Structured knowledge distillation for semantic segmentation Y Liu, K Chen, C Liu, Z Qin, Z Luo, J Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 746 | 2019 |
Question classification using head words and their hypernyms Z Huang, M Thint, Z Qin Proceedings of the 2008 Conference on empirical methods in natural language …, 2008 | 275 | 2008 |
Emotion classification with data augmentation using generative adversarial networks X Zhu, Y Liu, J Li, T Wan, Z Qin Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 223 | 2018 |
Feature integration analysis of bag-of-features model for image retrieval J Yu, Z Qin, T Wan, X Zhang Neurocomputing 120, 355-364, 2013 | 204 | 2013 |
Multifocus image fusion based on robust principal component analysis T Wan, C Zhu, Z Qin Pattern Recognition Letters 34 (9), 1001-1008, 2013 | 180 | 2013 |
Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks Y Liu, Z Qin, T Wan, Z Luo Neurocomputing 311, 78-87, 2018 | 154 | 2018 |
Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features T Wan, J Cao, J Chen, Z Qin Neurocomputing 229, 34-44, 2017 | 147 | 2017 |
A SIFT-LBP IMAGE RETRIEVAL MODEL BASED ON BAG-OF-FEATURES X Yuan, J Yu, Z Qin, T Wan ICIP, 0 | 131* | |
Decision tree learning with fuzzy labels Z Qin, J Lawry Information Sciences 172 (1-2), 91-129, 2005 | 116 | 2005 |
Data augmentation in emotion classification using generative adversarial networks X Zhu, Y Liu, Z Qin, J Li arXiv preprint arXiv:1711.00648, 2017 | 112 | 2017 |
Auto-painter: Cartoon image generation from sketch by using conditional generative adversarial networks Y Liu, Z Qin, Z Luo, H Wang arXiv preprint arXiv:1705.01908, 2017 | 104 | 2017 |
Reasoning on the relation: Enhancing visual representation for visual question answering and cross-modal retrieval J Yu, W Zhang, Y Lu, Z Qin, Y Hu, J Tan, Q Wu IEEE Transactions on Multimedia 22 (12), 3196-3209, 2020 | 70 | 2020 |
An application of compressive sensing for image fusion T Wan, Z Qin Proceedings of the ACM International Conference on Image and Video Retrieval …, 2010 | 64 | 2010 |
Multimodal feature fusion by relational reasoning and attention for visual question answering W Zhang, J Yu, H Hu, H Hu, Z Qin Information Fusion 55, 116-126, 2020 | 63 | 2020 |
Dualvd: An adaptive dual encoding model for deep visual understanding in visual dialogue X Jiang, J Yu, Z Qin, Y Zhuang, X Zhang, Y Hu, Q Wu Proceedings of the AAAI conference on artificial intelligence 34 (07), 11125 …, 2020 | 60 | 2020 |
Accurate segmentation of overlapping cells in cervical cytology with deep convolutional neural networks T Wan, S Xu, C Sang, Y Jin, Z Qin Neurocomputing 365, 157-170, 2019 | 60 | 2019 |
ROC analysis for predictions made by probabilistic classifiers ZC Qin 2005 International Conference on Machine Learning and Cybernetics 5, 3119-3124, 2005 | 58 | 2005 |
Pixel level data augmentation for semantic image segmentation using generative adversarial networks S Liu, J Zhang, Y Chen, Y Liu, Z Qin, T Wan ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 57 | 2019 |
Robust nuclei segmentation in histopathology using ASPPU-Net and boundary refinement T Wan, L Zhao, H Feng, D Li, C Tong, Z Qin Neurocomputing 408, 144-156, 2020 | 53 | 2020 |
Modeling text with graph convolutional network for cross-modal information retrieval J Yu, Y Lu, Z Qin, W Zhang, Y Liu, J Tan, L Guo Advances in Multimedia Information Processing–PCM 2018: 19th Pacific-Rim …, 2018 | 53 | 2018 |