Tirane, ofroj vend pune Machine Learning & Computer Vision
ATIS has an opening position in Machine Learning/Computer Vision. Below the details:
Introduction
Computer Vision is a discipline of computer science that consists of methods for acquiring information of the surrounding environment by analyzing and processing images or videos. One fundamental task in computer vision is visual recognition: ability of a software to analyze the content of images and/or videos and identify objects, people, places and actions.
Motivation & Challenges
Object recognition finds numerous applications such as in security (e.g. scene surveillance and monitoring), face recognition, augmented reality, medical visual data analysis, smart photo libraries and automatic photo tagging, automatic ecommerce product categorization, autonomous driving (car & pedestrian detection), content moderation, optical character recognition, manufacturing quality control, targeted advertising and many more.
Visual recognition, although comes natural for humans, it is a very challenging task for computers. This is because the scene that is captured by a camera can vary a lot in appearance due to changes in illumination, viewpoint, intra-class appearance, clutter, camera noise etc.
Goals
Recently, artificially intelligent systems i.e. deep learning based ones, have proved to be very successful for visual recognition tasks and Convolutional Neural Networks have become the standard for building such algorithms. The goal of the internship program, is to build 3 deep learning based visual recognition systems which will focus respectively on of the following 3 applications:
1. Web content moderation for images and videos: automatically filter or flag unwanted media from user-generated content
2. E-commerce visual product search and recommendation: allow customers to search for visually similar products
3. Automatic categorization of large media databases: organize collections of media through auto-tagging
You will:
- Get experienced with Deep Learning frameworks such as CAFFE (https://caffe.berkeleyvision.org) & Tensorflow (released from Google recently) which are becoming the standard framework for industry.
- Train and test deep learning algorithms for object recognition.
Requirements
· Basic knowledge with classical Image Processing and Computer Vision. During this period they should practice computer vision tasks with Python and PHP programming.
· Basic knowledge with basic Machine Learning and modern Computer Vision techniques based on Deep Learning and in particular Convolutional Neural Networks is a plus.
· Good knowledge of Python or very good knowledge of PHP. C++ and/or Matlab is considered a plus
· Motivation to invest time and learn cutting edge technologies within a very exciting field of computer science
· Bachelor's degree in Computer Science, Mathematics, Engineering or a related field
· English is a must
Why ATIS?
The team is lead by Dr. Thoma Papadhimitri, computer vision expert, co-founder of ATIS sh.p.k - www.atis.al
https://al.linkedin.com/in/thoma-papadhimitri-32736112
Short Bio: Graduated from Bologna University in Italy in 2009 (with highest honors) in Electronic Engineering, he later obtained a PhD in 2014 in computer science from Bern University in Switzerland. During this time he published at top conferences and journals of Computer Vision (e.g. CVPR, IJCV), an important topic of today’s computer science. In 2014 he joined Huawei in Munich as a Research Engineer where he worked on artificial intelligence and computer vision till 2017. He also holds an international patent.
Please send an email with CV at: thoma.papadhimitri@atis.al
Only shortlisted candidates will be contacted for an interview.
Introduction
Computer Vision is a discipline of computer science that consists of methods for acquiring information of the surrounding environment by analyzing and processing images or videos. One fundamental task in computer vision is visual recognition: ability of a software to analyze the content of images and/or videos and identify objects, people, places and actions.
Motivation & Challenges
Object recognition finds numerous applications such as in security (e.g. scene surveillance and monitoring), face recognition, augmented reality, medical visual data analysis, smart photo libraries and automatic photo tagging, automatic ecommerce product categorization, autonomous driving (car & pedestrian detection), content moderation, optical character recognition, manufacturing quality control, targeted advertising and many more.
Visual recognition, although comes natural for humans, it is a very challenging task for computers. This is because the scene that is captured by a camera can vary a lot in appearance due to changes in illumination, viewpoint, intra-class appearance, clutter, camera noise etc.
Goals
Recently, artificially intelligent systems i.e. deep learning based ones, have proved to be very successful for visual recognition tasks and Convolutional Neural Networks have become the standard for building such algorithms. The goal of the internship program, is to build 3 deep learning based visual recognition systems which will focus respectively on of the following 3 applications:
1. Web content moderation for images and videos: automatically filter or flag unwanted media from user-generated content
2. E-commerce visual product search and recommendation: allow customers to search for visually similar products
3. Automatic categorization of large media databases: organize collections of media through auto-tagging
You will:
- Get experienced with Deep Learning frameworks such as CAFFE (https://caffe.berkeleyvision.org) & Tensorflow (released from Google recently) which are becoming the standard framework for industry.
- Train and test deep learning algorithms for object recognition.
Requirements
· Basic knowledge with classical Image Processing and Computer Vision. During this period they should practice computer vision tasks with Python and PHP programming.
· Basic knowledge with basic Machine Learning and modern Computer Vision techniques based on Deep Learning and in particular Convolutional Neural Networks is a plus.
· Good knowledge of Python or very good knowledge of PHP. C++ and/or Matlab is considered a plus
· Motivation to invest time and learn cutting edge technologies within a very exciting field of computer science
· Bachelor's degree in Computer Science, Mathematics, Engineering or a related field
· English is a must
Why ATIS?
The team is lead by Dr. Thoma Papadhimitri, computer vision expert, co-founder of ATIS sh.p.k - www.atis.al
https://al.linkedin.com/in/thoma-papadhimitri-32736112
Short Bio: Graduated from Bologna University in Italy in 2009 (with highest honors) in Electronic Engineering, he later obtained a PhD in 2014 in computer science from Bern University in Switzerland. During this time he published at top conferences and journals of Computer Vision (e.g. CVPR, IJCV), an important topic of today’s computer science. In 2014 he joined Huawei in Munich as a Research Engineer where he worked on artificial intelligence and computer vision till 2017. He also holds an international patent.
Please send an email with CV at: thoma.papadhimitri@atis.al
Only shortlisted candidates will be contacted for an interview.