most citedContext-Aware Embeddings for Automatic Art Analysis

56 citations · 67 across the 6 of their papers we have counts for

collaborators

9 papers

cs.LG2019

Movienet: A Movie Multilayer Network Model using Visual and Textual Semantic Cues

Youssef Mourchid, Benjamin Renoust, Olivier Roupin +3

Discovering content and stories in movies is one of the most important concepts in multimedia content research studies. Network models have proven to be an efficient choice for thi…

cs.SI20192 cited

Patterns of Multiplex Layer Entanglement across Real and Synthetic Networks

Blaž Škrlj, Benjamin Renoust

Real world complex networks often exhibit multiplex structure, connecting entities from different aspects of physical systems such as social, transportation and biological networks…

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.SI2019

Introducing multilayer stream graphs and layer centralities

Pimprenelle Parmentier, Tiphaine Viard, Benjamin Renoust +1

Graphs are commonly used in mathematics to represent some relationships between items. However, as simple objects, they sometimes fail to capture all relevant aspects of real-world…

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…