1 code implementation • 23 Jan 2025 • Guowei Yin, Sheng Huang, Luwen Huangfu, Yi Zhang, Xiaohong Zhang
MGRCL categorizes sample relations into three types: intra-sample relation of the same sample under different transformations, intra-class relation of homogenous samples, and inter-class relation of inhomogeneous samples.
no code implementations • 25 Apr 2024 • Zhihao Shuai, Yinan Chen, Shunqiang Mao, Yihan Zho, Xiaohong Zhang
However, the accuracy of the segmentation results is often limited by insufficient supervision and the complex nature of medical imaging.
no code implementations • CVPR 2024 • Yanwen Guo, Yuanqi Li, Dayong Ren, Xiaohong Zhang, Jiawei Li, Liang Pu, Changfeng Ma, Xiaoyu Zhan, Jie Guo, Mingqiang Wei, Yan Zhang, Piaopiao Yu, Shuangyu Yang, Donghao Ji, Huisheng Ye, Hao Sun, Yansong Liu, Yinuo Chen, Jiaqi Zhu, Hongyu Liu
In this paper we present LiDAR-Net a new real-scanned indoor point cloud dataset containing nearly 3. 6 billion precisely point-level annotated points covering an expansive area of 30000m^2.
1 code implementation • CVPR 2024 • Xiaohong Zhang, Huisheng Ye, Jingwen Li, Qinyu Tang, Yuanqi Li, Yanwen Guo, Jie Guo
Explicitly our method focuses on enhancing labeling using synthetic scenes crafted from 3D shapes generated via random prompts.
no code implementations • 7 Oct 2023 • Ziliang Wang, Xiaohong Zhang, Kechi Zhang, Ze Shi Li, Meng Yan
Individual objects, whether users or services, within a specific region often exhibit similar network states due to their shared origin from the same city or autonomous system (AS).
no code implementations • 3 Aug 2023 • Ziliang Wang, Xiaohong Zhang, Ze Shi Li, Sheng Huang, Meng Yan
Accurate Quality of Service (QoS) prediction is essential for enhancing user satisfaction in web recommendation systems, yet existing prediction models often overlook feature noise, focusing predominantly on label noise.
1 code implementation • 15 Mar 2023 • Han Yang, Qiuli Wang, Yue Zhang, Zhulin An, Chen Liu, Xiaohong Zhang, S. Kevin Zhou
Radiologists possess diverse training and clinical experiences, leading to variations in the segmentation annotations of lung nodules and resulting in segmentation uncertainty. Conventional methods typically select a single annotation as the learning target or attempt to learn a latent space comprising multiple annotations.
1 code implementation • 18 Mar 2020 • Fei Ding, Xiaohong Zhang, Justin Sybrandt, Ilya Safro
In addition, supervised graph representation learning requires labeled data, which is expensive and error-prone.
no code implementations • 14 Mar 2016 • Sheng Huang, Dan Yang, Bo Liu, Xiaohong Zhang
Moreover, we plug RH into two conventional hypergraph learning frameworks, namely hypergraph spectral clustering and hypergraph transduction, to present Regression-based Hypergraph Spectral Clustering (RHSC) and Regression-based Hypergraph Transduction (RHT) models for addressing the image clustering and classification issues.
no code implementations • 26 Aug 2014 • Sheng Huang, Dan Yang, Jia Zhou, Luwen Huangfu, Xiaohong Zhang
Then the Laplacian eigenmapping is adopted for deriving the graph Laplacian of the graph.
no code implementations • 28 Dec 2013 • Sheng Huang, Dan Yang, Haopeng Zhang, Luwen Huangfu, Xiaohong Zhang
We further exploit the representational power of Haar wavelet and present a novel low-level face representation named Shape Primitives Histogram (SPH) for face recognition.
no code implementations • 6 Nov 2013 • Sheng Huang, Dan Yang, Fei Yang, Yongxin Ge, Xiaohong Zhang, Jiwen Lu
We present an improved Locality Preserving Projections (LPP) method, named Gloablity-Locality Preserving Projections (GLPP), to preserve both the global and local geometric structures of data.