Publications




Planning for a Small Team of Heterogeneous Robots: from Collaborative Exploration to Collaborative Localization
Jonathan Butzke
PhD Thesis, Tech. Report, CMU-RI-TR-18-02, Robotics Institute, Carnegie Mellon University, November, 2017
Deep visual perception for dynamic walking on discrete terrain
Avinash Siravuru, Allan Wang, Quan Nguyen, and Koushil Sreenath
Conference Paper, Proceedings of IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids '17), pp. 418 - 424, November, 2017
Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks
Zackory Erickson, Sonia Chernova, and Charles C. Kemp
Conference Paper, Proceedings of (CoRL) Conference on Robot Learning, pp. 157 - 166, November, 2017
Semi-supervised prediction of comorbid rare conditions using medical claims data
Chirag Nagpal, Kyle Miller, Tiffany Pellathy, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky, and Artur Dubrawski
Workshop Paper, ICDM '17 Data Mining in Biomedical Informatics and Healthcare (DMBIH '17) Workshop, pp. 478 - 485, November, 2017
Utility of Anti-hypertension Prescription Orders in Predicting Future Hypertensive Instability Events
Xuan Wang, Lujie Chen, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky, and Artur Dubrawski
Conference Paper, Proceedings of American Medical Informatics Association Annual Symposium (AMIA '17), November, 2017
All about the Road: Detecting Road Type, Road Damage, and Road Conditions
Nikitha S. Poddatur and Christoph Mertz
Conference Paper, Proceedings of ITS World Congress, November, 2017
Classification of Time Sequences using Graphs of Temporal Constraints
Mathieu Guillame-Bert and Artur Dubrawski
Journal Article, Journal of Machine Learning Research, Vol. 18, No. 121, pp. 4370 - 4403, November, 2017
Efficient Automatic Perception System Parameter Tuning On Site without Expert Supervision
Humphrey Hu and George Kantor
Conference Paper, Proceedings of (CoRL) Conference on Robot Learning, Vol. 78, pp. 57 - 66, November, 2017
GelSight: High-resolution Robot Tactile Sensors for Estimating Geometry and Force
Wenzhen Yuan, Siyuan Dong, and Edward Adelson
Journal Article, Sensors: Special Issue on Tactile Sensors and Sensing, Vol. 17, No. 12, pp. 2762 - 2782, November, 2017
How a diverse research ecosystem has generated new rehabilitation technologies: Review of NIDILRR's Rehabilitation Engineering Research Centers
Aaron Steinfeld and et al.
Journal Article, Journal of Neuroengineering and Rehabilitation, Vol. 14, No. 1, November, 2017
Kronecker-Markov Prior for Dynamic 3D Reconstruction
Tomas Simon, Jack Valmadre, Iain Matthews, and Yaser Sheikh
Journal Article, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 39, No. 11, pp. 2201 - 2214, November, 2017
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation
G. H. Liu, A. Siravuru, S. Prabhakar, M. Veloso, and G. Kantor
Conference Paper, Proceedings of (CoRL) Conference on Robot Learning, Vol. 78, pp. 249 - 261, November, 2017
Mechanical Harvest and In-field Handling of Tree Fruit Crops
M. Karkee, A. Silwal, and J. R. Davidson
Book Section/Chapter, Automation in tree fruit production: Principles and practice, pp. 179 - 233, November, 2017
NavCog3: An Evaluation of a Smartphone-Based Blind Indoor Navigation Assistant with Semantic Features in a Large-Scale Environment
Daisuke Sato, Uran Oh, Kakuya Naito, Hironobu Takagi, Kris Kitani, and Chieko Asakawa
Conference Paper, Proceedings of 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17), pp. 270 - 279, November, 2017
Origami Folding Sequence Generation Using Discrete Particle Swarm Optimization
Ha-Duong Bui, Sungmoon Jeong, Nak Young Chong, and Matthew T. Mason
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 484 - 493, November, 2017
The feeling of success: Does touch sensing help predict grasp outcomes?
