmentation.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Open- mask3d: open-vocabulary 3d instance segmentation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:29.244663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 06d30a65-8d4b-412b-b94d-c319ffb436ab · outbound

This paper cites Ofa: Unifying architectures, tasks, and modalities through a simple sequence-to-sequence learning framework.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Ofa: Unifying architectures, tasks, and modalities through a simple sequence-to-sequence learning framework

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:29.152314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6e55810b-e7e8-4d45-a634-fb19c99fbd84 · outbound

This paper cites Open vocabulary 3d scene under- standing via geometry guided self-distillation.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Open vocabulary 3d scene under- standing via geometry guided self-distillation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:29.046440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c2c0fcc5-b4fe-4ca7-943f-3b736b1ba0d6 · outbound

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

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Detr3d: 3d object detection from multi-view images via 3d-to-2d queries

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:28.937754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f98a4414-c302-4e2e-bc9c-b6af28403af1 · outbound

This paper cites Uni3detr: Unified 3d detection trans- former.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Uni3detr: Unified 3d detection trans- former

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:28.837411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d53afc04-3ee3-4b33-aaa1-191d221b7f27 · outbound

This paper cites Point transformer v3: Simpler faster stronger.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Point transformer v3: Simpler faster stronger

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:28.715963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b13d381d-c0aa-4ba0-933c-e9943c23fb9b · outbound

This paper cites Open-vocabulary panop- 3 tic segmentation with text-to-image diffusion models.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Open-vocabulary panop- 3 tic segmentation with text-to-image diffusion models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:28.633199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fc4587d7-fd21-485f-be34-8dd8e54e0d60 · outbound

This paper cites Paconv: Position adaptive convolution with dy- namic kernel assembling on point clouds.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Paconv: Position adaptive convolution with dy- namic kernel assembling on point clouds

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:28.543457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a1465d24-4171-442b-b92f-ff475a070587 · outbound

This paper cites SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:25.946778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25cb3969-22a2-40b6-ad59-feb63a1b2f00 · outbound

This paper cites A unified framework for 3d scene understanding.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding A unified framework for 3d scene understanding

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:28.453467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1bad85a9-7d29-4045-b462-e393dfbb24f5 · outbound

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

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Regionplc: Regional point-language contrastive learning for open-world 3d scene understanding

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:28.365669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 86e4464a-03c7-4444-9c8e-6d82710e2d65 · outbound

This paper cites Sa3dip: Segment any 3d instance with potential 3d priors.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Sa3dip: Segment any 3d instance with potential 3d priors

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:28.252504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 57d72f2d-c14b-4814-b926-729e614e05bd · outbound

This paper cites SAM3D: Segment Anything in 3D Scenes.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding SAM3D: Segment Anything in 3D Scenes

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:26.211071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c503099-ae0c-4611-8aa9-392a2abfb99c · outbound

This paper cites Point deformable network with enhanced nor- mal embedding for point cloud analysis.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Point deformable network with enhanced nor- mal embedding for point cloud analysis

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:28.148885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a4edc5ae-8f26-490b-8637-de3c652bf272 · outbound

This paper cites Sai3d: Segment any instance in 3d scenes.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Sai3d: Segment any instance in 3d scenes

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:28.062390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 87f8f197-2039-4b13-a046-9793e04d82f7 · outbound

This paper cites Convolutions die hard: Open-vocabulary seg- mentation with single frozen convolutional clip.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Convolutions die hard: Open-vocabulary seg- mentation with single frozen convolutional clip

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:27.968280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d9e1f414-50e4-40cc-afdc-03647a7ff35b · outbound

This paper cites Recognize anything: A strong image tagging model.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Recognize anything: A strong image tagging model

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:27.875800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4399e95b-2d94-4dc2-a7c2-d401a625b62f · outbound

This paper cites Point transformer.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Point transformer

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:27.789413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 87774ca9-b572-4089-94c6-198c6dd3e27e · outbound

This paper cites Se- ssd: Self-ensembling single-stage object detector from point cloud.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Se- ssd: Self-ensembling single-stage object detector from point cloud

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:27.655081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9dd8fe42-6988-4e8c-aafe-49a356da40d7 · outbound

This paper cites Detecting twenty-thousand classes using image-level supervision.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Detecting twenty-thousand classes using image-level supervision

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:27.511718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0eefbddc-203e-45da-a043-65961e46fda9 · outbound

This paper cites Open-vocabulary 3d semantic segmentation with text-to-image diffusion models.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding Open-vocabulary 3d semantic segmentation with text-to-image diffusion models

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:27.346606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers