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Deep Learning for Semantic Part Segmentation with High-Level Guidance

Autor: Tsogkas, S., Kokkinos, I., Papandreou, G., Vedaldi, A.

In this work we address the task of segmenting an object into its parts, or semantic part segmentation. We start by adapting a state-of-the-art semantic segmentation system to this task, and show that a combination of a fully-convolutional Deep CNN s

Externí odkaz: http://arxiv.org/abs/1505.02438

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Akademický článek

I-Support: A robotic platform of an assistive bathing robot for the elderly population

Publikováno v: In Robotics and Autonomous Systems April 2020 126

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Face Normals 'in-the-wild' using Fully Convolutional Networks

Autor: Trigeorgis, Snape, Kokkinos, I, Zafeiriou, S

Publikováno v: IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1032::7f4d4f6b085d4f9bc61580352575484e
http://hdl.handle.net/10044/1/51745

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Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Autor: Chen, L. -C, Papandreou, G., Kokkinos, I., Murphy, K., Alan L. Yuille

Publikováno v: Scopus-Elsevier
International Conference on Learning Representations
International Conference on Learning Representations, May 2015, San Diego, United States

Deep Convolutional Neural Networks (DCNNs) have recently shown state of the art performance in high level vision tasks, such as image classification and object detection. This work brings together methods from DCNNs and probabilistic graphical models

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::212438d5b07a83e98b65fd225a7c521c
http://arxiv.org/abs/1412.7062

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SHREC 2010: robust feature detection and description benchmark

Autor: Bronstein, A. M., Bronstein, M. M., Bustos, B., Castellani, Umberto, Cristani, Marco, Falcidieno, B., Guibas, L. J., Kokkinos, I., Murino, Vittorio, Ovsjanikov, M., Patané, G., Sipiran, I., Spagnuolo, M., Sun, J.

Publikováno v: Eurographics Workshop on 3D Object Retrieval, Norrköping, Sweden, 2010
info:cnr-pdr/source/autori:A. M. Bronstein, M. M.Bronstein, B. Bustos, U. Castellani, M. Crisani, B. Falcidieno, L.J. Guibas, I. Kokkinos, V. Murino, I. Isipiran, M. Ovsjanikov, G. Patane', M. Spagnuolo, and J. Sun/congresso_nome:Eurographics Workshop on 3D Object Retrieval/congresso_luogo:Norrköping, Sweden/congresso_data:2010/anno:2010/pagina_da:/pagina_a:/intervallo_pagine

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7205dc1deec4e3827d569afad63f9602
https://publications.cnr.it/doc/85276

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Spinodal shifts of a polymeric blend film on an interacting surface

Autor: Kokkinos, I. G., Kosmas, M. K.

We use the Gaussian chain model in half-space, to study surface interacting binary polymer blends for a system that is not laterally incompressible. We derive the partition function of the system to all orders of the surface interaction parameters an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_____10561::1a440c3cf672860b5cf53302eadc03d7
http://olympias.lib.uoi.gr/jspui/handle/123456789/9235

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Surface enrichment from a binary polymer blend

Autor: Kokkinos, I. G., Kosmas, M. K.

We study the quantitative behavior of a two-component polymer blend in the presence of an impenetrable interacting surface. A solution of the problem for ring chains is given, which can also describe the behavior of linear chains. While first-order p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_____10561::756b82470250760e243229fc2260eb7b
http://olympias.lib.uoi.gr/jspui/handle/123456789/9369

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