Domen Tabernik
Research Associate
Slovenia
Summary
👤
Senior🎓
Top SchoolDomen Tabernik is a research-focused computer vision scientist with nine years of experience developing hierarchical visual representations, spanning compositional models and deep neural networks. Based at the Visual Cognitive Systems Lab at the University of Ljubljana, he applies these models to detection and recognition tasks across practical domains such as mobile vision, industrial defect inspection, and large-scale traffic sign recognition. His doctoral work and EU-collaborative research (including a stint at the University of Birmingham on the PaCMan project) reflect a strong mix of theoretical depth and applied problem solving. Beyond supervised learning, he explores semi- and unsupervised methods to make object representation more robust and scalable. Colleagues know him for bridging rigorous academic research with hands-on engineering to deliver deployable computer vision solutions.
9 years of coding experience
12 years of employment as a software developer
Doctor of Science, Computer Science, Doctor of Science, Computer Science at University of Ljubljana, Faculty of Computer and Information Science
English, Slovenian
Github Skills (23)
python10
machine-learning9
surface9
tensorflow9
neural-network9
deep-learning9
supervised-learning8
deep-neural-networks8
ml8
data-science8
api6
docker-container6
docker6
docker-image6
frp5
Programming languages (5)
Github contributions (5)
skokec/DAU-ConvNet-cifar10-example
Sep 2018 - Apr 2023
Contributions:2 pushes, 2 branches in 4 years 7 months
skokec/DAU-ConvNet
Mar 2018 - Aug 2020
Contributions:5 releases, 121 commits, 98 pushes in 2 years 5 months
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