Publications




Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing
Hanzhang Hu, Debadeepta Dey, Martial Hebert, and J. Andrew Bagnell
Conference Paper, Proceedings of 33rd National Conference on Artificial Intelligence (AAAI '19), pp. 3812 - 3821, January, 2019
Learning facial action units with spatiotemporal cues and multi-label sampling
W. Chu, F. De la Torre, and J. Cohn
Journal Article, Image and Vision Computing, Vol. 81, pp. 1 - 14, January, 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 '19), pp. 41 - 46, January, 2019
Multi-Agent Path Finding for Large Agents
Jiaoyang Li, Pavel Surynek, Ariel Felner, Hang Ma, T. K. Satish Kumar, and Sven Koenig
Conference Paper, Proceedings of 33rd AAAI Conference on Artificial Intelligence (AAAI '19), pp. 7627 - 7634, January, 2019
Perceptions of domestic robots’ normative behavior across cultures
Huao Li, Stephanie Milani, Vigneshram Krishnamoorthy, Michael Lewis, and Katia P. Sycara
Conference Paper, Proceedings of AAAI/ACM Conference on AI, Ethics, and Society (AIES '19), pp. 345 - 351, January, 2019
Searching with Consistent Prioritization for Multi-Agent Path Finding
Hang Ma, Daniel Harabor, Peter J. Stuckey, Jiaoyang Li, and Sven Koenig
Conference Paper, Proceedings of 33rd AAAI Conference on Artificial Intelligence (AAAI '19), pp. 7643 - 7650, January, 2019
Symmetry-Breaking Constraints for Grid-Based Multi-Agent Path Finding
Jiaoyang Li, Daniel Harabor, Peter J. Stuckey, Hang Ma, and Sven Koenig
Conference Paper, Proceedings of 33rd AAAI Conference on Artificial Intelligence (AAAI '19), pp. 6087 - 6095, January, 2019
Towards Better Interpretability in Deep Q-Networks
Raghuram Mandyam Annasamy and Katia P. Sycara
Conference Paper, Proceedings of 33rd National Conference on Artificial Intelligence (AAAI '19), pp. 4561 - 4569, January, 2019
What’s Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System
Mononito Goswami, Shiven Mian, and Jack Mostow
Conference Paper, Proceedings of 33rd National Conference on Artificial Intelligence (AAAI '19) (Student Abstract Track), pp. 9941 - 9942, January, 2019
A Survey of Automated Threaded Fastening
Zhenzhong Jia, Ankit Bhatia, Reuben Aronson, David Bourne, and Matthew T. Mason
Journal Article, IEEE Transactions on Automation Science and Engineering, Vol. 16, No. 1, pp. 298 - 310, 2019
Binarized Severity Level Of Future Instability Risk In Continuously Monitored Patients
Lujie Chen, Artur Dubrawski, Gilles Clermont, Tiffany Pellathy, Anthony Wertz, Joo Heung Yoon, Michael Pinsky, and Marilyn Hravnak
Journal Article, Critical Care Medicine, Vol. 47, No. 1, pp. 605, 2019
From Images to 3D Shape Attributes
David F. Fouhey, Abhinav Gupta, and Andrew Zisserman
Journal Article, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 41, No. 1, pp. 93 - 106, 2019
Identifying Time-Interval Features Predictive of Hospital-Acquired Venous Thromboembolism
T. Pellathy, L. Chen, G. Clermont, A. Dubrawski, M. R. Pinsky, and M. Hravnak
Journal Article, Critical Care Medicine, Vol. 47, No. 1, pp. 29, 2019
Panoptic Studio: A Massively Multiview System for Social Interaction Capture
Hanbyul Joo, Tomas Simon, Xulong Li, Hao Liu, Lei Tan, Lin Gui, Sean Banerjee, Timothy Godisart, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, and Yaser Sheikh
Journal Article, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 41, No. 1, pp. 190 - 204, 2019
Predicting neurological recovery with Canonical Autocorrelation Embeddings
Maria De Arteaga, Jieshi Chen, Peter Huggins, Jonathan Elmer, Gilles Clermont, and Artur W. Dubrawski
Journal Article, PLOS ONE, Vol. 14, No. 1, 2019
Using Comparisons to Reduce Cost of Data Annotation Required to Train Models for Bedside Monitoring
J. Sheng, L. Chen, Y. Xu, M. R. Pinsky, M. Hravnak, and A. Dubrawski
Journal Article, Critical Care Medicine, Vol. 47, No. 1, pp. 606, 2019
Combining Neighborhood-based Heuristics: A Framework and Pilot Study on Baselines
