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Zengchang Qin (秦曾昌)
Título
Citado por
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Ano
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
5862019
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
2662008
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
1942018
Feature integration analysis of bag-of-features model for image retrieval
J Yu, Z Qin, T Wan, X Zhang
Neurocomputing 120, 355-364, 2013
1922013
Multifocus image fusion based on robust principal component analysis
T Wan, C Zhu, Z Qin
Pattern Recognition Letters 34 (9), 1001-1008, 2013
1682013
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
1372018
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
1372017
A SIFT-LBP IMAGE RETRIEVAL MODEL BASED ON BAG-OF-FEATURES
X Yuan, J Yu, Z Qin, T Wan
ICIP, 0
126*
Decision tree learning with fuzzy labels
Z Qin, J Lawry
Information Sciences 172 (1-2), 91-129, 2005
1112005
Data augmentation in emotion classification using generative adversarial networks
X Zhu, Y Liu, Z Qin, J Li
arXiv preprint arXiv:1711.00648, 2017
1042017
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
972017
An application of compressive sensing for image fusion
T Wan, Z Qin
Proceedings of the ACM International Conference on Image and Video Retrieval …, 2010
652010
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
592020
ROC analysis for predictions made by probabilistic classifiers
ZC Qin
2005 International Conference on Machine Learning and Cybernetics 5, 3119-3124, 2005
562005
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
502020
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
492020
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
482019
A novel serial crime prediction model based on Bayesian learning theory
R Liao, X Wang, L Li, Z Qin
2010 international conference on machine learning and cybernetics 4, 1757-1762, 2010
472010
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
452018
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
442019
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