Realizing high performance of ordinary robots is one of the core problems in robotic
research. Improving the performance of ordinary robots usually relies on the collaborative …

Patients with Parkinson's disease have a number of specific visual disturbances. These
include changes in colour vision and contrast sensitivity and difficulties with complex visual …

Driven by improved architectures and better representation learning frameworks, the field of
visual recognition has enjoyed rapid modernization and performance boost in the early …

Video self-supervised learning is a challenging task, which requires significant expressive
power from the model to leverage rich spatial-temporal knowledge and generate effective …

In natural images, information is conveyed at different frequencies where higher frequencies
are usually encoded with fine details and lower frequencies are usually encoded with global …

本文描述了基于虹膜识别的身份鉴别系统. 该系统包括虹膜图像摄取, 图像预处理,
特征提取和匹配四个部分. 虹膜图像摄取采用了自主开发研制的装置, 特征提取采用Gabor …

Blind or no-reference video quality assessment of user-generated content (UGC) has
become a trending, challenging, heretofore unsolved problem. Accurate and efficient video …

Dramatic progress has been witnessed in basic vision tasks involving low-level perception,
such as object recognition, detection, and tracking. Unfortunately, there is still enormous …

The transformer models have shown promising effectiveness in dealing with various vision
tasks. However, compared with training Convolutional Neural Network (CNN) models …

Available again, an influential book that offers a framework for understanding visual
perception and considers fundamental questions about the brain and its functions. David …