Chung-Yao Chuang and Stephen F. Smith
Tech. Report, CMU-RI-TR-19-04, Robotics Institute, Carnegie Mellon University, December, 2018
DPSNet: End-to-end Deep Plane Sweep Stereo
Sunghoon Im, Hae-Gon Jeon, Stephen Lin, and In So Kweon
Conference Paper, Proceedings of 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, Robotics Institute, Carnegie Mellon University, 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, Proceedings of Asian Conference on Computer Vision (ACCV '18), pp. 273 - 288, December, 2018
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
K. Kandasamy, W. Neiswanger, J. Schneider, B. Poczos, and E. Xing
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 2020 - 2029, December, 2018
Robust Depth Estimation using Auto-Exposure Bracketing
Sunghoon Im, Hae-Gon Jeon, and In So Kweon
Journal Article, IEEE Transactions on Image Processing, December, 2018
Monocular and Stereo Cues for Landing Zone Evaluation for Micro UAVs
Garg R, Yang S, and Scherer S
Journal Article, arXiv preprint arXiv:1812. 03539, December, 2018
3D-Aware Scene Manipulation via Inverse Graphics
Shunyu Yao, Tzu Ming Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, Bill Freeman, and Josh Tenenbaum
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 1891 - 1902, December, 2018
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection
Kyle Hundman, Thamme Gowda, Mayank Kejriwal, and Benedikt Boecking
Conference Paper, Proceedings of AAAI/ACM Conference on AI, Ethics, and Society (AIES '18), pp. 137 - 143, December, 2018
An overview on principles for energy efficient robot locomotion
N. Kashiri, A. Abate, S. J. Abram, A. Albu-Schaffer, P. J. Clary, M. A. Daley, S. Faraji, R. Furnemont, M. Garabini, H. Geyer, A. M. Grabowski, J. Hurst, J. Malzahn, G. Mathijssen, D. Remy, W. Roozing, M. Shahbazi, S. N. Simha, J. Song, N. Smit-Anseeuw, S. Stramigioli, B. Vanderborght, Y. Yesilevskiy, and N. Tsagarakis
Journal Article, Frontiers in Robotics and AI, Vol. 5, December, 2018
Beyond Grids: Learning Graph Representations for Visual Recognition
Yin Li and Abhinav Gupta
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 9225 - 9235, December, 2018
Data-driven Planning via Imitation Learning
Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian Scherer, and Debadeepta Dey
Journal Article, International Journal of Robotics Research, Vol. 37, No. 13, pp. 1632 - 1672, December, 2018
Dataset Distillation
Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba, and Alexei A. Efros
Miscellaneous, arXiv: 1811.10959, pp. 1 - 14, December, 2018
Deep Convolutional Compressed Sensing for LiDAR Depth Completion
N. Chodosh, C. Wang, and S. Lucey
Conference Paper, Proceedings of Asian Conference on Computer Vision (ACCV '18), pp. 499 - 513, December, 2018
Deep incremental learning for efficient high-fidelity face tracking
Chenglei Wu, Takaaki Shiratori, and Yaser Sheikh
Journal Article, ACM Transactions on Graphics (TOG), Vol. 37, No. 6, December, 2018
Deep Sequence Modeling for Hemorrhage Diagnosis
Fabian Falck, Michael Pinsky, and Artur Dubrawski
Workshop Paper, NeurIPS '18 Workshop on Machine Learning for Healthcare (ML4H '18), December, 2018
Distributed submodular maximization on partition matroids for planning on large sensor networks
M. Corah and N. Michael
Conference Paper, Proceedings of IEEE Conference on Decision and Control (CDC '18), pp. 6792 - 6799, December, 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning
Tao Chen, Adithya Murali, and Abhinav Gupta
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 9355 - 9366, December, 2018
Leveraging experience for robust, adaptive nonlinear MPC on computationally constrained systems with time-varying state uncertainty
V. R. Desaraju, A. E. Spitzer, C. O’Meadhra, L. Lieu, and N. Michael
Journal Article, International Journal of Robotics Research, Vol. 37, No. 13, pp. 1690 - 1712, December, 2018
