6 DAILY CVPR Wednesday trustworthiness of algorithmic results. In these scenarios, agents might leverage images or video to build a probabilistic model of the surrounding world, which can significantly enhance reliability, safety, and efficiency. Being chosen as an award candidate for the first time is a high enough achievement, but it is even more special for Bailey, as this is his first CVPR. He puts the positive reception down to how timely the work is given recent advancements in surface reconstruction and novel view synthesis algorithms based on volume rendering, which have worked well but for unclear reasons. “By providing this perspective and saying, ‘Here’s an explanation for why all these volume rendering methods work so well,’ we can understand why we can model the world in this particular way and why we’ve had success with it,” he points out. “We can understand the current state of the art but also develop a perspective on these methods that allows us to continue improving. I love thinking about how we model the world and how the underlying assumptions we make in our models impact the algorithms and methods we ultimately develop.” Award Candidate
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