Hi! I’m Roman Bachmann, an EPFL PhD student at VILAB, where I’m advised by Amir Zamir. My current research is focused on learning good priors for efficient visual transfer learning. I am also interested in world models, spatial memory, as well as novel view synthesis. My goal is to build adaptable world priors that enable quick understanding of the environment and allow for global, out-of-sight reasoning.
I received my M.Sc. degree in Data Science at EPFL, where I also previously completed my B.Sc. in Computer Science. During my Master, I also worked as a research intern in the Approximate Bayesian Inference Team under the supervision of Emtiyaz Khan at RIKEN AIP.
2021 International Conference on Computer Vision
2020 International Conference on Machine Learning
2019 International Conference on 3D Vision
Selected for oral presentation
2019 Central European Seminar on Computer Graphics (non-peer-reviewed)
Voted best presentation and third best paper
8th Int. Congress on Science and Skiing (non-peer-reviewed)
Won first place in the Young Investigator Award competition