1 citations · 1 across the 1 of their papers we have counts for
4 papers
CIZSL++: Creativity Inspired Generative Zero-Shot Learning
Mohamed Elhoseiny, Kai Yi, Mohamed Elfeki
Zero-shot learning (ZSL) aims at understanding unseen categories with no training examples from class-level descriptions. To improve the discriminative power of ZSL, we model the v…
Creativity Inspired Zero-Shot Learning
Mohamed Elhoseiny, Mohamed Elfeki
Zero-shot learning (ZSL) aims at understanding unseen categories with no training examples from class-level descriptions. To improve the discriminative power of zero-shot learning,…
GDPP: Learning Diverse Generations Using Determinantal Point Process
Mohamed Elfeki, Camille Couprie, Morgane Riviere +1
Generative models have proven to be an outstanding tool for representing high-dimensional probability distributions and generating realistic-looking images. An essential characteri…
DeSIGN: Design Inspiration from Generative Networks
Othman Sbai, Mohamed Elhoseiny, Antoine Bordes +2
Can an algorithm create original and compelling fashion designs to serve as an inspirational assistant? To help answer this question, we design and investigate different image gene…