Alexander 'Sasha' Vilesov

I am a PhD student in the Visual Machines Group with Achuta Kadambi at UCLA where I work on computer vision and computational imaging.

Before starting my PhD, I received my bachelors in Electrical and Computer Engineering at the University of Southern California (USC) in 2021. In 2020-2021, I worked at NASA JPL on TriG GPS receivers (mounted on Cosmic-2) to support tracking of GALILEO satellites.

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Within computer vision and computational imaging, I have interests in Text-To-3D Generation, Image Diffusion models, and Human-centric Computer Vision. I am interested in research towards developing scalable large-scale scenes with applications in content generation and entertainment. Additionally, I am actively pursuing finding novel health sensing techniques with unique hardware combinations and algorithmic approaches.

We present a method for 3D generation of multi-object realistic scenes from text by utilizing text-to-image diffusion models and Gaussian radiance fields. These scenes are decomposable and editable at the object level.

Despite the wide use of thermal sensors for temperatures screening, estimates from thermal sensors do not work well in uncontrolled scene conditions such as after sun exposure. We propose a single-shot correction scheme to eliminate solar loading bias in the time of a typical frame exposure (33ms).

To overcome fundamental skin-tone biases in camera-based remote plethysmography, we propose an adversarial learning-based fair fusion method, using a novel RGB Camera and FMCW Radar hardware setup.