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Tiny Face Detector, CVPR 2017
Invariant representation learning from imaging and spectral data
[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images
Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis (CVPR 2023)
Scale-wise Convolution for Image Restoration
Tools (C/Matlab) for multifractal analysis of 1D (time-series) and 2D (images) signals
Numerical methods (C/Matlab) for multifractal singularity analysis of 1D (time-series) signals
Multipath derivation of a formal algebraic framework — the Algebra of Four-Fold Distinction — which is then applied across physics, cognition, and AI alignment. Includes technical and subjective narratives.
wiener process.
Computer vision exercises
This repository contains data, figures, and analysis supporting SymC Power Grid Optimization, which demonstrates predictive grid stability through scale-invariant substrate inheritance. Using synchrophasor data, the work shows early-warning precursors, irreversible degradation, and control protocols grounded in critical-damping physics.
Features a real-time Streamlit Digital Twin dashboard, pre-trained USTT models, and a scale-invariant inference engine achieving 1ms latency for microgrid control.
South-California earthquakes data analysis.
Applying convolutional neural networks with scale-invariant temporal/spatial history to speech and image datasets
An axiomatic 32-bit nested closed-loop logic framework for AI reasoning calibration, data protocol design, and biological homeostasis modeling.
Computational physics project studying scale invariance and critical dynamics in healthy human heart-rate fluctuations using PhysioNet data.
Desktop application incorporating classical feature engineering techniques including SIFT features and corners detection.
Shape Budget studies how normalized source separation governs geometry under fixed reach budgets. Starting from ellipse eccentricity as a “budget governor,” the repo develops experiments on asymmetry, anisotropy, and multi-source families, showing when compact control objects act as operational latent variables recoverable from boundary data.
Scale-Invariant Global-Local Direct Search for Engineering Design Optimization (JCDE-2026-065)
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