no code implementations • 29 May 2024 • Rui Yang, Shuang Wang, Yingping Han, Yuanheng Li, Dong Zhao, Dou Quan, Yanhe Guo, Licheng Jiao
Our method comprises three key innovations: (1) Multi-scale Cross-Modal Alignment Transformer (MSCMAT), which computes cross-attention between single-scale image features and localized text features, integrating global textual context to derive a matching score matrix within a mini-batch, (2) a multi-scale cross-modal semantic alignment loss that enforces semantic alignment across scales, and (3) a cross-scale multi-modal semantic consistency loss that uses the matching matrix from the largest scale to guide alignment at smaller scales.
1 code implementation • 15 Apr 2024 • Bin Wang, Fei Deng, Peifan Jiang, Shuang Wang, Xiao Han, Zhixuan Zhang
Low-dose computed tomography (LDCT) has become the technology of choice for diagnostic medical imaging, given its lower radiation dose compared to standard CT, despite increasing image noise and potentially affecting diagnostic accuracy.
1 code implementation • 18 Mar 2024 • Shuang Wang, Fei Deng, Peifan Jiang, Zishan Gong, Xiaolin Wei, Yuqing Wang
In response to this challenge, we propose a novel diffusion model reconstruction framework tailored for 3D seismic data.
no code implementations • 4 Jan 2024 • Yuxuan Liu, Haozhao Wang, Shuang Wang, Zhiming He, Wenchao Xu, Jialiang Zhu, Fan Yang
Estimating causal effects among different events is of great importance to critical fields such as drug development.
no code implementations • 12 Dec 2023 • Yuwei Guo, WenHao Zhang, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu
Visible-infrared person re-identification (VI-ReID) aims to search the same pedestrian of interest across visible and infrared modalities.
1 code implementation • 11 Dec 2023 • Dong Zhao, Ruizhi Yang, Shuang Wang, Qi Zang, Yang Hu, Licheng Jiao, Nicu Sebe, Zhun Zhong
This approach formulates pseudo-labels at the connectivity level and thus can facilitate learning structured and low-noise semantics.
no code implementations • 24 Nov 2023 • Yankun Xu, Jie Yang, Wenjie Ming, Shuang Wang, Mohamad Sawan
An accurate and efficient epileptic seizure onset detection system can significantly benefit patients.
1 code implementation • 29 Aug 2023 • Shuang Wang, Bahaeddin Eravci, Rustam Guliyev, Hakan Ferhatosmanoglu
Graph Neural Network (GNN) training and inference involve significant challenges of scalability with respect to both model sizes and number of layers, resulting in degradation of efficiency and accuracy for large and deep GNNs.
no code implementations • 4 Jan 2023 • Yankun Xu, Jie Yang, Wenjie Ming, Shuang Wang, Mohamad Sawan
And, a novel multiscale STFT-based feature extraction method combined with 3D-CNN architecture is proposed to accurately capture predictive probabilities of samples.
1 code implementation • CVPR 2023 • Dong Zhao, Shuang Wang, Qi Zang, Dou Quan, Xiutiao Ye, Licheng Jiao
Unsupervised domain adaptation (UDA) in semantic segmentation transfers the knowledge of the source domain to the target one to improve the adaptability of the segmentation model in the target domain.
no code implementations • ICCV 2023 • Dong Zhao, Shuang Wang, Qi Zang, Dou Quan, Xiutiao Ye, Rui Yang, Licheng Jiao
Domain adaptive semantic segmentation aims to adapt a model trained on labeled source domain to the unlabeled target domain.
no code implementations • 26 Sep 2022 • Jianchao Lu, Yuzhe Tian, Shuang Wang, Michael Sheng, Xi Zheng
Sleep stage recognition is crucial for assessing sleep and diagnosing chronic diseases.
no code implementations • 6 Sep 2022 • Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao, Junjue Wang, Yanfei Zhong, Dong Zhao, Qi Zang, Shuang Wang, Fahong Zhang, Yilei Shi, Xiao Xiang Zhu, Lin Bai, Weile Li, Weihang Peng, Pedram Ghamisi
The objective of the competition is to automatically detect landslides based on large-scale multiple sources of satellite imagery collected globally.
