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Wujie Zhou Ph.D., Associate Professor Email: wujiezhou@163.com 中文简历 Research Interests: Computer vision Deep Learning Image Processing

Recent News

10/2023 One paper has been accepted by IEEE Transactions on Instrumentation and Measurement

10/2023 One paper has been accepted by IEEE Transactions on Circuits and Systems for Video Technology

10/2023 One paper has been accepted by IEEE Transactions on Multimedia

10/2023 One paper has been accepted by Expert Systems With Applications

10/2023 One paper has been accepted by IEEE Transactions on Intelligent Transportation Systems

09/2023 One paper has been accepted by IEEE Transactions on Intelligent Vehicles

09/2023 One paper has been accepted by IEEE Transactions on Automation Science and Engineering

08/2023 One paper has been accepted by IEEE Transactions on Geoscience and Remote Sensing

08/2023 One paper has been accepted by IEEE Transactions on Intelligent Transportation Systems

07/2023 One paper has been accepted by IEEE Transactions on Systems, Man, and Cybernetics: Systems

07/2023 One paper has been accepted by IEEE Transactions on Emerging Topics in Computational Intelligence

05/2023 One paper has been accepted by IEEE Transactions on Circuits and Systems for Video Technology

05/2023 One paper has been accepted by IEEE Transactions on Image Processing

02/2023 One paper has been accepted by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

02/2023 One paper has been accepted by IEEE Transactions on Intelligent Transportation Systems

02/2023 One paper has been accepted by IEEE Transactions on Image Processing

01/2023 One paper has been accepted by Information Fusion

01/2023 One paper has been accepted by IEEE Transactions on Instrumentation and Measurement

08/2022 One paper has been accepted by IEEE Transactions on Intelligent Transportation Systems

05/2022 One paper has been newly selected as ESI Hot Paper

05/2022 One paper has been accepted by IEEE Journal of Selected Topics in Signal Processing

05/2022 One paper is recognized as Popular Documents (the 50 most frequently accessed documents) in IEEE Transactions on Circuits and Systems for Video Technology.

04/2022 One paper has been accepted by IEEE Transactions on Intelligent Vehicles

03/2022 One paper has been accepted by IEEE Transactions on Multimedia

03/2022 One paper has been accepted by IEEE Journal of Selected Topics in Signal Processing

03/2022 One paper has been accepted by IEEE TETCI

01/2022 One paper has been newly selected as ESI Highly Cited Paper

01/2022 One paper is recognized as Popular Documents (the 50 most frequently accessed documents) in IEEE Transactions on Image Processing.

01/2022 One paper is recognized as Popular Documents (the 50 most frequently accessed documents) in IEEE Intelligent Systems.

12/2021 One paper has been accepted by AAAI2022, Acceptance rate 15%

11/2021 One paper has been newly selected as ESI Highly Cited Paper

09/2021 One paper has been accepted by IEEE TETCI

09/2021 One paper has been newly selected as ESI Highly Cited Paper

08/2021 One paper has been accepted by IEEE Transactions on Geoscience and Remote Sensing

08/2021 One paper has been accepted by IEEE Transactions on Image Processing

08/2021 One paper has been accepted by SCIENCE CHINA Information Sciences （中国科学）

08/2021 One paper has been accepted by IEEE Transactions on Neural Networks and Learning Systems

Selected Publications

Saliency Prediction / Salient Object Detection

W. Zhou*, Y. Zhu, J. Lei, R. Yang, and L. Yu, "LSNet: Lightweight Spatial Boosting Network for Detecting Salient Objects in RGB-Thermal Images," IEEE Transactions on Image Processing , doi: 10.1109/TIP.2023.3242775. (SCI) [IEEE Xplore] [Code & Results]

W. Zhou*, F. Sun, Q. Jiang, R. Cong, and J.-N. Hwang, "WaveNet: Wavelet Network with Knowledge Distillation for RGB-T Salient Object Detection," IEEE Transactions on Image Processing , doi: 10.1109/TIP.2023.3275538. (SCI) [IEEE Xplore] [Code & Results]

W. Zhou*, Q. Guo, J. Lei, L. Yu and J.-N. Hwang, "IRFR-Net: Interactive Recursive Feature-reshaping Network for Detecting Salient Objects in RGB-D Images," IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2021.3105484. (SCI, ESI Hot Paper, ESI Highly Cited Paper) [IEEE Xplore] [Results] 提取码: dwdn

