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Publications

Found 162 results
2019
C. Choy, Gwak, J. Y., and Savarese, S., 4D Spatio-Temporal ConvNet: Minkowski Convolutional Neural Network, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
C. Basu, Biyik, E., He, Z., Singhal, M., and Sadigh, D., Active Learning of Reward Dynamics from Hierarchical Queries, in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
H. Ren, Zhao, S., and Ermon, S., Adaptive Antithetic Sampling for Variance Reduction, in International Conference on Machine Learning, 2019.
K. Leung, Arechiga, N., and Pavone, M., Backpropagation for Signal Temporal Logic, in IEEE Intelligent Vehicles Symposium: Workshop on Unsupervised Learning for Automated Driving, 2019.
B. Ivanovic, Harrison, J., Sharma, A., Chen, M., and Pavone, M., BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning, in IEEE International Conference on Robotics and Automation (ICRA), 2019.
K. Chen, de Vicente, J. Pablo, Sepulveda, G., Xia, F., Soto, A., Vázquez, M., and Savarese, S., A Behavioral Approach to Visual Navigation with Graph Localization Networks, Robotics: Science and Systems (RSS) 2019 - in submission; arXiv, 2019.
M. Salazar, Tsao, M., Aguiar, I., Schiffer, M., and Pavone, M., A Congestion-aware Routing Scheme for Autonomous Mobility-on-Demand Systems, in European Control Conference, 2019.
M. Jorda, Herrero, E. Galbally, and Khatib, O., Contact-Driven Posture Behavior for Safe and Interactive Robot Operation, in Robotics and Automation (ICRA), 2019 IEEE International Conference on, 2019.
D. - A. Huang, Xu, D., Zhu, Y., Garg, A., Savarese, S., Fei-Fei, L., and Niebles, J. Carlos, Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning, in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (under review), 2019.
C. - Y. Chang, Huang, D. - A., Sui, Y., Fei-Fei, L., and Niebles, J. Carlos, D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
F. Abuzaid, Kraft, P., Suri, S., Gan, E., Xu, E., Shenoy, A., Ananthanarayan, A., Sheu, J., Meijer, E., Wu, X., Naughton, J., Bailis, P., and Zaharia, M., DIFF: A Relational Interface for Large-Scale Data Explanation, in International Conference on Very Large Data Bases (VLDB), 2019.
R. Senanayake, Toyungyernsub, M., Wang, M., Kochenderfer, M., and Schwager, M., Directional Primitives for Uncertainty-Aware Motion Prediction in Urban Environments, in Robotics: Science and Systems Workshop on Scene and Situation Understanding for Autonomous Driving, 2019, 2019.
M. Wang and Schwager, M., Distributed Collision Avoidance of Multiple Robots with Probabilistic Buffered Voronoi Cells, in International Symposium on Multi-Robot and Multi-Agent Systems, 2019.
E. Biyik, Margoliash, J., Alimo, S. R., and Sadigh, D., Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models, in Proceedings of the American Control Conference (ACC), 2019.
X. Liu, Qi, C. R., and Guibas, L. J., FlowNet3D: Learning Scene Flow in 3D Point Clouds, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
M. Wang, Wang, Z., Talbot, J., J. Gerdes, C., and Schwager, M., Game Theoretic Planning for Self-Driving Cars in Competitive Scenarios, in RSS, 2019.
E. Biyik, Lazar, D. A., Sadigh, D., and Pedarsani, R., The Green Choice: Learning and Influencing Human Decisions on Shared Roads, in Proceedings of the 58th IEEE, Conference on Decision and Control (CDC), 2019.
F. Stroppa, Luo, M., Gerboni, G., Coad, M. M., Walker, J. M., and Okamura, A. M., Human-centered Control of a Growing Soft Robot for Object Manipulation, in Work-In-Progress for 2019 IEEE World Haptics Conference (WHC), 2019.
M. Kwon, Li, M., Bucquet, A., and Sadigh, D., Influencing Leading and Following in Human-Robot Teams, in Robotics: Science and Systems (RSS), 2019.
R. Krishna, Bernstein, M., and Fei-Fei, L., Information Maximizing Visual Question Generation, in IEEE Conference on Computer Vision and Pattern Recognition, 2019.
J. - H. Wang and James, D. L., KleinPAT: Optimal Mode Conflation for Time-Domain Precomputation of Acoustic Transfer, SIGGRAPH 2019, 2019.
H. Wang, Pirk, S., Yumer, E., Kim, V., Sener, O., Sridhar, S., and Guibas, L., Learning a Generative Model for Multi-Step Human–Object Interactions from Videos, in Computer Graphics Forum, 2019.
M. Palan, Shevchuk, G., Landolfi, N. C., and Sadigh, D., Learning Reward Functions by Integrating Human Demonstrations and Preferences, in Robotics: Science and Systems (RSS), 2019.
A. Koratana, Kang, D., Bailis, P., and Zaharia, M., LIT: Learned Intermediate Representation Training for Model Compression, in International Conference on Machine Learning, 2019.
M. A. Lee, Zhu, Y., Srinivasan, K., Shah, P., Savarese, S., Fei-Fei, L., Garg, A., and Bohg, J., Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks, in IEEE International Conference on Robotics and Automation (ICRA), 2019.

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