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Downloads UVSD dataset
2023
| Context-Aware Interaction Network for RGB-T Semantic Segmentation, in IEEE Transactions on Multimedia, Ying Lv and Zhi Liu and Gongyang Li, doi: 10.1109/TMM.2023.3349072.  [Paper]
 [Code&Data]
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| Global semantic-guided network for saliency prediction, in Knowledge-Based Systems, Jiawei Xie and Zhi Liu and Gongyang Li and Xiaofeng Lu and Tao Chen, doi: 10.1016/j.knosys.2023.111279 [Paper] [Code&Data] |
| RINet: Relative Importance-Aware Network for Fixation Prediction, in IEEE Transactions on Multimedia, Yingjie Song and Zhi Liu and Gongyang Li and Dan Zeng and Tianhong Zhang and Lihua Xu and Jijun Wang, doi: 10.1109/TMM.2023.3249481. [Paper] [Code&Data]
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| SGFNet: Semantic-Guided Fusion Network for RGB-Thermal Semantic Segmentation,in IEEE Transactions on Circuits and Systems for Video Technology, Yike Wang and Gongyang Li and Zhi Liu, doi:10.1109/TCSVT.2023.3281419. [Paper] [Code&Data] |
| Global–local–global context-aware network for salient object detection in optical remote sensing images,in ISPRS Journal of Photogrammetry and Remote Sensing, Zhen Bai and Gongyang Li and Zhi Liu, doi:10.1016/j.isprsjprs.2023.03.013. [Paper] |
| Lightweight Distortion-aware Network for Salient Object Detection in Omnidirectional Images,in IEEE Transactions on Circuits and Systems for Video Technology,Huang, Mengke and Li, Gongyang and Liu, Zhi and Zhu, Linchao, doi:10.1109/TCSVT.2023.3253685. [Paper] |
2022 
| Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images, in IEEE Transactions on Cybernetics, G. Li, Z. Liu, D. Zeng, W. Lin and H. Ling, doi: 10.1109/TCYB.2022.3162945. [Paper] [Code&Data] |
| 陈朝,刘志,李恭杨,彭铁根.适于少样本缺陷检测的两阶段缺陷增强网络[J/OL].计算机工程与应用:1-11[2022-06-25]. [Paper] [Code&Data] |
| Few-shot personalized saliency prediction using meta-learning Xinhui Luo, Zhi Liu, Weijie Wei, Linwei Ye, Tianhong Zhang, Lihua Xu, Jijun Wang, "Few-shot personalized saliency prediction using meta-learning," in Image and Vision Computing, vol. 124, pp. 104491, 2022. [Paper] [Code&Data] |
| Two-Stage Edge Reuse Network for Salient Object Detection of Strip Steel Surface Defects,in IEEE Transactions on Instrumentation and Measurement, Chengjun Han, Gongyang Li and Zhi Liu, doi:10.1109/TIM.2022.3200114. [Paper] [Code&Data] |
| Cross-Scale Edge Purification Network for salient object detection of steel defect images, Tuo Ding, Gongyang Li, Zhi Liu, Yike Wang, "Cross-Scale Edge Purification Network for salient object detection of steel defect images," in Measurement, vol. 199, pp. 111429, 2022. [Paper] [Code&Data] |
| Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation, G. Li, Z. Liu, Z. Bai, W. Lin and H. Ling, in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022, Art no. 5617712, doi: 10.1109/TGRS.2022.3145483. [Paper] [Code&Data] |
2021 
| Spatio-Temporal Self-Attention Network for Video Saliency Prediction Z. Wang et al., "Spatio-Temporal Self-Attention Network for Video Saliency Prediction," in IEEE Transactions on Multimedia, doi: 10.1109/TMM.2021.3139743. [Paper] [Code&Data] |
| Multi-Content Complementation Network for Salient Object Detection in Optical Remote Sensing Images G. Li, Z. Liu, W. Lin and H. Ling, "Multi-Content Complementation Network for Salient Object Detection in Optical Remote Sensing Images," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.3131221. [Paper] [Code&Data] |
