4 papers
BOOST: Out-of-Distribution-Informed Adaptive Sampling for Bias Mitigation in Stylistic Convolutional Neural Networks
Mridula Vijendran, Shuang Chen, Jingjing Deng +1
The pervasive issue of bias in AI presents a significant challenge to painting classification, and is getting more serious as these systems become increasingly integrated into task…
Adaptive Graph Learning from Spatial Information for Surgical Workflow Anticipation
Francis Xiatian Zhang, Jingjing Deng, Robert Lieck +1
Surgical workflow anticipation is the task of predicting the timing of relevant surgical events from live video data, which is critical in Robotic-Assisted Surgery (RAS). Accurate…
Artificial Intelligence for Geometry-Based Feature Extraction, Analysis and Synthesis in Artistic Images: A Survey
Mridula Vijendran, Jingjing Deng, Shuang Chen +2
Artificial Intelligence significantly enhances the visual art industry by analyzing, identifying and generating digitized artistic images. This review highlights the substantial be…
ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification
Mridula Vijendran, Frederick W. B. Li, Jingjing Deng +1
Painting classification plays a vital role in organizing, finding, and suggesting artwork for digital and classic art galleries. Existing methods struggle with adapting knowledge f…