Shervin Minaee — accepted AI-conference papers

2022

Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning

Ligong Han, Jian Ren, Hsin-Ying Lee, Francesco Barbieri, Kyle Olszewski, Shervin Minaee +2

CVPR 2022poster

Most methods for conditional video synthesis use a single modality as the condition. This comes with major limitations. For example, it is problematic for a model conditioned on an image to generate a specific motion trajectory desired by the user since there is no means to provide motion informatio…

Cited by 57 PDF ↗code ↗Scholar ↗

2021

Regularized Submodular Maximization at Scale

Ehsan Kazemi, Shervin Minaee, Moran Feldman, Amin Karbasi

ICML 2021spotlight

In this paper, we propose scalable methods for maximizing a regularized submodular function $f \triangleq g-\ell$ expressed as the difference between a monotone submodular function $g$ and a modular function $\ell$. Submodularity is inherently related to the notions of diversity, coverage, and repre…

Cited by 51 Source ↗PDF ↗Scholar ↗