Andis Bizuns

Andis Bizuns has been working at the Institute of Electronics and Computer Science since 2018, where he started his career after defending his bachelor’s thesis. In 2020, he obtained a Master’s degree in Computer Science from the University of Latvia. His main activities and areas of interest at the institute are machine learning, image processing, embedded systems, robotics and self-driving cars.

Recent projects

• Artificial Intelligence for Digitizing Industry (AI4DI) #H2020
• Programmable Systems for Intelligence in Automobiles (PRYSTINE) #H2020
• Framework of key enabling technologies for safe and autonomous drones applications (COMP4DRONES) #H2020
• Pētījums par datorredzes paņēmienu attīstību industrijas procesu norises automatizācijai (DIPA) #ESIF

Recent publications

• Arents, J., Lesser, B., Bizuns, A., Kadikis, R., Buls, E., Greitans, M. (2022). Synthetic Data of Randomly Piled, Similar Objects for Deep Learning-Based Object Detection. In: Sclaroff, S., Distante, C., Leo, M., Farinella, G.M., Tombari, F. (eds) Image Analysis and Processing – ICIAP 2022. ICIAP 2022. Lecture Notes in Computer Science, vol 13232. Springer, Cham. https://doi.org/10.1007/978-3-031-06430-2_59