Portfolio item number 1
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A log-based feature transformation method for detecting changes in heterogeneous remote sensing image pairs.
A generative adversarial network-based approach for change detection in multispectral remote sensing images.
A multi-task learning framework for color constancy under multiple illuminants via joint local surface and light color estimation.
An unsupervised domain-adaptation pipeline for nighttime color constancy using Adaptive Channel Masking and a Light Uncertainty module, reducing mean angular error by 21.5% over prior state-of-the-art.
The first I2I translation framework that actively detects and suppresses target-class hallucinations using a dual-head discriminator with SAM2 pseudo-labels, improving mAP by +15.5% on BDD100K day-to-night adaptation. Oral presentation.
Proposes a Mixture-of-Encoder Adapter (MoEA) framework that integrates diverse cues for robust AI-generated image detection, achieving 89.7% average accuracy on GenImage.
Reformulates color constancy as an iterative perceptual-feedback process using VLMs, achieving 36.8% reduction in mean angular error and 43.6% in Worst-25% error on the Gehler-Shi dataset.
A multi-modal object re-identification framework that aligns cross-modal representations via frequency-domain unification and spectral energy alignment.
The first VLM training framework for AI-generated image detection without reasoning annotations, achieving 96.7% / 82.4% accuracy on GenImage / Chameleon.
Published:
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Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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