| JL-DCF: Joint learning and densely-cooperative fusion framework for RGB-D salient object detection K Fu, DP Fan, GP Ji, Q Zhao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 375 | 2020 |
| Siamese network for RGB-D salient object detection and beyond K Fu, DP Fan, GP Ji, Q Zhao, J Shen, C Zhu IEEE transactions on pattern analysis and machine intelligence 44 (9), 5541-5559, 2021 | 253 | 2021 |
| Saliency propagation from simple to difficult C Gong, D Tao, W Liu, SJ Maybank, M Fang, K Fu, J Yang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 179 | 2015 |
| Fast camouflaged object detection via edge-based reversible re-calibration network GP Ji, L Zhu, M Zhuge, K Fu Pattern Recognition 123, 108414, 2022 | 175 | 2022 |
| RGB-D salient object detection via 3D convolutional neural networks Q Chen, Z Liu, Y Zhang, K Fu, Q Zhao, H Du Proceedings of the AAAI conference on artificial intelligence 35 (2), 1063-1071, 2021 | 174 | 2021 |
| Full-duplex strategy for video object segmentation GP Ji, K Fu, Z Wu, DP Fan, J Shen, L Shao Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 166 | 2021 |
| Depth quality-inspired feature manipulation for efficient RGB-D salient object detection W Zhang, GP Ji, Z Wang, K Fu, Q Zhao Proceedings of the 29th ACM international conference on multimedia, 731-740, 2021 | 138 | 2021 |
| Deformed graph Laplacian for semisupervised learning C Gong, T Liu, D Tao, K Fu, E Tu, J Yang IEEE transactions on neural networks and learning systems 26 (10), 2261-2274, 2015 | 137 | 2015 |
| Efficient saliency-model-guided visual co-saliency detection Y Li, K Fu, Z Liu, J Yang IEEE Signal Processing Letters 22 (5), 588-592, 2014 | 121 | 2014 |
| Deepside: A general deep framework for salient object detection K Fu, Q Zhao, IYH Gu, J Yang Neurocomputing 356, 69-82, 2019 | 109 | 2019 |
| BTS-Net: Bi-directional transfer-and-selection network for RGB-D salient object detection W Zhang, Y Jiang, K Fu, Q Zhao 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 94 | 2021 |
| Light field salient object detection: A review and benchmark K Fu, Y Jiang, GP Ji, T Zhou, Q Zhao, DP Fan Computational Visual Media 8 (4), 509-534, 2022 | 88 | 2022 |
| Fick’s law assisted propagation for semisupervised learning C Gong, D Tao, K Fu, J Yang IEEE transactions on neural networks and learning systems 26 (9), 2148-2162, 2014 | 67 | 2014 |
| EF-Net: A novel enhancement and fusion network for RGB-D saliency detection Q Chen, K Fu, Z Liu, G Chen, H Du, B Qiu, L Shao Pattern Recognition 112, 107740, 2021 | 66 | 2021 |
| Refinet: A deep segmentation assisted refinement network for salient object detection K Fu, Q Zhao, IYH Gu IEEE Transactions on Multimedia 21 (2), 457-469, 2018 | 65 | 2018 |
| Small target detection based on accumulated center-surround difference measure K Xie, K Fu, T Zhou, J Zhang, J Yang, Q Wu Infrared physics & technology 67, 229-236, 2014 | 60 | 2014 |
| Normalized cut-based saliency detection by adaptive multi-level region merging K Fu, C Gong, IYH Gu, J Yang IEEE Transactions on Image Processing 24 (12), 5671-5683, 2015 | 58 | 2015 |
| 3-D convolutional neural networks for RGB-D salient object detection and beyond Q Chen, Z Zhang, Y Lu, K Fu, Q Zhao IEEE Transactions on Neural Networks and Learning Systems 35 (3), 4309-4323, 2022 | 54 | 2022 |
| Superpixel based color contrast and color distribution driven salient object detection K Fu, C Gong, J Yang, Y Zhou, IYH Gu Signal Processing: Image Communication 28 (10), 1448-1463, 2013 | 52 | 2013 |
| SAL: Selection and attention losses for weakly supervised semantic segmentation L Zhou, C Gong, Z Liu, K Fu IEEE Transactions on Multimedia 23, 1035-1048, 2020 | 51 | 2020 |
Jie YangShanghai Jiao Tong UniversityVerificeret mail på sjtu.edu.cn
