Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:30:15.479850Z
Paper Citation Record · LEDGER
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather
As of 17 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2506.02396.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
64 of 64 outbound references displayed
- verified exact1
- verified fuzzy54
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8b9dbd72-1904-4509-9b81-2f7d7c83e2e4 · outbound
This paper cites Invariance principle meets in- formation bottleneck for out-of-distribution generalization.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Invariance principle meets in- formation bottleneck for out-of-distribution generalization
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.703633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3440cac1-c939-49f2-8b5a-436c92661855 · outbound
This paper cites Deep Variational Information Bottleneck.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Deep Variational Information Bottleneck
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:30:13.383891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation baf6c7af-da94-4f26-a538-7b73740c5c4f · outbound
This paper cites Multi projection fusion for real-time seman- tic segmentation of 3d lidar point clouds.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Multi projection fusion for real-time seman- tic segmentation of 3d lidar point clouds
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.686085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1598bbc1-5440-4a59-968b-c52a96ebf328 · outbound
This paper cites Rangevit: Towards vision transformers for 3d semantic segmentation in au- tonomous driving.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Rangevit: Towards vision transformers for 3d semantic segmentation in au- tonomous driving
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.668244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4f1aeb2e-779a-4037-8599-0b258274410b · outbound
This paper cites Se- mantickitti: A dataset for semantic scene understanding of lidar sequences.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Se- mantickitti: A dataset for semantic scene understanding of lidar sequences
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.650629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c037563d-03d4-4293-9eb5-c014f4d79811 · outbound
This paper cites Seeing through fog without seeing fog: Deep multimodal sensor fu- sion in unseen adverse weather.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Seeing through fog without seeing fog: Deep multimodal sensor fu- sion in unseen adverse weather
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.632943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6522cd62-0e4f-4ed0-b63f-2bb96d0afe9a · outbound
This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather 4d spatio-temporal convnets: Minkowski convolutional neural networks
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.613377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7cd45caa-617c-4b84-ae0b-7baa436ffb50 · outbound
This paper cites Salsanext: Fast, uncertainty-aware semantic segmentation of lidar point clouds.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Salsanext: Fast, uncertainty-aware semantic segmentation of lidar point clouds
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.595445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3258b2e1-0232-4429-8de9-230d64331c7e · outbound
This paper cites Incorporating second-order func- tional knowledge for better option pricing.Adv.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Incorporating second-order func- tional knowledge for better option pricing.Adv
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.577614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 70594366-bb12-4642-b81c-550d091840ba · outbound
This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Are we ready for autonomous driving? the kitti vision benchmark suite
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.559683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0923e00a-ea0e-4f87-a9b3-3fe965b3521e · outbound
This paper cites 3d semantic segmentation with submanifold sparse convolutional networks.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather 3d semantic segmentation with submanifold sparse convolutional networks
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.542224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a3c130c0-8e8a-4e91-a475-3f72f33e025a · outbound
This paper cites Deep learning for 3d point clouds: A survey.IEEE Trans.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Deep learning for 3d point clouds: A survey.IEEE Trans
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:30:14.454538Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 194e05af-6344-47bc-9eef-f26741fa0a01 · outbound
This paper cites Fog simulation on real lidar point clouds for 3d object detection in adverse weather.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Fog simulation on real lidar point clouds for 3d object detection in adverse weather
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.513099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fba99720-68ca-4d95-b2a0-fa89ee6b5e02 · outbound
This paper cites Lidar snowfall simulation for robust 3d object detection.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Lidar snowfall simulation for robust 3d object detection
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.495306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b85d3dc8-5e3f-42ba-9887-986bae57210a · outbound
This paper cites Domain generalization-aware uncertainty introspective learning for 3d point clouds segmentation.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Domain generalization-aware uncertainty introspective learning for 3d point clouds segmentation
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.477350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3b00167d-8d27-426e-b050-afb9efa71692 · outbound
This paper cites Dual-graph attention convolution network for 3-d point cloud classifi- cation.IEEE Trans.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Dual-graph attention convolution network for 3-d point cloud classifi- cation.IEEE Trans
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.461168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a48035e8-af15-4ee1-a109-072a29196ec7 · outbound
This paper cites Single domain generalization for lidar semantic segmentation.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Single domain generalization for lidar semantic segmentation
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.443689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation db830fe6-49f1-409c-a04e-cc979fbd5178 · outbound
This paper cites Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:30:15.667228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 02792c1d-a300-4083-a6e6-18184e7f9d9f · outbound
This paper cites Rethinking range view representation for lidar segmentation.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Rethinking range view representation for lidar segmentation
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.424463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0e5ecdba-029e-4286-bf68-6137ca20dc45 · outbound
This paper cites Robo3d: Towards robust and reliable 3d perception against corruptions.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Robo3d: Towards robust and reliable 3d perception against corruptions
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.406208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f3f9704e-260d-4c8e-b17b-8f306b34ce00 · outbound
