// Electrical and Electronics Engineering
Calvin Glisson
PhD Student · UC Riverside · Computational Imaging
My research explores frequency domain methods for autonomous driving perception. I develop novel data augmentation techniques and computational imaging approaches that push the boundaries of camera-based scene understanding, with a focus on bird's-eye-view map segmentation.
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conference 2025
HSDA: High-Frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation
2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025)
Proposes frequency domain data augmentation using FFT and Gaussian filters for camera-based BEV map segmentation. Achieves 61.3% mIoU, new benchmark for camera-only systems.