Image stitching aims to warp and align two or more images with overlapping areas to
generate a panorama with a larger field of view. Due to the wide baseline or the abrupt …

Abstract The Transformer deep model (Transformer) has been applied to explore temporal
dependencies between electroencephalography (EEG) data or electrode-based spatial …

Visual discomfort prediction (VDP) is used to evaluate a user's visual discomfort when
viewing stereoscopic images. The focus of this study is to explore more representative and …

摘要针对立体图像的多维影响因素和预测结果准确性不足的问题, 提出一种基于卷积神经网络-
支持向量回归(CNNSVR) 的立体图像视觉感知客观评价模型. 该模型将基于颜色的平面显著图 …

Abstract Capturing Night-Time Images (NTIs) with high-quality is quite challenging for
consumer photography and several practical applications. Thus, addressing the quality …

The prevalence of Transformer in learning the context-dependence motivates researchers to
introduce it to explore the dependence between electroencephalography (EEG) data for …