Yaohua Zha

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