Nikos Ypsilantis

Nikolaos-Antonios Ypsilantis

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Contact:
ypsilnik@fel.cvut.cz

About me

I am a Ph.D. Student at the Visual Recognition Group, Czech Technical University in Prague, where I am working on large-scale visual recognition under the supervision of Professor Ondrej Chum.

Previously, I obtained my Engineering Diploma (5 year degree) at the school of Electrical & Computer Engineering, National Technical University of Athens. My major was in Computer Science with a specialization on Deep Learning and its applications to Computer Vision and Natural Language Processing.

During the final year of my Diploma studies, I was also a Research Intern at the Visual Recognition Group, Czech Technical University in Prague under the supervision of Assistant Professor Giorgos Tolias. There, I worked on Instance-Level Recognition, a special kind of visual recognition that aims to recognize specific instances of objects and not only their semantic class.

News

[Jan. 22] : Exciting news! I was accepted to start my Ph.D. studies at the Visual Recognition Group, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague. I will be working on large-scale visual recognition under the supervision of Professor Ondrej Chum.

[Oct. 21] : I presented the Met Dataset at the 4th Instance-Level Recognition Workshop of ICCV'21. Here is the video of the presentation.

[Oct. 21] : My first paper got accepted at NeurIPS 2021 Track on Datasets and Benchmarks! Special thanks to my supervisor Giorgos Tolias and the rest of the team members for this amazing collaboration!


Publications

[1]: Nikolaos-Antonios Ypsilantis, Noa Garcia, Guangxing Han, Sarah Ibrahimi, Nanne Van Noord, Giorgos Tolias: The Met Dataset: Instance-level Recognition for Artworks, Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2). 2021 [project page]

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