2016

Lillo, Ivan, Juan Carlos Niebles, and Alvaro Soto. “A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets”. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

Fast, Ethan, William McGrath, Pranav Rajpurkar, and Michael Bernstein. “Augur: Mining Human Behaviors from Fiction to Power Interactive Systems”. Conference on Human Factors in Computing Systems (CHI), 2016.

Huang, De-An, Fei-Fei Li, and Juan Carlos Niebles. “Connectionist Temporal Modeling for Weakly Supervised Action Labeling”. European Conference on Computer Vision (ECCV), 2016.

Escorcia, Victor, Fabian Caba Heibron, Juan Carlos Niebles, and Bernard Ghanem. “DAPs: Deep Action Proposals for Action Understanding”. European Conference on Computer Vision (ECCV), 2016.

Oh Song, Hyun, Yu Xiang, Stefanie Jegelka, and Silvio Savarese. “Deep Metric Learning via Lifted Structured Feature Embedding”. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

Dasgupta, Saumitro, Kuan Fang, Kevin Chen, and Silvio Savarese. “DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes”. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

Fast, Ethan, Binbin Chen, and Michael Bernstein. “Empath: Understanding Topic Signals in Large-Scale Text”. Conference on Human Factors in Computing Systems (CHI), 2016.

Caba Heilbron, Fabian, Juan Carlos Niebles, and Bernard Ghanem. “Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos”. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

Ho, Jonathan, and Stefano Ermon. “Generative Adversarial Imitation Learning”. Advances in Neural Information Processing Systems, 2016.

Ballan, Lamberto, Francesco Castaldo, Alexandre Alahi, Francesco Palmieri, and Silvio Savarese. “Knowledge Transfer for Scene-Specific Motion Prediction”. European Conference on Computer Vision (ECCV), 2016.

Held, David, Sebastian Thrun, and Silvio Savarese. “Learning to Track at 100 FPS With Deep Regression Networks”. European Conference on Computer Vision (ECCV), 2016.

Sener, O., H. Song, A. Saxena, and S. Savarese. “Learning Transferrable Representations for Unsupervised Domain Adaptation”. Advances in Neural Information Processing Systems, 2016.

Bailis, Peter, Deepak Narayanan, and Samuel Maddem. “MacroBase: Analytic Monitoring for the Internet of Things”, arXiv preprint arXiv:1603.00567.

Ho, Jonathan, Jayesh Gupta, and Stefano Ermon. “Model-Free Imitation Learning With Policy Optimization”. International Conference on Machine Learning, 2016.

Xiang, Yu, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher Choy, Hao Su, Roozbeh Mottaghi, Leonidas Guibas, and Silvio Saverese. “ObjectNet3D: A Large Scale Database for 3D Object Recognition”. European Conference on Computer Vision (ECCV), 2016.

Wang, z., G. Yang, X. Su, and M. Schwager. “Ouijabots: Omnidirectional Robots for Cooperative Object Transport With Rotation Control Using No Communication”. International Conference on Distributed Autonomous Robotics Systems (DARS), 2016.

Duchi, John, and Hongseok Namkoong. “Robust Stochastic Optimization: Learning the Tails”. Reliable Machine Learning the Wild Workshop, ICML 2016, 2016.

Alahi, Alexandre, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Fei-Fei Li, and Silvio Savarese. “Social LSTM: Human Trajectory Prediction in Crowded Spaces”. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

Duchi, John, Peter Glynn, and Hongseok Namboong. “Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach”.

Namkoong, H., and John Duchi. “Stochastic Gradient Methods for Distributionally Robust Optimization With F-Divergences”. Advances in Neural Information Processing Systems, 2016.