no code implementations • 9 Aug 2022 • Dan Ruta, Andrew Gilbert, Saeid Motiian, Baldo Faieta, Zhe Lin, John Collomosse
We present HyperNST; a neural style transfer (NST) technique for the artistic stylization of images, based on Hyper-networks and the StyleGAN2 architecture.
no code implementations • 12 Aug 2021 • Nima Salehi Sadghiani, Saeid Motiian
This study is concerned with the determination of optimal appointment times for a sequence of jobs with uncertain duration.
no code implementations • ICCV 2021 • Dan Ruta, Saeid Motiian, Baldo Faieta, Zhe Lin, Hailin Jin, Alex Filipkowski, Andrew Gilbert, John Collomosse
We present ALADIN (All Layer AdaIN); a novel architecture for searching images based on the similarity of their artistic style.
no code implementations • 30 May 2019 • Pranav Aggarwal, Zhe Lin, Baldo Faieta, Saeid Motiian
In this paper, we propose a new method for learning text-visual embedding using both image titles and click-through data from an image search engine.
no code implementations • NeurIPS 2017 • Saeid Motiian, Quinn Jones, Seyed Mehdi Iranmanesh, Gianfranco Doretto
This work provides a framework for addressing the problem of supervised domain adaptation with deep models.
3 code implementations • ICCV 2017 • Saeid Motiian, Marco Piccirilli, Donald A. Adjeroh, Gianfranco Doretto
This work provides a unified framework for addressing the problem of visual supervised domain adaptation and generalization with deep models.
Ranked #87 on Domain Generalization on PACS
no code implementations • CVPR 2016 • Saeid Motiian, Marco Piccirilli, Donald A. Adjeroh, Gianfranco Doretto
The problem is challenging because of the intrinsic asymmetry caused by the missing auxiliary view during testing.