How much real data do we actually need: Analyzing object detection performance using synthetic and real data. - Farzan Erlik Nowruzi; Prince Kapoor; Dhanvin Kolhatkar; Fahed Al Hassanat; Robert Laganière; Julien Rebut (CoRR, 2019)

CARRADA Dataset: Camera and Automotive Radar with Range- Angle- Doppler Annotations. - Arthur Ouaknine; Alasdair Newson; Julien Rebut; Florence Tupin; Patrick Pérez (ICPR, 2020)

Deep Open Space Segmentation using Automotive Radar. - Farzan Erlik Nowruzi; Dhanvin Kolhatkar; Prince Kapoor; Fahed Al Hassanat; Elnaz Jahani Heravi; Robert Laganière; Julien Rebut; Waqas Malik (CoRR, 2020)

Multi-View Radar Semantic Segmentation. - Arthur Ouaknine; Alasdair Newson; Patrick Pérez; Florence Tupin; Julien Rebut (ICCV, 2021)

StyleLess layer: Improving robustness for real-world driving. - Julien Rebut; Andrei Bursuc; Patrick Pérez (IROS, 2021)

PolarNet: Accelerated Deep Open Space Segmentation using Automotive Radar in Polar Domain. - Farzan Erlik Nowruzi; Dhanvin Kolhatkar; Prince Kapoor; Elnaz Jahani Heravi; Fahed Al Hassanat; Robert Laganière; Julien Rebut; Waqas Malik (VEHITS, 2021)

Raw High-Definition Radar for Multi-Task Learning. - Julien Rebut; Arthur Ouaknine; Waqas Malik; Patrick Pérez (CVPR, 2022)