5 citations · 15 across the 10 of their papers we have counts for
10 papers
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation
Kunpeng Song, Yizhe Zhu, Bingchen Liu +3
In this paper, we present MoMA: an open-vocabulary, training-free personalized image model that boasts flexible zero-shot capabilities. As foundational text-to-image models rapidly…
Overlapping Cover Local Regression Machines
Mohamed Elhoseiny, Ahmed Elgammal
We present the Overlapping Domain Cover (ODC) notion for kernel machines, as a set of overlapping subsets of the data that covers the entire training set and optimized to be spatia…
Modelling depth for nonparametric foreground segmentation using RGBD devices
Gabriel Moyà-Alcover, Ahmed Elgammal, Antoni Jaume-i-Capó +1
The problem of detecting changes in a scene and segmenting the foreground from background is still challenging, despite previous work. Moreover, new RGBD capturing devices include…
The Digital Humanities Unveiled: Perceptions Held by Art Historians and Computer Scientists about Computer Vision Technology
Emily L. Spratt, Ahmed Elgammal
Although computer scientists are generally familiar with the achievements of computer vision technology in art history, these accomplishments are little known and often misundersto…
Abnormal Object Recognition: A Comprehensive Study
Babak Saleh, Ali Farhadi, Ahmed Elgammal
When describing images, humans tend not to talk about the obvious, but rather mention what they find interesting. We argue that abnormalities and deviations from typicalities are a…
On The Effect of Hyperedge Weights On Hypergraph Learning
Sheng Huang, Ahmed Elgammal, Dan Yang
Hypergraph is a powerful representation in several computer vision, machine learning and pattern recognition problems. In the last decade, many researchers have been keen to develo…