Work
Flagship projects grouped by focus area.
CVMask2Former Optimization Pipeline
PyTorch → ONNX → INT8 quantization; edge-ready segmentation.
Latency: ≈ -40%Acc Δ: ≤ 2%Edge: Jetson
CVImage Super-Resolution with ESRGAN
Upscaled medical/satellite imagery while preserving fine details.
PSNR: +30%Scale: x2/x4
CVSynthetic Data Generation (Diffusion + ControlNet)
Filled rare classes with targeted synthetic images.
Detection Acc: +12%
CVHybrid Cloud Face Identifier
Cloud + on-prem storage with <1s latency, 99% uptime.
Latency: < 1sUptime: 99%
CV6-DoF Tracking + Neural 3D Reconstruction
BundleSDF + Gaussian Splatting for robust object tracking.
Tracking Acc: +20%