Nuttapong Chentanez

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All published works

Action	Title	Year	Authors
+ PDF Chat	Non-smooth Newton Methods for Deformable Multi-body Dynamics	2019	Miles Macklin Kenny Erleben Matthias Müller Nuttapong Chentanez Stefan Jeschke Viktor Makoviychuk
+	Small steps in physics simulation	2019	Miles Macklin Kier Storey Michelle Lu Pierre Terdiman Nuttapong Chentanez Stefan Jeschke Matthias Müller
+	Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds.	2019	Lukas Prantl Nuttapong Chentanez Stefan Jeschke und Nils Thuerey
+	Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds	2019	Lukas Prantl Nuttapong Chentanez Stefan Jeschke Nils Thuerey
+	GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning	2018	Jacky Liang Viktor Makoviychuk Ankur Handa Nuttapong Chentanez Miles Macklin Dieter Fox
+	GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning	2018	Jacky Liang Viktor Makoviychuk Ankur Handa Nuttapong Chentanez Miles Macklin Dieter Fox

Common Coauthors

Coauthor	Papers Together
Miles Macklin	4
Stefan Jeschke	3
Viktor Makoviychuk	3
Dieter Fox	2
Ankur Handa	2
Lukas Prantl	2
Jacky Liang	2
Matthias Müller	2
Kenny Erleben	1
Stefan Jeschke und Nils Thuerey	1
Pierre Terdiman	1
Nils Thuerey	1
Michelle Lu	1
Kier Storey	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention	2018	Yongbin Sun Yue Wang Ziwei Liu Joshua Siegel Sanjay E. Sarma	2
+	PointConv: Deep Convolutional Networks on 3D Point Clouds	2018	Wenxuan Wu Zhongang Qi Fuxin Li	2
+	Emergence of Locomotion Behaviours in Rich Environments	2017	Nicolas Heess Dhruva Tb Sriram Srinivasan Jay Lemmon Josh Merel Greg Wayne Yuval Tassa Tom Erez Ziyu Wang S. M. Ali Eslami	2
+	URSA: A Neural Network for Unordered Point Clouds Using Constellations	2018	Mark B. Skouson Brett J. Borghetti Robert C. Leishman	2
+	Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds)	2018	Fabian Groh Patrick Wieschollek Hendrik P. A. Lensch	2
+ 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	2
+	Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds	2018	Nathaniel Thomas Tess Smidt Steven Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick Riley	2
+ PDF Chat	PCPN<scp>et</scp> Learning Local Shape Properties from Raw Point Clouds	2018	Paul Guerrero Yanir Kleiman Maks Ovsjanikov Niloy J. Mitra	2
+	Deep Learning with Sets and Point Clouds	2016	Siamak Ravanbakhsh Jeff Schneider Barnabás Póczos	2
+ PDF Chat	SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation	2018	Weiyue Wang Ronald Yu Qiangui Huang Ulrich Neumann	2
+	Complex-YOLO: Real-time 3D Object Detection on Point Clouds	2018	Martín Simón Stefan Milz Karl Amende Horst–Michael Groß	2
+ PDF Chat	Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models	2017	Roman Klokov Victor Lempitsky	2
+ PDF Chat	PPFNet: Global Context Aware Local Features for Robust 3D Point Matching	2018	Haowen Deng Tolga Birdal Slobodan Ilić	2
+	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space	2017	Charles R. Qi Yi Li Hao Su Leonidas Guibas	2
+ PDF Chat	SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters	2018	Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao	2
+ PDF Chat	Pointwise Convolutional Neural Networks	2018	Binh‐Son Hua Minh-Khoi Tran Sai-Kit Yeung	2
+	Large-Scale Point Cloud Semantic Segmentation with Superpoint Graphs	2018	Loïc Landrieu Martin Simonovsky	2
+ PDF Chat	PU-Net: Point Cloud Upsampling Network	2018	Lequan Yu Xianzhi Li Chi‐Wing Fu Daniel Cohen‐Or Pheng‐Ann Heng	2
+ PDF Chat	SO-Net: Self-Organizing Network for Point Cloud Analysis	2018	Jiaxin Li Ben M. Chen Gim Hee Lee	2
+ PDF Chat	VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection	2018	Yin Zhou Oncel Tuzel	2
