Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing | Paper Citation Record

Observation bb5fbf6e-1d2c-4925-bd20-4e76dc52ec5b · outbound

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

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Semantickitti: A dataset for semantic scene understanding of lidar sequences

Reference 1

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Observation 291123e0-7c28-42f1-a0ca-69a5fad88f41 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 11621–11631, 2020.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing nuscenes: A multimodal dataset for autonomous driving.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 11621–11631, 2020

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.947143Z

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Observation 6613d83e-297e-4f16-ab7d-1f185ae6c018 · outbound

This paper cites 3d point cloud compression: A survey.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing 3d point cloud compression: A survey

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.935873Z

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Observation 47244eb7-9108-4280-90f2-c0bb680bf3aa · outbound

This paper cites Cmdfusion: Bidirectional fusion network with cross-modality knowledge distillation for lidar semantic segmentation.IEEE Robotics and Automation Letters, 9(1):771– 778, 2024.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Cmdfusion: Bidirectional fusion network with cross-modality knowledge distillation for lidar semantic segmentation.IEEE Robotics and Automation Letters, 9(1):771– 778, 2024

Reference 4

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Observation bb60a71d-8b1d-4109-8483-66fb9e7b7876 · outbound

This paper cites Multi-view 3d object detection network for autonomous driving.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Multi-view 3d object detection network for autonomous driving

Reference 5

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Observation 755ced46-500d-4fca-b2f6-01c3051278b4 · outbound

This paper cites Accurate and efficient 2-bit quantized neural networks.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Accurate and efficient 2-bit quantized neural networks

Reference 6

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Observation c3c33587-b39d-4318-b67c-066f79d2ff48 · outbound

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

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing 4d spatio-temporal convnets: Minkowski convolutional neural networks

Reference 7

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Observation a6ff90ec-019b-4b2f-9162-c7b43a62f66d · outbound

This paper cites SalsaNext: Fast, Uncertainty-Aware Semantic Segmentation of LiDAR Point Clouds.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing SalsaNext: Fast, Uncertainty-Aware Semantic Segmentation of LiDAR Point Clouds

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.885622Z

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Observation d01b2d38-fe4e-4425-af0b-622d55385153 · outbound

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

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Salsanext: Fast, uncertainty-aware semantic segmentation of lidar point clouds

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.871976Z

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Observation 7e8cf38a-ff75-4ba3-9d50-077870eb2109 · outbound

This paper cites Finding the task-optimal low-bit sub-distribution in deep neural networks.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Finding the task-optimal low-bit sub-distribution in deep neural networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.860285Z

Source-reported events for the cited work

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Observation a84ce7a1-8d0c-4ee2-9089-b95537d4094f · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 11

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Observation c5c24a2b-519e-4593-a0da-b6dd01c4ed3d · outbound

This paper cites Tornado-net: multiview total variation semantic segmentation with diamond inception module.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Tornado-net: multiview total variation semantic segmentation with diamond inception module

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.832649Z

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Observation 138dc9fe-568b-4ac6-b564-a1cf7b988b83 · outbound

This paper cites Real-time point cloud compression.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Real-time point cloud compression

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.819171Z

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Observation 13d37750-627d-4871-86bc-3dbfcebc9dac · outbound

This paper cites Pl-svo: Semi-direct monocu- lar visual odometry by combining points and line segments.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Pl-svo: Semi-direct monocu- lar visual odometry by combining points and line segments

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.805507Z

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Observation 9c50a147-f95b-471f-a6f6-e16aa1411360 · outbound

This paper cites Pct: Point cloud transformer.Computational Visual Media, 7:187–199, 2021.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Pct: Point cloud transformer.Computational Visual Media, 7:187–199, 2021

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:45.800858Z

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Observation 10a184fc-7b2e-43cc-890a-dc4aba2933c9 · outbound

This paper cites Liga-stereo: Learning lidar geometry aware representations for stereo-based 3d detector.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Liga-stereo: Learning lidar geometry aware representations for stereo-based 3d detector

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.783246Z

Source-reported events for the cited work

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Observation ac33e106-aa7c-45b1-a758-7033cdad5f9c · outbound

This paper cites Self-knowledge distillation in natural language processing.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Self-knowledge distillation in natural language processing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.769390Z

Source-reported events for the cited work

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Observation f0687ea4-b1a5-41c0-8a79-a51ede58bba9 · outbound