| Adaptive Group-wise Consistency Network for Co-saliency Detection Z. Bai, Z. Liu, G. Li and Y. Wang, "Adaptive Group-wise Consistency Network for Co-saliency Detection," in IEEE Transactions on Multimedia, doi: 10.1109/TMM.2021.3138246. [Paper] [Code&Data] |
| Personal Fixations-Based Object Segmentation with Object Localization and Boundary Preservation G. Li, Z. Liu, R. Shi, Z. Hu, W. Wei, Y. Wu, M. Huang, and H. Ling, in IEEE Transactions on Image Processing, vol. 30, pp. 1461-1475, Jan. 2021 [Paper]  [Code&Data]
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| Hierarchical Alternate Interaction Network for RGB-D Salient Object Detection G. Li, Z. Liu, M. Chen, Z. Bai, W. Wei, W. Lin, and H. Ling, in IEEE Transactions on Image Processing, vol. 30, pp. 3528-3542, Mar. 2021. [Paper] [Code&Data] |
| Identify autism spectrum disorder via dynamic filter and deep spatiotemporal feature extraction W. Wei, Z. Liu, L. Huang, Z. Wang, W. Chen, T. Zhang, J. Wang, and L. Xu Signal Processing: Image Communication, vol. 95, pp. 116195, May. 2021. [Paper] [Code&Data] |
| SalED: Saliency prediction with a pithy encoder-decoder architecture sensing local and global information Z. Wang, Z. Liu, W. Wei, and H. Duan. Image and Vision Computing, vol. 109, pp. 104149, May. 2021. [Paper] [Code&Data] |
2020 
| Weakly supervised instance segmentation using multi-stage erasing refinement and saliency-guided proposals ordering Z. Hu, Z. Liu, G. Li, L. Ye, L. Zhou and Y. Wang, Journal of Visual Communication and Image Representation, doi.org/10.1016/j.jvcir.2020.102957, 2020. [Paper] [Code&Data] |
| FANet: Features Adaptation Network for 360° Omnidirectional Salient Object Detection M. Huang, Z. Liu, G. Li, X. Zhou and O. Le Meur, IEEE Signal Processing Letters, vol. 27, pp. 1819-1823, Oct.2020. [Paper] [Code&Data] |
| Effective schizophrenia recognition using discriminative eye movement features and model-metric based features L. Huang, W. Wei, Z. Liu*, T. Zhang, J. Wang, L. Xu, W. Chen and O. Le Meur, Pattern recognition letters, 2020, pp.608-616. [Paper]  [Code&Data]
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| Predicting atypical visual saliency for autism spectrum disorder via scale-adaptive inception module and discriminative region enhancement loss W. Wei, Z. Liu, L. Huang, A. Nebout, O. Le Meur, T. Zhang, J. Wang, and L. Xu, Neurocomputing, doi.org/10.1016/j.neucom.2020.06.125. [Paper]  [Code&Data]
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| Cross-Modal Weighting Network for RGB-D Salient Object Detection G. Li, Z. Liu, L. Ye,Y. Wang and H. Ling, European Conference on Computer Vision (ECCV), 2020. [Paper] [Code&Data] |
| ICNet: Information Conversion Network for RGB-D Based Salient Object Detection G. Li, Z. Liu, and H. Ling, IEEE Transactions on Image Processing, doi: 10.1109/TIP.2020.2976689, 2020. [Paper] [Code&Data] |
| Attentional coarse-and-fine generative adversarial networks for image inpainting M. Chen, Z. Liu, L. Ye and Y. Wang, in: Neurocomputing Volume 405, 10 September 2020, Pages 259-269, [Paper] [Code&Data] |
| Co-saliency detection using collaborative feature extraction and high-to-low feature integration J. Ren, Z. Liu, G. Li, X. Zhou, C. Bai, and G. Sun, International Conference on Multimedia and Expo (ICME), London, United Kingdom, Jul. 2020.[提取码：180w] [Paper] [Code&Data] |
