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Johannes Hägerlind is a PhD student at Linköping University, specializing in computer vision and 3D reconstruction. His research focuses on developing advanced techniques for temporally-consistent 3D reconstruction, particularly within dynamic scenes. He actively contributes to the academic community through publications and collaborations, aiming to enhance understanding and methodologies in the field of visual perception and machine learning. His recent work includes co-authoring a paper that was presented at the prestigious IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) in 2024, highlighting the impact of his research efforts.
Linköping University • Linköping, Sweden
Pursuing advanced studies and research in computer vision.
Requirements are standardized across the Faculty of Science and Engineering (Institute of Technology) for international Master's programs.