Unsupervised Multi-Task Feature Learning on Point Clouds

Type: Preprint

Publication Date: 2019-10-18

Citations: 10

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Locations

  • arXiv (Cornell University) - View

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Citing (61)

Action Title Year Authors
+ Modern hierarchical, agglomerative clustering algorithms 2011 Daniel MĂźllner
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
+ 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
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
+ PDF Chat Large Margin Multi-Modal Multi-Task Feature Extraction for Image Classification 2015 Yong Luo
Yonggang Wen
Dacheng Tao
Jie Gui
Chao Xu
+ PDF Chat Unsupervised Learning of Visual Representations Using Videos 2015 Xiaolong Wang
Abhinav Gupta
+ PDF Chat Instance-Aware Semantic Segmentation via Multi-task Network Cascades 2016 Jifeng Dai
Kaiming He
Jian Sun
+ PDF Chat Deep clustering: Discriminative embeddings for segmentation and separation 2016 John R. Hershey
Zhuo Chen
Jonathan Le Roux
Shinji Watanabe
+ PDF Chat Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles 2016 Mehdi Noroozi
Paolo Favaro
+ PDF Chat VConv-DAE: Deep Volumetric Shape Learning Without Object Labels 2016 Abhishek Sharma
Oliver Grau
Mario Fritz
+ Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering 2016 Bo Yang
Xiao Fu
Nicholas D. Sidiropoulos
Mingyi Hong
+ Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling 2016 Jiajun Wu
Chengkai Zhang
Tianfan Xue
William T. Freeman
Joshua B. Tenenbaum
+ PDF Chat PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2017 Raffaelli Charles
Hao Su
Kaichun Mo
Leonidas Guibas
+ PDF Chat A Point Set Generation Network for 3D Object Reconstruction from a Single Image 2017 Haoqiang Fan
Hao Su
Leonidas Guibas
+ PDF Chat Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization 2017 Kamran Ghasedi Dizaji
Amirhossein Herandi
Cheng Deng
Weidong Cai
Heng Huang
+ A Survey on Multi-Task Learning 2017 Yu Zhang
Qiang Yang
+ Clustering with Deep Learning: Taxonomy and New Methods 2018 Elie Aljalbout
Vladimir Golkov
Yawar Siddiqui
Daniel Cremers
+ Dynamic Graph CNN for Learning on Point Clouds 2018 Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
Michael M. Bronstein
Justin Solomon
+ PDF Chat SPLATNet: Sparse Lattice Networks for Point Cloud Processing 2018 Hang Su
Varun Jampani
Deqing Sun
Subhransu Maji
Evangelos Kalogerakis
Ming–Hsuan Yang
Jan Kautz
+ PDF Chat FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis 2018 Nitika Verma
Edmond Boyer
Jakob Verbeek
+ PDF Chat Pointwise Convolutional Neural Networks 2018 Binh‐Son Hua
Minh-Khoi Tran
Sai-Kit Yeung
+ PDF Chat 3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds Using Local and Global Contextual Cues 2019 Wei Zeng
Theo Gevers
+ PDF Chat FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation 2018 Yaoqing Yang
Chen Feng
Yiru Shen
Dong Tian
+ PDF Chat Self-Supervised Feature Learning by Learning to Spot Artifacts 2018 Simon Jenni
Paolo Favaro
+ Spherical Convolutional Neural Network for 3D Point Clouds 2018 Huan Lei
Naveed Akhtar
Ajmal Mian
+ RGCNN: Regularized Graph CNN for Point Cloud Segmentation 2018 Gusi Te
Wei Hu
Zongming Guo
Amin Zheng
+ PDF Chat Multiresolution Tree Networks for 3D Point Cloud Processing 2018 Matheus Gadelha
Rui Wang
Subhransu Maji
+ PDF Chat Deep Clustering for Unsupervised Learning of Visual Features 2018 Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
+ PDF Chat EC-Net: An Edge-Aware Point Set Consolidation Network 2018 Lequan Yu
Xianzhi Li
Chi‐Wing Fu
Daniel Cohen‐Or
Pheng‐Ann Heng
+ PDF Chat Fully-Convolutional Point Networks for Large-Scale Point Clouds 2018 Dario Rethage
Johanna Wald
JĂźrgen Sturm
Nassir Navab
Federico Tombari
+ PDF Chat PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors 2018 Haowen Deng
Tolga Birdal
Slobodan Ilić
+ PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention 2018 Yongbin Sun
Yue Wang
Ziwei Liu
Joshua Siegel
Sanjay E. Sarma
+ Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network 2018 Xinhai Liu
Zhizhong Han
Yu-Shen Liu
Matthias Zwicker
+ PDF Chat Volumetric and Multi-view CNNs for Object Classification on 3D Data 2016 Charles R. Qi
Hao Su
Matthias NieBner
Angela Dai
Mengyuan Yan
Leonidas Guibas
+ PDF Chat Scalable Surface Reconstruction from Point Clouds with Extreme Scale and Density Diversity 2017 Christian Mostegel
Rudolf Prettenthaler
Friedrich Fraundorfer
Horst Bischof
+ PDF Chat Density Adaptive Point Set Registration 2018 Felix Järemo Lawin
Martin Danelljan
Fahad Shahbaz Khan
Per-Erik ForssĂŠn
Michael Felsberg
+ PDF Chat Joint Unsupervised Learning of Deep Representations and Image Clusters 2016 Jianwei Yang
Devi Parikh
Dhruv Batra
+ PDF Chat Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models 2017 Roman Klokov
Victor Lempitsky
+ PDF Chat Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling 2018 Yiru Shen
Chen Feng
Yaoqing Yang
Dong Tian
+ PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 2017 Charles R. Qi
Yi Li
Hao Su
Leonidas Guibas