Image processing and photogrammetry routines for satellite and UAV imagery. Sensor models, tiling, orthorectification, and feature management.
Neural Field Turing Machines for iterative image inpainting and denoising. BDMA research project extending the NFTM pipeline (Malhotra & Seghouani, 2025) to CelebA-HQ and real camera noise (SIDD), with comparisons against U-Net, TV-L1 and DDPM baselines.
Fast GPU viewer for SAR and ISAR images: NITF (SICD, SIDD), TIFF, BigTIFF, COG. Rust + wgpu + egui.
Computationally efficient neural architecture search for image denoising — RL controller + weight sharing on a DHDN search space with JS-divergence-guided dataset subsampling. Published in IEEE Access (2025).
Loss-controlled Noise2Noise study: the training pair distribution, not the loss function, carries the inductive bias. Code + per-image metric dumps.
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