| Learning affinity from attention: End-to-end weakly-supervised semantic segmentation with transformers L Ru, Y Zhan, B Yu, B Du Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 231 | 2022 |
| Contrastive boundary learning for point cloud segmentation L Tang, Y Zhan, Z Chen, B Yu, D Tao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 172 | 2022 |
| Deep graph-neighbor coherence preserving network for unsupervised cross-modal hashing J Yu, H Zhou, Y Zhan, D Tao Proceedings of the AAAI conference on artificial intelligence 35 (5), 4626-4634, 2021 | 163 | 2021 |
| Token contrast for weakly-supervised semantic segmentation L Ru, H Zheng, Y Zhan, B Du Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 131 | 2023 |
| On exploring undetermined relationships for visual relationship detection Y Zhan, J Yu, T Yu, D Tao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 105 | 2019 |
| Graph pooling for graph neural networks: Progress, challenges, and opportunities C Liu, Y Zhan, J Wu, C Li, B Du, W Hu, T Liu, D Tao arXiv preprint arXiv:2204.07321, 2022 | 101 | 2022 |
| Expression snippet transformer for robust video-based facial expression recognition Y Liu, W Wang, C Feng, H Zhang, Z Chen, Y Zhan Pattern Recognition 138, 109368, 2023 | 77 | 2023 |
| Estimating noise transition matrix with label correlations for noisy multi-label learning S Li, X Xia, H Zhang, Y Zhan, S Ge, T Liu Advances in Neural Information Processing Systems 35, 24184-24198, 2022 | 75 | 2022 |
| No-reference image sharpness assessment based on maximum gradient and variability of gradients Y Zhan, R Zhang IEEE Transactions on Multimedia 20 (7), 1796-1808, 2017 | 74 | 2017 |
| Comprehensive linguistic-visual composition network for image retrieval H Wen, X Song, X Yang, Y Zhan, L Nie Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 70 | 2021 |
| Learning graph neural networks for image style transfer Y Jing, Y Mao, Y Yang, Y Zhan, M Song, X Wang, D Tao European Conference on Computer Vision, 111-128, 2022 | 69 | 2022 |
| Hl-net: Heterophily learning network for scene graph generation X Lin, C Ding, Y Zhan, Z Li, D Tao proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 58 | 2022 |
| An end-to-end supervised domain adaptation framework for cross-domain change detection J Liu, W Xuan, Y Gan, Y Zhan, J Liu, B Du Pattern Recognition 132, 108960, 2022 | 57 | 2022 |
| Contrastive graph poisson networks: Semi-supervised learning with extremely limited labels S Wan, Y Zhan, L Liu, B Yu, S Pan, C Gong Advances in Neural Information Processing Systems 34, 6316-6327, 2021 | 57 | 2021 |
| Ru-net: Regularized unrolling network for scene graph generation X Lin, C Ding, J Zhang, Y Zhan, D Tao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 48 | 2022 |
| Resistance training using prior bias: toward unbiased scene graph generation C Chen, Y Zhan, B Yu, L Liu, Y Luo, B Du Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 212-220, 2022 | 47 | 2022 |
| No-reference JPEG image quality assessment based on blockiness and luminance change Y Zhan, R Zhang IEEE signal processing letters 24 (6), 760-764, 2017 | 47 | 2017 |
| Weakly-supervised semantic segmentation with visual words learning and hybrid pooling L Ru, B Du, Y Zhan, C Wu International Journal of Computer Vision 130 (4), 1127-1144, 2022 | 45 | 2022 |
| Image quality assessment using a SVD-based structural projection A Hu, R Zhang, D Yin, Y Zhan Signal Processing: Image Communication 29 (3), 293-302, 2014 | 45 | 2014 |
| Comprehensive graph gradual pruning for sparse training in graph neural networks C Liu, X Ma, Y Zhan, L Ding, D Tao, B Du, W Hu, DP Mandic IEEE Transactions on Neural Networks and Learning Systems, 2023 | 40 | 2023 |
Baosheng YuAssistant Professor, Nanyang Technological UniversityVerificeret mail på ntu.edu.sg
