Aleksis Pirinen is a doctoral student at Lund University under the supervision of professor Cristian Sminchisescu. In his research Aleksis applies deep reinforcement learning to computer vision tasks such as object detection and active vision, aiming to make visual recognition systems more flexible and adaptive. This line of research has so far resulted in the following publications:
- A. Pirinen, C. Sminchisescu. Deep Reinforcement Learning of Region Proposal Networks for Object Detection, CVPR 2018
- S. Mathe, A. Pirinen, C. Sminchisescu. Reinforcement Learning for Visual Object Detection, CVPR 2016
Prior to pursuing his PhD, Aleksis obtained an MSc. degree in engineering mathematics from the Faculty of Engineering at Lund University, focusing on image analysis, statistics and signal processing. During his master he was awarded a Summer Undergraduate Research Fellow (SURF) internship at Caltech, where he did research on large-scale optimization for machine learning.
Aleksis has been a reviewer at top-tier conferences such as CVPR, ECCV, NIPS and AAAI, and won an outstanding reviewer award at CVPR 2018. He has also taught a variety of courses related to his research, such as image analysis and machine learning. Among other things, he has given several lectures on reinforcement learning and designed a major home assignment on this topic. His teaching has consistently received very high praise from students. In 2016 he received the award Teaching Assistant of the Year at the Faculty of Engineering, Lund University.