M
Markus Gross
Researcher at ETH Zurich
Publications - 609
Citations - 36725
Markus Gross is an academic researcher from ETH Zurich. The author has contributed to research in topics: Rendering (computer graphics) & Pixel. The author has an hindex of 91, co-authored 588 publications receiving 32881 citations. Previous affiliations of Markus Gross include Hewlett-Packard & Mitsubishi Electric Research Laboratories.
Papers
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Proceedings ArticleDOI
A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation
Federico Perazzi,Jordi Pont-Tuset,Brian McWilliams,L. Van Gool,Markus Gross,Alexander Sorkine-Hornung +5 more
TL;DR: This work presents a new benchmark dataset and evaluation methodology for the area of video object segmentation, named DAVIS (Densely Annotated VIdeo Segmentation), and provides a comprehensive analysis of several state-of-the-art segmentation approaches using three complementary metrics.
Proceedings ArticleDOI
Particle-based fluid simulation for interactive applications
TL;DR: This paper proposes an interactive method based on Smoothed Particle Hydrodynamics (SPH) to simulate fluids with free surfaces and proposes methods to track and visualize the free surface using point splatting and marching cubes-based surface reconstruction.
Proceedings ArticleDOI
Surfels: surface elements as rendering primitives
TL;DR: A novel method called visibility splatting determines visible surfels and holes in the z-buffer, which makes them specifically suited for low-cost, real-time graphics, such as games.
Proceedings ArticleDOI
Efficient simplification of point-sampled surfaces
TL;DR: This work has implemented incremental and hierarchical clustering, iterative simplification, and particle simulation algorithms to create approximations of point-based models with lower sampling density, and shows how local variation estimation and quadric error metrics can be employed to diminish the approximation error.
Proceedings ArticleDOI
Surface splatting
TL;DR: A point rendering and texture filtering technique called surface splatting which directly renders opaque and transparent surfaces from point clouds without connectivity based on a novel screen space formulation of the Elliptical Weighted Average (EWA) filter is described.