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Odessa, Ukraine

July 7, 2018


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About Event

Eastern European Conference on Computer Vision is a unique opportunity for computer vision researchers and developers to meet, share their knowledge, learn about new trends and find like-minded people. It should serve as a forum for ideas relevant to the use of vision and range sensors in robot perception, augmented reality and object recognition.

Our formula for a great conference: lectures + networking + sunny days + THE SEA.

It will be held at the same time as Odessa’s iconic fashion week, rock and jazz festivals, as well as other events.

The attendance is free of charge, but by invitation only! We are building a community of Computer Vision professionals with practical experience. To attend, please, register. We will review your application and confirm participation in a few weeks.

Vitaliy Goncharuk is the founder of the conference.

Event Schedule

  • 9:20 - 9:50 - Welcome Desk/Registration

  • 9:50 - 10:00 - Opening Session: Vitaliy Goncharuk

  • 10:00 - 10:30 - Session 1

    End-to-End Training of hybrid CNN-CRF Models for Fast and Accurate Stereo Alexander Shekhovtsov, Postdoc at Czech Technical University

  • 10:30 - 11:30 - Session 2

    The Future of model-based reconstruction Tolga Birdal,Doktorand at Siemens AG / PhD candidate at the Computer Vision Group

  • 11:30 - 12:00 - Coffee Break

  • 12:00 - 12:30 - Session 3

    Computer Vision will transform the delivery industry
    Sergii Kharagorgiev, Chief Computer Vision Engineer at Starship Technologies

  • 12:30 - 13:00 - Session 4

    Fetching face mesh from an image: from Gaussian noise to an obstructive nose Valeriy Krygin, Developer at GlobalLogic

  • 13:00 - 14:00 - Session 5

    Computer vision for radars: modern trends and challenges
    Ievgen Gorovyi, CEO, founder at It-Jim

  • 14:00 - 15:30 - Lunch Break

    Free time

  • 15:30 - 16:15 - Session 6

    Comparison of Bayesian strategy with commonly used Improper one for object presence recognition
    Viktor Sdobnikov

  • 16:15 - 17:00 - Session 7

    A new greedy algorithm for estimating a generative model for how coplanar repetitive patterns are projected into images
    James Pritts, Researcher at Center for Machine Perception

  • 17:00 - 17:15 - Coffee Break

  • 17:15 - 18:00 - Session 8

    Then, Now, Tomorrow: Neural Networks for Computer Vision
    Andrew Rabinovich, Director at Magic Leap

  • 18:00 - 19:00 - Panel Discussion

    Computer vision education

  • 22:00 - 01:00 - Exploring Odessa Night Life

Promotional Video

Speakers of the Event

Tolga Birdal is a PhD candidate at the Computer Vision Group at the Chair for Computer Aided Medical Procedures, TUM and a Doktorand at Siemens AG. His work focuses his research and development on large object detection, pose estimation and reconstruction. Recently, he is awarded Ernst von Siemens Scholarship and EMVA Young Professional Award 2016 for his PhD work. Aside from his academic life, Tolga is a natural Entrepreneur. He has founded multiple companies including Befunky, a widely used web based image processing platform. He is a Jazz lover, enjoys drumming and appreciates the delicate taste of whisky.
Tolga Birdal

PhD candidate at the Computer Vision Group at TUM (Munich)

Now: Researcher at Czech Technical University in Prague (Center for Machine Perception) Bio: Mr. Pritts received his BSc in Mathematics at The University of North Texas and his MSc in Computer Science from Czech Technical University. His current research is detecting and modeling repeated patterns in images. Prior to joining CMP, Mr. Pritts had an industry career in computer vision: He was a lead engineer at BAE Systems, where he contributed to several US Department of Defense (DARPA) computer-vision research efforts; at NASA, he created gesture-recognition software for remotely controlling robotic arms. Mr. Pritts is supervised by Dr. Ondrej Chum.
James Pritts

