Computer vision [Discussion]
In the discussion, we’re going to talk about the current state of Computer Vision, difficulties and tricks on the way of creating ideal products in CV, long-tail issue, performance issues, product features interpretation for users. It should be interesting for data scientists, engineers, product managers, product owners.
Vote and propose your topic here - https://app.sli.do/event/hnnmthu5/live/questions
Moderator: Alex Lazarev (Research Engineer @ Ring Ukraine)Experts:
- Igor Krashenyi (Sr. Research Engineer @ Ciklum
- Alexander Onbysh (Research Engineer @ Ring Ukraine)
- Kyryl Truskovskyi (Neuromation)
- Oles Petriv (Head of R&D @ NeoCortext and VideoGorillas)
- Sergey Kuprienko (GM Research @ Ring Ukraine)
Kyryl Truskovskyi
BorealisAI
- Kyryl has over 7 years of experience in the field of Machine Learning
- He currently holds the position of MLSE (machine learning software engineer) in the Canadian company BorealisAI
- For the bulk of this career, he has helped build machine learning startups, from inception to product.
- He has also developed expertise in choosing and implementing state of the art deep learning architectures and large-scale solutions based on them.
- Twitter, GitHub
Alex Lazarev
Head of Research
- Head of Research
- Specialized in: CV, Deep Learning/Machine Learning (objects classification, motion detection, segmentation, GANs etc.)
- Sphere of interests: AI, Video Games, Music, Yoga, Table Tennis
Igor Krashenyi
PiñataFarms
- Computer Vision Research Engineer @ PiñataFarms
- PhD in Biological and Medical Candidate of Science in Biological and Medical Devices and Systems
- Specializes in Deep Learning for computer vision tasks
- He is fond of machine learning competitions, Kaggle Master
Alexander Onbysh
Head of ML Pipelines
- Head of ML Pipelines
- Main field of interest is high-load distributed systems. Has decent experience in production CV pipelines with real-time video stream processing. Was working on developing motion detection, object detection, face recognition pipelines.
- Specialized in CV/DL, system architecture, video streaming, performance optimizations.
- GitHub, LinkedIn
Oles` Petriv
CTO & Co-founder of Reface
- CTO and Co-founder of Reface. Reface is a Ukrainian multi-product company whose apps are used by over 250 million people worldwide (Reface, Revive, Restyle, Letsy, Ink AI, Reshoot, BitePal, Honestly)
- He has been developing artificial neural network-based systems for 15 years in the fields of computer vision, NLP, and Generative AI
- He studied at the Kyiv-Mohyla Academy and has many years of experience creating products for video analytics and media quality enhancement for major Hollywood studios (Sony Pictures, Disney, Netflix, etc.) at VideoGorillas
- He is the author of several educational courses on machine learning fundamentals, holds patents for facial feature modification technologies in video, and has developed analytical systems for news analysis, automation technologies for analytics in the retail sector, and elevation map modeling systems based on satellite imagery. He is actively involved in the development of agent-based systems powered by multimodal language models
- He is a member of the board of directors of AI HOUSE, the largest AI community in Ukraine
Sergey Kuprienko
Ring Ukraine
- GM of Research @ Ring Ukraine
- Leads Research division of Ring, the smart doorbell company
- He was building CV and text recognition systems running on ARM