Yao Lu

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	RoboVQA: Multimodal Long-Horizon Reasoning for Robotics	2024	Pierre Sermanet Tianli Ding Jeffrey Zhao Fei Xia Debidatta Dwibedi Keerthana Gopalakrishnan Christine W. Chan Gabriel Dulac-Arnold Sharath Maddineni Nikhil J Joshi
+ PDF Chat	How Does Contrastive Learning Organize Images?	2024	Yunzhe Zhang Yao Lu Qi Xuan
+ PDF Chat	NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results	2023	Yingqian Wang Longguang Wang Zhengyu Liang Jungang Yang Radu Timofte Yulan Guo Kai Jin Zeqiang Wei Angulia Yang Sha Guo
+ PDF Chat	Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization	2023	Thomas Lew Sumeet Singh Mario Prats Jeffrey Bingham Jonathan Weisz Benjie Holson Xiaohan Zhang Vikas Sindhwani Yao Lu Fei Xia
+	SR-init: An Interpretable Layer Pruning Method	2023	Hui Tang Yao Lu Qi Xuan
+	Head-Tail Cooperative Learning Network for Unbiased Scene Graph Generation	2023	Lei Wang Zejian Yuan Yao Lu Badong Chen
+	Open X-Embodiment: Robotic Learning Datasets and RT-X Models	2023	Open X-Embodiment Collaboration Abhishek Padalkar Acorn Pooley Ajinkya Jain Alex Bewley Alex Herzog Alex Irpan Alexander Khazatsky Anant Rai Anikait Singh
+ PDF Chat	Understanding the Dynamics of DNNs Using Graph Modularity	2022	Yao Lu Yang Wen Yunzhe Zhang Zuohui Chen Jinyin Chen Qi Xuan Zhen Wang Xiaoniu Yang
+	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
+	Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning.	2021	Dhruv Shah Peng Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter
+	CrossFormer: A Versatile Vision Transformer Based on Cross-scale Attention	2021	Wenxiao Wang Yao Lu Long Chen Deng Cai Xiaofei He Wei Liu
+ PDF Chat	Taskology: Utilizing Task Relations at Scale	2021	Yao Lu Sören Pirk Jan Dlabal Anthony Brohan Ankita Pasad Chen Zhao Vincent Casser Anelia Angelova Ariel Gordon
+ PDF Chat	Visionary: Vision architecture discovery for robot learning	2021	Iretiayo Akinola Anelia Angelova Yao Lu Yevgen Chebotar Dmitry Kalashnikov Jacob Varley Julian Ibarz Michael S. Ryoo
+	Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills	2021	Yevgen Chebotar Karol Hausman Yao Lu Ted Xiao Dmitry Kalashnikov Jake Varley Alex Irpan Benjamin Eysenbach Ryan Julian Chelsea Finn
+	Visionary: Vision architecture discovery for robot learning	2021	Iretiayo Akinola Anelia Angelova Yao Lu Yevgen Chebotar Dmitry Kalashnikov Jacob Varley Julian Ibarz Michael S. Ryoo
+	ISTR: End-to-End Instance Segmentation with Transformers	2021	Jie Hu Liujuan Cao Yao Lu ShengChuan Zhang Yan Wang Ke Li Feiyue Huang Ling Shao Rongrong Ji
+	Understanding the Dynamics of DNNs Using Graph Modularity	2021	Yao Lu Yang Wen Yunzhe Zhang Jinhuan Wang Shengbo Gong Zhuangzhi Chen Zuohui Chen Qi Xuan Xiaoniu Yang
+ PDF Chat	Instance significance guided multiple instance boosting for robust visual tracking	2016	Jinwu Liu Yao Lu Tianfei Zhou
+ PDF Chat	A fast projected fixed-point algorithm for large graph matching	2016	Yao Lu Kaizhu Huang Cheng‐Lin Liu
+	Space-based Sensor Online Calibration Based on Celestial Observations for Tracking Ballistic Missile Target	2014	Jianguo Yu Mei Liu Jiu-hong Bao Yao Lu

