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Yannis Panagakis
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Publications
- 2024
- [i44]James Oldfield, Markos Georgopoulos, Grigorios G. Chrysos, Christos Tzelepis, Yannis Panagakis, Mihalis A. Nicolaou, Jiankang Deng, Ioannis Patras:
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization. CoRR abs/2402.12550 (2024) - 2023
- [j36]Triantafyllos Kefalas, Eftychia Fotiadou, Markos Georgopoulos, Yannis Panagakis, Pingchuan Ma, Stavros Petridis, Themos Stafylakis, Maja Pantic:
KAN-AV dataset for audio-visual face and speech analysis in the wild. Image Vis. Comput. 140: 104839 (2023) - 2022
- [c57]Markos Georgopoulos, James Oldfield, Grigorios G. Chrysos, Yannis Panagakis:
Cluster-guided Image Synthesis with Unconditional Models. CVPR 2022: 11533-11542 - [c56]Grigorios G. Chrysos, Markos Georgopoulos, Jiankang Deng, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar:
Augmenting Deep Classifiers with Polynomial Neural Networks. ECCV (25) 2022: 692-716 - 2021
- [j32]Markos Georgopoulos, James Oldfield, Mihalis A. Nicolaou, Yannis Panagakis, Maja Pantic:
Mitigating Demographic Bias in Facial Datasets with Style-Based Multi-attribute Transfer. Int. J. Comput. Vis. 129(7): 2288-2307 (2021) - [c52]James Oldfield, Markos Georgopoulos, Yannis Panagakis, Mihalis A. Nicolaou, Ioannis Patras:
Tensor Component Analysis for Interpreting the Latent Space of GANs. BMVC 2021: 222 - [c49]Grigorios Chrysos, Markos Georgopoulos, Yannis Panagakis:
Conditional Generation Using Polynomial Expansions. NeurIPS 2021: 28390-28404 - [i31]Grigorios G. Chrysos, Markos Georgopoulos, Jiankang Deng, Yannis Panagakis:
Polynomial Networks in Deep Classifiers. CoRR abs/2104.07916 (2021) - [i27]James Oldfield, Markos Georgopoulos, Yannis Panagakis, Mihalis A. Nicolaou, Ioannis Patras:
Tensor Component Analysis for Interpreting the Latent Space of GANs. CoRR abs/2111.11736 (2021) - [i26]Markos Georgopoulos, James Oldfield, Grigorios G. Chrysos, Yannis Panagakis:
Cluster-guided Image Synthesis with Unconditional Models. CoRR abs/2112.12911 (2021) - 2020
- [j28]Markos Georgopoulos, Yannis Panagakis, Maja Pantic:
Investigating bias in deep face analysis: The KANFace dataset and empirical study. Image Vis. Comput. 102: 103954 (2020) - [c48]Markos Georgopoulos, James Oldfield, Mihalis A. Nicolaou, Yannis Panagakis, Maja Pantic:
Enhancing Facial Data Diversity with Style-based Face Aging. CVPR Workshops 2020: 66-74 - [c43]Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis:
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations. ICML 2020: 3442-3451 - [i24]Markos Georgopoulos, Yannis Panagakis, Maja Pantic:
Investigating Bias in Deep Face Analysis: The KANFace Dataset and Empirical Study. CoRR abs/2005.07302 (2020) - [i23]Markos Georgopoulos, James Oldfield, Mihalis A. Nicolaou, Yannis Panagakis, Maja Pantic:
Enhancing Facial Data Diversity with Style-based Face Aging. CoRR abs/2006.03985 (2020) - [i21]Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis:
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations. CoRR abs/2009.04075 (2020) - 2018
- [j16]Markos Georgopoulos, Yannis Panagakis, Maja Pantic:
Modeling of facial aging and kinship: A survey. Image Vis. Comput. 80: 58-79 (2018) - [i11]Markos Georgopoulos, Yannis Panagakis, Maja Pantic:
Modelling of Facial Aging and Kinship: A Survey. CoRR abs/1802.04636 (2018)
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last updated on 2024-04-25 01:56 CEST by the dblp team
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