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Petr Matousek is a distinguished researcher and academic specializing in computer vision, machine learning, and artificial intelligence. He serves as an Associate Professor and the Head of the Visual Recognition Group (VRG) at the Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague. His research interests include large-scale visual search and recognition, 3D computer vision, object detection, instance segmentation, and efficient deep learning. Petr has an extensive publication record in top-tier international conferences and journals and has been involved in numerous national and international research projects. He is committed to advancing the frontiers of AI and mentoring students in the field.
Petr Matousek's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads a prominent research group at the Czech Technical University in Prague, focusing on cutting-edge research in computer vision, machine learning, and pattern recognition, with numerous successful projects and publications.
Authored and co-authored over 100 influential papers in high-impact international conferences (such as CVPR, ICCV, ECCV) and journals, significantly contributing to the fields of object recognition, image retrieval, and 3D vision.
Successfully secured and led numerous national (e.g., Czech Science Foundation - GACR) and international (e.g., EU Horizon programs, DARPA) research grants, fostering innovation and advancing the state-of-the-art in visual understanding technologies.
Actively contributed to the scientific community by co-organizing workshops and challenges at major computer vision conferences, promoting research in specific areas like instance-level recognition.
Contributed to the creation and curation of datasets and benchmarks (e.g., related to fine-grained visual categorization or instance search) that are utilized by the broader research community.
Private University College of Economic Studies, Prague - Year 2008
Czech Technical University in Prague, Faculty of Electrical Engineering - Year 2005
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Wiselli is a business intelligence and analytics platform specifically designed for Shopify merchants. It helps e-commerce businesses track key performance indicators (KPIs), understand customer behavior, identify sales trends, and optimize marketing spend through intuitive dashboards and actionable reports. The platform aims to empower store owners to make data-driven decisions to grow their revenue and profitability without needing extensive data science expertise.
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