Common Coauthors

Coauthor	Papers Together
Yevgen Chebotar	5
Dmitry Kalashnikov	5
Sergey Levine	4
Karol Hausman	4
Ted Xiao	3
Qi Xuan	3
Anelia Angelova	3
Alex Irpan	3
Brian Ichter	3
Christine W. Chan	2
Dhruv Shah	2
Tianli Ding	2
Jeffrey Bingham	2
Jacob Varley	2
Iretiayo Akinola	2
Yang Wen	2
Chelsea Finn	2
Zuohui Chen	2
Nikhil J Joshi	2
Michael S. Ryoo	2
Yunzhe Zhang	2
Fei Xia	2
Anthony Brohan	2
Julian Ibarz	2
Pannag Sanketi	2
Ryan Julian	2
Keerthana Gopalakrishnan	2
Xiaoniu Yang	2
Pierre Sermanet	2
Igor Mordatch	1
Vincent Vanhoucke	1
Peng Xu	1
Youfang Lin	1
Kai Jin	1
Shuran Song	1
Antonin Raffin	1
João Silvério	1
Shunzhou Wang	1
Yueh-Hua Wu	1
Shubham Sonawani	1
Sichun Xu	1
Jad Abou-Chakra	1
Jitendra Malik	1
Alexander Khazatsky	1
Yunzhe Zhang	1
Cewu Lu	1
Wei Zhan	1
Pete Florence	1
Jeannette Bohg	1
Nur Muhammad Mahi Shafiullah	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	6
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	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
+	MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale	2021	Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman	3
+ PDF Chat	Deep visual foresight for planning robot motion	2017	Chelsea Finn Sergey Levine	3
+	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	3
+ PDF Chat	Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars	2018	Ana I. Maqueda Antonio Loquercio Guillermo Gallego Narciso Garcı́a Davide Scaramuzza	3
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	3
+	Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems	2020	Sergey Levine Aviral Kumar George Tucker Justin Fu	3
+ PDF Chat	On Network Science and Mutual Information for Explaining Deep Neural Networks	2020	Brian M. Davis Umang Bhatt Kartikeya Bhardwaj Radu Mărculescu José M. F. Moura	2
+	Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction	2019	Aviral Kumar Justin Fu Matthew Soh George Tucker Sergey Levine	2
+ PDF Chat	Improving Data Efficiency of Self-supervised Learning for Robotic Grasping	2019	Lars Berscheid Thomas Rühr Torsten Kröger	2
+	DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration	2019	Wenxiao Wang Shuai Zhao Minghao Chen Jinming Hu Deng Cai Haifeng Liu	2
+ PDF Chat	TextNAS: A Neural Architecture Search Space Tailored for Text Representation	2020	Yujing Wang Yaming Yang Yiren Chen Jing Bai Ce Zhang Guinan Su Xiaoyu Kou Yunhai Tong Mao Yang Lidong Zhou	2
+ PDF Chat	VideoBERT: A Joint Model for Video and Language Representation Learning	2019	Chen Sun Austin Myers Carl Vondrick Kevin Murphy Cordelia Schmid	2
+	X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions	2020	Michael Danielczuk Anelia Angelova Vincent Vanhoucke Ken Goldberg	2
+ PDF Chat	High precision grasp pose detection in dense clutter	2016	Marcus Gualtieri Andreas ten Pas Kate Saenko Robert W. Platt	2
+	PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes	2018	Xiang Yu Tanner Schmidt Venkatraman Narayanan Dieter Fox	2
+ PDF Chat	Autonomously learning to visually detect where manipulation will succeed	2013	Hai Nguyen Charles C. Kemp	2
+ PDF Chat	Building machines that learn and think like people	2016	Brenden M. Lake Tomer Ullman Joshua B. Tenenbaum Samuel J. Gershman	2
+ PDF Chat	Understanding deep image representations by inverting them	2015	Aravindh Mahendran Andrea Vedaldi	2
+	Modularity and community structure in networks	2006	M. E. J. Newman	2
+	Regularized Evolution for Image Classifier Architecture Search	2019	Esteban Real Alok Aggarwal Yanping Huang Quoc V. Le	2
+ PDF Chat	Understanding community structure in layered neural networks	2019	Chihiro Watanabe Kaoru Hiramatsu Kunio Kashino	2
+ PDF Chat	Defining and evaluating network communities based on ground-truth	2013	Jaewon Yang Jure Leskovec	2
+	Search on the Replay Buffer: Bridging Planning and Reinforcement Learning	2019	Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine	2
+ PDF Chat	Evolving Space-Time Neural Architectures for Videos	2019	AJ Piergiovanni Anelia Angelova Alexander Toshev Michael S. Ryoo	2
+ PDF Chat	HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips	2019	Antoine Miech Dimitri Zhukov Jean-Baptiste Alayrac Makarand Tapaswi Ivan Laptev Josef Šivic	2
+	AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures	2020	Michael S. Ryoo AJ Piergiovanni Mingxing Tan Anelia Angelova	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	Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter	2019	Michael Danielczuk Andrey Kurenkov Ashwin Balakrishna Matthew Matl David Wang Roberto Martin-Martin Animesh Garg Silvio Savarese Ken Goldberg	2
+ PDF Chat	Real-time grasp detection using convolutional neural networks	2015	Joseph Redmon Anelia Angelova	2
+	Safe Policy Improvement with Baseline Bootstrapping	2017	Kimia Nadjahi Romain Laroche Rémi Tachet des Combes	2
+	DARTS: Differentiable Architecture Search	2018	Hanxiao Liu Karen Simonyan Yiming Yang	2
+	Learning Visual Feature Spaces for Robotic Manipulation with Deep Spatial Autoencoders.	2015	Chelsea Finn Xin Tan Yan Duan Trevor Darrell Sergey Levine Pieter Abbeel	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 Pablo Aparicio Ken Goldberg	2
+	Model Predictive Path Integral Control using Covariance Variable Importance Sampling	2015	Grady Williams Andrew Aldrich Evangelos A. Theodorou	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	Modular representation of layered neural networks	2017	Chihiro Watanabe Kaoru Hiramatsu Kunio Kashino	2
+ PDF Chat	Multi-task Self-Supervised Visual Learning	2017	Carl Doersch Andrew Zisserman	2
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	2
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	2
+ PDF Chat	The emergent properties of a dolphin social network	2003	David Lusseau	2
+ PDF Chat	Finding and evaluating community structure in networks	2004	Michelle G. Newman Michelle Girvan	2
+ PDF Chat	Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours	2016	Lerrel Pinto Abhinav Gupta	2
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	2
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	2
+	Visual Reinforcement Learning with Imagined Goals	2018	Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine	2
+ PDF Chat	Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks	2019	Michelle A. Lee Yuke Zhu Krishnan Srinivasan Parth Shah Silvio Savarese Li Fei-Fei Animesh Garg Jeannette Bohg	2
+ PDF Chat	Deep learning for detecting robotic grasps	2015	Ian Lenz Honglak Lee Ashutosh Saxena	2