NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation | Paper Citation Record

Observation 57dc4aed-d3f3-4896-bfbe-ef5c08e17e6a · outbound

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

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Cylindrical and asymmetrical 3d convolution networks for lidar segmentation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:08.438156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c2bd9c50-cd9e-45e4-920b-5bc844a0e463 · outbound

This paper cites (af)-s3net: Attentive feature fusion with adaptie feature selection for sparse semantic segmen- tation network,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation (af)-s3net: Attentive feature fusion with adaptie feature selection for sparse semantic segmen- tation network,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:08.284741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 08a3c66c-2b1b-4a05-abbb-80623c702106 · outbound

This paper cites Polarnet: An improved grid representation for online lidar point clouds semantic segmentation,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Polarnet: An improved grid representation for online lidar point clouds semantic segmentation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:08.057689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eb388f5d-cc37-4439-a504-05059588f4e8 · outbound

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

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation V oxelnet: End-to-end learning for point cloud based 3d object detection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:07.844026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b49d5cfa-8103-4c16-9727-d52f68bc09f4 · outbound

This paper cites Octnet: Learning deep 3d representation at high resolutions,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Octnet: Learning deep 3d representation at high resolutions,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:07.644745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f8c2e396-e896-4866-bcb9-df0150d01b67 · outbound

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

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation V oxnet: a 3d convolutional neural network for real-time object recognition,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:07.501728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5b6a35ac-b49a-4b35-8bac-793ade816dc5 · outbound

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

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:07.323158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f36e8f78-13bf-4033-a130-006edeed4ad8 · outbound

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

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:07.136110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7e3b5cf5-1348-4dbf-b2f4-12ae5f322a0d · outbound

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

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation 3d semantic segmen- tation with submanifold sparse convolution networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:06.973487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation da730725-363a-482d-a239-245745789bf1 · outbound

This paper cites Search- ing efficient 3d architectures with sparse point-voxel convolution,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Search- ing efficient 3d architectures with sparse point-voxel convolution,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:06.851134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fe361ea4-05b5-4921-9374-98a76e2ac077 · outbound

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

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation 2dpass: 2d priors assisted semantic segmentation on lidar point clouds,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:06.686016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 03fa888f-29fc-474c-bf47-f27b89d3d09d · outbound

This paper cites Link: Linear kernel for lidar-based 3d perception,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Link: Linear kernel for lidar-based 3d perception,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:06.575977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 13589127-1fe8-42dc-b63b-f96cb991ef4c · outbound

This paper cites Spherical transformer for lidar-based 3d recognition,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Spherical transformer for lidar-based 3d recognition,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:06.460287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2cb04e8f-b923-40ef-9163-1270ac7e318d · outbound

This paper cites Rangenet++: Fast and accurate lidar semantic segmentation,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Rangenet++: Fast and accurate lidar semantic segmentation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:06.321877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7948f2e4-c43c-429a-8f2a-a4abc745b1a7 · outbound

This paper cites A deep and efficient range-point-voxel fusion network for lidar,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation A deep and efficient range-point-voxel fusion network for lidar,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:06.210905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation be092c77-0cfb-4c49-be52-7a9150118c42 · outbound

This paper cites Point-to-voxel knowledge distillation for lidar semantic segmentation,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Point-to-voxel knowledge distillation for lidar semantic segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:06.102764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eb373e8b-aa7c-4c26-939e-a133a529111c · outbound

This paper cites Drinet: A dual-representation iterative learning network for point cloud segmentation,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Drinet: A dual-representation iterative learning network for point cloud segmentation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:06.005339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1eaa3fb3-b572-4759-bd39-c2d7f27afc08 · outbound

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

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Randla-net: Efficient semantic segmentation of large- scale point clouds,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:05.872255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 437afc0a-6604-420b-827b-89d75eb31a64 · outbound

This paper cites Real-time scene-aware lidar point cloud compression using semantic prior representation,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Real-time scene-aware lidar point cloud compression using semantic prior representation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:05.760555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 52e8eac7-114f-45b5-8182-a94d1ebcf413 · outbound

This paper cites Towards robust lidar- camera fusion in bev space via mutual deformable attention and temporal aggregation,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Towards robust lidar- camera fusion in bev space via mutual deformable attention and temporal aggregation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:05.638458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b284d579-598c-4880-b49c-3ddd228b4af7 · outbound

This paper cites A multi-phase camera-lidar fusion network for 3d semantic segmentation with weak supervision,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation A multi-phase camera-lidar fusion network for 3d semantic segmentation with weak supervision,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:05.454195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 603a68bd-9779-4798-9e35-ddc5b681b952 · outbound

