Vineet R. Shenoy

I am a doctoral student at Johns Hopkins University and work with Professor Rama Chellappa. Previously, I worked as a software engineer at Blutag. I received my bachelors degrees in Electrical and Computer Engineering as well as Computer Science from Rutgers Unversity-New Brunswick

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I am broadly interested remote physiological monitoring using cameras, with a particular focus on imaging Photoplethysmography (iPPG). I have developed algorithms for lab-based iPPG, and more recently, built algorithms for clinical applications and real-world settings.

We apply iPPG techniques to hands with acute trauma for perfusion assessment in-field

We obtain iPPG estimates from facial video by solving an inverse problem using deep equilibrium models

We build a UNet model for imaging Photoplethysmography that achieves state of the art results for data in both the near-infrared domain as well as the RGB domain

We generate pseudo-samples from low-data classes and learn a robust model using contrastive learning for the task of Few-Shot Object Detection

We obtain the Blood Volume Pulse (BVP) wave from facial video by solving an inverse problem with learnable priors

We develop a real-time multi-camera tracking system that works on operational camera data. We integrate the system into the RITIS platform and evaluate our algorithms on the AICITY 2021 Multi-Camera Tracking dataset

We classify vehicle actions as such as "right turn", "left turn" and "straight through" by solving a sixth-order polynomial that depends on the vehicle's trajectory and the parametric definition of a movement.

As a part of the NVIDIA AI Challenge, we develop robust algorithms for multi-camera tracking, vehicle re-identification, and anomaly detection. We are among the top scoring teams on the public leaderboard

As higher priority spectrum users request access to the 3.7 GHz band, incumbent users must determine when to vacate the band and when to request more access. We study timing constraints so that the channel is used efficiently and all FCC timing requirements are met.