Radomir Mech

Radomir Mech is affiliated with Adobe Systems in the United States. Their research spans multiple areas within computer science and engineering, with a focus on computational mechanics, computer graphics, and computer vision.

Their recent publications reflect an emphasis on 3D shape modeling and computer graphics techniques. Notable papers include:

• Match, 2020, published in ACM Transactions on Graphics
• MatFormer, 2022, published in ACM Transactions on Graphics
• CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds, 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
• FAME: 3D Shape Generation via Functionality-Aware Model Evolution, 2020, published in IEEE Transactions on Visualization and Computer Graphics
• A Survey of Control Mechanisms for Creative Pattern Generation, 2021, published in Computer Graphics Forum

Mech's collaborative network includes frequent co-authors such as Matheus Gadelha, Tamy Boubekeur, Niloy J. Mitra, Minhyuk Sung, and Thibault Groueix. These collaborations indicate interdisciplinary connections in computer graphics and shape analysis.

Their work has been disseminated in several respected venues, highlighting their engagement with both academic and applied research communities. Key publication venues include:

• arXiv (Cornell University)
• IEEE Transactions on Visualization and Computer Graphics
• ACM Transactions on Graphics
• Computer Graphics Forum
• 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Radomir Mech's scientific contributions cover broad topics such as 3D shape modeling and analysis, computer graphics and visualization techniques, 3D surveying and cultural heritage, human motion and animation, advanced numerical analysis techniques, computational geometry and mesh generation, and remote sensing and LiDAR applications.

• 3D Shape Modeling and Analysis
• Computer Graphics and Visualization Techniques
• 3D Surveying and Cultural Heritage
• Human Motion and Animation
• Advanced Numerical Analysis Techniques
• Computational Geometry and Mesh Generation
• Remote Sensing and LiDAR Applications

The main fields associated with Mech's work include Computer Science and Engineering, with subfields spanning computational mechanics, computer graphics and computer-aided design, computer vision and pattern recognition, control and systems engineering, and geology.

• Computational Mechanics
• Computer Graphics and Computer-Aided Design
• Computer Vision and Pattern Recognition
• Control and Systems Engineering
• Geology

This profile synthesizes the research scope and academic contributions of Radomir Mech based on their published works, collaborative partnerships, and interdisciplinary interests within computational and visualization sciences.