Logit Mixing Training for More Reliable and Accurate Prediction.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
GridMix: Strong regularization through local context mapping.
Pattern Recognit., 2021
Distilling from professors: Enhancing the knowledge distillation of teachers.
Inf. Sci., 2021
MGGAN: Solving Mode Collapse Using Manifold-Guided Training.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Discriminator Feature-Based Inference by Recycling the Discriminator of GANs.
Int. J. Comput. Vis., 2020
High Quality Bidirectional Generative Adversarial Networks.
CoRR, 2018
Improved Training of Generative Adversarial Networks using Representative Features.
Proceedings of the 35th International Conference on Machine Learning, 2018
Resembled Generative Adversarial Networks: Two Domains with Similar Attributes.
Proceedings of the British Machine Vision Conference 2018, 2018
Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously.
Proceedings of the Computer Vision - ACCV 2018, 2018
Depth image enhancement using perceptual texture priors.
Proceedings of the Human Vision and Electronic Imaging XX, 2015