A5035136988- Quantum Chromodynamics and Particle Interactions
- Particle physics theoretical and experimental studies
- Image Processing Techniques and Applications
- Advanced Vision and Imaging
- Face and Expression Recognition
- Advanced Image Processing Techniques
- Dark Matter and Cosmic Phenomena
- Atomic and Subatomic Physics Research
- Traffic Prediction and Management Techniques
- Stock Market Forecasting Methods
- Video Surveillance and Tracking Methods
- Face recognition and analysis
- Time Series Analysis and Forecasting
- Advanced Computing and Algorithms
- High-Energy Particle Collisions Research
- Emotion and Mood Recognition
Shandong Institute of Business and Technology
2023-2024
Shandong University of Finance and Economics
2024
Institute of High Energy Physics
2001
Abstract Recently, facial-expression recognition (FER) has primarily focused on images in the wild, including factors such as face occlusion and image blurring, rather than laboratory images. Complex field environments have introduced new challenges to FER. To address these challenges, this study proposes a cross-fusion dual-attention network. The network comprises three parts: (1) grouped mechanism refine local features obtain global information; (2) proposed C 2 activation function...
Video super-resolution techniques aim to obtain high-resolution equivalents of existing low-resolution videos through a series operations. In recent research, transformers have been increasingly popular because their remarkable abilities in parallel computing and efficient extraction space-time sequence features from videos. Moreover, combining self-attention multi-scale methods has yielded excellent results. However, the combination two limitations, current up-sampling struggle match global...
With the continuous development of deep learning, long sequence time-series forecasting (LSTF) has attracted more and attention in power consumption prediction, traffic prediction stock prediction. In recent studies, various improved models Transformer are favored. While these have made breakthroughs reducing time space complexity Transformer, there still some problems, such as predictive model being slightly lower than that Transformer. And ignore importance special values series. To solve...
Radiative decays of the radially excited charmonium resonance, \psi(2S), into \pi\pi, K Kbar and \eta\eta final states have been measured in a sample 3.96 * 10^6 \psi(2S) events collected by BES collaboration. The branching ratios B(\psi(2S) -> \gamma f_{2}(1270)) = (2.27 +- 0.26 0.39) 10^{-4} f_0(1710)) B(f_0(1710) K^+ K^-) (5.59 1.12 0.93) 10^{-5} are obtained. When compared to corresponding radiative J/\psi decays, observed decay rates f_2(1270) f_0(1710) consistent with 15% rule.
A sample of 3.95M $\ensuremath{\psi}(2S)$ decays registered in the BES detector are used to study final states containing pairs octet and decuplet baryons. We report branching fractions for $\ensuremath{\psi}(2S)\ensuremath{\rightarrow}p\overline{p},$ $\ensuremath{\Lambda}\overline{\ensuremath{\Lambda}},$ ${\ensuremath{\Sigma}}^{0}{\overline{\ensuremath{\Sigma}}}^{0},$ ${\ensuremath{\Xi}}^{\ensuremath{-}}{\overline{\ensuremath{\Xi}}}^{+},$...
Image sequence interpolation is a critical research area in computer vision with broad applications video frame and medical image interlayer interpolation. Traditional deep learning-based methods this domain predominantly rely on convolutional neural networks (CNNs), which, despite their effectiveness, are limited by the inherent constraints of CNN architecture, impacting accuracy. To address these limitations, we introduce Pre-ISIformer, parallel multi-channel adaptive network founded...
Recent multi-view subspace clustering achieves impressive results utilizing deep networks, where the self-expressive correlation is typically modeled by a fully connected (FC) layer. However, they still suffer from two limitations. i) The parameter scale of FC layer quadratic to sample numbers, resulting in high time and memory costs that significantly degrade their feasibility large-scale datasets. ii) It under-explored extract unified representation simultaneously satisfies minimal...