Roberto Calandra, Andrew Owens, Manu Upadhyaya, Wenzhen Yuan, Justin Lin, Edward Adelson, and Sergey Levine
Conference Paper, Proceedings of (CoRL) Conference on Robot Learning, pp. 314 - 323, November, 2017
Virtual Navigation for Blind People: Building Sequential Representations of the Real-World
Joao Pedro Vieira Guerreiro, Dragan Ahmetovic, Kris M. Kitani, and Chieko Asakawa
Conference Paper, Proceedings of 19th international ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17), pp. 280 - 289, October, 2017
In-context Q&A to Support Blind People Using Smartphones
André Rodrigues, Kyle Montague, Hugo Nicolau, Joao Pedro Vieira Guerreiro, and Tiago Guerreiro
Conference Paper, Proceedings of 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17), pp. 32 - 36, October, 2017
First-Person Activity Forecasting with Online Inverse Reinforcement Learning
Nicholas Rhinehart and Kris M. Kitani
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 3716 - 3725, October, 2017
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
Debidatta Dwibedi, Ishan Misra, and Martial Hebert
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 1310 - 1319, October, 2017
The Pose Knows: Video Forecasting by Generating Pose Futures
Jacob Walker, Kenneth Marino, Abhinav Gupta, and Martial Hebert
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 3352 - 3361, October, 2017
Few-Shot Hash Learning for Image Retrieval
Yuxiong Wang, Liangke Gui, and Martial Hebert
Workshop Paper, ICCV '17 Workshops, pp. 1228 - 1237, October, 2017
Development and results from user testing of a novel robotics kit supporting systems engineering for elementary-aged students
Emily Hamner, Lauren Zito, Jennifer Cross, Michael Tasota, Paul Dille, Stephen Fulton, Molly Johnson, Illah Nourbakhsh, and Joshua Schapiro
Conference Paper, Proceedings of IEEE Frontiers in Education Conference (FIE '17), October, 2017
Student outcomes from the evaluation of a transdisciplinary middle school robotics program
Jennifer Cross, Emily Hamner, Lauren Zito, and Illah Nourbakhsh
Conference Paper, Proceedings of IEEE Frontiers in Education Conference (FIE '17), October, 2017
Training Strategies for Time Series: Learning for Prediction, Filtering, and Reinforcement Learning
Arun Venkatraman
PhD Thesis, Tech. Report, CMU-RI-TR-18-01, Robotics Institute, Carnegie Mellon University, October, 2017
Interactive Ramp Merging Planning in Autonomous Driving: Multi-Merging Leading PGM
Chiyu Dong, John M. Dolan, and Bakhtiar Litkouhi
Conference Paper, Proceedings of IEEE Intelligent Transportation Systems Conference (ITSC '17), pp. 2186 - 2191, October, 2017
Learning Heuristic Search via Imitation
Mohak Bhardwaj, Sanjiban Choudhury, and Sebastian Scherer
Conference Paper, Proceedings of (CoRL) Conference on Robot Learning, Vol. 78, pp. 271 - 280, October, 2017
HOMER: An Interactive System for Home Based Stroke Rehabilitation
Aisling Kelliher, Jinwoo Choi, Jia-Bin Huang, Thanassis Rikakis, and Kris Kitani
Conference Paper, Proceedings of 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17), pp. 379 - 380, October, 2017
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption
Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani, and Yoichi Sato
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 2059 - 2069, October, 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun, Abhinav Shrivastava, Saurabh Singh, and Abhinav Gupta
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 843 - 852, October, 2017
Spatial Memory for Context Reasoning in Object Detection
Xinlei Chen and Abhinav Gupta
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 4086 - 4096, October, 2017
Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection
Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, and Abhinav Gupta
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 1819 - 1828, October, 2017
Transitive Invariance for Self-Supervised Visual Representation Learning
Xiaolong Wang, Kaiming He, and Abhinav Gupta
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 1338 - 1347, October, 2017
Visual Semantic Planning using Deep Successor Representations
Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, and Ali Farhadi
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 483 - 492, October, 2017
What Actions Are Needed for Understanding Human Actions in Videos?
