Research output per year
Research output per year
Affiliated with the university
Industry PhD student at Sony and LTH. Funded in the WASP initiative.
[Draft scope]
The project is starting in computer vision and image analysis to become familiar with current methods and a well established domain. This is used as an arena to find a machine task that involves human interaction and a non-static environment that allows incremental learning. Designing the task and learning process to benefit from transparency of the agent decisions (explainability) is a secondary goal.
While deep learning with large amounts of up-front learning data has made recent success, an agent that is able to learn incrementally from data available during usage should be more versatile. A human-in-the-loop approach, where the user is taking an active part in the learning or acting process, could be one way to give transparency but the human should not become a bottle-neck with no added value.
Working for Sony Europe in Lund and has been involved in different aspects of software development for mobile phones since 2001.
Research output: Contribution to journal › Article › peer-review
Research output: Book/Report › Report › Research
Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
Gulin, J. (PI), Åström, K. (Assistant supervisor), Larsson, J. E. (Supervisor) & Huang, S. (Assistant supervisor)
2019/01/01 → …
Project: Dissertation
Gulin, J. (Participant)
Activity: Participating in or organising an event › Participation in workshop/ seminar/ course