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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
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2017
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Charles R. Qi
Yi Li
Hao Su
Leonidas Guibas
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2
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Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
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2022
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Runpei Dong
Zekun Qi
Linfeng Zhang
Junbo Zhang
Jianjian Sun
Zheng Ge
Yi Li
Kaisheng Ma
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2
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Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
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2022
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Xumin Yu
Lulu Tang
Yongming Rao
Tiejun Huang
Jie Zhou
Jiwen Lu
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2
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Dynamic Graph CNN for Learning on Point Clouds
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2019
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Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
Michael M. Bronstein
Justin Solomon
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2
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CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding
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2022
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Mohamed Afham
Isuru Dissanayake
D. M. K. N. L. Dissanayake
Amaya Dharmasiri
Kanchana Thilakarathna
Ranga Rodrigo
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2
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Masked Autoencoders for Point Cloud Self-supervised Learning
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2022
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Yatian Pang
Wenxiao Wang
Francis E. H. Tay
Wei Liu
Yonghong Tian
Yuan Li
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2
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Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
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2019
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Mikaela Angelina Uy
Quang-Hieu Pham
BinhâSon Hua
Thanh Thi Nguyen
Sai-Kit Yeung
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2
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Masked Discrimination for Self-supervised Learning on Point Clouds
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2022
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Haotian Liu
Mu Cai
Yong Jae Lee
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2
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Masked Autoencoders Are Scalable Vision Learners
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2022
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Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr DollĂĄr
Ross Girshick
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2
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Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
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2023
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Zekun Qi
Runpei Dong
Guofan Fan
Zheng Ge
Xiangyu Zhang
Kaisheng Ma
Yi Li
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2
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A Simple Framework for Contrastive Learning of Visual Representations
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2020
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Ting Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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2020
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Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
Thomas Unterthiner
Mostafa Dehghani
Matthias Minderer
Georg Heigold
Sylvain Gelly
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2
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Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
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2021
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Ankit Goyal
Hei Law
Bowei Liu
Alejandro Newell
Jia Deng
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2
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data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
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2022
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Alexei Baevski
Wei-Ning Hsu
Qiantong Xu
Arun Babu
Jiatao Gu
Michael Auli
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2
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Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
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2022
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Xu Ma
Can Qin
Haoxuan You
Haoxi Ran
Yun Fu
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2
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PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
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2020
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Saining Xie
Jiatao Gu
Demi Guo
Charles R. Qi
Leonidas Guibas
Or Litany
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2
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Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
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2022
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Renrui Zhang
Z. J. Guo
Peng Gao
Rongyao Fang
Bin Zhao
Dong Wang
Yu Qiao
Hongsheng Li
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2
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End-to-End Human Pose and Mesh Reconstruction with Transformers
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2021
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Kevin Lin
Lijuan Wang
Zicheng Liu
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2
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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2017
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Raffaelli Charles
Hao Su
Kaichun Mo
Leonidas Guibas
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2
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P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
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2022
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Ziyi Wang
Xumin Yu
Yongming Rao
Jie Zhou
Jiwen Lu
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2
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3D ShapeNets: A deep representation for volumetric shapes
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2015
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Zhirong Wu
Shuran Song
Aditya Khosla
Fisher Yu
Linguang Zhang
Xiaoou Tang
Jianxiong Xiao
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2
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ShapeNet: An Information-Rich 3D Model Repository
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2015
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Anne Lynn S. Chang
Thomas Funkhouser
Leonidas Guibas
Pat Hanrahan
Qixing Huang
Zimo Li
Silvio Savarese
Manolis Savva
Shuran Song
Hao Su
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2
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A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond
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2022
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Chaoning Zhang
Chenshuang Zhang
Junha Song
John Seon Keun Yi
Kang Zhang
In So Kweon
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1
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On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey
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2022
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Xu Guo
Han Yu
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1
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Conditional Prompt Learning for Vision-Language Models
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2022
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Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
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1
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PointCLIP: Point Cloud Understanding by CLIP
