Controllable Unsupervised Image Generation (PhD Research)
Published:
Unsupervised GAN architecture for content-style disentanglement enabling image style transfer, domain translation, and attribute manipulation — without label supervision.
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Unsupervised GAN architecture for content-style disentanglement enabling image style transfer, domain translation, and attribute manipulation — without label supervision.
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GAN-based research on few-shot font generation, font family synthesis, and text image skeletonization — with publications in CVPR, Expert Systems with Applications, Knowledge-Based Systems, and IJDAR.
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Real-time deep learning systems for driver and occupancy monitoring, seatbelt detection, drowsiness, and ADAS features deployed on edge hardware.
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Multi-camera 3D perception, monocular depth-based pseudo-LiDAR, autonomous wheelchair prototype, and gesture-based human-robot interaction.
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27-camera smart factory intrusion and defect detection system, road anomaly detection, gaze estimation, and model deployment on Jetson, TI, and Hailo hardware.
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Postdoctoral research on drunk/impaired driver detection using thermal (LWIR) cameras, VLM-based evaluation pipelines, and open-vocabulary detection for driver monitoring.