348 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- City University of Hong KongHK5 papers
- National Institute of Advanced Industrial Science and TechnologyJP4 papers
- Chinese Academy of SciencesCN3 papers
- Michigan State UniversityUS3 papers
- Nanyang Technological UniversitySG3 papers
- Swansea UniversityGB3 papers
- Academy of Mathematics and Systems ScienceCN2 papers
- Beijing University of Posts and TelecommunicationsCN2 papers
- Gannan Normal UniversityCN2 papers
- Nanjing University of Aeronautics and AstronauticsCN2 papers
- Nankai UniversityCN2 papers
- Southwest UniversityCN2 papers
44 papers
Enhancing AIGC Service Efficiency with Adaptive Multi-Edge Collaboration in A Distributed System
Changfu Xu, Jianxiong Guo, Jiandian Zeng +4
The Artificial Intelligence Generated Content (AIGC) technique has gained significant traction for producing diverse content. However, existing AIGC services typically operate with…
Detecting Malicious Concepts without Image Generation in AI-Generated Content (AIGC)
Kun Xu, Wenying Wen, Shuren Qi +3
The task of text-to-image generation has achieved tremendous success in practice, with emerging concept generation models capable of producing highly personalized and customized co…
Superpixel-informed Implicit Neural Representation for Multi-Dimensional Data
Jiayi Li, Xile Zhao, Jianli Wang +2
Recently, implicit neural representations (INRs) have attracted increasing attention for multi-dimensional data recovery. However, INRs simply map coordinates via a multi-layer per…
On the well-posedness of the compressible Navier-Stokes equations
Zihua Guo, Minghua Yang, Zeng Zhang
We consider the Cauchy problem to the barotropic compressible Navier-Stokes equations. We obtain optimal local well-posedness in the sense of Hadamard in the critical Besov space $…
Lesion-aware network for diabetic retinopathy diagnosis
Xue Xia, Kun Zhan, Yuming Fang +2
Deep learning brought boosts to auto diabetic retinopathy (DR) diagnosis, thus, greatly helping ophthalmologists for early disease detection, which contributes to preventing diseas…
Representing Noisy Image Without Denoising
Shuren Qi, Yushu Zhang, Chao Wang +3
A long-standing topic in artificial intelligence is the effective recognition of patterns from noisy images. In this regard, the recent data-driven paradigm considers 1) improving…
On the continuity of the solution map of the Euler-Poincaré equations in Besov spaces
Min Li
By constructing a series of perturbation functions through localization in the Fourier domain and translation, we show that the data-to-solution map for the Euler-Poincaré equation…
Quantum mean centering for block-encoding-based quantum algorithm
Hai-Ling Liu, Chao-Hua Yu, Lin-Chun Wan +3
Mean Centering (MC) is an important data preprocessing technique, which has a wide range of applications in data mining, machine learning, and multivariate statistical analysis. Wh…
Experimental implementation of quantum algorithm for association rules mining
Chao-Hua Yu
Recently, a quantum algorithm for a fundamentally important task in data mining, association rules mining (ARM), called qARM for short, has been proposed. Notably, qARM achieves si…
Quantum Gaussian process regression
Menghan Chen, Gongde Guo, Song Lin +1
In this paper, a quantum algorithm based on gaussian process regression model is proposed. The proposed quantum algorithm consists of three sub-algorithms. One is the first quantum…
Weakly Supervised Video Anomaly Detection via Center-guided Discriminative Learning
Boyang Wan, Yuming Fang, Xue Xia +1
Anomaly detection in surveillance videos is a challenging task due to the diversity of anomalous video content and duration. In this paper, we consider video anomaly detection as a…
Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition
Jiebin Yan, Yu Zhong, Yuming Fang +2
Semantic segmentation is an extensively studied task in computer vision, with numerous methods proposed every year. Thanks to the advent of deep learning in semantic segmentation,…
Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
Qijian Zhang, Runmin Cong, Chongyi Li +5
Despite the remarkable advances in visual saliency analysis for natural scene images (NSIs), salient object detection (SOD) for optical remote sensing images (RSIs) still remains a…
Structured Sparsity Modeling for Improved Multivariate Statistical Analysis based Fault Isolation
Wei Chen, Jiusun Zeng, Xiaobin Xu +2
In order to improve the fault diagnosis capability of multivariate statistical methods, this article introduces a fault isolation framework based on structured sparsity modeling. T…
Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object Detection
Xuehao Wang, Shuai Li, Chenglizhao Chen +3
Existing RGB-D salient object detection methods treat depth information as an independent component to complement its RGB part, and widely follow the bi-stream parallel network arc…
Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object Detection
Chenglizhao Chen, Guotao Wang, Chong Peng +3
The current main stream methods formulate their video saliency mainly from two independent venues, i.e., the spatial and temporal branches. As a complementary component, the main t…
Perceptual Quality Assessment of Omnidirectional Images as Moving Camera Videos
Xiangjie Sui, Kede Ma, Yiru Yao +1
Omnidirectional images (also referred to as static 360° panoramas) impose viewing conditions much different from those of regular 2D images. How do humans perceive image distortion…
Non-uniform dependence for higher dimensional Camassa-Holm equations in Besov spaces
Jinlu Li, Wei Deng, Min Li
In this paper, we investigate the dependence on initial data of solutions to higher dimensional Camassa-Holm equations. We show that the data-to-solution map is not uniformly conti…
Non-uniform dependence for the Novikov equation in Besov spaces
Jinlu Li, Min Li, Weipeng Zhu
In this paper, we investigate the dependence on initial data of solutions to the Novikov equation. We show that the solution map is not uniformly continuous dependence on the initi…
Salient object detection on hyperspectral images using features learned from unsupervised segmentation task
Nevrez Imamoglu, Guanqun Ding, Yuming Fang +3
Various saliency detection algorithms from color images have been proposed to mimic eye fixation or attentive object detection response of human observers for the same scenes. Howe…
A class large solution of the 2D MHD equations with velocity and magnetic damping
Jinlu Li, Minghua Yang, Yanghai Yu
In this paper, we construct a class global large solution to the two-dimensional MHD equations with damp terms in the nonhomogeneous Sobolev framework.
Deep Smoke Segmentation
Feiniu Yuan, Lin Zhang, Xue Xia +3
Inspired by the recent success of fully convolutional networks (FCN) in semantic segmentation, we propose a deep smoke segmentation network to infer high quality segmentation masks…
Robustness Analysis of Pedestrian Detectors for Surveillance
Yuming Fang, Guanqun Ding, Yuan Yuan +2
To obtain effective pedestrian detection results in surveillance video, there have been many methods proposed to handle the problems from severe occlusion, pose variation, clutter…
Video Saliency Detection by 3D Convolutional Neural Networks
Guanqun Ding, Yuming Fang
Different from salient object detection methods for still images, a key challenging for video saliency detection is how to extract and combine spatial and temporal features. In thi…