Computer Vision News - November 2022

17 Ishit Mehta “ I think it’s the simplicity of it , ” he answers. “ We tried to draw ideas from three disparate communities. The paper appeals to most of these audiences. Our theoretical developments are easy to parse through, and anyone with a high school math education can probably understand what’s going on . We tried to focus on writing the paper well so that it reaches a bigger audience and doesn’t obfuscate the details. I think that more than the scientific contribution won it for us. ” Ishit is keen to point out that the work draws on the collective knowledge built by the community. It does not claim to be the latest and greatest method out there; it is just trying to have a conversation about what is a good geometry representation for shape optimization. “ We’re just trying to provide a lens to analyze existing techniques, ” he adds. “ That’s all we’re trying to do here. Our goal is not to be the best method out there. My only hope is that people getmore interested in this fascinating area of inverse shape optimization . If this paper even manages to bring a few more people into this space, I think that will be a job well done! ” the methods right now can model all of this complexity to recover all of these things together. It’s like skin. If I want to recover the geometry of my hand using images, it will be hard to do because of how the light interacts with our skin. It’s not a simple thing. ” There are many complex materials around us with complex geometry, each needing a solution. These challenges are far from being solved. There are a lot of open problems here. Can we expect to see Ishit receiving another award at CVPR next year for a paper bringing forward these kinds of technologies and further solving these kinds of problems? “ I doubt it! ” he laughs. “ Getting a Best Paper Award is extremely rare in your career, and it’s almost unfair to award two or three papers. It’s a very subjective thing. There are 1,500 papers at ECCV, which are all equally good. I’m lucky to be working on the right problem at the right time. ” We can tell the experience humbles Ishit. What does he think the judges saw in his paper that was particularly special? RABLE T I O N ARD CCV