I conduct research in computer vision with specific focus on object detection and recognition.
Till now, I have worked on various different projects for benchmarking applications of computer vision.
I prefer to follow an intuitive approach to identify and solve pre-existing problems using
mathematical and statistical foundations. I thoroughly believe that there will come a day
when all we will require to detect, identify and describe objects will be a mobile phone
equipped with a camera. This is the world that I look forward to and I want to add to
it as much as I can as a researcher.
I have also started kindling with the continual learning problem for computer vision tasks specifically classification.
I am hoping to publish a paper soon on it.
On the more personal side of my life, I am an avid reader and gamer. I have been an editor
for my college magazine and have a knack for writing as well. I hope to publish a book soon.
SAF-BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression
WACV 2019 (to appear)
ViS-HuD: Using Visual Saliency to Improve Human Detection with Convolutional Neural Networks
Facial Expression Recognition using Visual Saliency and Deep Learning
A Semi Automatic Image Annotation Tool to help create object detection datasets faster.
A Tool which helps you to convert popular image annotation formats to other popular image annotation formats.
My emotion recognition code incorporates a detection recognition pipeline to understand emotions in real-time.
A GUI demo using convolutional neural network and single shot detector to identify 20 objects in images.
MATLAB implementation to predict wind speed on the basis of temperature and season. The London Meteorological Data was used for training.