ORCA
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Browse by Current Cardiff authors
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Up a levelNumber of items: 4.
Liang, Yuanbang, Garg, Bhavesh, Rosin, Paul  ORCID: https://orcid.org/0000-0002-4965-3884 and Qin, Yipeng ORCID: https://orcid.org/0000-0002-1551-9126
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.
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Liang, Yuanbang, Wu, Jing ORCID: https://orcid.org/0000-0001-5123-9861, Lai, Yukun ORCID: https://orcid.org/0000-0002-2094-5680 and Qin, Yipeng ORCID: https://orcid.org/0000-0002-1551-9126
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.
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Song, Shuang, Liang, Yuanbang ORCID: https://orcid.org/0009-0000-8370-6655, Wu, Jing ORCID: https://orcid.org/0000-0001-5123-9861, Lai, Yukun ORCID: https://orcid.org/0000-0002-2094-5680 and Qin, Yipeng ORCID: https://orcid.org/0000-0002-1551-9126
2023.
Feature proliferation — the "cancer" in StyleGAN and its treatments.
Presented at: International Conference on Computer Vision (ICCV) 2023,
Paris, France,
October 1 - 6, 2023.
Proceedings of IEEE/CVF International Conference on Computer Vision.
IEEE,
pp. 2360-2370.
10.1109/ICCV51070.2023.00224
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Liang, Yuanbang, Wu, Jing ORCID: https://orcid.org/0000-0001-5123-9861, Lai, Yukun ORCID: https://orcid.org/0000-0002-2094-5680 and Qin, Yipeng ORCID: https://orcid.org/0000-0002-1551-9126
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.
Proceedings of Machine Learning Research.
, vol.162
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