Qunjie Zhou is a research scientist at NVIDIA’s Dynamic Vision and Learning (DVL) group, where she has been contributing since 2023. Her primary research focuses on understanding 3D geometry in unconstrained environments. She specializes in advancing feature matching, camera pose estimation, and 3D reconstruction algorithms using deep learning techniques. She holds a double B.Sc. degree in Electrical Engineering and Information Technology, earned in 2015. She then pursued an M.Sc. in Computer Science at the Technical University of Munich (TUM), completing it in 2018. Following her master’s studies, she embarked on her PhD under the supervision of Prof. Dr. Laura Leal-Taixé as part of the Dynamic Vision and Learning Group at TUM, where she deepened her expertise in her research interests.