Research Publications - Artwork Modelling

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We research artificial intelligence methods for analysing and modelling artworks such as paintings, sketches and sculptures.

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Citations 20+

3D Car Shape Reconstruction from a Contour Sketch using GAN and Lazy Learning
3D Car Shape Reconstruction from a Contour Sketch using GAN and Lazy Learning  Impact Factor: 3.0 Citation: 28#
Visual Computer (VC), 2022
Naoki Nozawa, Hubert P. H. Shum, Qi Feng, Edmond S. L. Ho and Shigeo Morishima
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Citations 10+

Single Sketch Image Based 3D Car Shape Reconstruction with Deep Learning and Lazy Learning
Single Sketch Image Based 3D Car Shape Reconstruction with Deep Learning and Lazy Learning  Best Student Paper Award Citation: 13#
Proceedings of the 2020 International Conference on Computer Graphics Theory and Applications (GRAPP), 2020
Naoki Nozawa, Hubert P. H. Shum, Edmond S. L. Ho and Shigeo Morishima
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Citations 5+

3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit Models
3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit Models  Core A Conference
Proceedings of the 2022 ACM Symposium on Virtual Reality Software and Technology (VRST), 2022
Ziyi Chang, George Alex Koulieris and Hubert P. H. Shum
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Citations 0+

Tackling Data Bias in Painting Classification with Style Transfer
Tackling Data Bias in Painting Classification with Style Transfer
Proceedings of the 2023 International Conference on Computer Vision Theory and Applications (VISAPP), 2023
Mridula Vijendran, Frederick W. B. Li and Hubert P. H. Shum
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Artificial Intelligence for Geometry-Based Feature Extraction, Analysis and Synthesis in Artistic Images: A Survey
Artificial Intelligence for Geometry-Based Feature Extraction, Analysis and Synthesis in Artistic Images: A Survey  Impact Factor: 10.7 Top 10% Journal in Computer Science, Artificial Intelligence
Artificial Intelligence Review (AIRE), 2024
Mridula Vijendran, Jingjing Deng, Shuang Chen, Edmond S. L. Ho and Hubert P. H. Shum
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Chatbots and Art Critique: A Comparative Study of Chatbot and Human Experts in Traditional Chinese Painting Education
Chatbots and Art Critique: A Comparative Study of Chatbot and Human Experts in Traditional Chinese Painting Education
Proceedings of the 2024 Nordic Conference on Human-Computer Interaction (NordiCHI), 2024
Jinyu Liu, Effie Lai-Chong Law and Hubert P. H. Shum
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ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification
ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification
Book Chapter: Communications in Computer and Information Science (CCIS), 2024
Mridula Vijendran, Frederick W. B. Li, Jingjing Deng and Hubert P. H. Shum
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† According to Journal Citation Reports 2023
‡ According to Core Ranking 2023
# According to Google Scholar 2024


 

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