This paper cites Stratified trans- former for 3d point cloud segmentation.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Stratified trans- former for 3d point cloud segmentation
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.388277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 69992cea-43bf-4e15-ae5f-81a9e2aeaafb · outbound
This paper cites Spherical transformer for lidar-based 3d recognition.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Spherical transformer for lidar-based 3d recognition
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.372101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 15791482-6ebe-4563-bf74-0a977e3ad5f9 · outbound
This paper cites Large-scale point cloud semantic segmentation with superpoint graphs.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Large-scale point cloud semantic segmentation with superpoint graphs
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.353954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 83d8e60a-ccf0-4582-b466-f7424bb986cc · outbound
This paper cites 3d- vfield: Adversarial augmentation of point clouds for domain generalization in 3d object detection.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather 3d- vfield: Adversarial augmentation of point clouds for domain generalization in 3d object detection
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.336212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b1bd3e48-ea9b-46b2-b674-d217d5b6a0d7 · outbound
This paper cites Domain generalization with adversarial feature learning.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Domain generalization with adversarial feature learning
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.319290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7b9dec4a-fb77-47cc-aabf-fc3af8f54814 · outbound
This paper cites Rapid-seg: Range-aware pointwise distance distribution networks for 3d lidar segmentation.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Rapid-seg: Range-aware pointwise distance distribution networks for 3d lidar segmentation
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.302446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2315e0ca-b5f5-4972-a709-7f3a1684377d · outbound
This paper cites Cpgnet: Cascade point-grid fusion network for real-time li- dar semantic segmentation.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Cpgnet: Cascade point-grid fusion network for real-time li- dar semantic segmentation
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.286589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7ea6850e-cff4-4ed6-af07-09d4e94f4fdd · outbound
This paper cites Pointcnn: Convolution on x-transformed points.Adv.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Pointcnn: Convolution on x-transformed points.Adv
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.270188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a8c56326-6d28-4971-81a5-e365a1d4c03b · outbound
This paper cites Rangenet++: Fast and accurate lidar semantic segmentation.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Rangenet++: Fast and accurate lidar semantic segmentation
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.253640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 52403f3b-4204-423f-aa68-50dcf55fb2cd · outbound
This paper cites Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:30:15.298202Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc35d367-b420-49e9-a595-ab05a231c8c7 · outbound
This paper cites Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:30:15.303987Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61adba4c-0870-468e-b4ec-7e916261e635 · outbound
This paper cites V olumetric and multi-view cnns for object classification on 3d data.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather V olumetric and multi-view cnns for object classification on 3d data
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.237972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b6579bfe-6cc4-447a-97a2-cb54b50f1469 · outbound
This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Pointnet: Deep learning on point sets for 3d classification and segmentation
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.221358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cb28ff5a-1dcb-47cf-a7f0-ba52c578d542 · outbound
This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.Adv.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Pointnet++: Deep hierarchical feature learning on point sets in a metric space.Adv
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.204317Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0d392b6d-5107-4f15-b5bb-e4f3b19065f6 · outbound
This paper cites Pointnext: Revisiting pointnet++ with improved training and scaling strategies.Adv.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Pointnext: Revisiting pointnet++ with improved training and scaling strategies.Adv
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.185178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 59236175-cb27-448a-81e2-bfbd26f7c037 · outbound
This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Mobilenetv2: Inverted residuals and linear bottlenecks
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.164326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3a789d02-07b9-45ac-bf0e-1b06d7babc62 · outbound
This paper cites Super-convergence: Very fast training of neural networks using large learning rates.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Super-convergence: Very fast training of neural networks using large learning rates
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.146527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d0973a1a-4a79-4c5b-ae22-07b52ecd5316 · outbound
This paper cites On Efficient Variants of Segment Anything Model: A Survey.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather On Efficient Variants of Segment Anything Model: A Survey
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:30:15.338665Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 693ad391-f2cf-4efb-96e2-37a14ea17103 · outbound
This paper cites Searching efficient 3d architec- tures with sparse point-voxel convolution.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Searching efficient 3d architec- tures with sparse point-voxel convolution
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.127752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 70be38a2-43f1-47f0-9bee-b828fd7d38f7 · outbound
This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results.NeurIPS, 2017.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results.NeurIPS, 2017
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.109332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a0aeb9ad-cf70-42e3-b649-f258cbc70432 · outbound
This paper cites Kpconv: Flexible and deformable convolution for point clouds.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Kpconv: Flexible and deformable convolution for point clouds
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:30:15.352593Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba099299-82eb-4585-8f24-5a8c54fa849e · outbound
This paper cites Instance Normalization: The Missing Ingredient for Fast Stylization.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Instance Normalization: The Missing Ingredient for Fast Stylization
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:30:15.357721Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation adadf53f-8ebc-46a1-b0a9-830a4d4469cf · outbound
