Qing Zhang's Personal Homepage

About

I received my Ph.D. degree at East China University of Science and Technology (ECUST) in 2012, supervised by Prof. Jiajun Lin. I received my B.S. degree at ECUST in 2007. My research interests include saliency detection, camouflaged object detection, multi-modal image segmentation, and computer vision.

Selected Papers

2025

Frequency-guided Camouflaged Object Detection with Perceptual Enhancement and Dynamic Balance
Yuetong Li, Yilin Zhao, Qing Zhang*, Qiangqiang Zhou, Yanjiao Shi
IEEE International Conference on Multimedia & Expo (ICME), 2025
[Code]

Rethinking Camouflaged Object Detection via Foreground-background Interactive Learning
Chenxi Zhang, Qing Zhang*, Jiayun Wu
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
[Code] [PDF]

Bilateral Decoupling Complementarity Learning Network for Camouflaged Object Detection
Rui Zhao, Yuetong Li, Qing Zhang*, Xinyi Zhao
Knowledge-Based Systems (KBS), 2025, 314: 113158
[PDF]

Camouflaged Object Detection with CNN-Transformer Harmonization and Calibration
Yilin Zhao, Qing Zhang*, Yuetong Li
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
[PDF]

FLRNet: A Bio-inspired Three-stage Network for Camouflaged Object Detection via Filtering, Localization and Refinement
Yilin Zhao, Qing Zhang*, Yuetong Li
Neurocomputing (NEURO), 2025, 626: 129523
[PDF]

HRPVT: High-Resolution Pyramid Vision Transformer for Medium and Small-scale Human Pose Estimation
Zhoujie Xu, Meng Dai*, Qing Zhang, Xiaodi Jiang
Neurocomputing (NEURO), 2025, 619(28): 129154
[PDF]

A Dual-stream Learning Framework for Weakly Supervised Salient Object Detection with Multi-strategy Integration
Yuyan Liu, Qing Zhang*, Yilin Zhao, Yanjiao Shi
The Visual Computer (TVC), 2025.
[Code] [PDF]

FGNet: Feature Calibration and Guidance Refinement for Camouflaged Object Detection
Qiang Yu, Qing Zhang*, Yanjiao Shi, Qiangqiang Zhou
International Joint Conference on Neural Networks (IJCNN), 2025
[Code]

HEFNet: Hierarchical Unimodal Enhancement and Multi-modal Fusion for RGB-T Salient Object Detection
Jiayun Wu, Qing Zhang*, Chenxi Zhang, Yanjiao Shi, Qiangqiang Zhou
International Joint Conference on Neural Networks (IJCNN), 2025
[Code]

Dual-domain Collaboration Learning Network for Camouflaged Object Detection
Jingming Wang, Qing Zhang*, Xinyi Zhao, Yanjiao Shi, Qiangqiang Zhou
International Joint Conference on Neural Networks (IJCNN), 2025
[Code]

Direction-Oriented Edge Reconstruction Network for Camouflaged Object Detection
Xiaoxu Yang, Qing Zhang*, Qiangqiang Zhou
International Joint Conference on Neural Networks (IJCNN), 2025
[Code]

2024

Salient Object Detection with Edge-guided Learning and Specific Aggregation
Liqian Zhang, Qing Zhang*
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024, 34(1): 534-548
[PDF] [Code]

Bi-directional Boundary-object Interaction and Refinement Network for Camouflaged Object Detection
Jicheng Yang, Qing Zhang*, Yilin Zhao, Yuetong Li, Zeming Liu
IEEE International Conference on Multimedia and Expo (ICME), 2024
[PDF] [Code]

Detecting Camouflaged Object via Cross-level Context Supplement
Qing Zhang*, Weiqi Yan, Rui Zhao, Yanjiao Shi
Applied Intelligence, 2024
[PDF] [Code]

BMFNet: Bifurcated Multi-Modal Fusion Network for RGB-D Salient Object Detection
Chenwang Sun, Qing Zhang*, Chenyu Zhuang, Mingqian Zhang
Image and Vision Computing (IMAVIS), 2024, 147: 105048
[PDF] [Results]

Frequency Learning Network with Dual-Guidance Calibration for Camouflaged Object Detection
Yilin Zhao, Qing Zhang*, Yuetong Li
Asian Conference on Computer Vision (ACCV), 2024.
[Code] [PDF]

Transformer-based Depth Optimization Network for RGB-D Salient Object Detection
Lu Li, Yanjiao Shi*, Jingyu Yang, Qiangqiang Zhou, Qing Zhang, Liu Cui
International Conference on Pattern Recognition (ICPR), 2024.
[PDF]

