Ninghua Yang

Follow

Generating author description...

Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ 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
1
+ PDF Chat Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration 2015 Jiaolong Yang
Hongdong Li
Dylan Campbell
Yunde Jia
1
+ SGDR: Stochastic Gradient Descent with Warm Restarts 2016 Ilya Loshchilov
Frank Hutter
1
+ Categorical Reparameterization with Gumbel-Softmax 2016 Eric Jang
Shixiang Gu
Ben Poole
1
+ PDF Chat PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2017 Raffaelli Charles
Hao Su
Kaichun Mo
Leonidas Guibas
1
+ PDF Chat SegICP: Integrated deep semantic segmentation and pose estimation 2017 Jay Ming Wong
Vincent Kee
Tiffany Le
Syler Wagner
Gian-Luca Mariottini
Abraham R. Schneider
Lei Hamilton
Rahul Chipalkatty
Mitchell Hebert
David Johnson
1
+ PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 2017 Charles R. Qi
Li Yi
Hao Su
Leonidas Guibas
1
+ Group Normalization 2018 Yuxin Wu
Kaiming He
1
+ PDF Chat Relation-Shape Convolutional Neural Network for Point Cloud Analysis 2019 Yongcheng Liu
Bin Fan
Shiming Xiang
Chunhong Pan
1
+ PCRNet: Point Cloud Registration Network using PointNet Encoding. 2019 Vinit Sarode
Xue-Qian Li
Hunter Goforth
Yasuhiro Aoki
Rangaprasad Arun Srivatsan
Simon Lucey
Howie Choset
1
+ PyTorch: An Imperative Style, High-Performance Deep Learning Library 2019 Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
1
+ 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
1
+ PRNet: Self-Supervised Learning for Partial-to-Partial Registration 2019 Yue Wang
Justin Solomon
1
+ PDF Chat Deep Closest Point: Learning Representations for Point Cloud Registration 2019 Yue Wang
Justin Solomon
1
+ PDF Chat KPConv: Flexible and Deformable Convolution for Point Clouds 2019 Hugues Thomas
Charles R. Qi
Jean‐Emmanuel Deschaud
Beatriz Marcotegui
François Goulette
Leonidas Guibas
1
+ PDF Chat RPM-Net: Robust Point Matching Using Learned Features 2020 Zi Jian Yew
Gim Hee Lee
1
+ PDF Chat D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features 2020 Xuyang Bai
Zixin Luo
Lei Zhou
Hongbo Fu
Long Quan
Chiew‐Lan Tai
1
+ Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration 2019 Jiahao Li
Changhao Zhang
Ziyao Xu
Hangning Zhou
Chi Zhang
1
+ PDF Chat DeepGMR: Learning Latent Gaussian Mixture Models for Registration 2020 Wentao Yuan
Benjamin Eckart
Kihwan Kim
Varun Jampani
Dieter Fox
Jan Kautz
1
+ PDF Chat Robust and Precise Vehicle Localization Based on Multi-Sensor Fusion in Diverse City Scenes 2018 Guowei Wan
Xiaolong Yang
Renlan Cai
Hao Li
Yao Zhou
Hao Wang
Shiyu Song
1
+ PDF Chat End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences 2020 Huanshu Wei
Zhijian Qiao
Zhe Liu
Chuanzhe Suo
Peng Yin
Yueling Shen
Haoang Li
Hesheng Wang
1
+ PDF Chat OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration 2021 Hao Xu
Shuaicheng Liu
Guangfu Wang
Guanghui Liu
Bing Zeng
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 Robust Point Cloud Registration Framework Based on Deep Graph Matching 2021 Kexue Fu
Shaolei Liu
Xiaoyuan Luo
Manning Wang
1
+ PDF Chat SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration 2021 Sheng Ao
Qingyong Hu
Bo Yang
Andrew Markham
Yulan Guo
1
+ PDF Chat PREDATOR: Registration of 3D Point Clouds with Low Overlap 2021 Shengyu Huang
Žan Gojčič
Mikhail Usvyatsov
Andreas Wieser
Konrad Schindler
1