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Publications2019-06-10T14:43:36-04:00

Publications

Displaying 8890 Publications
Planning under Uncertainty with Multiple Heuristics
Sung Kyun Kim

PhD Thesis, Tech. Report, CMU-RI-TR-19-26, May, 2019
Monocular Total Capture: Posing Face, Body, and Hands in the Wild
Donglai Xiang

Master's Thesis, Tech. Report, CMU-RI-TR-19-19, May, 2019
Active Learning with Gaussian Processes for High Throughput Phenotyping
Sumit Kumar, Wenhao Luo, George Kantor and Katia Sycara

Conference Paper, International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019), May, 2019
Distributed Environmental Modeling and Adaptive Sampling for Multi-Robot Sensor Coverage
Wenhao Luo, Changjoo Nam, George Kantor and Katia Sycara

Conference Paper, International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019), May, 2019
Deep Reinforcement Learning with Prior Knowledge
Tao Chen

Master's Thesis, Tech. Report, CMU-RI-TR-19-09, May, 2019
A deep learning system for efficient path planning from aerial images
X. Perez and J. Oh

Miscellaneous, CMU Invention Disclosure (filed), May, 2019
A Monte Carlo Framework for Rendering Speckle Statistics in Scattering Media
Chen Bar, Marina Alterman, Ioannis Gkioulekas and Anat Levin

Journal Article, ACM Transactions on Graphics (TOG), May, 2019
Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces
Senthil Purushwalkam, Abhinav Gupta, Danny Kaufman and Bryan Russell

Conference Paper, Seventh International Conference on Learning Representations (ICLR 2019), May, 2019
CATS: Camera-Aided Texture synthesis
T. Sethapakdi and J. McCann

Conference Paper, Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI 2019), May, 2019
Ellipsoidal Connections for Time-Gated Rendering
A. Pediredla, A. Veeraraghavan and I. Gkioulekas

Journal Article, ACM Transactions on Graphics (TOG), May, 2019
Environment Probing Interaction Policies
Wenxuan Zhou, Lerrel Pinto and Abhinav Gupta

Conference Paper, Seventh International Conference on Learning Representations (ICLR 2019), May, 2019
EyeSAM: Graph-based Localization and Mapping of Retinal Vasculature during Intraocular Microsurgery
Shohin Mukherjee, Michael Kaess, Joseph N. Martel and Cameron N. Riviere

Journal Article, Intl. J. of Computer Assisted Radiology and Surgery, JCARS, Vol. 14, No. 5, pp. 819-828, May, 2019
Geppetto: Enabling Semantic Design of Expressive Robot Behaviors
Ruta Desai, Fraser Anderson, Justin Matejka, Stelian Coros, James McCann, George W. Fitzmaurice and Tovi Grossman

Conference Paper, Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI 2019), Paper No. 369, May, 2019
Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
Kenneth Marino, Abhinav Gupta, Rob Fergus and Arthur Szlam

Conference Paper, Seventh International Conference on Learning Representations (ICLR 2019), May, 2019
Learning Exploration Policies for Navigation
Tao Chen, Saurabh Gupta and Abhinav Gupta

Conference Paper, Seventh International Conference on Learning Representations (ICLR 2019), May, 2019
STORM: Super-resolving Transients by OveRsampled Measurements
A. Pediredla, A. Raghuram, S. Narasimhan, I. Gkioulekas and A. Veeraraghavan

Conference Paper, IEEE International Conference on Computational Photography (ICCP 2019), May, 2019
Visual semantic navigation using scene priors
Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta and Roozbeh Mottaghi

Conference Paper, Seventh International Conference on Learning Representations (ICLR 2019), May, 2019
Light Sheet Depth Imaging
Joseph Bartels

PhD Thesis, Tech. Report, CMU-RI-TR-19-05, April, 2019
Analytically modeling unmanaged intersections with microscopic vehicle interactions
Changliu Liu and Mykel J. Kochenderfer

Conference Paper, Intelligent Transportation Systems Conference (ITSC), April, 2019
Through-water Stereo SLAM with Refraction Correction for AUV Localization
Sudharshan Suresh, Eric Westman and Michael Kaess

Journal Article, IEEE Robotics and Automation Letters, RA-L, Vol. 4, No. 2, pp. 692-699, April, 2019
Algorithms for verifying deep neural networks
Changliu Liu, Tomer Arnon, Christopher Lazarus, Clark Barrett and Mykel J. Kochenderfer

Miscellaneous, March, 2019
Simulating emergent properties of human driving behavior using multi-agent RAIL
Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Driggs-Campbell and Mykel J. Kochenderfer

