1. Plan change¶

• Mohammed Sweilam. Thesis: Enhancement of consistent depth estimation for monocular videos / Улучшение согласованной оценки глубины для монокулярных видео

• Alexander Donets. Thesis: Automated thesaurus enrichment for the Russian Language using self-supervised deep learning approach.
• Alexander Donets. FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP link: https://www.aclweb.org/anthology/N19-4010/, reproducible: https://github.com/flairNLP/flair.
• Vasiliy Baranov. Thesis: Classification of COVID-19 in Computed Tomography using Deep Neural Networks. (Moved to 25 May)

2. Papers & thesis presenting¶

1 16:27-16:53 Oladotun Presentation
2 16:53-17:00 Sergey Pnev. Thesis (1st year): Алгоритм семантической сегментации томографических изображений с использованием DNN / Algorithm of semantic segmentation of tomographic images using DNN. Presentation
3 17:00-17:10 Vasiliy Baranov. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation link: https://arxiv.org/pdf/1612.00593v2.pdf, reproducible:https://github.com/charlesq34/pointnet. (Continue with reproducible report) Presentation
17:10-17:20 Alexander Rusnak. Report from previous time about the paper results reproducibility. (Moved twice from 16,23 March) Presentation

Recorded video: https://www.youtube.com/watch?v=rHF8AWqzLvQ