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I am a third year Computer Science PhD student at Brown University, where I am advised by Professor Daniel Ritchie. My work is supported by the NSF Graduate Research Fellowship Program. I received my BS in computer science from The University of Texas at Austin in 2021, where I did research with Professor Chandrajit Bajaj. My research interests lie at the intersection of machine learning, computer graphics, and 3D computer vision. In my free time I enjoy creating 3D art, cooking, and playing chess. |
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I am interested in the applications of machine learning methods for representing, synthesizing, and manipulating 3D objects and scenes. |
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Arman Maesumi, Paul Guerrero, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Noam Aigerman, Daniel Ritchie
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Arman Maesumi*, Mingkang Zhu*, Yi Wang, Tianlong Chen, Zhangyang Wang, Chandrajit Bajaj
3D human meshes are cloaked from object detectors via adversarial texture maps, which are trained using differentiable rendering. |
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Arman Maesumi The College Mathematics Journal, 50:5, 364-371, 2019 journal / pdf The probability density function and moments (OEIS A279055) of the area of stochastically generated inscribed geometry are derived. Preliminary findings were presented at TUMC 2017. |
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In my free time, I enjoy creating 3D renderings and physical simulations using various software. More can be found here. The programs and tools that I use include: Blender, Cinema 4D, RealFlow, Vray, Octane, Arnold, Krakatoa, and more. |
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