Reader Brief: Authors: Yimin Wei (Sun Yat-Sen University); Hao Liu (Sun Yat-Sen University); Tingting Xie (Queen Mary University of London); ... Published on Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

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Accompanying video for our IEEE Sensors Letter submission tilted on "Performance Evaluation on Published on Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Authors: Yimin Wei (Sun Yat-Sen University); Hao Liu (Sun Yat-Sen University); Tingting Xie (Queen Mary University of London); ...

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Authors: Yimin Wei (Sun Yat-Sen University); Hao Liu (Sun Yat-Sen University); Tingting Xie (Queen Mary University of London); ...

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  • Published on Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
  • Accompanying video for our IEEE Sensors Letter submission tilted on "Performance Evaluation on
  • Authors: Yimin Wei (Sun Yat-Sen University); Hao Liu (Sun Yat-Sen University); Tingting Xie (Queen Mary University of London); ...

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Visual References

NDT-Transformer: Large-Scale 3D Point Cloud Localisation
ICRA2021 NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the NDT Representation
ICRA'22: Retriever: Point Cloud Retrieval in Compressed 3D Maps by Wiesmann et al.
Spatial-Temporal Transformer for 3D Point Cloud Sequences
765 - MinkLoc3D: Point Cloud Based Large-Scale Place Recognition
Spatial Transformer for 3D Point Clouds
Scan Matching Localization with LIDAR Point Clouds - Algorithm 1: Normal Distributions Transform NDT
PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds
A Demo on NDT Map-based Localization Scan Matching under Point Cloud Occlusion
Transformers in 3D point clouds
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Read Topic Context
NDT-Transformer: Large-Scale 3D Point Cloud Localisation

NDT-Transformer: Large-Scale 3D Point Cloud Localisation

Read more details and related context about NDT-Transformer: Large-Scale 3D Point Cloud Localisation.

ICRA2021 NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the NDT Representation

ICRA2021 NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the NDT Representation

Read more details and related context about ICRA2021 NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the NDT Representation.

ICRA'22: Retriever: Point Cloud Retrieval in Compressed 3D Maps by Wiesmann et al.

ICRA'22: Retriever: Point Cloud Retrieval in Compressed 3D Maps by Wiesmann et al.

L. Wiesmann, R. Marcuzzi, C. Stachniss, and J. Behley, “Retriever:

Spatial-Temporal Transformer for 3D Point Cloud Sequences

Spatial-Temporal Transformer for 3D Point Cloud Sequences

Authors: Yimin Wei (Sun Yat-Sen University); Hao Liu (Sun Yat-Sen University); Tingting Xie (Queen Mary University of London); ...

765 - MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

765 - MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

Read more details and related context about 765 - MinkLoc3D: Point Cloud Based Large-Scale Place Recognition.

Spatial Transformer for 3D Point Clouds

Spatial Transformer for 3D Point Clouds

Published on Transactions on Pattern Analysis and Machine Intelligence (TPAMI). More details at the project page: ...

Scan Matching Localization with LIDAR Point Clouds - Algorithm 1: Normal Distributions Transform NDT

Scan Matching Localization with LIDAR Point Clouds - Algorithm 1: Normal Distributions Transform NDT

Read more details and related context about Scan Matching Localization with LIDAR Point Clouds - Algorithm 1: Normal Distributions Transform NDT.

PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds

PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds

Accepted to RA-L & ICRA 2022. Code and models can be accessed at

A Demo on NDT Map-based Localization Scan Matching under Point Cloud Occlusion

A Demo on NDT Map-based Localization Scan Matching under Point Cloud Occlusion

Accompanying video for our IEEE Sensors Letter submission tilted on "Performance Evaluation on

Transformers in 3D point clouds

Transformers in 3D point clouds

Read more details and related context about Transformers in 3D point clouds.