AFINet: Camouflaged object detection via attention fusion and interaction network
Qing Zhang, Weiqi Yan, Yilin Zhao, Qi Jin, Yu Zhang*
Journal of Visual Communication and Image Representation (JVCIR), 2024
[PDF] [Code]

Boosting transferability of adversarial samples via saliency distribution and frequency domain enhancement
Yixuan Wang, Wei Hong, Xueqin Zhang*, Qing Zhang, Chunhua Gu
Knowledge-Based Systems (KBS), 2024, 300: 112152
[PDF]

Light-sensitive and adaptive fusion network for RGB-T crowd counting
Liangjun Huang*, Wencan Kang, Guangkai Chen, Qing Zhang, Jianwei Zhang
The Visual Computer (TVC), 2024, 40(10): 7279-7292
[PDF]

Multi-branch feature fusion and refinement network for salient object detection
Jinyu Yang, Yanjiao Shi*, Jin Zhang, Qianqian Guo, Qing Zhang, Liu Cui
Multimedia Systems, 2024, 30(4): 190
[PDF]

D2Net: discriminative feature extraction and details preservation network for salient object detection
Qianqian Guo, Yanjiao Shi*, Jin Zhang, Jinyu Yang, Qing Zhang
Journal of Electronic Imaging (JEI), 2024, 33(4): : 043047
[PDF]

2023

Depth cue enhancement and guidance network for RGB-D salient object detection
Xiang Li, Qing Zhang*, Weiqi Yan, Meng Dai
Journal of Visual Communication and Image Representation (JVCIR), 2023, 95: 103880
[PDF] [Code]

CFANet: A Cross-layer Feature Aggregation Network for Camouflaged Object Detection
Qing Zhang*, Weiqi Yan
IEEE International Conference on Multimedia and Expo (ICME), 2023: 2441-2446
[PDF] [Code]

TCRNet: a trifurcated cascaded refinement network for salient object detection
Qing Zhang*, Rui Zhao, Liqian Zhang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023, 33(1): 298-311
[PDF] [Code]

Polyp-Mixer: An Efficient Context-Aware MLP-based Paradigm for Polyp Segmentation
Jinghui Shi, Qing Zhang*, Yuhao Tang, Zhongqun Zhang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023, 33(1): 30-42
[PDF]

Motion Analysis and Reconstruction of Human Joint Regions for Sparse RGBD Images
Tianzhen Dong, Yuntao Bai, Qing Zhang, Yi Zhang
IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2023: 773-774
[PDF]

SC2Net: Scale-aware Crowd Counting Network with Pyramid Dilated Convolution Lanjun Liang*, Huailin Zhao, Fangbo Zhou, Qing Zhang, Zhili Song, Qingxuan Shi
Applied Intelligence, 2023, 53(5): 5146-5159

2022

Progressive dual-attention residual network for salient object detection
Liqian Zhang, Qing Zhang*, Rui Zhao
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022, 32(9): 5902-5915
[PDF] [Code]

Residual attentive feature learning network for salient object detection
Qing Zhang*, Yanjiao Shi, Xueqin Zhang, Liqian Zhang
Neurocomputing (NEURO), 2022, 51:741-752
[PDF]

Cross-modal and multi-level feature refinement network for RGB-D salient object detection
Yue Gao, Meng Dai*, Qing Zhang
The Visual Computer (TVC), 2022, 39: 3979-3994
[PDF]

COMAL: compositional multi-scale feature enhanced learning for crowd counting
Fangbo Zhou, Huailin Zhao*, Yani Zhang, Qing Zhang, Lanjun Liang, Yaoyao Li, Zuodong Duan
Multimedia Tools and Applications, 2022, 81(15): 20541-20560
[PDF]

R2Net: Residual refinement network for salient object detection
Jin Zhang, Qiuwei Liang, Qianqian Guo, Jinyu Yang, Qing Zhang, Yanjiao Shi*
Image and Vision Computing (IMAVIS), 2022, 120: 104423
[PDF]

Attention guided contextual feature fusion network for salient object detection
Jin Zhang, Yanjiao Shi*, Qing Zhang, Liu Cui, Ying Chen, Yugen Yi
Image and Vision Computing (IMAVIS), 2022, 117: 104337
[PDF]