This paper cites Temporal-channel transformer for 3d lidar-based video object detection for autonomous driving,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Temporal-channel transformer for 3d lidar-based video object detection for autonomous driving,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:05.289140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c84ba078-7545-473c-b67e-af2f50c7afc0 · outbound

This paper cites Ffnet: Frequency fusion network for semantic scene completion,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Ffnet: Frequency fusion network for semantic scene completion,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:05.152609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f39554d8-554b-4152-bc84-f94b26d510b6 · outbound

This paper cites Squeezesegv3: Spatially-adaptive convolution for effi- cient point-cloud segmentation,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Squeezesegv3: Spatially-adaptive convolution for effi- cient point-cloud segmentation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:04.969674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f3648085-7c32-4b98-9086-550ece07d92f · outbound

This paper cites Rangevit: Towards vision transformers for 3d semantic segmentation in autonomous driving,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Rangevit: Towards vision transformers for 3d semantic segmentation in autonomous driving,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:04.821958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation df8ecba1-d841-4132-9adb-ce0c78dde81b · outbound

This paper cites Adaint: Learning adaptive intervals for 3d lookup tables on real-time image enhancement,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Adaint: Learning adaptive intervals for 3d lookup tables on real-time image enhancement,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:04.629427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e86d54cc-9615-464e-99c3-c4131c7a62fb · outbound

This paper cites Deformable kernels: Adapting effective receptive fields for object deformation,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Deformable kernels: Adapting effective receptive fields for object deformation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:04.415741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d37b5ce6-aa2d-4962-91c4-e4054884eded · outbound

This paper cites Pointrend: image segmenta- tion as rendering,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Pointrend: image segmenta- tion as rendering,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:04.248878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 35b2b769-0891-49b2-b542-b25f6adf93b2 · outbound

This paper cites Hvnet: Hybrid voxel network for lidar based 3d object detection,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Hvnet: Hybrid voxel network for lidar based 3d object detection,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:04.097285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a491887d-2919-4eb3-bfa4-4752e7d5ccf7 · outbound

This paper cites Pointaugment: an auto- augmentation framework for point cloud classification,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Pointaugment: an auto- augmentation framework for point cloud classification,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:03.945078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5ea7de61-dbff-4e1d-a42a-0506de98b063 · outbound

This paper cites Panoptic-polarnet: Proposal-free lidar point cloud panoptic segmentation,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Panoptic-polarnet: Proposal-free lidar point cloud panoptic segmentation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:03.776912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 231ef71c-a73c-4bee-9604-5750c149340e · outbound

This paper cites Point-voxel cnn for efficient 3d deep learning,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Point-voxel cnn for efficient 3d deep learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:03.568193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9bd826e8-14c9-4ecb-b122-7daa40420d01 · outbound

This paper cites The lovasz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation The lovasz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:03.380546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e5018564-4f3f-4184-b6c3-2385fbb73afd · outbound

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

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Semantickitti: A dataset for semantic scene understanding of lidar sequences,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:03.187425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3b130905-33e6-432b-b2dd-6560d4fce4af · outbound

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

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation nuscenes: A multimodal dataset for autonomous driving,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:03.040180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 17f7502e-e305-45d8-b4b4-432e13de75e2 · outbound

This paper cites Efficient point cloud segmentation with geometry-aware sparse networks,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Efficient point cloud segmentation with geometry-aware sparse networks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:02.877284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cfa74697-e4db-4082-a5ca-2b0e03cd8461 · outbound

This paper cites Using a waffle iron for automotive point cloud semantic segmentation,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Using a waffle iron for automotive point cloud semantic segmentation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:02.698646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a58df211-4e99-4831-9b89-cdf9ac35a9b8 · outbound

This paper cites Rethinking range view representation for lidar segmentation,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Rethinking range view representation for lidar segmentation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:02.522563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5fff4a8b-2eb7-456c-8d42-dbe57d15ded2 · outbound

This paper cites Sfpnet: Sparse focal point network for semantic segmentation on general lidar point clouds.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Sfpnet: Sparse focal point network for semantic segmentation on general lidar point clouds

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:02.346254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c462ae60-16b9-42ab-ada4-a3198dc461b5 · outbound

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

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:02.155056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 27dd9f8f-de39-45ef-a258-907fceee255d · outbound

This paper cites AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:55.371084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 982e8e1a-2e3f-46d3-b1c1-41346b4d2ef8 · outbound

This paper cites Perception-aware multi-sensor fusion for 3d lidar semantic segmentation,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Perception-aware multi-sensor fusion for 3d lidar semantic segmentation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:01.974543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 01eda63e-af92-4f65-9a46-6abe9773b7a3 · outbound

This paper cites Learning 3d semantic segmen- tation with only 2d image supervision,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Learning 3d semantic segmen- tation with only 2d image supervision,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:01.744017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3c7eeaa1-b6ac-4c17-a89d-6d5ce7d0fd3d · outbound

