2017
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Results for: 2017
- Chinchali, S., S. Livingston, and M. Pavone. “Multi-Objective Optimal Control for Proactive Decision-Making With Temporal Logic Models”. Int. Symp. on Robotics Research, 2017.
- Jorda, M., R. Balachandran, J. Ryu, and O. Khatib. “New Passivity Observers for Improved Robot Force Control”. {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, 2017.
- Kang, D., John Emmons, Firas Abuzaid, Peter Bailis, and M. Zaharia. “NoScope: Optimizing Deep CNN-Based Queries over Video Streams at Scale”. arXiv:1703.02529, 2017.
- Kang, Daniel, John Emmons, Firas Abuzaid, Peter Bailis, and Matei Zaharia. “NoScope: Optimizing Neural Network Queries over Video at Scale”, Proc. VLDB Endow.
- Balachandran, R., M. Jorda, J. Artigas, J. Ryu, and O. Khatib. “Passivity-Based Stability in Explicit Force Control of Robots”. IEEE International Conference on Robotics and Automation (ICRA), 2017.
- Sunberg, Z., and M. Kochenderfer. “POMCPOW: An Online Algorithm for {POMDP}s With Continuous State, Action, and Observation Spaces”. arXiv, 2017.
- Bailis, Peter, Edward Gan, K. Rong, and S. Suri. “Prioritizing Attention in Fast Data: Challenges and Opportunities”. CIDR, 2017.
- Majumdar, A., S. Singh, A. Mandlekar, and M. Pavone. “Risk-Sensitive Inversere Inforcement Learning via Coherent Risk Models”. Robotics: Science and Systems (RSS), 2017.
- Gan, Edward, and Peter Bailis. “Scalable Kernel Density Classification via Threshold-Based Pruning”. ACM SIGMOD, 2017.
- Luo, Rachel, Ozan Sener, and Silvio Savarese. “Scene Semantic Reconstruction from Egocentric Rgb-D-Thermal Videos”. International Conference on 3D Vision (3DV), 2017.
- Sinha, A., Hongseok Namkoong, and John Duchi. “Simplifying Distributional Robustness With Adversarial Training”.
- Slade, P., P. Culbertson, Z. Sunberg, and M. Kochenderfer. “Simultaneous Active Parameter Estimation and Control Using Sampling-Based Bayesian Reinforcement Learning”. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017.
- Buch, Shyamal, Victor Escorcia, Chuanqi Shen, Bernard Ghanem, and Juan Carlos Niebles. “SST: Single-Stream Temporal Action Proposals”. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
- Duchi, John, Peter Glynn, and Namkoong Hongseok. “Statistical Estimation of Large Deviation Rates for i.i.d. Sub-Exponential Random Walks”.
- Sunberg, Z., C. Ho, and M. Kochenderfer. “The Value of Inferring the Internal State of Traffic Participants for Autonomous Freeway Driving”. American Control Conference, 2017.
- Alahi, Alexandre, Judson Wilson, Fei-Fei Li, and Silvio Savarese. “Unsupervised Camera Localization in Crowded Spaces”. IEEE International Conference on Robotics and Automation (ICRA), 2017.
- Huang, De-An, Joseph Lim, Fei-Fei Li, and Juan Carlos Niebles. “Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos”. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
- Duchi, John, and H. Namkoong. “Variance-Based Regularization With Convex Objectives”. Advances in Neural Information Processing Systems, 2017.
- Krishna, Janjay, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David Shamma, Michael Bernstein, and Fei-Fei Li. “Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations”, International Journal of Computer Vision.
- Paredes, P., Stephanie Balters, K. Qai, F. Ordonez, W. Ju, and James Landay. “Zenmuter - Augmented Virtual Reality for Commuters”. ACM Symposium on Virtual Reality Software and Technology, 2017.