Publications




Attentional Pooling for Action Recognition
R. Girdhar and D. Ramanan
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 33 - 44, December, 2017
Deep Learning Methods for Quantifying Invasive Benthic Species in the Great Lakes
Gideon Billings, K. Skinner, and M. Johnson-Roberson
Conference Paper, Proceedings of American Geophysical Union Fall Meeting Abstracts, December, 2017
Internal Bleeding Detection by Multi-View Correlation Clustering of Central Venous Pressure
Eric Lei, Kyle Miller, Artur Dubrawski, and Michael Pinsky
Workshop Paper, NIPS '17 Workshop on Machine Learning for Healthcare (ML4H) '17, December, 2017
Noise-Tolerant Interactive Learning Using Pairwise Comparisons
Yichong Xu, Hongyang Zhang, Kyle Miller, Aarti Singh, and Artur Dubrawski
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 2428 - 2437, December, 2017
Tongue Operated Integrated System
Jhanak Johri, Jyothi Pillai, and Manasi Shakya
Conference Paper, Proceedings of 14th IEEE India Council International Conference (INDICON '17), December, 2017
Toward Multimodal Image-to-Image Translation
Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, and Eli Shechtman
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 465 - 476, December, 2017
Variational Contact-Implicit Trajectory Optimization
Zac Manchester and Scott Kuindersma
Conference Paper, Proceedings of International Symposium on Robotics Research (ISRR '17), pp. 985 - 1000, December, 2017
A Survey of Ranging and Imaging Techniques for Precision Agriculture Phenotyping
Francisco Yandun Narvaez, Giulio Reina, Miguel Torres-Torriti, George Kantor, and Fernando Auat Cheein
Journal Article, IEEE/ASME Transactions on Mechatronics, Vol. 22, No. 6, pp. 2428 - 2439, December, 2017
Boundary First Flattening
Rohan Sawhney and Keenan Crane
Journal Article, ACM Transactions on Graphics, Vol. 37, No. 1, December, 2017
Detecting damped Ly alpha absorbers with Gaussian processes
R. Garnett, S. Ho, S. Bird, and J. Schneider
Journal Article, Monthly Notices of the Royal Astronomical Society (MNRAS), Vol. 472, No. 2, pp. 1850 - 1865, December, 2017
Different underlying motivations and abilities predict student versus teacher persistence in an online course
Ross M. Higashi, Christian D. Schunn, and Jesse B. Flot
Journal Article, Educational Technology Research and Development, Vol. 65, No. 6, pp. 1471 - 1493, December, 2017
EyeQual: Accurate, Explainable, Retinal Image Quality Assessment
Pedro Costa, Aurelio Campilho, B. Hooi, Asim Smailagic, Kris Kitani, S. Liu, Christos Faloutsos, and Adrian Galdran
Conference Paper, Proceedings of 16th IEEE International Conference on Machine Learning and Applications (ICMLA '17), pp. 323 - 330, December, 2017
Physiological motion modeling for organ-mounted robots
Nathan A. Wood, David Schwartzman, Marco A. Zenati, and Cameron N. Riviere
Journal Article, International Journal of Medical Robotics and Computer Assisted Surgery, Vol. 13, No. 4, pp. e1805, December, 2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks
Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, and J. Andrew Bagnell
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 1172 - 1183, December, 2017
Early-season Vineyard Shoot and Leaf Estimation Using Computer Vision
Harjatin Singh Baweja, Tanvir Parhar, and Stephen Nuske
Conference Paper, Proceedings of ASABE Annual International Meeting, November, 2017
‘Autistic Robots’ for Embodied Emulation of Behaviors Typically Seen in Children with Different Autism Severities
Kim Baraka, Francisco Melo, and Manuela Veloso
Conference Paper, Proceedings of International Conference on Social Robotics (ICSR '17), pp. 105 - 114, November, 2017
Online Decision Making for Stream-based Robotic Sampling via Submodular Optimization
Wenhao Luo, Changjoo Nam, and Katia Sycara
Conference Paper, Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI '17), pp. 118 - 123, November, 2017
The Complexities of Grasping in the Wild
Yuzuko C. Nakamura, Daniel M. Troniak, Alberto Rodriguez, Matthew T. Mason, and Nancy Pollard
Conference Paper, Proceedings of IEEE-RAS 17th International Conference on Humanoid Robots (Humanoids '17), pp. 233 - 240, November, 2017
Reverse Curriculum Generation for Reinforcement Learning
Carlos Florensa, David Held, Markus Wulfmeier, and Pieter Abbeel
Conference Paper, Proceedings of (CoRL) Conference on Robot Learning, pp. 482 - 495, November, 2017
A Generalized Model for Multimodal Perception
Sz-Rung Shiang, Anatole Gershman, and Jean Hyaejin Oh
Conference Paper, Proceedings of AAAI '17 Fall Symposium, November, 2017
Answer-Aware Attention on Grounded Question Answering in Images
Junjie Hu, Desai Fan, Shuxin Yao, and Jean Hyaejin Oh
Conference Paper, Proceedings of AAAI '17 Fall Symposium on Natural Communication for Human Robot Collaboration, November, 2017
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