Общедоступные статьи - Wei Xiong (熊维)Подробнее...
6 статей недоступны нигде
Regularizing deep convolutional neural networks with a structured decorrelation constraint
W Xiong, B Du, L Zhang, R Hu, D Tao
2016 IEEE 16th international conference on data mining (ICDM), 519-528, 2016
Финансирование: Australian Research Council, National Natural Science Foundation of China
Combining local and global: Rich and robust feature pooling for visual recognition
W Xiong, L Zhang, B Du, D Tao
Pattern Recognition 62, 225-235, 2017
Финансирование: Australian Research Council, National Natural Science Foundation of China
Learning structured and non-redundant representations with deep neural networks
J Yang, W Xiong, S Li, C Xu
Pattern Recognition 86, 224-235, 2019
Финансирование: Australian Research Council
Denoising auto-encoders toward robust unsupervised feature representation
W Xiong, B Du, L Zhang, L Zhang, D Tao
2016 International Joint Conference on Neural Networks (IJCNN), 4721-4728, 2016
Финансирование: Australian Research Council, National Natural Science Foundation of China
Stochastic decorrelation constraint regularized auto-encoder for visual recognition
F Mao, W Xiong, B Du, L Zhang
International Conference on Multimedia Modeling, 368-380, 2016
Финансирование: National Natural Science Foundation of China
R2FP: rich and robust feature pooling for mining visual data
W Xiong, B Du, L Zhang, R Hu, W Bian, J Shen, D Tao
2015 IEEE International Conference on Data Mining, 469-478, 2015
Финансирование: Australian Research Council, National Natural Science Foundation of China
8 статей доступны в некоторых источниках
Foreground-aware image inpainting
W Xiong, J Yu, Z Lin, J Yang, X Lu, C Barnes, J Luo
Proceedings of the IEEE conference on computer vision and pattern …, 2019
Финансирование: US National Science Foundation
Stacked convolutional denoising auto-encoders for feature representation
B Du, W Xiong, J Wu, L Zhang, L Zhang, D Tao
IEEE transactions on cybernetics 47 (4), 1017-1027, 2016
Финансирование: National Natural Science Foundation of China
Carigan: Caricature generation through weakly paired adversarial learning
W Li*, W Xiong*, H Liao, J Huo, Y Gao, J Luo
Neural Networks 132, 66-74, 2020
Финансирование: US National Science Foundation, National Natural Science Foundation of China
Fine-grained Image-to-Image Transformation towards Visual Recognition
W Xiong, Y He, Y Zhang, W Luo, L Ma, J Luo
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2020
Финансирование: US National Science Foundation
Example-guided image synthesis using masked spatial-channel attention and self-supervision
H Zheng, H Liao, L Chen, W Xiong, T Chen, J Luo
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Финансирование: US National Science Foundation
Imprint: Generative object compositing by learning identity-preserving representation
Y Song, Z Zhang, Z Lin, S Cohen, B Price, J Zhang, SY Kim, H Zhang, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
Финансирование: US National Science Foundation
Image sentiment transfer
T Chen, W Xiong, H Zheng, J Luo
Proceedings of the 28th ACM International Conference on Multimedia, 4407-4415, 2020
Финансирование: US National Science Foundation
Breast Cancer Induced Bone Osteolysis Prediction Using Temporal Variational Autoencoders
W Xiong*, N Yeung*, S Wang, H Liao, L Wang, J Luo
BME Frontiers 2022, 2022
Финансирование: US National Science Foundation, US National Institutes of Health
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