| Wider or deeper: Revisiting the resnet model for visual recognition Z Wu, C Shen, A Van Den Hengel Pattern recognition 90, 119-133, 2019 | 1724 | 2019 |
| A comprehensive study on cross-view gait based human identification with deep cnns Z Wu, Y Huang, L Wang, X Wang, T Tan IEEE transactions on pattern analysis and machine intelligence 39 (2), 209-226, 2016 | 777 | 2016 |
| Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs JI Orlando, H Fu, JB Breda, K Van Keer, DR Bathula, A Diaz-Pinto, ... Medical image analysis 59, 101570, 2020 | 619 | 2020 |
| Estimating depth from monocular images as classification using deep fully convolutional residual networks Y Cao, Z Wu, C Shen IEEE Transactions on Circuits and Systems for Video Technology 28 (11), 3174 …, 2017 | 471 | 2017 |
| Feature coding in image classification: A comprehensive study Y Huang, Z Wu, L Wang, T Tan IEEE transactions on pattern analysis and machine intelligence 36 (3), 493-506, 2013 | 306 | 2013 |
| Bridging category-level and instance-level semantic image segmentation Z Wu, C Shen, A Hengel arXiv preprint arXiv:1605.06885, 2016 | 189 | 2016 |
| High-performance semantic segmentation using very deep fully convolutional networks Z Wu, C Shen, A Hengel arXiv preprint arXiv:1604.04339, 2016 | 136 | 2016 |
| Learning representative deep features for image set analysis Z Wu, Y Huang, L Wang IEEE Transactions on Multimedia 17 (11), 1960-1968, 2015 | 113 | 2015 |
| Coarse-to-fine domain adaptive semantic segmentation with photometric alignment and category-center regularization H Ma, X Lin, Z Wu, Y Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 86 | 2021 |
| Real-time semantic image segmentation via spatial sparsity Z Wu, C Shen, A Hengel arXiv preprint arXiv:1712.00213, 2017 | 81 | 2017 |
| Early hierarchical contexts learned by convolutional networks for image segmentation Z Wu, Y Huang, Y Yu, L Wang, T Tan 2014 22nd International Conference on Pattern Recognition, 1538-1543, 2014 | 53 | 2014 |
| Group encoding of local features in image classification Z Wu, Y Huang, L Wang, T Tan Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 48 | 2012 |
| Multiple spatial pooling for visual object recognition Y Huang, Z Wu, L Wang, C Song Neurocomputing 129, 225-231, 2014 | 17 | 2014 |
| CT imaging features of different clinical types of COVID-19 calculated by AI system: a Chinese multicenter study X Hu, W Zeng, Y Zhang, Z Zhen, Y Zheng, L Cheng, X Wang, H Luo, ... Journal of Thoracic Disease 12 (10), 5336, 2020 | 13* | 2020 |
| Data decomposition and spatial mixture modeling for part based model J Zhang, Y Huang, K Huang, Z Wu, T Tan Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013 | 8 | 2013 |
| Spatial graph for image classification Z Wu, Y Huang, L Wang, T Tan Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013 | 7 | 2013 |
| Global and local multi-modal feature mutual learning for retinal vessel segmentation X Zhao, J Zhang, Q Li, T Zhao, Y Li, Z Wu Pattern Recognition 151, 110376, 2024 | 1 | 2024 |
| Pulmonary Segments Segmentation with Hierarchical Weak Labels Y Bai, X Wang, Z Zhou, Z Wu, Q Feng, J Qi 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 1 | 2023 |
| A Robust Agatston Score for Coronary Artery Calcium Scoring from Non-ECG-Gated CT with Different Reconstruction Kernels S Zhang, X Su, Q Feng, Z Wu, Z Xu 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | | 2023 |
| Contextual pooling in image classification Z Wu, Y Huang, L Wang, T Tan Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013 | | 2013 |
Yongzhen HuangSchool of Artificial Intelligence, Beijing Normal UniversityVerified email at bnu.edu.cn