| Fine-grained image classification with coarse and fine labels on one-shot learning Q. Jiao, Z. Liu, G. Li, L, Ye and Y. Wang, International Conference on Multimedia and Expo Workshop(ICMEW), London, United Kingdom, Jul. 2020.[提取码：mkY7] [Paper]  [Code&Data]
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| Saliency detection using adversarial learning networks Y. Wu, Z. Liu, and X. Zhou, Journal of Visual Communication and Image Representation, doi.org/10.1016/j.jvcir.2020.102761, 2020. [Paper] [Code&Data] |
2019 
| Cross-Modal Self-Attention Network for Referring Image Segmentation L. Ye, M. Rochan, Z. Liu and Y. Wang, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2019, pp.10502-10511, [Paper] [Code&Data] |
| Co-saliency detection via integration of multi-layer convolutional features and inter-image propagation J. Ren, Z. Liu, X. Zhou, C. Bai and G. Sun, Neurocomputing, doi.org/10.1016/j.neucom.2019.09.010. [Paper] [Code&Data] |
| Constrained Fixation Point based Segmentation via Deep Neural Network G. Li, Z. Liu, R. Shi, and W. Wei, Neurocomputing, vol. 368, pp. 180-187, Nov. 2019. [Paper] [Code&Data] |
| Saliency Prediction via Multi-Level Features and Deep Supervision for Children with Autism Spectrum Disorder W. Wei, Z. Liu, L. Huang, A. Nebout, and O. Le Meur, IEEE International Conference Multimedia Expo Grand Challenge, 2019, pp.621–624. [Paper] [Code&Data] |
| Saliency detection via multi-level integration and multi-scale fusion neural networks M. Huang, Z. Liu, L. Ye, X. Zhou and Y. Wang, Neurocomputing, vol. 364, pp. 310-321, Oct. 2019. [Paper] [Code&Data] |
| Weakly labeled fine-grained classification with hierarchy relationship of fine and coarse labels Q. Jiao, Z. Liu, L. Ye and Y. Wang, Journal of Visual Communication and Image Representation, vol. 63, Aug. 2019. [Paper] [Code&Data] |
| Depth-aware saliency detection using convolutional neural networks Y. Ding, Z. Liu, M. Huang, R Shi, and X. Wang, Journal of Visual Communication and Image Representation, vol.61, pp.1-9, May. 2019. [Paper] [Code&Data] |
| Effective Online Refinement for Video Object Segmentation G. Li, Z. Liu, and X. Zhou, Multimedia Tools and Applications, doi: 10.1007/s11042-019-08146-3, Sept. 2019. [Paper] [Code&Data] |
| Saliency-aware inter-image color transfer for image manipulation X. Liu, Z. Liu, and Q. Jiao, O. L. Meur and W.-L. Zhao, Multimedia Tools and Applications, vol.78, pp.21629-21644, Aug. 2019. [Paper] [Code&Data] |
| SALIENCY-GUIDED IMAGE STYLE TRANSFER X. Liu, Z. Liu, X. Zhou and M. Chen, ICMEWorkshop, July. 2019. [Paper] [Code&Data] |
2018 
| Improving video saliency detection via localized estimation and spatiotemporal refinement X. Zhou, Z. Liu, C. Gong and W. Liu, IEEE Transactions on Multimedia, 2018, doi: 10.1109/TMM.2018.2829605. [Paper] [Code&Data] |
| RGBD co-saliency detection via multiple kernel boosting and fusion L. Wu, Z. Liu, H. Song, and O. Le Meur, Multimedia Tools and Applications, doi: 10.1007/s11042-017-5576-y, Jan. 2018. [Paper] [Code&Data] |
| Unsupervised image co-segmentation via guidance of simple images L. Li, Z. Liu, and J. Zhang, Neurocomputing, vol. 275, pp. 1650-1661, Jan. 2018. [Paper] [Code&Data] |
