Published in Journal of Computer Science and Technology
Existing physical cloth simulators suffer from expensive computation and difficulties in tuning mechanical parameters to get desired wrinkling behaviors. Data-driven methods provide an alternative solution. They typically synthesize cloth animation at a much lower computational cost, and also create wrinkling effects that are similar to the trainin...
Published in Journal of Computer Science and Technology
Indoor visual localization, i.e., 6 Degree-of-Freedom camera pose estimation for a query image with respect to a known scene, is gaining increased attention driven by rapid progress of applications such as robotics and augmented reality. However, drastic visual discrepancies between an onsite query image and prerecorded indoor images cast a signifi...
Published in Journal of Computer Science and Technology
The 3D object tracking from a monocular RGB image is a challenging task. Although popular color and edge-based methods have been well studied, they are only applicable to certain cases and new solutions to the challenges in real environment must be developed. In this paper, we propose a robust 3D object tracking method with adaptively weighted loca...
Published in Journal of Computer Science and Technology
Published in Journal of Computer Science and Technology
Automatic text summarization (ATS) has achieved impressive performance thanks to recent advances in deep learning (DL) and the availability of large-scale corpora. The key points in ATS are to estimate the salience of information and to generate coherent results. Recently, a variety of DL-based approaches have been developed for better considering ...
Published in Journal of Computer Science and Technology
Partial label learning is a weakly supervised learning framework in which each instance is associated with multiple candidate labels, among which only one is the ground-truth label. This paper proposes a unified formulation that employs proper label constraints for training models while simultaneously performing pseudo-labeling. Unlike existing par...
Published in Journal of Computer Science and Technology
In multi-view stereo, unreliable matching in low-textured regions has a negative impact on the completeness of reconstructed models. Since the photometric consistency of low-textured regions is not discriminative under a local window, non-local information provided by the Markov Random Field (MRF) model can alleviate the matching ambiguity but is l...
Published in Journal of Computer Science and Technology
Face analysis tasks, e.g., estimating gender or age from a face image, have been attracting increasing interest in recent years. However, most existing studies focus mainly on analyzing an adult’s face and ignore an interesting question: is it easy to estimate gender and age from a baby’s face? In this paper, we explore this interesting problem. We...
Published in Journal of Computer Science and Technology
Published in Journal of Computer Science and Technology
Massive data is written to blockchain systems for the destination of keeping safe. However, existing blockchain protocols still demand that each full node has to contain the entire chain. Most nodes quit because they are unable to grow their storage space with the size of data. As the number of nodes decreases, the security of blockchains would sig...