+ PDF Chat	FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation	2018	Yaoqing Yang Chen Feng Yiru Shen Dong Tian	2
+	Point convolutional neural networks by extension operators	2018	Matan Atzmon Haggai Maron Yaron Lipman	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	Joint Embedding of 3D Scan and CAD Objects	2019	Manuel Dahnert Angela Dai Leonidas Guibas Matthias Nießner	2
+ PDF Chat	P2P-NET	2018	Kangxue Yin Hui Huang Daniel Cohen‐Or Hao Zhang	2
+ PDF Chat	Monte Carlo convolution for learning on non-uniformly sampled point clouds	2018	Pedro Hermosilla Tobias Ritschel Pere‐Pau Vázquez Àlvar Vinacua Timo Ropinski	2
+ PDF Chat	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation	2017	Raffaelli Charles Hao Su Kaichun Mo Leonidas Guibas	2
+	Spherical Convolutional Neural Network for 3D Point Clouds	2018	Huan Lei Naveed Akhtar Ajmal Mian	2
+	Learning Scene Flow in 3D Point Clouds.	2018	Xingyu Liu Charles R. Qi Leonidas Guibas	2
+ 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	2
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	2
+ PDF Chat	A Graph-CNN for 3D Point Cloud Classification	2018	Yingxue Zhang Michael Rabbat	2
+	Evolution Strategies as a Scalable Alternative to Reinforcement Learning	2017	Tim Salimans Jonathan Ho Xi Chen Ilya Sutskever	1
+	Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics	2017	Jeffrey Mahler Jacky Liang Sherdil Niyaz Michael Laskey Richard Doan Xinyu Liu Juan Pablo Aparicio Ken Goldberg	1
+	Learning from Demonstrations for Real World Reinforcement Learning	2017	Todd Hester Matej Vecerík Olivier Pietquin Marc Lanctot Tom Schaul Bilal Piot Andrew Sendonaris Gabriel Dulac-Arnold Ian Osband John Agapiou	1
+	CG Versus MINRES: An Empirical Comparison	2012	David Chin-Lung Fong Michael A. Saunders	1
+	Self-Normalizing Neural Networks	2017	Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter	1
+	Representation Learning and Adversarial Generation of 3D Point Clouds	2017	Panos Achlioptas Olga Diamanti Ioannis Mitliagkas Leonidas Guibas	1
+	Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations	2017	Aravind Rajeswaran Vikash Kumar Abhishek Gupta John Schulman Emanuel Todorov Sergey Levine	1
+	Sim2Real View Invariant Visual Servoing by Recurrent Control	2017	Fereshteh Sadeghi Alexander Toshev Eric Jang Sergey Levine	1
+	Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning	2017	Felipe Petroski Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune	1
+	Ray RLLib: A Composable and Scalable Reinforcement Learning Library	2017	Eric Liang Richard Liaw Robert Nishihara Philipp Moritz Roy Fox Joseph E. Gonzalez Ken Goldberg Ion Stoica	1
+	DeepMind Control Suite	2018	Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li Diego de Las Casas David Budden Abbas Abdolmaleki Josh Merel Andrew Lefrancq	1
+	Stabilizing Integrators for Real-Time Physics	2018	Dimitar Dinev Tiantian Liu Ladislav Kavan	1
+	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures	2018	Lasse Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymir Mnih Tom Ward Yotam Doron Vlad Firoiu Tim Harley Iain Dunning	1
+	Distributed Prioritized Experience Replay	2018	Dan Horgan John Quan David Budden Gabriel Barth-Maron Matteo Hessel Hado van Hasselt David Silver	1
+	Horovod: fast and easy distributed deep learning in TensorFlow	2018	Alexander Sergeev Mike Del Balso	1
+	Simple random search provides a competitive approach to reinforcement learning	2018	Horia Mania Aurelia Guy Benjamin Recht	1
+	Accelerated Methods for Deep Reinforcement Learning	2018	Adam Stooke Pieter Abbeel	1
+	Sim-to-Real: Learning Agile Locomotion For Quadruped Robots	2018	Jie Tan Tingnan Zhang Erwin Coumans Atıl Işçen Yunfei Bai Danijar Hafner Steven Bohez Vincent Vanhoucke	1