Joseph Olufemi Davis

I'm a rising sophomore at Howard University in Washington, DC, interested in computer vision and perception. I am dedicated to pursuing a PhD, doing research on machine learning and CV. At Howard, I conduct research with Dr. Danda B. Rawat in the CoE-AIML. This summer, I am working with Dr. Marynel Vázquez in the Yale Interactive Machines Group (IMG).

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Research

Comparative Study of Point Cloud, Voxel, and Mesh Representations for 3D Semantic Object Detection
Joseph O. Davis, Danda B. Rawat
SPIE Defense + Security, 2026

The mesh data representation is more accurate, but considerably slower than the voxel and point cloud representations. Thus, it is more appropriate for less urgent tasks. The voxel representation is the fastest, but the least accurate. Thus, it is better suited for tasks where speed is more critical.