Researcher at Center for Machine Perception

Now: Director, Deep Learning at Magic Leap (raised $1.5b) Bio: UCSD, Computer Science, Ph.D. Magic Leap(3 years) - Deep Learning for Perception and Interaction in Augmented Reality. Google SW(6 years) - Computer Vision and Machine Learning algorithms for photo and video annotation: including object detection and classification, segmentation, feature learning, optimization, deep learning and big data.
Andrew Rabinovich

Director at Magic Leap

Oleksandr Shekhovtsov graduated in applied mathematics from the National Technical University of Ukraine ``Kiev Polytechnic Institute''. From 2001 to 2005 worked in Kiev under the supervision of Schlesinger, M.I. From 2005 to 2013 researcher and PhD student at Czech Technical University in Prague. In 2014 defended PhD thesis ``exact and partial energy minimization in computer vision'', supervised by Vaclav Hlavac.  2014-2016 postdoc at Graz University of Technology. 2017-present postdoc at Czech Technical University in Prague. Works in the area of discrete optimization and machine learning applied to computer vision.
Alexander Shekhovtsov

Postdoc at Czech Technical University in Prague (Center for Machine Perception)

Now: Chief Computer Vision Engineer at Starship Technologies BIO: After receiving a master's degree at NTUU "KPI", worked as a software engineer on projects related to embedded software, interactive multimedia, machine vision. Currently at Starship Technologies, company that is building a fleet of autonomous delivery robots. Working on preception for autonomous sidewalk driving, intergrating computer vison algorithms with robot's full sensor suite.
Sergii Kharagorgiiev

Chief Computer Vision Engineer at Starship Technologies

Now: Developer at GlobalLogic Ukraine BIO: Before becoming a developer at GlobalLogic, Valeriy was working for more than 2 years at Space Research Institute NAS Ukraine and SSA Ukraine. Just achieved Master's degree in Applied Mathematics at the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" (NTUU "KPI"). Working on research in patterns recognition field for last three years. Met Applied Statistics in Bachelor's thesis under the supervision of Dorogovtsev A. Master's thesis was done under the supervision of Sdobnikov V. and Schlesinger M., in which Valeriy has raised fundamental questions regarding the problem of an inverse rendering of a face from one or several images. Found several answers, implemented working application and pointed to next steps of the research. Has a great will to continue research of the problem and connect it with a future job.
Valeriy Krygin

Developer at GlobalLogic Ukraine

On current position Viktor is responsible for Apostera Strategic RnD Roadmap and Strategy development and implementation, which includes building Advanced Driver-Assistance Systems prototypes, involving state of the art computer vision and patterns recognition techniques. Has over ten years of experience in commercial and research projects in the field of computer vision and image recognition, as well as experience in technical project management at various stages and at different scales. Active co-organizer of the new master's specialization "Mathematical Methods of Patterns Recognition and Computer Vision". VP at Hackathon Expert Group.
Viktor Sdobnikov

Head of Strategic RnD at Apostera

Now: CEO, founder at It-Jim. Kharkiv, Ukraine. Bio: Ievgen has started his career at the research institution. As a result, he received a PhD degree in radar imaging and multiple awards for the best papers at different international conferences. Founder and CEO of company working in computer vision, pattern recognition and AI. He believes that computer vision has an overwhelming potential in a number of fields.
Ievgen Gorovyi

CEO, founder at It-Jim. Kharkiv, Ukraine.


Generic Questions About This Event

The conference will be an all-day event on the 14th of July 2017.
The conference will take place on the second floor of the Terminal 42 Hub.
As the conference will be very topic specific for developers and researchers with extensive experience in computer vision, it is important that the participants are all on the same page. By doing the selection among those who applied for the participation we could prevent disappointment of those, who are new to CV and who will have hard time understanding the presentations. The second reason is that the number of participants will be limited to 100 people, so we would like to have the best mix of expertise among the participants.
Eastern European Computer Vision Conference is an event for R&D engineers, developers, and researchers, who are well aware of computer vision and deep learning.
The attendance is FREE for the chosen participants. There will be coffee, cookies and conference materials.
Eastern European Computer Vision Conference gives everyone a chance for professional growth and networking. We choose only the best experts in machine vision from Europe so that you could be among the first to learn about the newest practical applications.

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    Terminal 42, Rishelievskaya str 33, Odessa, Ukraine

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