This paper cites Attention is all you need.Adv.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Attention is all you need.Adv
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.078060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fb628691-0d14-46b7-ad1c-7a90a6004d62 · outbound
This paper cites Generalizing to unseen domains: A survey on do- main generalization.IEEE Trans.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Generalizing to unseen domains: A survey on do- main generalization.IEEE Trans
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.061735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1a8840bd-d12e-48a2-a62e-504b6105b0a2 · outbound
This paper cites Dynamic graph cnn for learning on point clouds.ACM Trans.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Dynamic graph cnn for learning on point clouds.ACM Trans
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.045677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 68661049-1007-4671-8861-e8357d8ac5e2 · outbound
This paper cites Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.027451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 53cdad62-b154-44f4-a17c-47182ecb9236 · outbound
This paper cites Pointconv: Deep convolutional networks on 3d point clouds.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Pointconv: Deep convolutional networks on 3d point clouds
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:16.009784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 34c9c118-b702-49f7-bc8f-930be7c98633 · outbound
This paper cites Point transformer v2: Grouped vector atten- tion and partition-based pooling.Adv.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Point transformer v2: Grouped vector atten- tion and partition-based pooling.Adv
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:15.992616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5094783a-edeb-473d-8e50-dbc31ccbf28e · outbound
This paper cites Point transformer v3: Simpler faster stronger.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Point transformer v3: Simpler faster stronger
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:15.975901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 70edb725-a017-45a5-b3fa-1d352d1977d8 · outbound
This paper cites 3d shapenets: A deep representation for volumetric shapes.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather 3d shapenets: A deep representation for volumetric shapes
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:15.958725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1ad6db43-5b07-49f5-af80-5234f5228f47 · outbound
This paper cites Polarmix: A general data augmen- tation technique for lidar point clouds.Adv.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Polarmix: A general data augmen- tation technique for lidar point clouds.Adv
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:15.941938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1d4e0466-95d4-4648-85a0-6d9b4e5a2511 · outbound
This paper cites Transfer learning from synthetic to real lidar point cloud for semantic segmentation.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Transfer learning from synthetic to real lidar point cloud for semantic segmentation
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:15.925943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 72819e54-5e6a-4ad9-bf29-cfaab78c9547 · outbound
This paper cites 3d semantic segmentation in the wild: Learning generalized models for adverse-condition point clouds.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather 3d semantic segmentation in the wild: Learning generalized models for adverse-condition point clouds
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:15.908276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4d0fd245-c90f-4088-bba4-d44fac0aae2a · outbound
This paper cites A survey of label-efficient deep learning for 3d point clouds.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather A survey of label-efficient deep learning for 3d point clouds
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:15.891486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c68f1501-3f9a-4b94-80d0-90fffe93eb76 · outbound
This paper cites Rpvnet: A deep and efficient range-point- voxel fusion network for lidar point cloud segmentation.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Rpvnet: A deep and efficient range-point- voxel fusion network for lidar point cloud segmentation
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:15.871111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7da68f4a-b681-4367-946b-a1352aacdd57 · outbound
This paper cites Benchmarking the robustness of lidar se- mantic segmentation models.Int.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Benchmarking the robustness of lidar se- mantic segmentation models.Int
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:15.853143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 46c6128d-a70f-490d-9ff9-f4ba662e8360 · outbound
This paper cites Realistic Rainy Weather Simulation for LiDARs in CARLA Simulator.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Realistic Rainy Weather Simulation for LiDARs in CARLA Simulator
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:30:15.445834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 331dbfe2-7400-4b18-9e50-5957f1ec1cba · outbound
This paper cites Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:30:15.451054Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95c6633e-6b7d-4a2a-aa17-5b720b1199d9 · outbound
This paper cites Pcl: Proxy-based contrastive learning for domain generalization.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Pcl: Proxy-based contrastive learning for domain generalization
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:15.828471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dfd16aea-0dd3-479f-be66-7accbb63c216 · outbound
This paper cites Point transformer.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Point transformer
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:15.810899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fd70e54f-6f70-4134-9e1a-934cff85cb89 · outbound
This paper cites Unimix: Towards domain adaptive and gener- alizable lidar semantic segmentation in adverse weather.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Unimix: Towards domain adaptive and gener- alizable lidar semantic segmentation in adverse weather
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:15.792084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 60c90f3f-c184-49ec-8936-983e5caa8473 · outbound
This paper cites Cylinder3d: An effective 3d framework for driving-scene lidar semantic segmentation.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Cylinder3d: An effective 3d framework for driving-scene lidar semantic segmentation
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:15.767406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4c25bf5f-2358-4fe5-8848-c434e5c00b26 · outbound
This paper cites Domain generalization: A survey.IEEE Trans.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Domain generalization: A survey.IEEE Trans
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:15.741295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 674ed36b-8249-4e66-95bd-157a3a37a2dc · outbound
This paper cites Cylindrical and asymmetrical 3d convolution networks for lidar segmenta- tion.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Cylindrical and asymmetrical 3d convolution networks for lidar segmenta- tion
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:30:15.722577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.