I'm interested in computer vision, machine learning, optimization, and image processing. Much of my research is about inferring the physical world (shape, motion, color, light, etc) from images. Representative papers are highlighted.
The paper demonstrates the real time facial emotion recognition in
one of the seven categories o emotion that are angry, disgust, fear,
happy, neutral, sad and surprise.
The project demonstrates the real time car logo detection using images and the model is trained on ResNet and VGG.
It is a 28 class classification problem with whooping 87% accuracy. See the project page for more information.
A deep learning algorithm/ architecture to detect the (x, y) coordinates of the wrist points as shown in the image for real-time application.Annotaed 80 images with keyframes and Augmented the data to 7200 image and trained the model on ResNet152v2.
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