I am a Ph.D. student at Skoltech advised by Victor Lempitsky and research engineer at Samsung AI Center.
I try to synthesize things that people currently cannot.
During my studies, I have contributed to 3D representations, image synthesis, and human avatars. I hope that soon we will be able to scan the whole world, including ourselves to improve the immersive communications.
Prior to that, I investigate the application of reinforcement learning for discrete optimization under the supervision of Prof. Ivan Oseledets.
Earlier, I was a part of the DeepPavlov project, where we studied word representations for text with missplellings.
The scene can be represented as a set of semi-transparent mesh layers from just stereo pair without loss of the quality.
This representation allows effortless estimation and fast rendering.
Additionaly, we published a dataset with occluded region - SWORD - for novel view synthesis.
Our generator produce images without any spatial convolutions.
Each pixel synthesized separetly conditioned on noise vector.
We investigate properties of such generator and
propose several applications (e.g. super-res, foveated rendering).
We suggest a new language-independent architecture of robust word vectors (RoVe).
It is designed to alleviate the issue of typos, which are common in almost any user-generated content, and hinder automatic text processing.
Our model allows it to deal with unseen word forms in morphologically rich languages before contextualized language models.
Deeppavlov: Open-source library for dialogue systems
Mikhail Burtsev, Alexander Seliverstov, Rafael Airapetyan,
Mikhail Arkhipov, Dilyara Baymurzina, Nickolay Bushkov,
Olga Gureenkova, Taras Khakhulin , Yuri Kuratov, Denis Kuznetsov,
Alexey Litinsky, Varvara Logacheva, Alexey Lymar, Valentin Malykh,
Maxim Petrov, Vadim Polulyakh, Leonid Pugachev, Alexey Sorokin,
Maria Vikhreva, Marat Zaynutdinov
ACL, System Demonstrations , 2018
/ TF blog
Open-source library for end2end conversational NLP.
The webpage template was borrowed from Jon Barron.