Search Results for author: JiaYi Zhu

Found 9 papers, 4 papers with code

CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection

no code implementations27 Mar 2024 JiaYi Zhu, Qing Guo, Felix Juefei-Xu, Yihao Huang, Yang Liu, Geguang Pu

In this paper, we propose a novel robustness enhancement framework by first learning the concept of the co-salient objects based on the input group images and then leveraging this concept to purify adversarial perturbations, which are subsequently fed to CoSODs for robustness enhancement.

An Analysis of the Recovery Path of the Consumer Sector in the Post-Pandemic Era

no code implementations11 Feb 2024 Wenbo Lyu, JiaYi Zhu, Yunan Ding, Keming Zhang

This paper proposes a referencable pattern of the recovery of the consumption sector, a new dimension to observe and evaluate the intrinsic value of the consumption sector, and proposes the concept of sensory-based consumption and the ranking of the weights of different categories;creates the concept of digital consumption index, coupled with digital RMB index and China-style digital economy index.

PolarRec: Radio Interferometric Data Reconstruction with Polar Coordinate Representation

no code implementations28 Aug 2023 Ruoqi Wang, Zhuoyang Chen, JiaYi Zhu, Qiong Luo, Feng Wang

This representation matches the way in which radio telescopes observe a celestial area as the Earth rotates.

Astronomy

Edge-aware Hard Clustering Graph Pooling for Brain Imaging

1 code implementation23 Aug 2023 Cheng Zhu, JiaYi Zhu, Xi Wu, Lijuan Zhang, Shuqi Yang, Ping Liang, Honghan Chen, Ying Tan

In this paper, we propose a novel edge-aware hard clustering graph pool (EHCPool), which is tailored to dominant edge features and redefines the clustering process.

Clustering Graph Clustering +1

DC-Net: Divide-and-Conquer for Salient Object Detection

1 code implementation24 May 2023 JiaYi Zhu, Xuebin Qin, Abdulmotaleb Elsaddik

In this paper, we introduce Divide-and-Conquer into the salient object detection (SOD) task to enable the model to learn prior knowledge that is for predicting the saliency map.

Object object-detection +2

Temporal Dynamic Synchronous Functional Brain Network for Schizophrenia Diagnosis and Lateralization Analysis

1 code implementation31 Mar 2023 Cheng Zhu, Ying Tan, Shuqi Yang, Jiaqing Miao, JiaYi Zhu, Huan Huang, Dezhong Yao, Cheng Luo

The available evidence suggests that dynamic functional connectivity (dFC) can capture time-varying abnormalities in brain activity in resting-state cerebral functional magnetic resonance imaging (rs-fMRI) data and has a natural advantage in uncovering mechanisms of abnormal brain activity in schizophrenia(SZ) patients.

Hybrid Dual Mean-Teacher Network With Double-Uncertainty Guidance for Semi-Supervised Segmentation of MRI Scans

1 code implementation9 Mar 2023 JiaYi Zhu, Bart Bolsterlee, Brian V. Y. Chow, Yang song, Erik Meijering

We then propose a hybrid regularization module to encourage both student models to produce results close to the uncertainty-weighted hybrid prediction.

Image Segmentation Medical Image Segmentation +3

Masked Faces with Faced Masks

no code implementations17 Jan 2022 JiaYi Zhu, Qing Guo, Felix Juefei-Xu, Yihao Huang, Yang Liu, Geguang Pu

Modern face recognition systems (FRS) still fall short when the subjects are wearing facial masks, a common theme in the age of respiratory pandemics.

Face Recognition

ALA: Naturalness-aware Adversarial Lightness Attack

no code implementations16 Jan 2022 Yihao Huang, Liangru Sun, Qing Guo, Felix Juefei-Xu, JiaYi Zhu, Jincao Feng, Yang Liu, Geguang Pu

To obtain adversarial examples with a high attack success rate, we propose unconstrained enhancement in terms of the light and shade relationship in images.

Adversarial Attack Denoising +2

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