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How AI Understands the 3D World: Point Clouds, PointNet, PointNet++ and Point Transformers
3D Point Cloud Segmentation with SuperPoint Transformers (and Python)
PIRATR: Parametric Object Inference for Robotic Applications with Transformers in 3D Point Clouds
Swin3D Explained in 3 Minutes | Pretrained Transformers for 3D Vision & Point Clouds
Spatial-Temporal Transformer for 3D Point Cloud Sequences
Revolutionizing 3D Point Clouds: Meet the Point Transformer!
Spatial Transformer for 3D Point Clouds (TPAMI 21)
PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds
Transformer Based 3D Point Cloud Semantic Segmentation
NDT-Transformer: Large-Scale 3D Point Cloud Localisation
[ICCV 2021] Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks
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Last Updated: October 21, 2026
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Published on Transactions on Pattern Analysis and Machine Intelligence (TPAMI). More details at the project page: ... [CVPR 2022] PointBERT: Pre-training The video features a live demonstration of the system running on our robotic platform (work machines) in the field at the AIT ... Authors: Yimin Wei (Sun Yat-Sen University); Hao Liu (Sun Yat-Sen University); Tingting Xie (Queen Mary University of London); ... Links : : youtube.com/ Twitter: x.com/arxflix LMNT: lmnt.com/ In this work, we propose a novel end-to-end approach to learn different non-rigid transformations of the input Accepted to RA-L & ICRA 2022. Code and models can be accessed at github.com/OPEN-AIR-SUN/PQ- This video is for the AMA564 project presentation in PolyU. Supplementary video for the ICCV 2021 paper: Kirill Mazur, Victor Lempitsky