Learning to Localize Using a LiDAR Intensity Map. - Ioan Andrei Barsan; Shenlong Wang; Andrei Pokrovsky; Raquel Urtasun (CoRL, 2018)

Robust Dense Mapping for Large-Scale Dynamic Environments. - Ioan Andrei Barsan; Peidong Liu 001; Marc Pollefeys; Andreas Geiger 001 (ICRA, 2018)

Learning to Localize Through Compressed Binary Maps. - Xinkai Wei; Ioan Andrei Barsan; Shenlong Wang; Julieta Martinez 001; Raquel Urtasun (CVPR, 2019)

Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization. - Wei-Chiu Ma; Raquel Urtasun; Ignacio Tartavull; Ioan Andrei Bârsan; Shenlong Wang; Min Bai; Gellért Máttyus; Namdar Homayounfar; Shrinidhi Kowshika Lakshmikanth; Andrei Pokrovsky (IROS, 2019)

Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars. - Julieta Martinez 001; Sasha Doubov; Jack Fan; Ioan Andrei Bârsan; Shenlong Wang; Gellért Máttyus; Raquel Urtasun (IROS, 2020)

Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks. - Julieta Martinez 001; Jashan Shewakramani; Ting-Wei Liu; Ioan Andrei Barsan; Wenyuan Zeng; Raquel Urtasun (CVPR, 2021)

Deep Multi-Task Learning for Joint Localization, Perception, and Prediction. - John Phillips; Julieta Martinez 001; Ioan Andrei Barsan; Sergio Casas 002; Abbas Sadat; Raquel Urtasun (CVPR, 2021)

Asynchronous Multi-View SLAM. - Anqi Joyce Yang; Can Cui; Ioan Andrei Bârsan; Raquel Urtasun; Shenlong Wang (ICRA, 2021)

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation. - Jingkang Wang; Sivabalan Manivasagam; Yun Chen 014; Ze Yang 003; Ioan Andrei Barsan; Anqi Joyce Yang; Wei-Chiu Ma; Raquel Urtasun (CoRL, 2022)

Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing. - Sivabalan Manivasagam; Ioan Andrei Bârsan; Jingkang Wang; Ze Yang 003; Raquel Urtasun (ICCV, 2023)

UniCal: Unified Neural Sensor Calibration. - Ze Yang 003; George Chen; Haowei Zhang; Kevin Ta; Ioan Andrei Bârsan; Daniel Murphy; Sivabalan Manivasagam; Raquel Urtasun (ECCV (36), 2024)

Learning Rich Representations for Robot State Estimation - Ioan Andrei Bârsan (2024)