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20182021
most citedContext-Aware Embeddings for Automatic Art Analysis

56 citations · 75 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CV20214 cited

Built Year Prediction from Buddha Face with Heterogeneous Labels

Yiming Qian, Cheikh Brahim El Vaigh, Yuta Nakashima +3

Buddha statues are a part of human culture, especially of the Asia area, and they have been alongside human civilisation for more than 2,000 years. As history goes by, due to wars,…

cs.CV20195 cited

Historical and Modern Features for Buddha Statue Classification

Benjamin Renoust, Matheus Oliveira Franca, Jacob Chan +7

While Buddhism has spread along the Silk Roads, many pieces of art have been displaced. Only a few experts may identify these works, subjectively to their experience. The construct…

cs.CV2019

BUDA.ART: A Multimodal Content-Based Analysis and Retrieval System for Buddha Statues

Benjamin Renoust, Matheus Oliveira Franca, Jacob Chan +6

We introduce BUDA.ART, a system designed to assist researchers in Art History, to explore and analyze an archive of pictures of Buddha statues. The system combines different CBIR a…

cs.CV20192 cited

Understanding Art through Multi-Modal Retrieval in Paintings

Noa Garcia, Benjamin Renoust, Yuta Nakashima

In computer vision, visual arts are often studied from a purely aesthetics perspective, mostly by analysing the visual appearance of an artistic reproduction to infer its style, it…

cs.CV201956 cited

Context-Aware Embeddings for Automatic Art Analysis

Noa Garcia, Benjamin Renoust, Yuta Nakashima

Automatic art analysis aims to classify and retrieve artistic representations from a collection of images by using computer vision and machine learning techniques. In this work, we…