In this post, we will explain the image formation from a geometrical point of view. Specifically, we will cover the math behind how a point in 3D gets projected on the image plane. This post ...
Imagine you trained a deep learning model on some dataset. A few days later, you want to reproduce the same experiment, but if you were not careful, you may never be able to reproduce the same ...
In today's post, we are covering the topic of Gaze Estimation and Tracking. I was invited to give a talk on the subject at a workshop on Eye Tracking for AR and VR organized by Facebook Research ...
We do in house annotations for many of our projects, as well as use third party services, in case of larger projects. One of our main collaborators in for annotations is rProcess. rProcess is a ...
In many computer vision applications, the processing power at your disposal is low. In such cases, we have to use simple, yet effective techniques. In this post, we will cover one such technique ...
In this post, we will discuss the paper "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks" At the heart of many computer vision tasks like image classification, object ...
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