no code implementations • 23 Jul 2022 • Tianle Ni, Jingwei Wang, Yunlong Ma, Shuang Wang, Min Liu, Weiming Shen
Here, we present a careful theoretical and empirical analysis of the ATDC algorithm, showing that the calculation of anomaly scores in both stages can be simplified, and that the second stage of the algorithm is much more important than the first stage.
no code implementations • 5 Dec 2021 • Shuang Wang, Jian Du
Conclusions: Comment-derived evidence assertions have the potential as an evidence appraisal tool for heuristic decisions based on the accuracy, sensitivity, and efficiency of evidence-comment networks.
no code implementations • 7 May 2021 • Shuang Wang, Dong Zhao, Yi Li, Chi Zhang, Yuwei Guo, Qi Zang, Biao Hou, Licheng Jiao
Feature alignment between domains is one of the mainstream methods for Unsupervised Domain Adaptation (UDA) semantic segmentation.
no code implementations • 30 Nov 2020 • Shuang Wang, Jun Yang
This study improves the understanding of wave--mean flow interactions on tidally locked planets.
Atmospheric and Oceanic Physics Earth and Planetary Astrophysics Fluid Dynamics
no code implementations • 17 Nov 2020 • Guan-Jie Fan-Yuan, Wei Chen, Feng-Yu Lu, Zhen-Qiang Yin, Shuang Wang, Guang-Can Guo, Zheng-Fu Han
Our framework focuses on realistic characters of optical devices and system structures.
Quantum Physics Optics
1 code implementation • RSC advances 2020 • Mingjian Jiang, Zhen Li, Shugang Zhang, Shuang Wang, XiaoFeng Wang, Qing Yuan, Zhiqiang Wei
Computer-aided drug design uses high-performance computers to simulate the tasks in drug design, which is a promising research area.
Ranked #3 on Drug Discovery on LIT-PCBA(ESR1_ant)
no code implementations • ICCV 2019 • Shuang Wang, Yanfeng Li, Xuefeng Liang, Dou Quan, Bowu Yang, Shaowei Wei, Licheng Jiao
Recent studies on image patch matching are paying more attention on hard sample learning, because easy samples do not contribute much to the network optimization.
1 code implementation • Journal of Chemical Information and Modeling 2019 • Xiao-Feng Wang, Zhen Li, Mingjian Jiang, Shuang Wang, Shugang Zhang, Zhiqiang Wei
And, multiple C-SGELs are stacked to construct a convolution spatial graph embedding network (C-SGEN) for end-to-end representation learning.
Ranked #2 on Graph Regression on Lipophilicity
no code implementations • ECCV 2018 • Boyu Chen, Dong Wang, Peixia Li, Shuang Wang, Huchuan Lu
In this work, we propose a novel tracking algorithm with real-time performance based on the âActor-Criticâ framework.
no code implementations • 6 Jul 2017 • Chuankun Li, Pichao Wang, Shuang Wang, Yonghong Hou, Wanqing Li
Recent methods based on 3D skeleton data have achieved outstanding performance due to its conciseness, robustness, and view-independent representation.
1 code implementation • 7 Mar 2017 • Md Nazmus Sadat, Md Momin Al Aziz, Noman Mohammed, Feng Chen, Shuang Wang, Xiaoqian Jiang
In this article, we present SAFETY, a hybrid framework, which can securely perform GWAS on federated genomic datasets using homomorphic encryption and recently introduced secure hardware component of Intel Software Guard Extensions (Intel SGX) to ensure high efficiency and privacy at the same time.
Cryptography and Security
no code implementations • 6 Apr 2016 • Shuang Wang, Bo Yue, Xuefeng Liang, Peiyuan Ji, Licheng Jiao
Wisely utilizing the internal and external learning methods is a new challenge in super-resolution problem.