Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:36.319306Z
Paper Citation Record · LEDGER
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation
As of 9 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2505.18956.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T21:44:10.494363Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
59 of 59 outbound references displayed
- verified exact6
- verified fuzzy34
- unresolved16
- parse uncertain0
- malformed identifier0
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 120a9a79-7947-43a5-94c6-1e26c7f5c338 · outbound
This paper cites write newline.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation write newline
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:32.129448Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3452fb0d-ed05-4928-a61c-4e34f65255d4 · outbound
This paper cites Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:32.185244Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 201a8dd2-4de0-47c1-909c-bef576485f84 · outbound
This paper cites 4d-former: Multimodal 4d panoptic segmentation.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation 4d-former: Multimodal 4d panoptic segmentation
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:43.575045Z
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 b4d603c3-152e-4de6-9dfb-f636fc44c70e · outbound
This paper cites Transfusion: Robust lidar-camera fusion for 3d object detection with transformers.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Transfusion: Robust lidar-camera fusion for 3d object detection with transformers
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:43.397472Z
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 9668f4d5-89b7-44c6-b2f2-55e913a5e5f1 · outbound
This paper cites SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:43.216307Z
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 8056b300-669c-4eaf-ad9d-cc1c4c018d52 · outbound
This paper cites Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset
Reference 6
- Resolution
- verified exact
- doi, observed 2026-08-07T14:27:36.874355Z
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 56861a18-aa73-4d97-969f-da7982263aff · outbound
This paper cites H., Vora, S., Liong, V.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation H., Vora, S., Liong, V
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:43.005343Z
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 319b73c3-3133-49b5-96c1-049456fbe661 · outbound
This paper cites Pasco: Urban 3d panoptic scene completion with uncertainty awareness.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Pasco: Urban 3d panoptic scene completion with uncertainty awareness
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:42.827387Z
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 7a119bf1-7430-4ec9-8e7a-83771cbd7fed · outbound
This paper cites Futr3d: A unified sensor fusion framework for 3d detection.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Futr3d: A unified sensor fusion framework for 3d detection
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:42.688763Z
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 6a6ae2f9-f0f1-4285-a7ad-87d45b952ae1 · outbound
This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation A density-based algorithm for discovering clusters in large spatial databases with noise
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:42.498833Z
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 e6dbd4aa-920d-4391-a08a-5965fe063848 · outbound
This paper cites K., Mohan, R., Hurtado, J.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation K., Mohan, R., Hurtado, J
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:42.383497Z
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 2d2fc2c0-3379-4c4d-9e45-9002eb2d41b5 · outbound
This paper cites Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:42.126850Z
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 feb238d8-0401-4aa1-8a89-773edd8c8528 · outbound
This paper cites MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:32.853914Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 584f6f9b-9bbb-410d-9f7e-55a237f3ef59 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Adam: A Method for Stochastic Optimization
Reference 15
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3912709-4df4-461c-84ca-deb5c49ea43a · outbound
This paper cites B., Rother, C., and Doll \'a r, P.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation B., Rother, C., and Doll \'a r, P
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:42.010849Z
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 c8aa1c99-f6b4-442d-ba31-941ac2321172 · outbound
This paper cites Lasermix for semi-supervised lidar semantic segmentation.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Lasermix for semi-supervised lidar semantic segmentation
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:41.725069Z
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 e601df1b-f34d-4b85-9aa0-d34ffdf4465b · outbound
This paper cites T., and Liu, Z.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation T., and Liu, Z
Reference 20
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T14:27:38.043923Z
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 ebee00b4-0bef-4e07-a1f8-39b3f92cae5f · outbound
This paper cites Fuseseg: Lidar point cloud segmentation fusing multi-modal data.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Fuseseg: Lidar point cloud segmentation fusing multi-modal data
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:41.534455Z
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 4ac5f581-8cc9-4e73-9b59-f15f3238d4ea · outbound
This paper cites Cpseg: Cluster-free panoptic segmentation of 3d lidar point clouds.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Cpseg: Cluster-free panoptic segmentation of 3d lidar point clouds
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:41.351563Z
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 ffa81516-69d9-4cad-8e73-10fec0396bc7 · outbound
This paper cites Panoptic-phnet: Towards real-time and high-precision lidar panoptic segmentation via clustering pseudo heatmap.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Panoptic-phnet: Towards real-time and high-precision lidar panoptic segmentation via clustering pseudo heatmap
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:41.139726Z
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 98795e78-7ea6-445f-bedc-6d39e0c14043 · outbound
This paper cites Mseg3d: Multi-modal 3d semantic segmentation for autonomous driving.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Mseg3d: Multi-modal 3d semantic segmentation for autonomous driving