2021

Global and local information aggregation network for edge-aware salient object detection
Qing Zhang*, Liqian Zhang, Dong Wang, Yanjiao Shi, Jianjun Lin
Journal of Visual Communication and Image Representation (JVCIR), 2021, 81: 103350
[PDF]

Deep saliency detection via spatial-wise dilated convolutional attention
Wenzhao Cui, Qing Zhang*, Baochuan Zuo
Neurocomputing, 2021, 445: 35-49
[PDF]

Edge-aware salient object detection network via context guidance
Xiaowei Chen, Qing Zhang*, Liqian Zhang
Image and Vision Computing (IMAVIS), 2021, 110: 104166
[PDF]

Salient object detection network with multi-scale feature refinement and boundary feedback
Qing Zhang*, Xiang Li
Image and Vision Computing (IMAVIS), 2021, 116: 104326
[PDF]

2020

Attention and boundary guided salient object detection
Qing Zhang*, Yanjiao Shi, Xueqin Zhang
Pattern Recognition (PR), 2020, 107: 107-484
[PDF]

Attentive feature integration network for detecting salient objects in images
Qing Zhang*, Wenzhao Cui, Yanjiao Shi, Xueqin Zhang
Neurocomputing, 2020, 411: 268-281
[PDF]

2019 and Before

Multi-level and multi-scale deep saliency network for salient object detection
Qing Zhang*, Jiajun Lin, Jingjing Zhuge, Wenhao Yuan
Journal of Visual Communication and Image Representation (JVCIR), 2019, 59: 415-424

Kernel null-space-based abnormal event detection using hybrid motion information
Yanjiao Shi, Yugen Yi, Qing Zhang*, Jiangyan Dai
Journal of Electronic Imaging (JEI), 2019, 28(2): 021011

Hierarchical Salient Object Detection Network with Dense Connections
Qing Zhang*, Jianchen Shi, Baochuan Zuo, Meng Dai, Tianzhen Dong, Xiao Qi
International Conference on Image and Graphics (ICIG), 2019: 454-466

Salient object detection via compactness and objectness cues
Qing Zhang*, Jiajun Lin, Wenju Li, Yanjiao Shi, Guogang Cao
The Visual Computer (TVC), 2018, 34(4): 473-489

Salient object detection via color and texture cues
Qing Zhang*, Jiajun Lin, Yanyun Tao, Wenju Li, Yanjiao Shi
Neurocomputing (NEURO), 2017, 3(21): 35-48

Two-stage absorbing markov chain for salient object detection
Qing Zhang*, Desi Luo, Wenju Li, Yanjiao Shi, Jiajun Lin
International Conference on Image Processing (ICIP), 2017: 895-899

A systematic EHW approach to the evolutionary design of sequential circuits
Yanyun Tao*, Qing Zhang, Lijun Zhang, Yuzhen Zhang
Soft Computing, 2013, 20(12): 5025-5038

Salient Object Detection via Structure Extraction and Region Contrast
Qing Zhang*, Jiajun Lin, Xiaodan Li
Journal of Information Science and Engineering (JISE),2016, 32(6): 1435-1454

Saliency-based abnormal event detection in crowded scenes
Yanjiao Shi*, Yunxiang Liu, Qing Zhang, Yugen Yi, Wenju Li
Journal of Electronic Imaging (JEI), 2016, 25(6): 61608

Structure extraction and region contrast based salient object detection
Qing Zhang*, Jiajun Lin, Zhigang Xie
International Conference on Digital Image Processing (ICDIP), 2016.

Exemplar-based image inpainting using color distribution analysis
Qing Zhang*, Jiajun Lin
Journal of Information Science and Engineering (JISE), 2012, 28(4): 641-654.

Image inpainting via variation of variances and linear weighted filling-in
Qing Zhang*, Jiajun Lin
Optical Engineering, 2011, 50(7): 077001.

