Mengyuan Yan

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All published works

Action	Title	Year	Authors
+	Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators	2023	Alexander Herzog Kanishka Rao Karol Hausman Yao Lü Paul Wohlhart Mengyuan Yan Jessica Lin Montserrat Gonzalez Arenas Ted Xiao Daniel Kappler
+	Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators	2023	Alexander Herzog Kanishka Rao Karol Hausman Yao Lu Paul Wohlhart Mengyuan Yan Jessica Lin Montserrat Gonzalez Arenas Ted Xiao Daniel Kappler
+	Do As I Can, Not As I Say: Grounding Language in Robotic Affordances	2022	Michael J. Ahn Anthony Brohan Noah Brown Yevgen Chebotar Omar Andrés Carmona Cortes Byron David Chelsea Finn Keerthana Gopalakrishnan Karol Hausman Alex Herzog
+	Jump-Start Reinforcement Learning	2022	Ikechukwu Uchendu Ted Xiao Yao Lu Banghua Zhu Mengyuan Yan Joséphine Simon Matthew Bennice Chuyuan Fu Cong Ma Jiantao Jiao
+	AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale.	2021	Yao Lu Karol Hausman Yevgen Chebotar Mengyuan Yan Eric Jang Alexander Herzog Ted Xiao Alex Irpan Mohi Khansari Dmitry Kalashnikov
+	AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale	2021	Yao Lu Karol Hausman Yevgen Chebotar Mengyuan Yan Eric B. Jang Alexander Herzog Ted Xiao Alex Irpan Mohi Khansari Dmitry Kalashnikov
+ PDF Chat	Learning Topological Motion Primitives for Knot Planning	2020	Mengyuan Yan Gen Li Yilin Zhu Jeannette Bohg
+ PDF Chat	Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects	2020	Mengyuan Yan Yilin Zhu Ning Jin Jeannette Bohg
+	How to Close Sim-Real Gap? Transfer with Segmentation!	2020	Mengyuan Yan Qingyun Sun Iuri Frosio Stephen Tyree Jan Kautz
+	Learning Topological Motion Primitives for Knot Planning	2020	Mengyuan Yan Gen Li Yilin Zhu Jeannette Bohg
+	GRAC: Self-Guided and Self-Regularized Actor-Critic	2020	Lin Shao Yifan You Mengyuan Yan Qingyun Sun Jeannette Bohg
+ PDF Chat	MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences	2019	Xingyu Liu Mengyuan Yan Jeannette Bohg
+ PDF Chat	Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping	2019	Mengyuan Yan Adrian Li Mrinal Kalakrishnan Peter Pástor
+	Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping	2019	Mengyuan Yan Adrian Li Mrinal Kalakrishnan Peter Pástor
+	MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences	2019	Xingyu Liu Mengyuan Yan Jeannette Bohg
+	Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects	2019	Mengyuan Yan Yilin Zhu Ning Jin Jeannette Bohg
+	Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control	2017	Mengyuan Yan Iuri Frosio Stephen Tyree Jan Kautz
+ 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
+	Volumetric and Multi-View CNNs for Object Classification on 3D Data	2016	Charles R. Qi Hao Su Matthias Nießner Angela Dai Mengyuan Yan Leonidas Guibas
+	Volumetric and Multi-View CNNs for Object Classification on 3D Data	2016	Charles R. Qi Hao Su Matthias Nießner Angela Dai Mengyuan Yan Leonidas Guibas
+	3D Reconstruction from Full-view Fisheye Camera	2015	Chuiwen Ma Liang Shi Hanlu Huang Mengyuan Yan

Common Coauthors

Coauthor	Papers Together
Jeannette Bohg	7
Sergey Levine	6
Karol Hausman	6
Ted Xiao	5
Yevgen Chebotar	5
Adrian Li	4
Yao Lu	4
Mrinal Kalakrishnan	4
Yilin Zhu	4
Noah Brown	3
Leonidas Guibas	3
Chuyuan Fu	3
Keerthana Gopalakrishnan	3
Alexander Herzog	3
Jarek Rettinghouse	3
Julian Ibarz	3
Dmitry Kalashnikov	3
Kanishka Rao	3
Daniel W. C. Ho	3
Angela Dai	3
Charles R. Qi	3
