📐 Configurable Custom Crop widget for Android

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

🧠 Build and explore a minimal SystemVerilog neural processing unit with LLM and ONNX modes, supporting GPT-2, LLaMA, Mistral, and more.

Computer vision exercises

wiener process.

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.

South-California earthquakes data analysis.

Features a real-time Streamlit Digital Twin dashboard, pre-trained USTT models, and a scale-invariant inference engine achieving 1ms latency for microgrid control.

Applying convolutional neural networks with scale-invariant temporal/spatial history to speech and image datasets

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.