计算学部百人百家国际学者系列报告—用于形状建模和重建的三维深度学习

报  告  人:Evgeny Burnaev教授
单  位:斯科尔科沃科学技术研究院(俄罗斯)
会 议 地 点:活动中心320
报告时间:2025年4月2日(星期三)14:00-15:00
邀   请  人:张伟男教授           主 持 人:张伟男教授

 

3D Deep Learning for shape modeling and reconstruction

Abstract: Geometry processing tasks arise in various fields of science and industry. The wide availability of 3D scanners leads to large amounts of 3D data accumulation. Despite the vast availability of 3D sensors and the massive amount of 3D geometry acquired and generated daily, only a few large collections of 3D models are available, and even fewer suitable architectures to process them. Acquiring or creating high-quality 3D models is still difficult, despite the growing availability of 3D sensors and improvements in 3D design tools. Existing datasets often need more reliable ground truth annotations; existing approaches need more flexibility. In this talk, I will present our recent 3D geometry reconstruction and shape modeling results that eliminate some of these shortcomings.

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Bio:Evgeny Burnaev is the Director of Skoltech Artificial Intelligence Center, Professor, Doctor of Physical and Mathematical Sciences, and a member of the Scientific Council of the AI Alliance.

His research interests focus on the mathematical foundations of generative AI and the development of predictive analytics technologies, including industrial applications. Between 2019 and 2025, Professor Burnaev published around 120 scientific papers, over 60 of which appeared in top-tier journals and A/A* AI-conferences (NeurIPS, ICML, CVPR, etc.). For the second consecutive year, he is listed among the top 2% of the world’s most cited researchers, according to Stanford University and Elsevier.

Previously, Evgeny led the Laboratory for Intelligent Data Analysis and Predictive Modeling at the Institute for Information Transmission Problems of the Russian Academy of Sciences (IITP RAS). In parallel, Evgeny collaborated with Huawei, Airbus, SAFT, IHI, Sahara Force India (Formula 1), and other industrial partners. These collaborations, ongoing since 2007, have given him extensive experience in deploying machine learning methods in real-world industrial systems.

Since 2021, Evgeny has headed Skoltech Applied AI Center — launched as part of the National “Digital Economy” Project with support from the Analytical Center under the Government of the Russian Federation and various industry partners. In late 2024, the center was rebranded as the Skoltech Artificial Intelligence Center, bringing together all existing university research groups and labs dedicated to AI technologies.

Among Professor Burnaev’s awards are the Moscow Government Award for Young Scientists in the category “Transmission, Storage, Processing, and Protection of Information,” the Yandex Ilya Segalovich Award in the “Scientific Supervisors” category, and numerous best paper honors (including research in esports and geometric data analysis). In 2024, he received the Government of the Russian Federation Award in Science and Technology, departmental insignia of the Autonomous non-profit organization «Digital Economy» for «Significant contribution to the development of scientific research in the field of artificial intelligence», departmental insignia of the Ministry of Economic Development of the Russian Federation «Gratitude of the Minister of Economic Development of the Russian Federation» for achievements in the development of Artificial Intelligence, as well as the Sber Science Award in the “Digital Universe” nomination.