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In this episode, I interview Varun Jampani, who is a Research Scientist at Google Research. You might recognise him from the renowned Super SloMo paper. His work lies at the intersection of Computer Vision and Machine Learning. His main focus is to leverage machine learning techniques for better inference in computer vision models. Prior to joining Google, he was a research scientist at NVIDIA. He completed his PhD at the Max-Planck Institute (MPI) for Intelligent Systems. He is also a IIIT Hyderabad alum, where he did his Bachelor's and Master's. In this episode we talk about his journey — from his Bachelor's and Masters at IIIT Hyderabad to his PhD at MPI, about how his research has shaped over the years and about his focus on always asking good research questions and tackling fundamental problems in Computer Vision as a whole. We also talk about the SuperSloMo paper, about how it started, the key design decisions that were taken and the challenges faced along the way. If there's one thing that you are likely to take away from this conversation, it is the importance of asking good research questions and letting that drive your learning and research. These podcast conversations are also available on all major podcast streaming platforms, like Apple Podcasts, Spotify, Google Podcasts, Anchor etc. I hope you like the episode, and learn something valuable from this conversation. Thank you. Guest: Varun Jampani: https://varunjampani.github.io/ Links: CVPR 2020 Novel View Synthesis Tutorial: • [CVPR 2020] Novel View Synthesis Tutorial Audio podcast links 🎧 : Spotify: https://tinyurl.com/y7u98d7m Apple Podcasts: https://tinyurl.com/y8w7tkhf Google Podcasts: https://tinyurl.com/y8aas5le Anchor.fm: https://tinyurl.com/ycudgfse Connect with me 🙎🏻♂️: Twitter: / mkulkhanna Instagram: / mkulkhanna Deep Neural Notebooks podcast 🎙: Website: https://mukulkhanna.github.io Youtube: / @mkulkhanna Spotify: https://open.spotify.com/show/2eq1jD7... Apple Podcasts: https://podcasts.apple.com/in/podcast... Google Podcasts: https://tinyurl.com/y83px7d8 Anchor: https://anchor.fm/deep-neural-notebooks