Deep Neural Notebooks

DNN 1: Deep Learning for Computer Vision, Computational Photography & HDR imaging | Shanmuganathan Raman

In the first episode of the Deep Neural Notebooks podcast, I talk with Shanmuganathan Raman, who is an Associate Professor of Electrical  & Computer Science Engineering at IIT Gandhinagar. He has been my mentor for my research internship at IIT. He has obtained his MTech and PhD degrees from IIT Bombay and was a post-doc research associate at Department of Electrical Engineering, Indian Institute of Science (IISc), Bangalore. His PhD thesis on 'Low Dynamic Range solution to High Dynamic Range Imaging problem' received the IIT Bombay Excellence in PhD Thesis Work' Award. His research interests include Computer Vision, Computational Photography, Machine Learning and Computer Graphics.

In this episode we discuss his educational background, his theses, the state of HDR imaging and computational photography. We also talk about deep learning, the scope of traditional algorithms in a DL-minded society and the road ahead.

Relevant links:

Prof. Shanmuganathan Raman: people.iitgn.ac.in/~shanmuga/

Deep Neural Notebooks:

Deep Neural Notebooks is a podcast where I like to discuss a multitude of topics, ranging from Deep Learning and Computer Vision to Neuroscience and Open Source Software, through conversations with experts about their thoughts on the state of their specialisations, how things fit into the bigger picture, their journey so far and the road ahead.

I believe that it is through conversations like these that we can boil down the essence of vast resources of knowledge and expertise into more consumable bits that can enrich our understanding of concepts and technologies that are shaping our world.

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