This paper cites Point cloud based scene segmentation: A survey, 2025.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Point cloud based scene segmentation: A survey, 2025

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.756394Z

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Observation 6a1c6ab4-1054-4fc2-b96a-531b6b2d3661 · outbound

This paper cites an unresolved cited work.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:09:46.744171Z

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Observation f35880c7-b49f-4dea-9e97-a91e0a117b50 · outbound

This paper cites Distiller: A systematic study of model distillation methods in natural language processing.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Distiller: A systematic study of model distillation methods in natural language processing

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.729179Z

Source-reported events for the cited work

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Observation b4d6d96b-579f-4a17-b27b-bf704974a94b · outbound

This paper cites Distilling the knowledge in a neural network.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Distilling the knowledge in a neural network

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.717945Z

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Observation 44b0dab1-344c-4239-9df3-e1a4177d5f3c · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Distilling the Knowledge in a Neural Network

Reference 22

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Observation 14eafa59-bc43-4b78-864d-264ebe790a7f · outbound

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

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Point-to-voxel knowledge distillation for lidar semantic segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.699284Z

Source-reported events for the cited work

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Observation 9d7ba628-36be-4628-bf84-8ce1e6525e28 · outbound

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

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Point-to-voxel knowledge distillation for lidar semantic segmentation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:45.844276Z

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Observation b3ba5f0d-0375-4e75-aa67-1343e58cc84f · outbound

This paper cites Searching for mobilenetv3.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Searching for mobilenetv3

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:45.848668Z

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Observation fd0a9793-b6b7-4e88-9dfe-99efc716a414 · outbound

This paper cites Leveraging topological guidance for improved knowledge distillation.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Leveraging topological guidance for improved knowledge distillation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.678369Z

Source-reported events for the cited work

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Observation 4e91e2d2-47dd-4a71-87a5-9bcf625ecc47 · outbound

This paper cites Do topological characteristics help in knowledge distillation? InForty-first International Conference on Machine Learning, 2024.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Do topological characteristics help in knowledge distillation? InForty-first International Conference on Machine Learning, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.665083Z

Source-reported events for the cited work

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Observation 959c70fe-ed19-4341-ae4f-b2c1f3a1e587 · outbound

This paper cites KPRNet: Improving projection-based LiDAR semantic segmentation.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing KPRNet: Improving projection-based LiDAR semantic segmentation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:45.861019Z

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Observation 6bc8e5b1-4281-4ec7-b354-d9b820065126 · outbound

This paper cites Kullback-leibler divergence, 1951.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Kullback-leibler divergence, 1951

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.653256Z

Source-reported events for the cited work

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Observation 8587aed8-99a1-4ef3-bc73-abc3a1e3dee9 · outbound

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

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Spherical transformer for lidar- based 3d recognition

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.639475Z

Source-reported events for the cited work

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Observation 1de0194e-1d20-4660-95f7-64652dbab01b · outbound

This paper cites Gradient-guided knowledge distillation for object detectors.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Gradient-guided knowledge distillation for object detectors

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.627783Z

Source-reported events for the cited work

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Observation 46a8f08f-27b9-4105-8018-dd71e0037e59 · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Pointpillars: Fast encoders for object detection from point clouds

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:45.877986Z

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Observation 2c74fac7-fa35-49b0-b23b-567171476d2e · outbound

This paper cites Vehicle detection from 3d lidar using fully convolutional network.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Vehicle detection from 3d lidar using fully convolutional network

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.607704Z

Source-reported events for the cited work

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Observation 21f04fc9-fb9f-4e75-aa31-0f0377e70c9b · outbound

This paper cites Tpv-igkd: Image- guided knowledge distillation for 3d semantic segmentation with tri-plane-view.IEEE Transac- tions on Intelligent Transportation Systems, 25(8):10405–10416, 2024.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Tpv-igkd: Image- guided knowledge distillation for 3d semantic segmentation with tri-plane-view.IEEE Transac- tions on Intelligent Transportation Systems, 25(8):10405–10416, 2024

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.596688Z

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Observation a45b93ba-65db-419a-8fe8-1937d8f370bf · outbound

This paper cites Self-distillation for robust lidar semantic segmentation in autonomous driving.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Self-distillation for robust lidar semantic segmentation in autonomous driving

