Adversarial Multiple Source Domain Adaptation

no code implementations • NeurIPS 2018 • Han Zhao, Shanghang Zhang, Guanhang Wu, José M. F. Moura, Joao P. Costeira, Geoffrey J. Gordon

In this paper we propose new generalization bounds and algorithms under both classification and regression settings for unsupervised multiple source domain adaptation.

Classification Domain Adaptation +5

Discriminative Optimization: Theory and Applications to Point Cloud Registration

no code implementations • CVPR 2017 • Jayakorn Vongkulbhisal, Fernando de la Torre, Joao P. Costeira

This approach faces two main challenges: (1) designing a cost function with a local optimum at an acceptable solution, and (2) developing an efficient numerical method to search for one (or multiple) of these local optima.

Computational Efficiency Point Cloud Registration

Motion From Structure (MfS): Searching for 3D Objects in Cluttered Point Trajectories

no code implementations • CVPR 2016 • Jayakorn Vongkulbhisal, Ricardo Cabral, Fernando de la Torre, Joao P. Costeira

Object detection has been a long standing problem in computer vision, and state-of-the-art approaches rely on the use of sophisticated features and/or classifiers.

Motion Segmentation Object +2