Shalini De Mello

Shalini De Mello, Ph.D.
Senior Research Scientist

Shalini joined the Mobile Visual Computing group within Nvidia Research in April 2013. From March 2011-2013, she worked as a Senior Mobile Computer Vision Engineer at Nvidia, where she designed and productized computer vision and computational photography solutions for mobile platforms and GPUs.

Previously, she worked as an Imaging and Architecture Scientist at Texas Instruments (2008-2010) desiging algorithms for the image signal processing pipeline of mobile phones. She has interned at AT&T Laboratories on their IPTV project and at Advanced Digital Imaging Research, LLC where she designed algorithms for 3D human face recognition.

Shalini received her Masters and Doctoral degrees in Electrical and Computer Engineering from the University of Texas at Austin in 2004 and 2008, respectively. She received a Bachelor of Engineering degree in Electronics and Electrical Communication Engineering from Punjab Engineering College, India, in 2002. She is a recipient of the Summer Research Fellowship 2001 awarded by the Jawaharlal Nehru Center for Advanced Scientific Research, Bangalore, India.

For a complete list of publications visit Google Scholar.

Research Interests:

Image, video and 3D data processing, computer vision, automotive vision, machine learning and statistical pattern classification, computational photography, detection theory, bio-metrics and medical image analysis.

Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Networks
Towards Selecting Robust Hand Gestures for Automotive Interfaces
Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks
Robust Model-based 3D Head Pose Estimation
Hand Gesture Recognition with 3D Convolutional Neural Networks
Short-Range FMCW Monopulse Radar for Hand-Gesture Sensing
Multi-sensor System for Driver’s Hand-Gesture Recognition