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Andrei Barsan

Andrei is a graduate student at the University of Toronto doing research on combining classic geometric methods with learning for computer vision. His supervisor is Professor Raquel Urtasun. At the same time, he is working full-time at Uber ATG R&D (also with Raquel) to apply his research to the real-world challenges of self-driving cars. Before coming to UofT, Andrei did his master's at ETH Zurich, writing his thesis on large-scale dense mapping under Professor Andreas Geiger's supervision. Andrei is originally from Brașov, Romania.

Recent Publications

Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization

Wei-Chiu Ma*, Ignacio Tartavull*, Ioan Andrei Bârsan*, Shenlong Wang*, Min Bai, Gellért Máttyus, Namdar Homayounfar, Shrinidhi Kowshika Lakshmikanth, Andrei Pokrovsky, Raquel Urtasun (IROS 2019)

Learning to Localize Through Compressed Binary Maps

Xinkai Wei*, Ioan Andrei Bârsan*, Shenlong Wang*, Julieta Martinez, Raquel Urtasun (CVPR 2019)

Learning to Localize Using a LiDAR Intensity Map

Ioan Andrei Bârsan*, Shenlong Wang*, Andrei Pokrovsky, Raquel Urtasun (CORL 2018, spotlight)

Robust Dense Mapping for Large-Scale Dynamic Environments

Ioan Andrei Bârsan, Peidong Liu, Marc Pollefeys, Andreas Geiger (ICRA 2018)