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Publication search results
found 41 matches
- 2023
- Grace Zhong:
A computer vision-aided analysis of facial similarities in Song dynasty imperial portraits. Computer Vision and Image Analysis of Art 2023: 1-6 - Computer Vision and Image Analysis of Art 2023, San Francisco, CA, USA, January 15-19, 2023. Society for Imaging Science and Technology 2023 [contents]
- 2022
- Dmitri A. Gusev:
Improved Identification of Portraiture of the Julio-Claudian Period with Mobile Apps. Computer Vision and Image Analysis of Art 2022: 1-36 - Thomas Heitzinger, David G. Stork:
Improving semantic segmentation of fine art images using photographs rendered in a style learned from artworks. Computer Vision and Image Analysis of Art 2022: 1-5 - Thomas Heitzinger, Matthias Wödlinger, David G. Stork:
Artist-specific style transfer for semantic segmentation of paintings: The value of large corpora of surrogate artworks. Computer Vision and Image Analysis of Art 2022: 1-6 - Gregory Kell, Ryan-Rhys Griffiths, Anthony Bourached, David G. Stork:
Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks. Computer Vision and Image Analysis of Art 2022: 1-14 - Computer Vision and Image Analysis of Art 2022 Conference Overview and Papers Program. Computer Vision and Image Analysis of Art 2022
- Kurt Heumiller, David G. Stork:
Computer Vision and Image Analysis of Art 2022, online, January 15-26, 2022. Society for Imaging Science and Technology 2022 [contents] - 2021
- Nikolay Banar, Matthia Sabatelli, Pierre Geurts, Walter Daelemans, Mike Kestemont:
Transfer Learning with Style Transfer between the Photorealistic and Artistic Domain. Computer Vision and Image Analysis of Art 2021: 1-9 - Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths, David G. Stork:
Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars. Computer Vision and Image Analysis of Art 2021: 1-10 - George H. Cann, Anthony Bourached, Ryan-Rhys Griffiths, David G. Stork:
Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks. Computer Vision and Image Analysis of Art 2021: 1-8 - Snehal A. Padhye, David Messinger, James A. Ferwerda:
A Web-based Visualization Tool for Multispectral Images. Computer Vision and Image Analysis of Art 2021: 1-6 - David G. Stork, Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths:
Computational identification of significant actors in paintings through symbols and attributes. Computer Vision and Image Analysis of Art 2021: 1-8 - David G. Stork, Christopher W. Tyler, Sara J. Schechner:
Did Tim Paint a Vermeer? Computer Vision and Image Analysis of Art 2021: 1-12 - CVAA Conference Overview and Papers Program. Computer Vision and Image Analysis of Art 2021: 1-5
- Yuchun Yan, Hayan Choi, Hyeon-Jeong Suk:
Exploring the Facial Color Representative Regions Using the Humanae Images. Computer Vision and Image Analysis of Art 2021: 1-7 - Kurt Heumiller, David G. Stork:
Computer Vision and Image Analysis of Art 2021, online, January 11-28, 2021. Society for Imaging Science and Technology 2021 [contents] - 2011
- Gustavo Carneiro, João Paulo Costeira:
The automatic annotation and retrieval of digital images of prints and tile panels using network link analysis algorithms. Computer Vision and Image Analysis of Art 2011: 786904 - Mahmoud Al-Ayyoub, Mohammad T. Irfan, David G. Stork:
Boosting multi-feature visual texture classiffiers for the authentication of Jackson Pollock's drip paintings. Computer Vision and Image Analysis of Art 2011: 78690H - Eryk Bunsch, Robert Sitnik, Jakub Michonski:
Art documentation quality in function of 3D scanning resolution and precision. Computer Vision and Image Analysis of Art 2011: 78690D - Ricardo Silveira Cabral, João Paulo Costeira, Fernando De la Torre, Alexandre Bernardino, Gustavo Carneiro:
Time and order estimation of paintings based on visual features and expert priors. Computer Vision and Image Analysis of Art 2011: 78690G - Damon M. Conover, John K. Delaney, Paola Ricciardi, Murray H. Loew:
Towards automatic registration of technical images of works of art. Computer Vision and Image Analysis of Art 2011: 78690C - Alhaad Gokhale, Peter Bajcsy:
Automated classification of quilt photographs into crazy and non-crazy. Computer Vision and Image Analysis of Art 2011: 78690M - Jorge Herrera, Meritxell Vilaseca, Jaume Pujol:
Automatic multispectral ultraviolet, visible and near-infrared capturing system for the study of artwork. Computer Vision and Image Analysis of Art 2011: 78690B - Keith T. Knox, Roger L. Easton Jr., William A. Christens-Barry, Kenneth Boydston:
Recovery of handwritten text from the diaries and papers of David Livingstone. Computer Vision and Image Analysis of Art 2011: 786909 - Yubin Kuang, David G. Stork, Fredrik Kahl:
Improved curvature-based inpainting applied to fine art: recovering van Gogh's partially hidden brush strokes. Computer Vision and Image Analysis of Art 2011: 78690I - Cherry May T. Palomero, Maricor N. Soriano:
After digital cleaning: visualization of the dirt layer. Computer Vision and Image Analysis of Art 2011: 78690O - Jérôme Da Rugna, Gaël Chareyron, Ruven Pillay, Morwena Joly:
A framework for analysis of large database of old art paintings. Computer Vision and Image Analysis of Art 2011: 786907 - Tenzing Shaw, Peter Bajcsy:
Automation of digital historical map analyses. Computer Vision and Image Analysis of Art 2011: 78690A - Nuno Pinho da Silva, Manuel Marques, Gustavo Carneiro, João Paulo Costeira:
Explaining scene composition using kinematic chains of humans: application to Portuguese tiles history. Computer Vision and Image Analysis of Art 2011: 786905
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