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Deep Marching Cubes: Learning Explicit Surface Representations

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
Existing learning based solutions to 3D surface prediction cannot be trained end-to-end as they operate on intermediate representations (e.g., TSDF) from which 3D surface meshes must be extracted in a post-processing step (e.g., via the marching cubes ...
Yiyi Liao, Simon Donné, Andreas Geiger
semanticscholar   +1 more source

From S-explicitation to T-explicitation? Tracing the development of the explicitation concept

Across Languages and Cultures, 2014
This paper sets out to investigate the coexistence of two different versions of explicitation in translation studies, which, with reference to Chesterman’s distinction between S-universals and T-universals, are called S-explicitation and T-explicitation in the first part of this article.
openaire   +1 more source

The explicit linear quadratic regulator for constrained systems

at - Automatisierungstechnik, 2003
A. Bemporad   +3 more
semanticscholar   +1 more source

Explicit TenseClassifier

2014 Seventh International Conference on Contemporary Computing (IC3), 2014
Rahul Pradhan, Dilip Kumar Sharma
openaire   +1 more source

Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 2. Explicit Solvent Particle Mesh Ewald.

Journal of Chemical Theory and Computation, 2013
Romelia Salomón-Ferrer   +4 more
semanticscholar   +1 more source

Explicit Namespaces

2000
Franz Achermann, Oscar Nierstrasz
openaire   +1 more source

Face Alignment by Explicit Shape Regression

International Journal of Computer Vision, 2012
Xudong Cao   +3 more
semanticscholar   +1 more source

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