6 accepted papers
Transformers serve as the foundation of most modern large language models. To mitigate the quadratic complexity of standard full attention, various efficient attention mechanisms, such as linear and hybrid attention, have been developed. A fundamental gap remains: their expressive power relative to …
Motion capture now underpins content creation far beyond digital humans, yet most pipelines remain species- or template-specific. We formalize this gap as Category-Agnostic Motion Capture (CAMoCap): given a monocular video and an arbitrary rigged 3D asset as a prompt, the goal is to reconstruct a ro
In this letter, the 3-degree of freedom (DOF) 3RPS-SPS parallel mechanism with active and passive branches is proposed to use a single active input to realize the expected position adjustment, which can reduce its manufacturing and maintenance costs. The principle of motion of the 3RPS-SPS parallel
Beyond conventional paradigms of translating speech and text, recently, there has been interest in automated transcreation of images to facilitate localization of visual content across different cultures. Attempts to define this as a formal Machine Learning (ML) problem have been impeded by the lack…
To improve the precision of the 2RPU/UPR+R+P hybrid robot and fulfill production requirements, error compensation was explored. The robot's fixed coordinate system was first used to analyze the workbench error mapping matrix. Next, the correlation between the joint geometric errors and the moving pl
Recently, many model quantization approaches have been investigated to reduce the model size and improve the inference speed of convolutional neural networks (CNNs). However, these approaches usually inevitably lead to a decrease in classification accuracy. To address this problem, this paper propos…