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:41.045798Z
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 a9e30368-d021-43b1-8063-bd84483b37aa · outbound
This paper cites and Zhao, N.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation and Zhao, N
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:40.935063Z
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 3b3f2712-66fb-43a1-a905-1fadd82fed9e · outbound
This paper cites and Chen, D.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation and Chen, D
Reference 26
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T14:27:37.871219Z
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 89328558-31ac-41d5-b1d1-dd9fd0483732 · outbound
This paper cites Center focusing network for real-time lidar panoptic segmentation.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Center focusing network for real-time lidar panoptic segmentation
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:33.808369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27a9e086-7ad5-4418-81f2-7e1e1d0b5218 · outbound
This paper cites W., Meng, T., Caine, B., Ngiam, J., Peng, D., Shen, J., Lu, Y., Zhou, D., Le, Q.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation W., Meng, T., Caine, B., Ngiam, J., Peng, D., Shen, J., Lu, Y., Zhou, D., Le, Q
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:40.796310Z
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 4b12deb7-9d43-4515-8e5d-68193ce384b0 · outbound
This paper cites Fully sparse fusion for 3d object detection.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Fully sparse fusion for 3d object detection
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:40.650533Z
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 ca6a7a50-8033-4deb-a73c-dade0b6c8224 · outbound
This paper cites Bevfusion: A simple and robust lidar-camera fusion framework.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Bevfusion: A simple and robust lidar-camera fusion framework
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:40.526250Z
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 e4fc7e15-c24b-4c75-865f-8b1d33077d9c · outbound
This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Reference 31
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 747f0c7c-a1cf-4df3-895e-ebb76c388f94 · outbound
This paper cites Uniseg: A unified multi-modal lidar segmentation network and the openpcseg codebase.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Uniseg: A unified multi-modal lidar segmentation network and the openpcseg codebase
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:34.191889Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ae42cc7-5b8d-4301-b5e2-760de19db96b · outbound
This paper cites BEV-Guided Multi-Modality Fusion for Driving Perception.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation BEV-Guided Multi-Modality Fusion for Driving Perception
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:40.393526Z
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 f411ad60-da7c-4423-9912-8f66def8f5c8 · outbound
This paper cites Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:34.373513Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6848211-52ed-4158-8b61-55882700faa6 · outbound
This paper cites CenterLPS : Segment Instances by Centers for LiDAR Panoptic Segmentation.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation CenterLPS : Segment Instances by Centers for LiDAR Panoptic Segmentation
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:34.415999Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08aa8390-3a62-4ce7-b88d-1384900a2289 · outbound
This paper cites and Šegvić, S.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation and Šegvić, S
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:34.529192Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a1086ed-1128-4bb6-a4ea-3c9ba435afce · outbound
This paper cites R., Colovic, A., and Kontschieder, P.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation R., Colovic, A., and Kontschieder, P
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:40.255274Z
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 3d08dc5d-5517-48a2-94a0-f19b025f4e6c · outbound
This paper cites M., Ren, Y., and Liu, B.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation M., Ren, Y., and Liu, B
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:40.088543Z
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 2a8b8d8a-c88d-4f28-b37a-8800518ac950 · outbound
This paper cites Efficientlps: Efficient lidar panoptic segmentation.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Efficientlps: Efficient lidar panoptic segmentation
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:39.965067Z
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 7e2f4888-d064-4208-9438-b3f1a1f4f79d · outbound
This paper cites Panoptic-fusionnet: Camera-lidar fusion-based point cloud panoptic segmentation for autonomous driving.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Panoptic-fusionnet: Camera-lidar fusion-based point cloud panoptic segmentation for autonomous driving
Reference 40
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T14:27:37.431060Z
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 e98bcf5e-f268-4dab-b429-093c90887a47 · outbound
This paper cites PUPS: Point Cloud Unified Panoptic Segmentation.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation PUPS: Point Cloud Unified Panoptic Segmentation
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:34.902428Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a0283ca-90d0-405c-97a0-eedf63af1b86 · outbound
This paper cites Joint semantic segmentation using representations of lidar point clouds and camera images.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Joint semantic segmentation using representations of lidar point clouds and camera images
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:39.847330Z
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 060f18c2-f93c-4245-9d3d-5bee88cd4f2e · outbound
This paper cites Polarmix: a general data augmentation technique for lidar point clouds.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Polarmix: a general data augmentation technique for lidar point clouds
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:39.736243Z
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 c2d60190-f601-4950-94b6-504f4e0899d3 · outbound
This paper cites C., Lin, D., and Pang, J.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation C., Lin, D., and Pang, J
Reference 44
- Resolution
- verified exact
