| Picanet: Learning pixel-wise contextual attention for saliency detection N Liu, J Han, MH Yang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1002 | 2018 |
| Dhsnet: Deep hierarchical saliency network for salient object detection N Liu, J Han Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 976 | 2016 |
| Advanced deep-learning techniques for salient and category-specific object detection: a survey J Han, D Zhang, G Cheng, N Liu, D Xu IEEE Signal Processing Magazine 35 (1), 84-100, 2018 | 699 | 2018 |
| Visual saliency transformer N Liu, N Zhang, K Wan, L Shao, J Han Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 514 | 2021 |
| Online multi-object tracking with dual matching attention networks J Zhu, H Yang, N Liu, M Kim, W Zhang, MH Yang Proceedings of the European conference on computer vision (ECCV), 366-382, 2018 | 444 | 2018 |
| CNNs-based RGB-D saliency detection via cross-view transfer and multiview fusion J Han, H Chen, N Liu, C Yan, X Li IEEE transactions on cybernetics 48 (11), 3171-3183, 2017 | 431 | 2017 |
| Learning selective self-mutual attention for RGB-D saliency detection N Liu, N Zhang, J Han Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 342 | 2020 |
| Salient object detection via integrity learning M Zhuge, DP Fan, N Liu, D Zhang, D Xu, L Shao IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 3738-3752, 2022 | 340 | 2022 |
| Predicting eye fixations using convolutional neural networks N Liu, J Han, D Zhang, S Wen, T Liu Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 319 | 2015 |
| A deep spatial contextual long-term recurrent convolutional network for saliency detection N Liu, J Han IEEE Transactions on Image Processing 27 (7), 3264-3274, 2018 | 255 | 2018 |
| Context-aware cross-level fusion network for camouflaged object detection Y Sun, G Chen, T Zhou, Y Zhang, N Liu arXiv preprint arXiv:2105.12555, 2021 | 239 | 2021 |
| Learning non-target knowledge for few-shot semantic segmentation Y Liu, N Liu, Q Cao, X Yao, J Han, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 132 | 2022 |
| PiCANet: Pixel-wise contextual attention learning for accurate saliency detection N Liu, J Han, MH Yang IEEE Transactions on Image Processing 29, 6438-6451, 2020 | 122 | 2020 |
| Learning to predict eye fixations via multiresolution convolutional neural networks N Liu, J Han, T Liu, X Li IEEE transactions on neural networks and learning systems 29 (2), 392-404, 2016 | 120 | 2016 |
| Learning selective mutual attention and contrast for RGB-D saliency detection N Liu, N Zhang, L Shao, J Han IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9026 …, 2021 | 114 | 2021 |
| Weakly supervised video salient object detection W Zhao, J Zhang, L Li, N Barnes, N Liu, J Han Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 90 | 2021 |
| Scribble-supervised video object segmentation P Huang, J Han, N Liu, J Ren, D Zhang IEEE/CAA Journal of Automatica Sinica 9 (2), 339-353, 2021 | 83 | 2021 |
| Intermediate prototype mining transformer for few-shot semantic segmentation Y Liu, N Liu, X Yao, J Han Advances in Neural Information Processing Systems 35, 38020-38031, 2022 | 79 | 2022 |
| Attentive linear transformation for image captioning S Ye, J Han, N Liu IEEE Transactions on Image Processing 27 (11), 5514-5524, 2018 | 79 | 2018 |
| Summarize and search: Learning consensus-aware dynamic convolution for co-saliency detection N Zhang, J Han, N Liu, L Shao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 66 | 2021 |
Junwei Han, IEEE Fellow, IAPR FellowProfessor, Northwestern Polytechnical University確認したメール アドレス: nwpu.edu.cn