• Learning Gibbs-Regularized Pushforward Density Estimators with a Symmetric KL Objective

    BayLearn Symposium 2018, Menlo Park, CA USA
    PP 1-3, 2018

    Nicholas Rhinehart, Anqi Liu, Kihyuk Sohn, Paul Vernaza
    10/11/2018
  • R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting

    European Conference on Computer Vision - ECCV 2018, Munich, Germany
    pp 794-811, 2018

    Nicholas Rhinehart, Kris M. Kitani, Paul Vernaza
    09/08/2018
  • Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences

    European Conference on Computer Vision - ECCV 2018, Munich, Germany
    pp 832-850, 2018

    Mohammed E. Fathy, Quoc-Huy Tran, M. Zeeshan Zia, Paul Vernaza, Manmohan Chandraker
    09/08/2018
  • Deep Network Flow for Multi-Object Tracking

    CVPR 2017, Honolulu Hawaii USA
    pp 6951-6960, 2017

    Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker
    07/21/2017
  • Learning random-walk label propagation for weakly-supervised semantic segmentation

    CVPR 2017, Honolulu, Hawaii USA
    pp 7158-7166, 2017

    Paul Vernaza, Manmohan Chandraker
    07/21/2017
  • DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

    CVPR 2017, Honolulu, Hawaii USA
    pp 336-345

    Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr, Manmohan Chandraker
    07/21/2017