Deep learning

Quantifying the Urban Exposome

The 21st century would witness one of the largest urban migration in human history. A lot of research has gone into understanding the effects of urban life on human physical and mental health. The results have been unanimous: The urban environment has long lasting impacts on our well being. These impacts , albeit sometime negative, are correctable using simple but effective measures. These interventions often come in the form of urban design changes or changes in the way people use the city.

About engagment and networked systems

There has been a large churn of new ideas, exploring new ways to network people and their content. From primacy driven social media platforms like Tik-tok, Vine and Instagram, to a more decentralized socially curated content platform like Mastodom. Here I explore models, methods and pipelines to measure how humans adopt and interact with these new and innovative platforms.

FaceLift: a transparent deep learning framework to beautify urban scenes

In the area of computer vision, deep learning techniques haverecently been used to predict whether urban scenes are likely tobe considered beautiful: it turns out that these techniques areable to make accurate predictions. Yet they fall short when …

Facelift makes it to top 16 Ph.D. projects across the U.K. @ EPSRC Pioneers Competition

Our project FaceLift: A deeplearning pipeline to beautify urban spaces, has been shortlisted in the highly selective EPSRC Pioneers competetion. We are one of the top 16 Ph.D. projects around U.K. It stands in the top 4 projects among the creative computing category. Please find the full announcement here.

Mapping and Visualizing Deep-Learning Urban Beautification

Information visualization has great potential to make sense of the increasing amount of data generated by complex machine-learning algorithms. We design a set of visualizations for a new deep-learning algorithm called FaceLift …

Like at First Sight: Understanding User Engagement with the World of Microvideos

Several content-driven platforms have adopted the ‘micro video’ for-mat, a new form of short video that is constrained in duration, typically at most5-10 seconds long. Micro videos are typically viewed through mobile apps, andare presented to viewers …