1 citations · 1 across the 5 of their papers we have counts for
5 papers
Smartphone Audio Based Distress Detection
Anil Sharma, Sarthak Ahuja, Mayank Gautam +1
We investigate an unobtrusive and human distress detection and signaling system, Always Alert, that requires the smartphone, and not its human owner, to be on alert. Th…
Intelligent Querying for Target Tracking in Camera Networks using Deep Q-Learning with n-Step Bootstrapping
Anil Sharma, Saket Anand, Sanjit K. Kaul
Surveillance camera networks are a useful infrastructure for various visual analytics applications, where high-level inferences and predictions could be made based on target tracki…
A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving
Mayank K. Pal, Rupali Bhati, Anil Sharma +3
Our premise is that autonomous vehicles must optimize communications and motion planning jointly. Specifically, a vehicle must adapt its motion plan staying cognizant of communicat…
A Reinforcement Learning Approach to Target Tracking in a Camera Network
Anil Sharma, Prabhat Kumar, Saket Anand +1
Target tracking in a camera network is an important task for surveillance and scene understanding. The task is challenging due to disjoint views and illumination variation in diffe…
Foresee: Attentive Future Projections of Chaotic Road Environments with Online Training
Anil Sharma, Prabhat Kumar
In this paper, we train a recurrent neural network to learn dynamics of a chaotic road environment and to project the future of the environment on an image. Future projection can b…