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.583545Z

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Observation 73394230-dc08-4c65-8f56-f887fc925cca · outbound

This paper cites Mseg3d: Multimodal 3d semantic segmentation for autonomous driving.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Mseg3d: Multimodal 3d semantic segmentation for autonomous driving

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.569807Z

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Observation bf701219-0d9a-4b1e-96d3-f6b9f070a1d2 · outbound

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

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:45.898087Z

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Observation bd222af7-f6f7-45b5-96ae-923016d0a879 · outbound

This paper cites Structured knowledge distillation for semantic segmentation.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Structured knowledge distillation for semantic segmentation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:45.902268Z

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Observation 143c1161-9308-4776-9c5f-5c6e390c0271 · outbound

This paper cites Metapruning: Meta learning for automatic neural network channel pruning.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Metapruning: Meta learning for automatic neural network channel pruning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:45.905882Z

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Observation c08350d9-796b-4659-ac11-71721c1c3e52 · outbound

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Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:09:46.543539Z

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Observation 7542f20f-6a32-49f5-aa3c-271a7dfe45ac · outbound

This paper cites Shufflenet v2: Practical guidelines for efficient cnn architecture design.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Shufflenet v2: Practical guidelines for efficient cnn architecture design

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:45.913901Z

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Observation 31e6ec1e-2c12-4dc5-8986-9e4ee102b966 · outbound

This paper cites Rethinking network design and local geometry in point cloud: A simple residual mlp framework.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Rethinking network design and local geometry in point cloud: A simple residual mlp framework

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.524661Z

Source-reported events for the cited work

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Observation 729bc6cb-44d9-467d-9c56-317af85640a3 · outbound

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

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Rangenet++: Fast and accurate lidar semantic segmentation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:45.921857Z

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Observation 23fefd1a-630c-4bab-86ae-52e18b0fc92d · outbound

This paper cites Data-free quantization through weight equalization and bias correction.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Data-free quantization through weight equalization and bias correction

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:45.925757Z

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Observation f156491c-6a37-4820-8581-8b0a349a569e · outbound

This paper cites Development of small robot for home floor cleaning.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Development of small robot for home floor cleaning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.499867Z

Source-reported events for the cited work

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Observation f4b17887-977a-4a31-bd3e-6b75d0d0ea38 · outbound

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

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:45.933052Z

Source-reported events for the cited work

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Observation 811b6de3-0918-45fe-b187-27a8ec7518d4 · outbound

This paper cites GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:45.937004Z

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Observation a57bbe4d-e0ea-44aa-9a06-d726f432b22d · outbound

This paper cites Towards zero-shot knowledge distillation for natural language processing.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Towards zero-shot knowledge distillation for natural language processing

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.479912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0563e17a-6a50-402f-ba36-5324a63e1144 · outbound

This paper cites Efficient 3d semantic segmentation with superpoint transformer.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Efficient 3d semantic segmentation with superpoint transformer

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.467887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7b954570-0c33-4af8-b106-ef85a541613c · outbound

This paper cites Fitnets: Hints for thin deep nets.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Fitnets: Hints for thin deep nets

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.456053Z

Source-reported events for the cited work

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Observation 5151063c-cd67-4a88-8f38-75df25aef053 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:45.955600Z

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Observation 63f5d849-74cf-4100-a8fd-e7acd7a499e8 · outbound

This paper cites Semantic scene completion from a single depth image.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Semantic scene completion from a single depth image

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:45.959945Z

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Observation daa210d9-9652-4fe8-9d89-293883036c75 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2446–2454, 2020.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Scalability in perception for autonomous driving: Waymo open dataset.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2446–2454, 2020

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.435831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 728f566e-b096-44a2-b469-74a6a1a90b1d · outbound

This paper cites an unresolved cited work.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:09:46.421992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 883b186b-941c-46e2-b5e0-3d2439bc312f · outbound

This paper cites Searching efficient 3d architectures with sparse point-voxel convolution.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Searching efficient 3d architectures with sparse point-voxel convolution

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.408889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation abcecf6b-ed46-4448-8e25-73581f06e6ce · outbound

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

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Kpconv: Flexible and deformable convolution for point clouds

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:45.980248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94474601-abae-415a-80b9-ec84e5129813 · outbound

This paper cites Similarity-preserving knowledge distillation.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Similarity-preserving knowledge distillation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:45.984469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba4e2b9d-65a0-4960-8dd0-b9f8faf637e2 · outbound