This paper cites LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:27:57.753133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4ce2f2d9-333e-47f6-a72a-7f1a60fb54c1 · outbound

This paper cites Tanget convolu- tions for dense prediction in 3d,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Tanget convolu- tions for dense prediction in 3d,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:01.555011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9fb374cd-adce-49ec-af9b-286f1325d9d0 · outbound

This paper cites Spsequencenet: Semantic segmentation network on 4d point clouds,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Spsequencenet: Semantic segmentation network on 4d point clouds,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:01.373959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3a8b6c89-bb48-4a4f-89bd-cf16f76cded3 · outbound

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

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Kpconv: Flexible and deformable convolution for point cloud,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:01.210034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c15a2b34-2484-4cdd-9dbd-c85de224eb44 · outbound

This paper cites Pv- rcnn: Point-voxel feature set abstraction for 3d object detection,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Pv- rcnn: Point-voxel feature set abstraction for 3d object detection,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:01.003167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7200bf65-1972-4239-9c3e-70bfdb538fad · outbound

This paper cites Pointgroup: Dual-set point grouping for 3d instance segmentation,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Pointgroup: Dual-set point grouping for 3d instance segmentation,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:00.824494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4be1f3f5-6c35-4e1a-87c3-fd72c7f00e1a · outbound

This paper cites Lidar panoptic segmentation for autonomous driving,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Lidar panoptic segmentation for autonomous driving,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:00.650545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b56285ed-e38a-426e-a18c-ea159e8329f8 · outbound

This paper cites Scribble-supervised lidar semantic segmentation,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Scribble-supervised lidar semantic segmentation,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:00.426039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1bcb5956-92c7-4758-8721-0b9fc01f16f1 · outbound

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

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation 4d spatio-temporal convnets: Minkowski convolutional neural networks,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:00.232203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 786588a0-de7e-4a9f-ae60-83383efd7275 · outbound

This paper cites Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:28:00.031003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 470648e4-670c-4d9b-83ad-c97db6371e56 · outbound

This paper cites Squeezesegv2: Improved model structure and unsupervised domain adaptation for road- object segmentation from a lidar point cloud,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Squeezesegv2: Improved model structure and unsupervised domain adaptation for road- object segmentation from a lidar point cloud,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:59.827789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5e7f7a96-5ba3-44e4-8985-bad71af9fcae · outbound

This paper cites Salsanext: Fast, uncertainty- aware semantic segmentation of lidar point clouds,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Salsanext: Fast, uncertainty- aware semantic segmentation of lidar point clouds,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:59.631262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8dc22304-041b-49f8-aa78-8de5942937b2 · outbound

This paper cites Fidnet: Lidar point cloud semantic segmentation with fully interpolation decoding,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Fidnet: Lidar point cloud semantic segmentation with fully interpolation decoding,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:59.473478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 10270ed1-c8c8-4314-85a2-4e3317bdcca3 · outbound

This paper cites Cenet: Toward concise and efficient lidar semantic segmentation for autonomous driving,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Cenet: Toward concise and efficient lidar semantic segmentation for autonomous driving,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:59.283679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4f9e32b3-7503-4dd8-898f-1f8044497d51 · outbound

This paper cites Pids: Joint point interaction-dimension search for 3d point cloud,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Pids: Joint point interaction-dimension search for 3d point cloud,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:59.100656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4935e555-d5fa-433c-b723-dad4be5f7d28 · outbound

This paper cites Cpgnet: Cascade point-grid fusion network for real-time lidar semantic segmentation,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Cpgnet: Cascade point-grid fusion network for real-time lidar semantic segmentation,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:58.938994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eb5a4ef8-6594-4910-8014-ec963c82777f · outbound

This paper cites Gfnet: Geometric flow network for 3d point cloud semantic segmentation,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Gfnet: Geometric flow network for 3d point cloud semantic segmentation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:58.786550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c147381d-6845-45cd-93fc-05caad39d116 · outbound

This paper cites Panoptic segmentation,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Panoptic segmentation,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:58.576645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5ce60264-954b-45a3-94ad-29a2fe28609d · outbound

This paper cites Embracing single stride 3d object detector with sparse transformer,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation Embracing single stride 3d object detector with sparse transformer,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:58.380647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1bb6c069-8c8f-4ae8-a6bc-06b539ad456d · outbound

This paper cites 3d semantic segmentation with submanifold sparse convolutional networks,.

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation 3d semantic segmentation with submanifold sparse convolutional networks,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:58.182980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 022454b5-a0f9-48cd-9bb7-1b4e02e27af2 · outbound

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

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation 3d semantic segmen- tation with submanifold sparse convolutional networks,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:57.968641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers