Sampled Transformer for Point Sets

28 February 2023

Papers citing "Sampled Transformer for Point Sets"

7 / 7 papers shown

Title
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
Universal Approximation Under Constraints is Possible with Transformers Anastasis Kratsios Behnoosh Zamanlooy Tianlin Liu Ivan Dokmanić 51 26 0 07 Oct 2021
Dual Transformer for Point Cloud Analysis Xian-Feng Han Yi-Fei Jin Hui Cheng Guoqiang Xiao ViT 34 72 0 27 Apr 2021
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 251 2,012 0 28 Jul 2020
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks Kirill Mazur Victor Lempitsky 3DPC 46 39 0 22 Jul 2020
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 150 768 0 30 Mar 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,087 0 02 Dec 2016