| Video saliency detection via bagging-based prediction and spatiotemporal propagation X. Zhou, Z. Liu, K. Li, and G. Sun, Journal of Visual Communication and Image Representation, vol. 51, pp. 131-143, 2018. [Paper] [Code&Data] |
| Saliency integration driven by similar images J. Ren, Z. Liu, X. Zhou, G. Sun, and C. Bai, Journal of Visual Communication and Image Representation, vol. 50, pp. 227-236, Jan. 2018. [Paper] [Code&Data] |
2017 
| Salient Object Segmentation via Effective Integration of Saliency and Objectness L. Ye, Z. Liu, L. Li, L. Shen, C. Bai, and Y. Wang, IEEE Transactions on Multimedia, doi: 10.1109/TMM.2017.2693022, Apr. 2017. [Paper] [Code&Data] |
| Depth-aware salient object detection and segmentation via multiscale discriminative saliency fusion and bootstrap learning H. Song, Z. Liu, H. Du, G. Sun, O. Le Meur, and T. Ren, IEEE Transactions on Image Processing, vol. 26, no. 9, pp. 4204-4216, Sept. 2017. [Paper] [Code&Data] |
2016 
| RGBD co-saliency detection via bagging-based clustering H. Song, Z. Liu, Y. Xie, L. Wu, and M. Huang, IEEE Signal Processing Letters, vol. 23, no. 12, pp. 1722-1726, Dec. 2016 [Paper] [Code&Data] |
| Saliency detection for unconstrained videos using superpixel-level graph and spatiotemporal propagation Z. Liu, J. Li, L. Ye, G. Sun, and L. Shen, IEEE Transactions on Circuits and Systems for Video Technology, doi.: 10.1109/TCSVT.2016.2595324, Jul. 2016 [Paper] [Code&Data] |
| Saliency Detection Via Similar Image Retrieval L. Ye, Z. Liu, X. Zhou, L. Shen and J. Zhang, IEEE Signal Processing Letters, vol. 23, no. 6, pp. 838-842, Jun. 2016. [Paper] [Code&Data] |
| Improving Saliency Detection via Multiple Kernel Boosting and Adaptive Fusion X. Zhou,Z. Liu, G. Sun, L. Ye and X. Wang, Signal Processing Letters, IEEE, vol. 23, no. 4, pp. 517-521, April 2016. [Paper] [MATLAB Code] |
2015 
| Co-saliency Detection via Co-salient Object Discovery and Recovery L. Ye, Z. Liu, J. Li and L. Shen, Signal Processing Letters, IEEE, vol. 22, no. 11, pp. 2073-2077, Nov 2015. [Paper] [MATLAB Code] |
| Spatiotemporal saliency detection based on superpixel-level trajectory J. Li, Z. Liu, X. Zhang, O. Le Meur, and L. Shen, Signal Processing: Image Communication, doi.: 10.1016/j.image.2015.04.014, Apr. 2015. [Paper] [Results] |
2014 
| Adaptive Inter-Mode Decision for HEVC Jointly Utilizing Inter-Level and Spatiotemporal Correlations L. Shen, Z. Zhang, Z. Liu, IEEE Transactions on Circuits and Systems for Video Technology, vol.24, no.10, pp.1709-1722, Oct. 2014. [Paper]  [Code based on HM 16.0]
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| Superpixel-Based Spatiotemporal Saliency Detection Z. Liu, X. Zhang, S. Luoand O. Le Meur, IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 9, pp. 1522-11540, Sept. 2014. [Paper] [MATLAB Code] |
| Saliency tree: A novel saliency detection framework Z. Liu, W. Zou, and O. Le Meur, IEEE Transactions on Image Processing, vol. 23, no. 5, pp. 1937-1952, May 2014. [Paper] [MATLAB Code] |
| Co-Saliency Detection Based on Hierarchical Segmentation Z. Liu, W. Zou, L. Li, L. Shen and O. Le Meur, Signal Processing Letters, IEEE, vol. 21, no. 1, pp. 88-92, Jan 2014. [Paper] [MATLAB Code] |
2013 
| Stretchability-aware block scaling for image retargeting H. Du, Z. Liu, J. Jiang, and L. Shen, Journal of Visual Communication and Image Representation, vol. 24, no. 4, pp. 499-508, May 2013. [Paper] [MATLAB Code] |
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