B7nlwkl6newi0tbbmdwo
SkillsCast

Towards visual intelligence: Modern Machine Learning in Computer Vision Research

5th July 2018 in London at CodeNode

There are 22 other SkillsCasts available from Infiniteconf 2018 - The conference on Big Data and AI

Please log in to watch this conference skillscast.

711518883 640

In this talk, Dr Sharmanska will start with a fundamental question, what is and what is not visual data in machine versus human perspective.

She will then explain the underlying principles of how do we teach computers ‘to see’ using machine learning methods with examples of recognising objects in visual data.

Subsequently Dr Sharmanska will focus on how can you enhance an automatic systems’ capacity to recognise complex real-world scenes like human actions and emotions using a deep-learning approach.

YOU MAY ALSO LIKE:

Thanks to our sponsors

Towards visual intelligence: Modern Machine Learning in Computer Vision Research

Viktoriia Sharmanska

Viktoriia Sharmanska works at Imperial College London as a research fellow leading the project in 'Deep Understanding of Human Behaviour from Video Data: Action Emotion Approach'. Her research interests include deep learning methods and cross-modal transfer that are suitable for learning from complex visual data. Viktoriia is passionate about designing intelligent systems that can learn concepts from visual data using machine learning models.

SkillsCast

Please log in to watch this conference skillscast.

711518883 640

In this talk, Dr Sharmanska will start with a fundamental question, what is and what is not visual data in machine versus human perspective.

She will then explain the underlying principles of how do we teach computers ‘to see’ using machine learning methods with examples of recognising objects in visual data.

Subsequently Dr Sharmanska will focus on how can you enhance an automatic systems’ capacity to recognise complex real-world scenes like human actions and emotions using a deep-learning approach.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Towards visual intelligence: Modern Machine Learning in Computer Vision Research

Viktoriia Sharmanska

Viktoriia Sharmanska works at Imperial College London as a research fellow leading the project in 'Deep Understanding of Human Behaviour from Video Data: Action Emotion Approach'. Her research interests include deep learning methods and cross-modal transfer that are suitable for learning from complex visual data. Viktoriia is passionate about designing intelligent systems that can learn concepts from visual data using machine learning models.

Photos