W. Zhou*, Y. Lv, J. Lei and L. Yu, “Global and Local-Contrast Guides Content-Aware Fusion for RGB-D Saliency Prediction,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 6, pp. 3641-3649, 2021. doi: 10.1109/TSMC.2019.2957386. (SCI, ESI Highly Cited Paper) [IEEE Xplore] [Results] 提取码: 3pgj

W. Zhou*, J. Wu, J. Lei, J.-N. Hwang and L. Yu, “Salient Object Detection in Stereoscopic 3D Images Using a Deep Convolutional Residual Autoencoder,” IEEE Transactions on Multimedia, doi: 10.1109/TMM.2020.3025166. (SCI, ESI Highly Cited Paper) [IEEE Xplore]

W. Zhou*, Q. Guo, J. Lei, L. Yu and J.-N. Hwang, “ECFFNet: Effective and Consistent Feature Fusion Network for RGB-T Salient Object Detection,” IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2021.3077058. (SCI, ESI Hot Paper, ESI Highly Cited Paper) [IEEE Xplore] [Results] 提取码: tx48

W. Zhou*, Y. Zhu, J. Lei, J. Wan, and L. Yu, "CCAFNet: Crossflow and cross-scale adaptive fusion network for detecting salient objects in RGB-D images," IEEE Transactions on Multimedia, doi: 10.1109/TMM.2021.3077767. (SCI, ESI Highly Cited Paper) [IEEE Xplore] [Code & Results]

W. Zhou*, W. Liu, J. Lei, T. Luo, L. Yu, “Deep binocular fixation prediction using hierarchical multimodal fusion network,” IEEE Transactions on Cognitive and Developmental Systems, doi: 10.1109/TCDS.2021.3051010. (SCI) [IEEE Xplore]

W. Zhou*, S. Pan, J. Lei, and L. Yu, "TMFNet: Three-Input Multilevel Fusion Network for Detecting Salient Objects in RGB-D Images," IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2021.3097393. (SCI) [IEEE Xplore]

W. Zhou*, Y. Zhu, J. Lei, J. Wan, and L. Yu, "APNet: Adversarial-Learning-Assistance and Perceived Importance Fusion Network for All-Day RGB-T Salient Object Detection," IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2021.3118043. (SCI) [IEEE Xplore] [Code & Results]

W. Zhou*, C. Liu, J. Lei, and L. Yu, "Remaking learning: A lightweight network for saliency redetection on RGB-D images," SCIENCE CHINA Information Sciences （中国科学）, Accept. https://doi.org/10.1007/s11432-020-3337-9 (SCI) [Results] 提取码: zust

RGB–thermal Semantic Segmentation

W. Zhou*, S. Dong, C. Xu, Y. Qian, “Edge-aware guidance fusion network for RGB–thermal scene parsing,” in Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Accept, [Code & Results] (CCF A类)

W. Zhou*, J. Liu, J. Lei, L. Yu and J.-N. Hwang,“GMNet: Graded-Feature Multilabel-Learning Network for RGB-Thermal Urban Scene Semantic Segmentation," IEEE Transactions on Image Processing, vol. 30, pp. 7790-7802, 2021. doi: 10.1109/TIP.2021.3109518. (SCI, CCF A类, Popular Documents, ESI Hot Paper, ESI Highly Cited Paper) [IEEE Xplore] [Code & Results]

W. Zhou*, H. Zhang, W. Yan, and W. Lin, “MMSMCNet: Modal Memory Sharing and Morphological Complementary Networks for RGB-T Urban Scene Semantic Segmentation,” IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2023.3275314. (SCI) [IEEE Xplore] [Results]

W. Zhou*, X. Lin, J. Lei, L. Yu and J.-N. Hwang, "MFFENet: Multiscale Feature Fusion and Enhancement Network for RGB–Thermal Urban Road Scene Parsing,” IEEE Transactions on Multimedia, doi: 10.1109/TMM.2021.3086618. (SCI, ESI Highly Cited Paper) [IEEE Xplore] [Results] 提取码: 1d45

W. Zhou*, S. Dong, J. Lei, and L. Yu, “MTANet: Multitask-Aware Network with Hierarchical Multimodal Fusion for RGB-T Urban Scene Understanding,” IEEE Transactions on Intelligent Vehicles , doi: 10.1109/TIV.2022.3164899. (SCI, ESI Highly Cited Paper) [IEEE Xplore]

