| Depth-induced multi-scale recurrent attention network for saliency detection Y Piao, W Ji, J Li, M Zhang, H Lu Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 454 | 2019 |
| A2dele: Adaptive and attentive depth distiller for efficient RGB-D salient object detection Y Piao, Z Rong, M Zhang, W Ren, H Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 248 | 2020 |
| Select, supplement and focus for RGB-D saliency detection M Zhang, W Ren, Y Piao, Z Rong, H Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 241 | 2020 |
| Calibrated RGB-D salient object detection W Ji, J Li, S Yu, M Zhang, Y Piao, S Yao, Q Bi, K Ma, Y Zheng, H Lu, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 232 | 2021 |
| Accurate RGB-D salient object detection via collaborative learning W Ji, J Li, M Zhang, Y Piao, H Lu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 204 | 2020 |
| RGB-D salient object detection with cross-modality modulation and selection C Li, R Cong, Y Piao, Q Xu, CC Loy Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 151 | 2020 |
| Asymmetric two-stream architecture for accurate RGB-D saliency detection M Zhang, SX Fei, J Liu, S Xu, Y Piao, H Lu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 121 | 2020 |
| Deep learning for light field saliency detection T Wang, Y Piao, X Li, L Zhang, H Lu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 113 | 2019 |
| Memory-oriented decoder for light field salient object detection M Zhang, J Li, J Wei, Y Piao, H Lu Advances in neural information processing systems 32, 2019 | 107 | 2019 |
| LFNet: Light field fusion network for salient object detection M Zhang, W Ji, Y Piao, J Li, Y Zhang, S Xu, H Lu IEEE Transactions on Image Processing 29, 6276-6287, 2020 | 101 | 2020 |
| Dynamic context-sensitive filtering network for video salient object detection M Zhang, J Liu, Y Wang, Y Piao, S Yao, W Ji, J Li, H Lu, Z Luo Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 100 | 2021 |
| Auto-msfnet: Search multi-scale fusion network for salient object detection M Zhang, T Liu, Y Piao, S Yao, H Lu Proceedings of the 29th ACM international conference on multimedia, 667-676, 2021 | 87 | 2021 |
| Deep Light-field-driven Saliency Detection from a Single View. Y Piao, Z Rong, M Zhang, X Li, H Lu IJCAI, 904-911, 2019 | 65 | 2019 |
| Robust image encryption by combined use of integral imaging and pixel scrambling techniques YR Piao, DH Shin, ES Kim Optics and Lasers in Engineering 47 (11), 1273-1281, 2009 | 64 | 2009 |
| CDFNet: Criss-Cross Dynamic Filter Network for RGB-D Salient Object Detection M Zhang, S Yao, B Hu, Y Piao, W Ji IEEE Transactions on Multimedia 25, 5142-5154, 2022 | 62 | 2022 |
| Exploit and replace: An asymmetrical two-stream architecture for versatile light field saliency detection Y Piao, Z Rong, M Zhang, H Lu Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11865 …, 2020 | 61 | 2020 |
| MFNet: Multi-filter directive network for weakly supervised salient object detection Y Piao, J Wang, M Zhang, H Lu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 58 | 2021 |
| Saliency detection via depth-induced cellular automata on light field Y Piao, X Li, M Zhang, J Yu, H Lu IEEE Transactions on Image Processing 29, 1879-1889, 2019 | 52 | 2019 |
| Feature reintegration over differential treatment: A top-down and adaptive fusion network for RGB-D salient object detection M Zhang, Y Zhang, Y Piao, B Hu, H Lu Proceedings of the 28th ACM international conference on multimedia, 4107-4115, 2020 | 50 | 2020 |
| DMRA: Depth-induced multi-scale recurrent attention network for RGB-D saliency detection W Ji, G Yan, J Li, Y Piao, S Yao, M Zhang, L Cheng, H Lu IEEE Transactions on Image Processing 31, 2321-2336, 2022 | 48 | 2022 |
Miao ZhangDalian University of Technology在 dlut.edu.cn 的电子邮件经过验证