Gunnar A. Sigurdsson, Olga Russakovsky, and Abhinav Gupta
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 2156 - 2165, October, 2017
A Probabilistic Planning Framework for Planar Grasping Under Uncertainty
Jiaji Zhou, Robert Paolini, Aaron M. Johnson, J. Andrew (Drew) Bagnell, and Matthew T. Mason
Journal Article, IEEE Robotics and Automation Letters, Vol. 2, No. 4, pp. 2111 - 2118, October, 2017
Adversarial inverse graphics networks: Learning 2d-to-3d lifting and image-to-image translation from unpaired supervision
Hsiao-Yu Fish Tung, Adam W. Harley, William Seto, and Katerina Fragkiadaki
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 4364 - 4372, October, 2017
Approximate Grassmannian Intersections: Subspace-Valued Subspace Learning
C. Murdock and F. De la Torre
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 4318 - 4326, October, 2017
Compact model representation for 3D reconstruction
J. K. Pontes, C. Kong, A. Eriksson, C. Fookes, S. Sridharan, and S. Lucey
Conference Paper, Proceedings of International Conference on 3D Vision (3DV '17), pp. 88 - 96, October, 2017
CubeRovers for Lunar Exploration
A. P. Tallaksen, A. D. Horchler, C. Boirum, D. Arnett, H. L. Jones, E. Fang, E. Amoroso, L. Chomas, L. Papincak, O. B. Sapunkov, and W. L. Whittaker
Conference Paper, Proceedings of Annual Meeting of the Lunar Exploration Analysis Group (LEAG '17), October, 2017
Deltille Grids for Geometric Camera Calibration
Hyowon Ha, Michal Perdoch, Hatem Alismail, In So Kweon, and Yaser Sheikh
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 5354 - 5362, October, 2017
Dynamics of a Circular Cylinder With a Passive Degree of Freedom Interacting With an Inviscid Fluid Containing a Point Vortex
Phanindra Tallapragada, Beau Pollard, and Vitaliy Fedonyuk
Conference Paper, Proceedings of ASME Dynamic Systems and Control Conference (DSCC '17), October, 2017
Field Test of Route Planning Software for Lunar Polar Missions
Andrew D. Horchler, Christopher Cunningham, Heather L. Jones, Daniel Arnett, Eugene Fang, Eric Amoroso, Nathan Otten, Fraser Kitchell, Ian Holst, Graeme Rock, and W. Whittaker
Conference Paper, Proceedings of Annual Meeting of the Lunar Exploration Analysis Group (LEAG '17), October, 2017
Learning Background-Aware Correlation Filters for Visual Tracking
H. Kiani Galoogahi, A. Fagg, and S. Lucey
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 1144 - 1152, October, 2017
Learning Policies for Adaptive Tracking with Deep Feature Cascades
C. Huang, S. Lucey, and D. Ramanan
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 105 - 114, October, 2017
Learning Video Object Segmentation with Visual Memory
Pavel Tokmakov, Karteek Alahari, and Cordelia Schmid
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 4491 - 4500, October, 2017
Monocular Depth from Small Motion Video Accelerated
C. Ham, M. Chang, S. Lucey, and S. Singh
Conference Paper, Proceedings of International Conference on 3D Vision (3DV '17), pp. 575 - 583, October, 2017
Multirate Kalman filter rejects impulse noise in frequency-domain-multiplexed tracker measurements
R. A. MacLachlan, R. L. Hollis, B. Jaramaz, J. N. Martel, K. L. Urish, and C. N. Riviere
Conference Paper, Proceedings of IEEE Sensors, October, 2017
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking
H. Kiani Galoogahi, A. Fagg, C. Huang, D. Ramanan, and S. Lucey
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 1134 - 1143, October, 2017
Object Sensitive Deep Reinforcement Learning
Yuezhang Li, Katia P. Sycara, and Rahul Iyer
Conference Paper, Proceedings of 3rd Global Conference on Artificial Intelligence (GCAI '17), pp. 20 - 35, October, 2017