S. Dong, W. Zhou*, C. Xu, and W. Yan, "EGFNet: Edge-Aware Guidance Fusion Network for RGB–Thermal Urban Scene Parsing," IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2023.3306368. (SCI) [IEEE Xplore]

W. Zhou*, Y. Lv, J. Lei, and L. Yu, "Embedded Control Gate Fusion and Attention Residual Learning for RGB–Thermal Urban Scene Parsing," IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2023.3242651. (SCI) [IEEE Xplore]

W. Zhou*, S. Dong, M. Fang, and L. Yu, "CACFNet: Cross-Modal Attention Cascaded Fusion Network for RGB-T Urban Scene Parsing," IEEE Transactions on Intelligent Vehicles, doi: 10.1109/TIV.2023.3314527. (SCI) [IEEE Xplore]

W. Zhou*, T. Gong, J. Lei and L. Yu, “DBCNet: Dynamic Bilateral Cross-Fusion Network for RGB-T Urban Scene Understanding in Intelligent Vehicles,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi: 10.1109/TSMC.2023.3298921. (SCI, ESI Highly Cited Paper) [IEEE Xplore]

RGB–D Semantic Segmentation

W. Zhou*, Y. Cai, L. Zhang, W. Yan, and L. Yu, "UTLNet: Uncertainty-aware Transformer Localization Network for RGB-Depth Mirror Segmentation,” IEEE Transactions on Multimedia, doi: 10.1109/TMM.2023.3323890. (SCI) [IEEE Xplore]

W. Zhou*, Y. Xiao, W. Yan, and L. Yu, "CMPFFNet: Cross-Modal and Progressive Feature Fusion Network for RGB-D Indoor Scene Semantic Segmentation,” IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2023.3313122. (SCI) [IEEE Xplore]

W. Zhou*, E. Yang, J. Lei, J. Wan, and L. Yu , "PGDENet: Progressive Guided Fusion and Depth Enhancement Network for RGB-D Indoor Scene Parsing,” IEEE Transactions on Multimedia, doi: 10.1109/TMM.2022.3161852. (SCI) [IEEE Xplore]

W. Zhou*, E. Yang, J. Lei, L. Yu, "FRNet: Feature Reconstruction Network for RGB-D Indoor Scene Parsing,” IEEE Journal of Selected Topics in Signal Processing, doi: 10.1109/JSTSP.2022.3174338. (SCI, ESI Hot Paper, ESI Highly Cited Paper) [IEEE Xplore] [Code & Results]

W. Zhou*, J. Lei, T. Luo, “TSNet: Three-stream Self-attention Network for RGB-D Indoor Semantic Segmentation,” IEEE Intelligent Systems, vol. 36, no. 4, pp. 73-78, 2021. doi: 10.1109/MIS.2020.2999462. (SCI, Popular Documents, ESI Highly Cited Paper) [IEEE Xplore]

W. Zhou*, S. Lv, J. Lei, and L. Yu, "RFNet: Reverse Fusion Network with Attention Mechanism for RGB-D Indoor Scene Understanding," IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2022.2160720. (SCI) [IEEE Xplore]

W. Zhou*, G. Xu, F. Qiang, and L. Yu, "ACENet: Auxiliary Context-Information Enhancement Network for RGB-D Indoor Scene Semantic Segmentation," IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2023.3303930. (SCI) [IEEE Xplore]

W. Zhou*, Y. Yue, M. Fang, X. Qian, R. Yang, and L. Yu, "BCINet: Bilateral cross-modal interaction network for indoor scene understanding in RGB-D images," Information Fusion , doi: 10.1016/j.inffus.2023.01.016. (SCI, ESI Hot Paper, ESI Highly Cited Paper) [Science Direct]

Remote Sensing Images

W. Zhou*, X. Fan, W. Yan, S. Shan, Q. Jiang, and J.-N. Hwang, "Graph Attention Guidance Network With Knowledge Distillation for Semantic Segmentation of Remote Sensing Images," IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2023.3311480. (SCI) [IEEE Xplore] [Code & Results]

W. Zhou*, J. Jin, J. Lei, and J.-N. Hwang, "CEGFNet: Common Extraction and Gate Fusion Network for Scene Parsing of Remote Sensing Images," IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.3109626. (SCI) [IEEE Xplore] [Code & Results]

