Výsledky vyhledávání - "Herrmann, Erik"

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A Multisensor Hyperspectral Benchmark Dataset For Unmixing of Intimate Mixtures

Autor: Koirala, Bikram, Rasti, Behnood, Bnoulkacem, Zakaria, Ribeiro, Andrea de Lima, Madriz, Yuleika, Herrmann, Erik, Gestels, Arthur, De Kerf, Thomas, Lorenz, Sandra, Fuchs, Margret, Janssens, Koen, Steenackers, Gunther, Gloaguen, Richard, Scheunders, Paul

Optical hyperspectral cameras capture the spectral reflectance of materials. Since many materials behave as heterogeneous intimate mixtures with which each photon interacts differently, the relationship between spectral reflectance and material compo

Externí odkaz: http://arxiv.org/abs/2309.03216

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Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks

Autor: Cheema, Noshaba, Hosseini, Somayeh, Sprenger, Janis, Herrmann, Erik, Du, Han, Fischer, Klaus, Slusallek, Philipp

Human motion capture data has been widely used in data-driven character animation. In order to generate realistic, natural-looking motions, most data-driven approaches require considerable efforts of pre-processing, including motion segmentation and

Externí odkaz: http://arxiv.org/abs/1903.00695

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Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data

Autor: Cheema, Noshaba, Hosseini, Somayeh, Sprenger, Janis, Herrmann, Erik, Du, Han, Fischer, Klaus, Slusallek, Philipp

Semantic segmentation of motion capture sequences plays a key part in many data-driven motion synthesis frameworks. It is a preprocessing step in which long recordings of motion capture sequences are partitioned into smaller segments. Afterwards, add

Externí odkaz: http://arxiv.org/abs/1806.09174

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