- doi, observed 2026-08-07T14:27:36.749386Z
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 17462dda-e0f0-404b-b785-e421a0f0d23d · outbound
This paper cites Sparse cross-scale attention network for efficient lidar panoptic segmentation.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Sparse cross-scale attention network for efficient lidar panoptic segmentation
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:39.597434Z
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 6f76e515-c95f-4acf-b678-a427f1c80052 · outbound
This paper cites Aop-net: All-in-one perception network for lidar-based joint 3d object detection and panoptic segmentation.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Aop-net: All-in-one perception network for lidar-based joint 3d object detection and panoptic segmentation
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:35.213093Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33c6bbb3-b3bc-4776-a127-6069ba16b4b8 · outbound
This paper cites an unresolved cited work.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:27:39.463088Z
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 6834dda2-c5c1-4cb4-9e4e-c3ac72dd95ce · outbound
This paper cites Cross modal transformer: Towards fast and robust 3d object detection.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Cross modal transformer: Towards fast and robust 3d object detection
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:39.305640Z
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 ecf48f6a-9dc0-44b8-9666-cf76ee3809d2 · outbound
This paper cites 2dpass: 2d priors assisted semantic segmentation on lidar point clouds.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation 2dpass: 2d priors assisted semantic segmentation on lidar point clouds
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:39.149855Z
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 3f2fc7ad-bf81-4717-be9d-8de8d480c131 · outbound
This paper cites 4d panoptic scene graph generation.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation 4d panoptic scene graph generation
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:39.067398Z
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 2e0ff17c-19dd-41fe-b446-966e03bf450a · outbound
This paper cites Dqformer: Toward unified lidar panoptic segmentation with decoupled queries for large-scale outdoor scenes.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Dqformer: Toward unified lidar panoptic segmentation with decoupled queries for large-scale outdoor scenes
Reference 51
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T14:27:37.194224Z
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 6aed35df-cac0-40a3-814a-daa9e7b873c0 · outbound
This paper cites Lidarmultinet: towards a unified multi-task network for lidar perception.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Lidarmultinet: towards a unified multi-task network for lidar perception
Reference 52
- Resolution
- verified exact
- doi, observed 2026-08-07T14:27:36.588783Z
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 971a123a-61ac-4324-b318-c2d5e4d13bf1 · outbound
This paper cites Is-fusion: Instance-scene collaborative fusion for multimodal 3d object detection.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Is-fusion: Instance-scene collaborative fusion for multimodal 3d object detection
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:38.955181Z
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 7a1a92dc-04d7-4912-ac20-0af272f40649 · outbound
This paper cites a henb \.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation a henb \
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:38.823837Z
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 dedc04c7-a7ed-4dbe-89a4-ea0b9a3332f7 · outbound
This paper cites SparseLIF: High-Performance Sparse LiDAR-Camera Fusion for 3D Object Detection, pp.\ 109--128.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation SparseLIF: High-Performance Sparse LiDAR-Camera Fusion for 3D Object Detection, pp.\ 109--128
Reference 55
- Resolution
- verified exact
- doi, observed 2026-08-07T14:27:36.479566Z
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 fe1a953f-0706-4bac-ac39-baeddc86b8c7 · outbound
This paper cites Lidar-camera panoptic segmentation via geometry-consistent and semantic-aware alignment.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Lidar-camera panoptic segmentation via geometry-consistent and semantic-aware alignment
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:38.734738Z
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 3e50088d-dfe6-42f2-86e2-e05fb8052969 · outbound
This paper cites Unimix: Towards domain adaptive and generalizable lidar semantic segmentation in adverse weather.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Unimix: Towards domain adaptive and generalizable lidar semantic segmentation in adverse weather
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:38.573591Z
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 5fa4f913-1bb2-425e-a3eb-e79442fc9966 · outbound
This paper cites an unresolved cited work.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:27:38.467585Z
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 a602917e-01fb-4724-8078-aad535591254 · outbound
This paper cites Synthetic-to-Real Domain Generalized Semantic Segmentation for 3D Indoor Point Clouds.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Synthetic-to-Real Domain Generalized Semantic Segmentation for 3D Indoor Point Clouds
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:27:37.023114Z
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 9fda9ada-16ea-4505-a967-39b72f4a4452 · outbound
This paper cites Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:36.186452Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 233eb8ec-dcab-4b66-9b55-ecac8ed365fa · outbound
This paper cites Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:36.259287Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4dbe583-bf2e-4ee8-8269-e792c1ec88f1 · outbound
This paper cites Perception-aware multi-sensor fusion for 3d lidar semantic segmentation.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Perception-aware multi-sensor fusion for 3d lidar semantic segmentation
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:27:38.310344Z
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.
Pith citing papers
Observation 68b7c52c-3ce4-4198-948d-ae768b7130be · inbound
UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation cites this paper.
UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T21:44:10.494363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.