Ryan R. Julian	3
Alex Irpan	3
Peter Pastor	3
Matthew Bennice	3
David Do	2
Xingyu Liu	2
Kuang-Huei Lee	2
Sean Kirmani	2
Daniel Kappler	2
Michael Quinlan	2
Jessica Lam	2
Hao Su	2
Qingyun Sun	2
Gen Li	2
Ying Xu	2
Peter Pástor	2
Wenlong Lu	2
Jan Kautz	2
Kim Kleiven	2
Matthias Nießner	2
Paul Wohlhart	2
David Rendleman	2
Iuri Frosio	2
Ning Jin	2
S. Ramesh	2
Stephen Tyree	2
Bob Wei	2
Benjie Holson	2
Yunfei Bai	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Learning Robotic Manipulation through Visual Planning and Acting	2019	Angelina Wang Thanard Kurutach Kara Liu Pieter Abbeel Aviv Tamar	4
+	A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning	2010	Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell	4
+	Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control	2018	Frederik Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine	4
+ PDF Chat	Propagation Networks for Model-Based Control Under Partial Observation	2019	Yunzhu Li Jiajun Wu Jun-Yan Zhu Joshua B. Tenenbaum Antonio Torralba Russ Tedrake	4
+ 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	4
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+	Continuous control with deep reinforcement learning	2015	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	3
+	Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning.	2018	Frederik Ebert Sudeep Dasari Alex X. Lee Sergey Levine Chelsea Finn	3
+	Model-Driven Feedforward Prediction for Manipulation of Deformable Objects	2018	Yinxiao Li Yan Wang Yonghao Yue Danfei Xu Michael Case Shih-Fu Chang Eitan Grinspun Peter K. Allen	2
+	Learning Rich Features from RGB-D Images for Object Detection and Segmentation	2014	Saurabh Gupta Ross Girshick Pablo Arbeláez Jitendra Malik	2
+ PDF Chat	Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation	2018	Tianhao Zhang Zoe McCarthy Owen Jow Dennis Lee Xi Chen Ken Goldberg Pieter Abbeel	2
+	Continuous control with deep reinforcement learning	2016	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	2
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	2
+ PDF Chat	Unsupervised Intuitive Physics from Visual Observations	2019	Sébastien Ehrhardt Áron Monszpart Niloy J. Mitra Andrea Vedaldi	2
+ PDF Chat	Learning Video Representations From Correspondence Proposals	2019	Xingyu Liu Joon‐Young Lee Hailin Jin	2
+ PDF Chat	4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks	2019	Christopher Choy JunYoung Gwak Silvio Savarese	2
+ PDF Chat	Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection	2017	Sergey Levine Peter Pástor Alex Krizhevsky Julian Ibarz Deirdre Quillen	2
+ PDF Chat	FlowNet3D: Learning Scene Flow in 3D Point Clouds	2019	Xingyu Liu Charles R. Qi Leonidas Guibas	2
+	Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning	2018	Frederik Ebert Sudeep Dasari Alex X. Lee Sergey Levine Chelsea Finn	2
+ PDF Chat	Combining self-supervised learning and imitation for vision-based rope manipulation	2017	Ashvin Nair Dian Chen Pulkit Agrawal Phillip Isola Pieter Abbeel Jitendra Malik Sergey Levine	2
+ PDF Chat	Folding deformable objects using predictive simulation and trajectory optimization	2015	Yinxiao Li Yonghao Yue Danfei Xu Eitan Grinspun Peter K. Allen	2
+	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space	2017	Charles R. Qi Yi Li Hao Su Leonidas Guibas	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+ PDF Chat	Appearance-and-Relation Networks for Video Classification	2018	Limin Wang Wei Li Wen Li Luc Van Gool	2