W. Zhou*, J. Jin, J. Lei, L. Yu, "CIMFNet: Cross-layer Interaction and Multiscale Fusion Network for Semantic Segmentation of High-Resolution Remote Sensing Images,” IEEE Journal of Selected Topics in Signal Processing, doi: 10.1109/JSTSP.2022.3159032. (SCI, ESI Highly Cited Paper) [IEEE Xplore]

W. Zhou*, X. Fan, L. Yu and J. Lei,"MISNet: Multiscale Cross-layer Interactive and Similarity Refinement Network for Scene Parsing of Aerial Images," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , doi: 10.1109/JSTARS.2023.3243247. (SCI, ESI Hot Paper) [IEEE Xplore]

X. Fan, W. Zhou*, X. Qian, and W. Yan, "Progressive Adjacent-Layer coordination symmetric cascade network for semantic segmentation of Multimodal remote sensing images," Expert Systems with Applications , doi: 10.1016/j.eswa.2023.121999. (SCI) [Science Direct]

Surface Defect Inspection

W. Zhou, K. Hong, W. Yan, and Q. Jiang, "Modal Evaluation Network via Knowledge Distillation for No-Service Rail Surface Defect Detection," IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2023.3325229. (SCI) [IEEE Xplore] [Code & Results]

W. Zhou*, and K. Hong, "FHENet: Lightweight Feature Hierarchical Exploration Network for Real-Time Rail Surface Defect Inspection in RGB-D Images," IEEE Transactions on Instrumentation and Measurement, doi: 10.1109/TIM.2023.3237830. (SCI, ESI Hot Paper, ESI Highly Cited Paper) [IEEE Xplore] [Code & Results]

B. Wang, W. Zhou*, W. Yan, Q. Jiang, and R. Cong, "PENet-KD: Progressive Enhancement Network via Knowledge Distillation for Rail Surface Defect Detection," IEEE Transactions on Instrumentation and Measurement, doi: 10.1109/TIM.2023.33330222. (SCI) [IEEE Xplore] [Code & Results]

Crowd Counting

W. Zhou*, Y. Pan, L. Ye, and L. Yu, "DEFNet: Dual-Branch Enhanced Feature Fusion Network for RGB-T Crowd Counting," IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2022.3203385. (SCI) [IEEE Xplore] [Code & Results]

W. Zhou*, X. Yang, J. Lei, W. Yan, and L. Yu, "MC 3 Net: Multimodality Cross-Guided Compensation Coordination Network for RGB-T Crowd Counting," IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2023.3321328. (SCI) [IEEE Xplore] [Code & Results]

Image Quality Assessment

W. Zhou*, L. Yu, Y. Zhou, W. Qiu, M. Wu and T. Luo, “Local and Global Feature Learning for Blind Quality Evaluation of Screen Content and Natural Scene Images,” IEEE Transactions on Image Processing, vol. 27, no. 5, pp. 2086-2095, May 2018, doi: 10.1109/TIP.2018.2794207. (SCI, CCF A类) [IEEE Xplore]

W. Zhou* and L. Yu, “Binocular Responses for No-Reference 3D Image Quality Assessment,” IEEE Transactions on Multimedia, vol. 18, no. 6, pp. 1077-1084, June 2016, doi: 10.1109/TMM.2016.2542580. (SCI) [IEEE Xplore]

W. Zhou*, W. Qiu and M. Wu, “Utilizing Dictionary Learning and Machine Learning for Blind Quality Assessment of 3-D Images,” IEEE Transactions on Broadcasting, vol. 63, no. 2, pp. 404-415, June 2017, doi: 10.1109/TBC.2016.2638620. (SCI) [IEEE Xplore]

W. Zhou*, J. Lei, Q. Jiang, L. Yu and T. Luo, “Blind Binocular Visual Quality Predictor Using Deep Fusion Network,” IEEE Transactions on Computational Imaging, vol. 6, pp. 883-893, 2020, doi: 10.1109/TCI.2020.2993640. (SCI) [IEEE Xplore]

W. Zhou*, L. Yu, Y. Zhou, W. Qiu, M.-W. Wu, T. Luo, “Blind quality estimator for 3D images based on binocular combination and extreme learning machine,” Pattern Recognition, vol. 71, pp. 207–217, Nov. 2017. (SCI)