A data-driven personal website ====== Like many other Jekyll-based GitHub Pages templates, Academic Pages makes you separate the website's content from its form. The content & metadata of your website are in structured markdown files, while various other files constitute the theme, specifying how to transform that content & metadata into HTML pages. You keep these various markdown (.md), YAML (.yml), HTML, and CSS files in a public GitHub repository. Each time you commit and push an update to the repository, the [GitHub pages](https://pages.github.com/) service creates static HTML pages based on these files, which are hosted on GitHub's servers free of charge. Many of the features of dynamic content management systems (like Wordpress) can be achieved in this fashion, using a fraction of the computational resources and with far less vulnerability to hacking and DDoSing. You can also modify the theme to your heart's content without touching the content of your site. If you get to a point where you've broken something in Jekyll/HTML/CSS beyond repair, your markdown files describing your talks, publications, etc. are safe. You can rollback the changes or even delete the repository and start over - just be sure to save the markdown files! Finally, you can also write scripts that process the structured data on the site, such as [this one](https://github.com/academicpages/academicpages.github.io/blob/master/talkmap.ipynb) that analyzes metadata in pages about talks to display [a map of every location you've given a talk](https://academicpages.github.io/talkmap.html). Getting started ====== 1. Register a GitHub account if you don't have one and confirm your e-mail (required!) 2. Fork [this template](https://github.com/academicpages/academicpages.github.io) by clicking the "Use this template" button in the top right. 3. Go to the repository's settings (rightmost item in the tabs that start with "Code", should be below "Unwatch"). Rename the repository "[your GitHub username].github.io", which will also be your website's URL. 4. Set site-wide configuration and create content & metadata (see below -- also see [this set of diffs](http://archive.is/3TPas) showing what files were changed to set up [an example site](https://getorg-testacct.github.io) for a user with the username "getorg-testacct") 5. Upload any files (like PDFs, .zip files, etc.) to the files/ directory. They will appear at https://[your GitHub username].github.io/files/example.pdf. 6. Check status by going to the repository settings, in the "GitHub pages" section Site-wide configuration ------ The main configuration file for the site is in the base directory in [_config.yml](https://github.com/academicpages/academicpages.github.io/blob/master/_config.yml), which defines the content in the sidebars and other site-wide features. You will need to replace the default variables with ones about yourself and your site's github repository. The configuration file for the top menu is in [_data/navigation.yml](https://github.com/academicpages/academicpages.github.io/blob/master/_data/navigation.yml). For example, if you don't have a portfolio or blog posts, you can remove those items from that navigation.yml file to remove them from the header. Create content & metadata ------ For site content, there is one markdown file for each type of content, which are stored in directories like _publications, _talks, _posts, _teaching, or _pages. For example, each talk is a markdown file in the [_talks directory](https://github.com/academicpages/academicpages.github.io/tree/master/_talks). At the top of each markdown file is structured data in YAML about the talk, which the theme will parse to do lots of cool stuff. The same structured data about a talk is used to generate the list of talks on the [Talks page](https://academicpages.github.io/talks), each [individual page](https://academicpages.github.io/talks/2012-03-01-talk-1) for specific talks, the talks section for the [CV page](https://academicpages.github.io/cv), and the [map of places you've given a talk](https://academicpages.github.io/talkmap.html) (if you run this [python file](https://github.com/academicpages/academicpages.github.io/blob/master/talkmap.py) or [Jupyter notebook](https://github.com/academicpages/academicpages.github.io/blob/master/talkmap.ipynb), which creates the HTML for the map based on the contents of the _talks directory). **Markdown generator** The repository includes [a set of Jupyter notebooks](https://github.com/academicpages/academicpages.github.io/tree/master/markdown_generator ) that converts a CSV containing structured data about talks or presentations into individual markdown files that will be properly formatted for the Academic Pages template. The sample CSVs in that directory are the ones I used to create my own personal website at stuartgeiger.com. My usual workflow is that I keep a spreadsheet of my publications and talks, then run the code in these notebooks to generate the markdown files, then commit and push them to the GitHub repository. How to edit your site's GitHub repository ------ Many people use a git client to create files on their local computer and then push them to GitHub's servers. If you are not familiar with git, you can directly edit these configuration and markdown files directly in the github.com interface. Navigate to a file (like [this one](https://github.com/academicpages/academicpages.github.io/blob/master/_talks/2012-03-01-talk-1.md) and click the pencil icon in the top right of the content preview (to the right of the "Raw | Blame | History" buttons). You can delete a file by clicking the trashcan icon to the right of the pencil icon. You can also create new files or upload files by navigating to a directory and clicking the "Create new file" or "Upload files" buttons. Example: editing a markdown file for a talk ![Editing a markdown file for a talk](/images/editing-talk.png) For more info ------ More info about configuring Academic Pages can be found in [the guide](https://academicpages.github.io/markdown/), the [growing wiki](https://github.com/academicpages/academicpages.github.io/wiki), and you can always [ask a question on GitHub](https://github.com/academicpages/academicpages.github.io/discussions). The [guides for the Minimal Mistakes theme](https://mmistakes.github.io/minimal-mistakes/docs/configuration/) (which this theme was forked from) might also be helpful.

Qing Zhang (张晴)