+ PDF Chat	Long-term recurrent convolutional networks for visual recognition and description	2015	Jeff Donahue Lisa Anne Hendricks Sergio Guadarrama Marcus Rohrbach Subhashini Venugopalan Trevor Darrell Kate Saenko	2
+ PDF Chat	VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection	2018	Yin Zhou Oncel Tuzel	2
+	Network In Network	2013	Min Lin Qiang Chen Shuicheng Yan	2
+ PDF Chat	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation	2017	Raffaelli Charles Hao Su Kaichun Mo Leonidas Guibas	2
+ PDF Chat	Describing Textures in the Wild	2014	Mircea Cimpoi Subhransu Maji Iasonas Kokkinos Sammy Mohamed Andrea Vedaldi	2
+ PDF Chat	Frustum PointNets for 3D Object Detection from RGB-D Data	2018	Charles R. Qi Wei Liu Chenxia Wu Hao Su Leonidas Guibas	2
+ PDF Chat	PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud	2019	Shaoshuai Shi Xiaogang Wang Hongsheng Li	2
+	Interaction Networks for Learning about Objects, Relations and Physics	2016	Peter Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu	2
+	GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images	2017	Avi Singh Larry Yang Sergey Levine	2
+	Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards	2017	Matej Vecerík Todd Hester Jonathan Scholz Fumin Wang Olivier Pietquin Bilal Piot Nicolas Heess Thomas Rothörl Thomas Lampe Martin Riedmiller	2
+	Transfer learning from synthetic to real images using variational autoencoders for robotic applications	2017	Tadanobu Inoue Subhajit Chaudhury Giovanni De Magistris Sakyasingha Dasgupta	2
+	Combining learned and analytical models for predicting action effects.	2017	Alina Kloss Stefan Schaal Jeannette Bohg	2
+	Two-Stream Convolutional Networks for Action Recognition in Videos	2014	Karen Simonyan Andrew Zisserman	2
+	Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor	2018	Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine	2
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	2
+ PDF Chat	Learning Spatiotemporal Features with 3D Convolutional Networks	2015	Du Tran Lubomir Bourdev Rob Fergus Lorenzo Torresani Manohar Paluri	2
+	Data-efficient Deep Reinforcement Learning for Dexterous Manipulation	2017	Ivaylo Popov Nicolas Heess Timothy Lillicrap Roland Hafner Gabriel Barth-Maron Matej Vecerík Thomas Lampe Yuval Tassa Tom Erez Martin Riedmiller	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
+ PDF Chat	Geometry-Aware Network for Non-rigid Shape Prediction from a Single View	2018	Albert Pumarola Antonio Agudo Lorenzo Porzi Alberto Sanfeliu Vincent Lepetit Francesc Moreno-Noguer	2
+	Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net	2020	Wenjie Luo Bin Yang Raquel Urtasun	2
+ PDF Chat	Beyond short snippets: Deep networks for video classification	2015	Joe Yue-Hei Ng Matthew Hausknecht Sudheendra Vijayanarasimhan Oriol Vinyals Rajat Monga George Toderici	2
+ PDF Chat	Non-local Neural Networks	2018	Xiaolong Wang Ross Girshick Abhinav Gupta Kaiming He	2
+	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 Aparicio Ojea Ken Goldberg	2
+	QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation	2018	Dmitry Kalashnikov Alex Irpan Peter Pástor Julian Ibarz Alexander Herzog Eric Jang Deirdre Quillen Ethan Holly Mrinal Kalakrishnan Vincent Vanhoucke	2
+ PDF Chat	Convolutional Two-Stream Network Fusion for Video Action Recognition	2016	Christoph Feichtenhofer Axel Pinz Andrew Zisserman	2
+ PDF Chat	Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset	2017	João Carreira Andrew Zisserman	2