Wangxin Liu is a Senior Deep Learning Engineer at Zenseact, focusing on cross-domain model adaptation and long tail learning for autonomous driving. Previously, at Tensoreye, Wangxin led the research and development of BEV perception and monocular depth prediction networks. As a Machine Learning Engineer at ESR Labs AG, responsibilities included deep neural network design and large-scale data pipeline architecture. Wangxin also held roles at MOBIS Parts Europe N.V. as Team Lead for motion estimation features in autonomous driving software, and as Senior Computer Vision Engineer, developing high-performance ego-motion solutions. Experience began as a Software Engineer at e.sigma Systems GmbH, specializing in 3D reconstruction, and included a research assistant role at Klinikum rechts der Isar der TU München. Educational qualifications include a Master of Science in Biomedical Computing from the Technical University of Munich and a Bachelor's degree in Biomedical Engineering from Shanghai Jiao Tong University.
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