Mr Yuanbang Liang

Liang, Y., Garg, B., Rosin, P. and Qin, Y. 2024. Deep generative model based rate-distortion for image downscaling assessment. Presented at: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024, Seattle, USA, 17-21 June 2024.
Liang, Y., Wu, J., Lai, Y. and Qin, Y. 2024. Efficient precision and recall metrics for assessing generative models using hubness-aware sampling. Presented at: The Forty-first International Conference on Machine Learning (ICML), Vienna, Austria, 21 - 27 July 2024.

Song, S., Liang, Y., Wu, J., Lai, Y. and Qin, Y. 2023. Feature proliferation — the "cancer" in StyleGAN and its treatments. Presented at: International Conference on Computer Vision (ICCV) 2023, Paris, France, October 1 - 6, 2023Proceedings of IEEE/CVF International Conference on Computer Vision. IEEE pp. 2360-2370., (10.1109/ICCV51070.2023.00224)

Liang, Y., Wu, J., Lai, Y. and Qin, Y. 2022. Exploring and exploiting hubness priors for high-quality GAN latent sampling. Presented at: The 39th International Conference on Machine Learning (ICML 2022), Baltimore, Maryland USA, 17-23 July 2022, Vol. 162.

Liang, Y., Garg, B., Rosin, P. and Qin, Y. 2024. Deep generative model based rate-distortion for image downscaling assessment. Presented at: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024, Seattle, USA, 17-21 June 2024.
Liang, Y., Wu, J., Lai, Y. and Qin, Y. 2024. Efficient precision and recall metrics for assessing generative models using hubness-aware sampling. Presented at: The Forty-first International Conference on Machine Learning (ICML), Vienna, Austria, 21 - 27 July 2024.
Song, S., Liang, Y., Wu, J., Lai, Y. and Qin, Y. 2023. Feature proliferation — the "cancer" in StyleGAN and its treatments. Presented at: International Conference on Computer Vision (ICCV) 2023, Paris, France, October 1 - 6, 2023Proceedings of IEEE/CVF International Conference on Computer Vision. IEEE pp. 2360-2370., (10.1109/ICCV51070.2023.00224)
Liang, Y., Wu, J., Lai, Y. and Qin, Y. 2022. Exploring and exploiting hubness priors for high-quality GAN latent sampling. Presented at: The 39th International Conference on Machine Learning (ICML 2022), Baltimore, Maryland USA, 17-23 July 2022, Vol. 162.

Publication