Conference Paper, IEEE International Conference on Robotics and Automation (ICRA), 2019, March, 2019
Bi-Directional Value Learning for Risk-Aware Planning Under Uncertainty
Sung Kyun Kim, Rohan Thakker and Ali-Akbar Agha-Mohammadi

Journal Article, IEEE Robotics and Automation Letters (RA-L), Vol. 4, No. 3, pp. 2493-2500, March, 2019
Commissioning of Robotic Inspection and Automated Analysis System for Assay of Gas Diffusion Piping
Siri Maley, Heather Jones, Warren Whittaker, David Kohanbash, Josh Spisak, Ralph Boirum, Andrew Zhang, J. David Yesso, Russell Riddle and William Whittaker

Conference Paper, Waste Management, March, 2019
Contrasting Exploration in Parameter and Action Space: A Zeroth Order Optimization Perspective
Anirudh Vemula, Wen Sun and J. Andrew Bagnell

Conference Paper, Proceedings of The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), March, 2019
A Planning Pipeline for Large Multi-Agent Missions
Meghan Chandarana, E. L. Meszaros and B. Danette Allen

Conference Paper, Twelfth International Conference on Advances in Computer-Human Interactions (ACHI 2019), pp. 74-79, February, 2019
Enabling robots to communicate their objectives
Sandy H. Huang, David Held, Pieter Abbeel and Anca D. Dragan

Journal Article, Autonomous Robots, Vol. 43, No. 2, February, 2019
Minding the Gaps in a Video Action Analysis Pipeline
Jia Chen, Jiang Liu, Junwei Liang, Ting-Yao Hu, Wei Ke, Wayner Barrios, Dong Huang and Alexander G Hauptmann

Workshop Paper, IEEE Winter Applications of Computer Vision Workshops (WACVW), February, 2019
Sensorless Pose Determination using Randomized Action Sequences
Pragna Mannam, Alexander Volkov, Jr., Robert Paolini, Gregory Chirikjian and Matthew T. Mason

Journal Article, Entropy, Vol. 21, No. 2, pp. 154, February, 2019
FA*ST: Deep Inverse Reinforcement Learning for Generating Cost Maps from Aerial-View Images
Y. Song, X. Perez and J. Oh

Miscellaneous, CMU Invention Disclosure 2019-088, February, 2019
A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance
Lipu Zhou, Yi Yang, Montiel Abello and Michael Kaess

Conference Paper, Proc. AAAI Conference on Artificial Intelligence, AAAI, January, 2019
Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark
Akshat Agarwal, Ryan Hope and Katia Sycara

Workshop Paper, AAAI 2019: Reinforcement Learning in Games Workshop, January, 2019
Vision Augmented Robot Feeding
Alexandre Candeias, Travers Rhodes, Manuel Marques, Joao P Costeira and Manuela Veloso

Workshop Paper, ECCV 2018: Computer Vision – ECCV 2018 Workshops, pp. 50-65, January, 2019
Learning with Clusters
Matthew Barnes

PhD Thesis, Tech. Report, CMU-RI-TR-19-02, January, 2019
Sensing, Measuring, and Modeling Social Signals in Nonverbal Communication
Hanbyul Joo

PhD Thesis, Tech. Report, CMU-RI-TR-19-01, January, 2019
Photo-Sketching: Inferring Contour Drawings from Images
Mengtian Li, Zhe Lin, Radomír Měch, Ersin Yumer and Deva Ramanan

Conference Paper, WACV, January, 2019
Learning Robust Manipulation Strategies with Multimodal State Transition Models and Recovery Heuristics
Austin S. Wang and Oliver Kroemer

Conference Paper, International Conference on Robotics and Automation (ICRA), January, 2019
DPSNet: End-to-end Deep Plane Sweep Stereo
Sunghoon Im, Hae-Gon Jeon, Stephen Lin and In So Kweon

Conference Paper, International Conference on Learning Representations (ICLR), December, 2018
Predictive Control of Constrained Nonlinear Systems
Lauren Lieu

Master's Thesis, Tech. Report, CMU-RI-TR-18-47, December, 2018
A Stable Algebraic Camera Pose Estimation for Minimal Configurations of 2D/3D Point and Line Correspondences
Lipu Zhou, Jiamin Ye and Michael Kaess

Conference Paper, Proc. Asian Conf. on Computer Vision, ACCV, December, 2018
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing
Hanzhang Hu, Debadeepta Dey, Martial Hebert and J. Andrew Bagnell

Conference Paper, AAAI-19: Thirty-third AAAI Conference on Artificial Intelligence, December, 2018