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Zorana Dozdor

@zoranadozdor

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Computer vision engineer specializing in self-supervised learning for activity and gesture recognition.

Croatia

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What I'm looking for

I seek research-driven roles in computer vision/ML where I can advance self-supervised and multimodal activity recognition, work with a collaborative team, and deploy efficient models for real-world and embedded systems.

I am a computer vision engineer focused on self-supervised learning and human activity recognition, currently conducting research at ZEMRIS laboratory, FER. My work centers on leveraging skeleton-guided methods to improve RGB-based action recognition and online gesture classification.

I have developed novel approaches including SV-data2vec, a latent skeleton-targeted video representation method, and TY-Net, a transformer-based model that predicts gesture classes and boundaries from continuous skeleton input.

My research portfolio includes publications at WACV, VISIGRAPP, and IEEE Access, and I have investigated lightweight CNN solutions and custom loss functions for facial age and gender estimation on embedded systems.

I hold a Master’s degree in Computer Science (2020) from FER, Zagreb, am pursuing doctoral studies in Computer Science (2025) with a focus on self-supervised learning and activity recognition, and I bring practical experience from a machine learning internship at Kraken.