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2022
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Renrui Zhang
Ziyu Guo
Wei Zhang
Kunchang Li
Xupeng Miao
Bin Cui
Yu Qiao
Peng Gao
Hongsheng Li
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1
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Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning
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2022
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Yabin Zhang
Jiehong Lin
Ruihuang Li
Kui Jia
Lei Zhang
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1
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Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
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2023
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Yaohua Zha
Jinpeng Wang
Tao Dai
Bin Chen
Zhi Wang
ShuâTao Xia
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1
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Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding
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2023
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Taolin Zhang
Sunan He
Dai Tao
Bin Chen
Zhi Wang
ShuâTao Xia
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1
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Attention Is All You Need
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2017
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Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Ĺukasz Kaiser
Illia Polosukhin
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1
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Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training
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2023
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Ziyu Guo
Renrui Zhang
Longtian Qiu
Xianzhi Li
PhengâAnn Heng
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1
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PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection
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2023
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Anthony Chen
Kevin Zhang
Renrui Zhang
Zihan Wang
Yuheng Lu
Yandong Guo
Shanghang Zhang
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1
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Learning 3D Representations from 2D Pre-Trained Models via Image-to-Point Masked Autoencoders
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2023
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Renrui Zhang
Liuhui Wang
Yu Qiao
Peng Gao
Hongsheng Li
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1
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GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training
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2023
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Xiao Yu Tian
Haoxi Ran
Yue Wang
Hang Zhao
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1
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GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds
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2023
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Honghui Yang
Tong He
Jiaheng Liu
Hua Chen
Boxi Wu
Binbin Lin
Xiaofei He
Wanli Ouyang
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1
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Imperceptible and Robust Backdoor Attack in 3D Point Cloud
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2023
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Kuofeng Gao
Jiawang Bai
Baoyuan Wu
Mengxi Ya
ShuâTao Xia
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1
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CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-Training
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2023
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Tianyu Huang
Bowen Dong
Yunhan Yang
Xiaoshui Huang
Rynson W. H. Lau
Wanli Ouyang
Wangmeng Zuo
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1
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Language Models are Few-Shot Learners
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2020
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T. B. Brown
Benjamin F. Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
Prafulla Dhariwal
Arvind Neelakantan
Pranav Shyam
Girish Sastry
Amanda Askell
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1
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A Point Set Generation Network for 3D Object Reconstruction from a Single Image
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2017
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Haoqiang Fan
Hao Su
Leonidas Guibas
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1
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Unsupervised Representation Learning by Predicting Image Rotations
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2018
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Spyros Gidaris
Praveer Singh
Nikos Komodakis
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1
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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2018
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Jacob Devlin
MingâWei Chang
Kenton Lee
Kristina Toutanova
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1
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PointConv: Deep Convolutional Networks on 3D Point Clouds
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2019
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Wenxuan Wu
Zhongang Qi
Fuxin Li
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1
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Relation-Shape Convolutional Neural Network for Point Cloud Analysis
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2019
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Yongcheng Liu
Bin Fan
Shiming Xiang
Chunhong Pan
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1
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Dense-Resolution Network for Point Cloud Classification and Segmentation
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2021
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Shi Qiu
Saeed Anwar
Nick Barnes
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1
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DeepGCNs: Making GCNs Go as Deep as CNNs
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2021
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Guohao Li
Matthias Mueller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali Thabet
Bernard Ghanem
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1
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PCT: Point cloud transformer
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2021
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Meng-Hao Guo
Jun-Xiong Cai
Zheng-Ning Liu
TaiâJiang Mu
Ralph R. Martin
ShiâMin Hu
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1
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PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis
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2021
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Silin Cheng
Xiwu Chen
Xinwei He
Zhe Liu
Xiang Bai
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1
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Geometric Back-Projection Network for Point Cloud Classification
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2021
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Shi Qiu
Saeed Anwar
Nick Barnes
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1
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Learning Transferable Visual Models From Natural Language Supervision
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2021
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Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya Ramesh
Gabriel Goh
Sandhini Agarwal
Girish Sastry
Amanda Askell
Pamela Mishkin
Jack Clark
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1
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Making Pre-trained Language Models Better Few-shot Learners
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2021
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Tianyu Gao
Adam Fisch
Danqi Chen
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1
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