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Publications | Results For: 2017
Sener, O., and S. Savarese. “A Geometric Approach to Active Learning for Convolutional Neural Networks”. Advances in Neural Information Processing Systems, 2017.
Nishimura, H., and M. Schwager. “Active Trajectory Classification for Motion-Based Communication of Robots”. Robot Communication in the Wild, Robotics: Science and Systems Workshop, 2017.
Harrison, James, Animesh Garg, Boris Ivanovic, Yuke Zhu, Silvio Savarese, Fei-Fei Li, and Marco Pavone. “Adapt: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems”, arXiv preprint arXiv:1707.04674.
Mandlekar, Ajay, Yuke Zhu, Animesh Garg, Fei-Fei Li, and Silvio Savarese. “Adversarially Robust Policy Learning: Active Construction of Physically-Plausible Perturbations”. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017.
Paredes, P., N. Hamdan, Y. Zhou, F. Ordonez, W. Ju, and J. Landay. “Deepdrive: Deep Breathing for Commuters”. ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2017.
Bailis, Peter, Edward Gan, Kexin Rong, and Sahaana Suri. “Demonstration: MacroBase, A Fast Data Analysis Engine”. ACM SIGMOD, 2017.
Luo, R, O. Sener, and S. Savarese. “Egocentric Rgb-D-Thermal: A New Framework for Complete Scene Understanding”. International Conference on 3D Vision, 2017.
Buch, Shyamal, Victor Escorcia, Bernard Ghanem, Fei-Fei Li, and Juan Carlos Niebles. “End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos”. British Machine Vision Conference (BMVC), 2017.
Paredes, P., N. Hamdan, D. Clark, C. Cai, W. Ju, and J. Landy. “Evaluating in-Car Movements in the Design of Mindful Commute Interventions: Exploratory Study”, Journal of medical Internet research.
Schmerling, E., and M. Pavone. “Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning”. Robotics: Science and Systems (RSS), 2017.
Sharan, Vatsal, Kai Sheng Tai, Peter Bailis, and Gregory Valiant. “Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data”, arXiv preprint arXiv:1706.08146.
Zhou, D., Z. Wang, and M. Schwager. “Fast, on-Line Collision Avoidance for Dynamic Vehicles Using Buffered Voronoi Cells”, IEEE Robotics and Automation Letters.
Zamir, A., T. Wu, L. Sun, W. Shen, J. Malik, and S. Savarese. “Feedback Networks”. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
Majumdar, A., and M. Pavone. “How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics”. Int. Symp. on Robotics Research, 2017.
Li, Yunzhu, Jiaming Song, and Stefano Ermon. “Infogail: Interpretable Imitation Learning from Visual Demonstrations”. Advances in Neural Information Processing Systems, 2017.
Pierson, A., Z. Wang, and M. Schwager. “Intercepting Rogue Robots: An Algorithm for Capturing Multiple Evaders With Multiple Pursuers”, IEEE Robotics and Automation Letters.
Fast, Ethan, Binbin Chen, Julia Mendelsohn, Jonathan Bassen, and Michael Bernstein. “Iris: A Conversational Agent for Complex Tasks”. arXiv preprint arXiv:1707.05015, 2017.
Pirk, S., H. Wang, O. Sener, V. Kim, E. Yumer, and Leonidas Guibas. “Learning to Generate Multi-Step Human-Object Interactions from Videos”. ACM Siggraph Asia, 2017.
Paredes, P., N. Hamdan, C. Cai, D. Clark, W. Ju, and J. Landay. “Movecommute: Exploring in Car Mindful Movement for Commuters”, Journal of Medical Internet Research.