activity
20172025
most citedExploiting Color Name Space for Salient Object Detection

3 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2025

MalFlows: Context-aware Fusion of Heterogeneous Flow Semantics for Android Malware Detection

Zhaoyi Meng, Fenglei Xu, Wenxiang Zhao +5

Static analysis, a fundamental technique in Android app examination, enables the extraction of control flows, data flows, and inter-component communications (ICCs), all of which ar…

cs.CV2023

Two-level Graph Network for Few-Shot Class-Incremental Learning

Hao Chen, Linyan Li, Fan Lyu +3

Few-shot class-incremental learning (FSCIL) aims to design machine learning algorithms that can continually learn new concepts from a few data points, without forgetting knowledge…

cs.CV2022★ 1 cited

Multi-Label Continual Learning using Augmented Graph Convolutional Network

Kaile Du, Fan Lyu, Linyan Li +5

Multi-Label Continual Learning (MLCL) builds a class-incremental framework in a sequential multi-label image recognition data stream. The critical challenges of MLCL are the constr…

cs.LG2022★ 2 cited

Class-Incremental Lifelong Learning in Multi-Label Classification

Kaile Du, Linyan Li, Fan Lyu +3

Existing class-incremental lifelong learning studies only the data is with single-label, which limits its adaptation to multi-label data. This paper studies Lifelong Multi-Label (L…

cs.CV2022

AGCN: Augmented Graph Convolutional Network for Lifelong Multi-label Image Recognition

Kaile Du, Fan Lyu, Fuyuan Hu +4

The Lifelong Multi-Label (LML) image recognition builds an online class-incremental classifier in a sequential multi-label image recognition data stream. The key challenges of LML…

cs.CV2021

Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing

Liuqing Zhao, Fan Lyu, Fuyuan Hu +3

Sentence-based Image Editing (SIE) aims to deploy natural language to edit an image. Offering potentials to reduce expensive manual editing, SIE has attracted much interest recentl…

cs.CV2017★ 3 cited

Exploiting Color Name Space for Salient Object Detection

Jing Lou, Huan Wang, Longtao Chen +4

In this paper, we will investigate the contribution of color names for the task of salient object detection. An input image is first converted to color name space, which is consist…