| Co-saliency detection via mask-guided fully convolutional networks with multi-scale label smoothing K Zhang, T Li, B Liu, Q Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 29 | 2019 |
| Re-thinking co-salient object detection DP Fan, T Li, Z Lin, GP Ji, D Zhang, MM Cheng, H Fu, J Shen IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 11 | 2021 |
| Adaptive graph convolutional network with attention graph clustering for co-saliency detection K Zhang, T Li, S Shen, B Liu, J Chen, Q Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 10 | 2020 |
| Recurrent reverse attention guided residual learning for saliency object detection T Li, H Song, K Zhang, Q Liu Neurocomputing 389, 170-178, 2020 | 5 | 2020 |
| Low-rank weighted co-saliency detection via efficient manifold ranking T Li, H Song, K Zhang, Q Liu, W Lian Multimedia Tools and Applications 78 (15), 21309-21324, 2019 | 4 | 2019 |
| Learning residual refinement network with semantic context representation for real-time saliency object detection T Li, H Song, K Zhang, Q Liu Pattern Recognition 105, 107372, 2020 | 2 | 2020 |
| Image Co-saliency Detection and Instance Co-segmentation using Attention Graph Clustering based Graph Convolutional Network T Li, K Zhang, S Shen, B Liu, Q Liu, Z Li IEEE Transactions on Multimedia, 2021 | 1 | 2021 |
Kaihua ZhangNanjing University of Information Science and TechnologyVerified email at nuist.edu.cn
