3 citations · 5 across the 3 of their papers we have counts for
8 papers
Towards Precision in Appearance-based Gaze Estimation in the Wild
Murthy L. R. D., Abhishek Mukhopadhyay, Shambhavi Aggarwal +2
Appearance-based gaze estimation systems have shown great progress recently, yet the performance of these techniques depend on the datasets used for training. Most of the existing…
To show or not to show: Redacting sensitive text from videos of electronic displays
Abhishek Mukhopadhyay, Shubham Agarwal, Patrick Dylan Zwick +1
With the increasing prevalence of video recordings there is a growing need for tools that can maintain the privacy of those recorded. In this paper, we define an approach for redac…
Eye Tracking to Understand Impact of Aging on Mobile Phone Applications
Antony William Joseph, Jeevitha Shree DV, Kamal Preet Singh Saluja +3
Usage of smartphones and tablets have been increasing rapidly with multi-touch interaction and powerful configurations. Performing tasks on mobile phones become more complex as peo…
Bridging the gap between Markowitz planning and deep reinforcement learning
Eric Benhamou, David Saltiel, Sandrine Ungari +1
While researchers in the asset management industry have mostly focused on techniques based on financial and risk planning techniques like Markowitz efficient frontier, minimum vari…
AAMDRL: Augmented Asset Management with Deep Reinforcement Learning
Eric Benhamou, David Saltiel, Sandrine Ungari +2
Can an agent learn efficiently in a noisy and self adapting environment with sequential, non-stationary and non-homogeneous observations? Through trading bots, we illustrate how De…
Time your hedge with Deep Reinforcement Learning
Eric Benhamou, David Saltiel, Sandrine Ungari +1
Can an asset manager plan the optimal timing for her/his hedging strategies given market conditions? The standard approach based on Markowitz or other more or less sophisticated fi…