Leveraging Routine Pre-Operative Blood Draws to Predict Hemorrhagic Shock During Surgery
Xinyu Li, Michael R. Pinsky, Gilles Clermont, and Artur Dubrawski
Workshop Paper, NeurIPS '18 Workshop on Machine Learning for Healthcare (ML4H '18), December, 2018
Multivariate Mutually Regressive Point Processes
Ifigeneia Apostolopoulou, Scott W. Linderman, Kyle Miller, and Artur Dubrawski
Conference Paper, Proceedings of Symposium on Advances in Approximate Bayesian Inference (AABI '18), December, 2018
Online planning for human — multi-robot interactive theatrical performance
E. A. Cappo, A. Desai, M. Collins, and N. Michael
Journal Article, Autonomous Robots, Vol. 42, No. 8, pp. 1771 - 1786, December, 2018
Prediction of Sorghum bicolor Genotype from In-situ Images Using Autoencoder-identified SNPs
Mihael Cudic, Harjatin Baweja, Tanvir Parhar, and Stephen Nuske
Conference Paper, Proceedings of 17th IEEE International Conference on Machine Learning and Applications (ICMLA '18), pp. 23 - 31, December, 2018
Probabilistic pose estimation using a Bingham distribution-based linear filter
Arun Srivatsan Rangaprasad, Mengyun Xu, Nicolas Zevallos, and Howie Choset
Journal Article, International Journal of Robotics Research: Special Issue on RSS '17, Vol. 37, No. 13, pp. 1610 - 1631, December, 2018
Real-Time Model Predictive Control for Energy Management in Autonomous Underwater Vehicle
Niankai Yang, Mohammad Reza Amini, M. Johnson-Roberson, and Jing Sun
Conference Paper, Proceedings of IEEE Conference on Decision and Control (CDC '18), pp. 4321 - 4326, December, 2018
Road Curb Detection and Localization With Monocular Forward-View Vehicle Camera
S. Panev, F. Vicente, F. De la Torre, and V. Prinet
Journal Article, IEEE Transactions on Intelligent Transportation Systems, Vol. 20, No. 9, pp. 3568 - 3584, December, 2018
Road-Segmentation based Curb Detection Method for Self-driving via a 3D-LiDAR Sensor
Yihuan Zhang, Jun Wang, Xiaonian Wang, and John M. Dolan
Journal Article, IEEE Transactions on Intelligent Transportation Systems, Vol. 19, No. 12, pp. 3981 - 3991, December, 2018
Robot learning in homes: Improving generalization and reducing dataset bias
Abhinav Gupta, Adithya Murali, Dhiraj Gandhi, and Lerrel Pinto
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 9112 - 9122, December, 2018
Supervisory control of multirotor vehicles in challenging conditions using inertial measurements
M. Bangura, X. Hou, G. Allibert, R. Mahony,, and N. Michael
Journal Article, IEEE Transactions on Robotics, Vol. 34, No. 6, pp. 1490 - 1501, December, 2018
Toward delay-tolerant multiple-unmanned aerial vehicle scheduling system using Multi-strategy Coevolution algorithm
Yohanes Khosiawan, Sebastian Scherer, and Izabela Ewa Nielsen
Journal Article, Advances in Mechanical Engineering, Vol. 10, No. 12, December, 2018
Understanding human perception of bus fullness: An empirical study of crowdsourced fullness ratings and automatic passenger counter data
Xidong Pi, Zhen (Sean) Qian, Aaron Steinfeld, and Yun Huang
Journal Article, Transportation Research Record, Vol. 2672, No. 8, pp. 475 - 484, December, 2018
Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, and Bryan Catanzaro
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 1152 - 1164, December, 2018
Visible/Shortwave and Thermal Infrared Measurements at Cuprite, Nevada: Complementary or Corroborating?
Alberto Candela, David R. Thompson, Kerry Cawse-Nicholson, David S. Wettergreen, Sven Geier, Michael L. Eastwood, Robert O. Green, and Roger Nelson Clark
Conference Paper, Proceedings of American Geophysical Union Fall Meeting, December, 2018
Visual Object Networks: Image Generation with Disentangled 3D Representation
Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Josh Tenenbaum, and Bill Freeman
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 118 - 129, December, 2018