Master’s in Computer Vision Students Defend Term Papers for First Time
Second-year students of the Master of Computer Vision programme have presented their projects in this cutting-edge field in AI. The committee included representatives of the programme’s partners from Huawei, YADRO and SBERLAB, as well as Valery Cherepennikov, IT advisor to the governor of the Nizhny Novgorod region.
The committee was made up of HSE University staff and students’ academic supervisors, including Academic Supervisor of the programme Andrey Savchenko, Dean of the Faculty of Informatics, Mathematics, and Computer Science Natalia Aseeva, and the programme’s industry partners: Huawei, YADRO, and SBERLAB. The defence opened with some words of support for the students from Valery Cherepennikov, vice president of Huawei’s research centre in Nizhny Novgorod and IT advisor to the governor of the Nizhny Novgorod region. Mr Cherepennikov will also become the chair of the State Examination Board for master’s defences at HSE University in June 2023.
The second-year term paper defence was conducted in English and served as a summation of the preliminary results of students’ education on the Master of Computer Vision programme, as the majority of term papers will be continued in the form of master’s theses. The students defended their works remotely using the webinar.ru platform.
The public term paper defence was an opportunity for the students to gain valuable experience presenting their research results and participating in scientific discussions. They were able to learn more about the rules and ‘ritual’ of public defence by experiencing it for themselves: learning about how to construct opening remarks, the logic of a defence, and how to formulate and argue one’s own position.
We asked the students to share their thoughts.
Alexey Berezkin, student of the Master in Computer Vision programme
I was quite worried before the defence because my academic supervisor didn’t like the paper very much, which was pretty reasonable on his part. Everything went smoothly after the start—I was well prepared. Unfortunately, I had underestimated the scale of the work that had to be presented. The committee asked very good questions and I enjoyed answering them. It was also very nice that nobody interrupted and everyone let each other speak (although I confess that accidentally interrupted one of the members of the committee one time). My academic supervisor was a huge help with the presentation, giving me a lot of good advice that allowed me to construct a coherent and complete description of the work done.
First-year students invited to the defence were able to witness the real defence process in English and evaluate the chosen project topics from the perspective of their future research.
Congratulations to the students on their successful term paper defences and we wish them success in their future research!
The students and their papers:
- ‘Supervised and Self-supervised Learning for Depth Estimation’ by Kumar Nikhil. Academic supervisor: Ilya Makarov.
- ‘Self-supervised Learning in Depth Estimation’ by Abdullah Mushref Alghamdi. Academic Supervisor: Ilya Makarov.
- ‘Deep Learning for Detection of Blurred Images’ by Alexey Berezkin. Academic supervisor: Maxim Kazakov.
- ‘Transformers for Domain Adaptation in Deep Learning and ECG’ by Alexandr Byzov. Academic supervisor: Konstantin Egorov.
- ‘Student's Engagement Prediction Based on Facial Analytics in Video’ by Anton Gusev. Academic supervisor: Andrey Savchenko.
- ‘Algorithmic Trading via Deep Reinforcement Learning’ by Ka Yeung Lam. Academic supervisor: Ilya Makarov.
- ‘Facial Expression Recognition Using Synthetic Dataset’ by Bao Long Nguen. Academic supervisor: Andrey Savchenko.
- ‘Drug Discovery via Graph Neural Networks’ by Anastasiya Nichiporchuk. Academic supervisor: Ilya Makarov.