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Generative Model Research of PRCI-Lab

COMIM-GAN: Improved Text-to-Image Generation via Condition Optimization and Mutual Information Maximization

Longlong Zhou, Xiao-Jun Wu, and Tianyang Xu, MMM, 2023. (oral)

[Paper]

Generating adversarial examples with elastic-net regularized boundary equilibrium generative adversarial network

Cong Hu, Xiao-Jun Wu, Zuo-Yong Li, PRL, 2020.

[Paper]

Dual Encoder-Decoder Based Generative Adversarial Networks for Disentangled Facial Representation Learning

CONG HU, ZHENHUA FENG, XIAOJUN WU, AND JOSEF KITTLER, IEEE Access, 2020.

[Paper]

Bagging deep convolutional autoencoders trained with a mixture of real data and GAN-generated data

Cong Hu1, Xiao-Jun Wu, Zhen-Qiu Shu, KSII TIIS, 2019.

[Paper]

Semi-Supervised Learning Based on GAN With Mean and Variance Feature Matching

Cong Hu, Xiao-Jun Wu , and Josef Kittler, IEEE TCDS, 2018.

[Paper]