no code implementations • 4 Jan 2024 • Debapriya Roy, Sanchayan Santra, Diganta Mukherjee, Bhabatosh Chanda
In general, a VTON system takes a clothing source and a person's image to predict the try-on output of the person in the given clothing.
no code implementations • 17 Aug 2022 • Debapriya Roy, Sanchayan Santra, Diganta Mukherjee, Bhabatosh Chanda
The idea of \textit{Virtual Try-ON} (VTON) benefits e-retailing by giving an user the convenience of trying a clothing at the comfort of their home.
no code implementations • 21 Jul 2022 • Kara Karpman, Samriddha Lahiry, Diganta Mukherjee, Sumanta Basu
We propose statistical methods that measure connectivity in the financial sector using system-wide tail-based analysis and is able to distinguish between connectivity in lower and upper tails of the return distribution.
no code implementations • 26 Nov 2020 • Subhojit Biswas, Diganta Mukherjee, Indranil SenGupta
This paper proposes swaps on two important new measures of generalized variance, namely the maximum eigenvalue and trace of the covariance matrix of the assets involved.
no code implementations • 30 Oct 2020 • Debapriya Roy, Diganta Mukherjee, Bhabatosh Chanda
Given any input image of a person or a group of persons with some value indicating the desired change of skin color towards fairness or darkness, this method can change the skin tone of the persons in the image.
no code implementations • 11 Aug 2019 • Subhojit Biswas, Diganta Mukherjee
We consider an investor, whose portfolio consists of a single risky asset and a risk free asset, who wants to maximize his expected utility of the portfolio subject to the Value at Risk assuming a heavy tail distribution of the stock prices return.
no code implementations • 11 Aug 2019 • Subhojit Biswas, Mrinal K. Ghosh, Diganta Mukherjee
We consider an investor, whose portfolio consists of a single risky asset and a risk free asset, who wants to maximize his expected utility of the portfolio subject to managing the Value at Risk (VaR) assuming a heavy tailed distribution of the stock prices return.