Vladimir Iashin
Deep Learning Engineer at Revolut
Oxford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolVladimir Iashin is a postdoctoral researcher at the Visual Geometry Group, University of Oxford, where he designs deep learning models to fuse video, audio, and text for multimodal understanding. Over a nine-year research trajectory, he has progressed from a Doctoral Researcher at Tampere University to his current Oxford appointment, building neural networks that connect diverse sensory streams. His work sits at the intersection of computer vision, audio processing, and natural language, translating complex, multi-sensor data into meaningful representations. He holds a PhD with distinction in Electrical Engineering and Computer Science from Tampere University and an MSc with distinction in Applied Mathematics and Computer Science from the Higher School of Economics, complemented by a BSc in Economics. Based in Oxford, he combines rigorous theoretical training with hands-on experimentation to push the boundaries of video understanding and multimedia AI.
9 years of coding experience
7 years of employment as a software developer
Master of Science (with distinction), Applied Mathematics and Computer Science, GPA: 9.2/10, Master of Science (with distinction), Applied Mathematics and Computer Science, GPA: 9.2/10 at Higher School of EconomicsDoctor of Philosophy, PhD (with distinction), Electrical Engineering and Computer Science, Doctor of Philosophy, PhD (with distinction), Electrical Engineering and Computer Science at Tampere University
Github Skills (200)
visual-studio-code-extension10
vowpal-wabbit10
lan10
parallel10
feature-extraction10
python10
language-server-protocol10
vim10
datasets10
multi-modal10
deep-learning10
speech10
gpu10
visual-studio10
flask10
Programming languages (9)
Github contributions (5)
v-iashin/SpecVQGAN
Oct 2021 - Jun 2022
Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)
Contributions:20 commits, 13 pushes, 56 comments in 7 months
audioaudio-generationbmvcevaluation-metricsgan
v-iashin/MDVC
Apr 2020 - May 2021
PyTorch implementation of Multi-modal Dense Video Captioning (CVPR 2020 Workshops)
Contributions:28 commits, 2 PRs, 24 pushes in 1 year 1 month
activitynet-captionsaudiocvpr-workshopdense-video-captioningi3d
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