A conventional video or picture captures the three-dimensional world in two dimensions, losing crucial information regarding depth, which many applications now demand. Depth estimation is a ...
You can scarcely find a good article on deploying computer vision systems in industrial scenarios. So, we decided to write a blog post series on the topic. The topics we will cover in this ...
In today’s blog post you will learn how to train your own fast style transfer network in PyTorch and deploy the model to get live style transfer effect on a web meeting on Zoom/Skype/ Microsoft Teams ...
The Intel-OpenVINO Toolkit provides many great functionalities for Deep-Learning model optimization, inference and deployment. Perhaps the most interesting and practical tool among them is the ...
Our last couple of posts have thrown light on an innovative and powerful generative-modeling technique known as Generative Adversarial Network (GAN). Yes, the GAN story started with the vanilla GAN. ...
Last week we published a post, Introduction to Generative Adversarial Networks (GANs), where we introduced the idea of GANs. We also discussed its architecture, dissecting adversarial loss function, ...
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In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products.
