1 code implementation • ICCV 2019 • Mehran Khodabandeh, Arash Vahdat, Mani Ranjbar, William G. Macready
To adapt to the domain shift, the model is trained on the target domain using a set of noisy object bounding boxes that are obtained by a detection model trained only in the source domain.
no code implementations • 23 May 2018 • Arash Mehrjou, Mehran Khodabandeh, Greg Mori
This strategy does not make good use of the structure of the dataset at hand and is prone to be misguided by outliers.
no code implementations • 29 Mar 2018 • Mehran Khodabandeh, Hamid Reza Vaezi Joze, Ilya Zharkov, Vivek Pradeep
Therefore, the ability to generate de novo data or expand an existing data set, however small, in order to satisfy data requirement of current networks may be invaluable.
no code implementations • 7 Jun 2017 • Mehran Khodabandeh, Zhiwei Deng, Mostafa S. Ibrahim, Shinichi Satoh, Greg Mori
We propose a general purpose active learning algorithm for structured prediction, gathering labeled data for training a model that outputs a set of related labels for an image or video.
no code implementations • 12 Feb 2015 • Mehran Khodabandeh, Arash Vahdat, Guang-Tong Zhou, Hossein Hajimirsadeghi, Mehrsan Javan Roshtkhari, Greg Mori, Stephen Se
We present a novel approach for discovering human interactions in videos.