7 papers
Towards Generating Stylized Image Captions via Adversarial Training
Omid Mohamad Nezami, Mark Dras, Stephen Wan +2
While most image captioning aims to generate objective descriptions of images, the last few years have seen work on generating visually grounded image captions which have a specifi…
Image Captioning using Facial Expression and Attention
Omid Mohamad Nezami, Mark Dras, Stephen Wan +1
Benefiting from advances in machine vision and natural language processing techniques, current image captioning systems are able to generate detailed visual descriptions. For the m…
ShEMO -- A Large-Scale Validated Database for Persian Speech Emotion Detection
Omid Mohamad Nezami, Paria Jamshid Lou, Mansoureh Karami
This paper introduces a large-scale, validated database for Persian called Sharif Emotional Speech Database (ShEMO). The database includes 3000 semi-natural utterances, equivalent…
Senti-Attend: Image Captioning using Sentiment and Attention
Omid Mohamad Nezami, Mark Dras, Stephen Wan +1
There has been much recent work on image captioning models that describe the factual aspects of an image. Recently, some models have incorporated non-factual aspects into the capti…
Automatic Recognition of Student Engagement using Deep Learning and Facial Expression
Omid Mohamad Nezami, Mark Dras, Len Hamey +3
Engagement is a key indicator of the quality of learning experience, and one that plays a major role in developing intelligent educational interfaces. Any such interface requires t…
Dynamic Swarm Dispersion in Particle Swarm Optimization for Mining Unsearched Area in Solution Space (DSDPSO)
Anvar Bahrampour, Omid Mohamad Nezami
Premature convergence in particle swarm optimization (PSO) algorithm usually leads to gaining local optimum and preventing from surveying those regions of solution space which have…