期刊： NEUROCOMPUTING, 2021; 451 ()
Many methods achieve the visual object tracking task with deep learning technologies. As the deep features of different levels contain various semanti......
期刊： NEUROCOMPUTING, 2021; 452 ()
The challenge of robotic reproduction-making of new robots by recombining two existing ones-has been recently cracked and physically evolving robot sy......
期刊： NEUROCOMPUTING, 2021; 453 ()
The rocketing number of photos shared on social media leads to the increasing demand for photo editing. We here focus on a specific scenario -group di......
期刊： NEUROCOMPUTING, 2021; 453 ()
Person pose transfer, i.e., transferring the pose of a given person to a target pose, is a challenging task due to the complex interplay of appearance......
期刊： NEUROCOMPUTING, 2021; 454 ()
The skeletal data has been an alternative for the human action recognition task as it provides more com-pact and distinct information compared to the ......
期刊： NEUROCOMPUTING, 2021; 454 ()
Labanotation is a widely-used notation system for dance recording. Numerous methods for automatic Labanotation generation from motion capture data hav......
期刊： NEUROCOMPUTING, 2021; 455 ()
Quantized neural networks (NN) with reduced bit precision are practical solutions to minimize computational and memory resource requirements and play ......
期刊： NEUROCOMPUTING, 2021; 455 ()
Person re-identification (re-ID) has made substantial progress in recent years; however, it is still challenging to search for the target person in a ......
期刊： NEUROCOMPUTING, 2021; 456 ()
Sketch recognition remains a significant challenge due to the limited training data and the substantial intra-class variance of freehand sketches for ......
期刊： NEUROCOMPUTING, 2021; 456 ()
Light Field (LF) images have the unique advantage of recording scenes from multiple viewpoints, which provides many applications, such as refocusing a......
期刊： NEUROCOMPUTING, 2021; 458 ()
Biomedical ontology is a unified model for describing biomedical knowledge, which can be of help to solve the issues of heterogeneity in different bio......
期刊： NEUROCOMPUTING, 2021; 458 ()
Recent years have witnessed the increasing attentions on human action recognition(HAR). Traditional methods are prone to explore the optimum spatiotem......
期刊： NEUROCOMPUTING, 2021; 431 ()
The stability analysis of time-delay neural networks with reaction-diffusion terms in the sense of Riemann-Liouville derivative is still an open probl......
期刊： NEUROCOMPUTING, 2021; 431 ()
Seeking reliable correspondences between pairwise images is non-trivial in feature matching. In this paper, we propose a novel network, called the Spa......