This paper cites Springer, 2009.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Springer, 2009

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.382866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c8033db6-014b-4e70-b9bf-5bd4d380dc26 · outbound

This paper cites O-cnn: Octree-based convolutional neural networks for 3d shape analysis.ACM Transactions On Graphics (TOG), 36(4):1–11, 2017.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing O-cnn: Octree-based convolutional neural networks for 3d shape analysis.ACM Transactions On Graphics (TOG), 36(4):1–11, 2017

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:45.993749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 236eebb3-26fc-4cf5-86c3-012fb13bafeb · outbound

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

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Point transformer v3: Simpler, faster, stronger

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.362032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eaf2434e-b58a-4fd5-a4f9-0cee49990a40 · outbound

This paper cites Point transformer v2: Grouped vector attention and partition-based pooling.Advances in Neural Information Processing Systems, 35:33330–33342, 2022.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Point transformer v2: Grouped vector attention and partition-based pooling.Advances in Neural Information Processing Systems, 35:33330–33342, 2022

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:46.002753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f4e7c16-609c-4073-bde9-9d983a9f2fcc · outbound

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

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Point transformer v2: Grouped vector attention and partition-based pooling

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:46.006783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6c064df-7167-4204-9aa8-18245acfb2c0 · outbound

This paper cites Rpvnet: A deep and efficient range-point-voxel fusion network for lidar point cloud segmentation.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Rpvnet: A deep and efficient range-point-voxel fusion network for lidar point cloud segmentation

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.335645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f0deaee1-4595-412c-b590-25661b330328 · outbound

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

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing 2dpass: 2d priors assisted semantic segmentation on lidar point clouds

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.324111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2413ab7f-ab6d-405b-9006-f74aa4085aa7 · outbound

This paper cites Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:46.020241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc50d5c7-26f2-49e2-ad7c-81cfd0798794 · outbound

This paper cites LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:46.025902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b36d127-2cf5-45b3-89d9-2285542fdf8d · outbound

This paper cites Deep fusionnet for point cloud semantic segmentation.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Deep fusionnet for point cloud semantic segmentation

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.309924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a7b7645c-4a4c-4a62-b237-784bc163c3e8 · outbound

This paper cites Pointdistiller: Structured knowledge distillation towards efficient and compact 3d detection.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Pointdistiller: Structured knowledge distillation towards efficient and compact 3d detection

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.298837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bb268772-13dd-40e6-bd99-46bc8bd9efde · outbound

This paper cites Zhang, J.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Zhang, J

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.286388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 16791489-55cc-415e-97c2-d807ea4c4b2c · outbound

This paper cites Gpu-accelerated computation of vietoris-rips persistence barcodes.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Gpu-accelerated computation of vietoris-rips persistence barcodes

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.274149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 16a89191-4d96-4320-9cbc-cbed741ca37d · outbound

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

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Polarnet: An improved grid representation for online lidar point clouds semantic segmentation

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.262723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f006f852-0d48-430b-a283-dc3128ff9b65 · outbound

This paper cites Pointweb: Enhancing local neigh- borhood features for point cloud processing.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Pointweb: Enhancing local neigh- borhood features for point cloud processing

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.250932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d68dc91b-1b30-4d2a-bb2e-20ae9f517214 · outbound

This paper cites an unresolved cited work.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:09:46.239357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9cd7eb81-09a8-4c45-b8d9-f8fd09820f96 · outbound

This paper cites Svaseg: Sparse voxel-based attention for 3d lidar point cloud semantic segmentation.Remote Sensing, 14(18):4471, 2022.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Svaseg: Sparse voxel-based attention for 3d lidar point cloud semantic segmentation.Remote Sensing, 14(18):4471, 2022

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.227397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 443aee5d-0a89-4bc6-95fe-a4a355421cff · outbound

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

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing V oxelnet: End-to-end learning for point cloud based 3d object detection

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.213258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9186da35-a585-47a7-88d5-2e1939ffe694 · outbound

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

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Cylindrical and asymmetrical 3d convolution networks for lidar segmentation

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.200571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0f31ff41-bb7d-451a-9ee2-3663075c5514 · outbound

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

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing Perception-aware multi-sensor fusion for 3d lidar semantic segmentation

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:46.186103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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