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Markos Georgopoulos
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2020 – today
- 2024
- [c8]Yixin Cheng, Grigorios Chrysos, Markos Georgopoulos, Volkan Cevher:
Multilinear Operator Networks. ICLR 2024 - [i14]Yixin Cheng, Grigorios G. Chrysos, Markos Georgopoulos, Volkan Cevher:
Multilinear Operator Networks. CoRR abs/2401.17992 (2024) - [i13]Yixin Cheng, Markos Georgopoulos, Volkan Cevher, Grigorios G. Chrysos:
Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks. CoRR abs/2402.09177 (2024) - [i12]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) - [i11]Tobias Kirschstein, Simon Giebenhain, Jiapeng Tang, Markos Georgopoulos, Matthias Nießner:
GGHead: Fast and Generalizable 3D Gaussian Heads. CoRR abs/2406.09377 (2024) - 2023
- [j6]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) - [j5]Mustafa Isik
, Martin Rünz
, Markos Georgopoulos
, Taras Khakhulin
, Jonathan Starck
, Lourdes Agapito
, Matthias Nießner
:
HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion. ACM Trans. Graph. 42(4): 160:1-160:12 (2023) - [c7]Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito, Matthias Nießner:
Learning Neural Parametric Head Models. CVPR 2023: 21003-21012 - [i10]Mustafa Isik, Martin Rünz, Markos Georgopoulos, Taras Khakhulin, Jonathan Starck, Lourdes Agapito, Matthias Nießner:
HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion. CoRR abs/2305.06356 (2023) - [i9]Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito, Matthias Nießner:
MonoNPHM: Dynamic Head Reconstruction from Monocular Videos. CoRR abs/2312.06740 (2023) - 2022
- [c6]Markos Georgopoulos, James Oldfield, Grigorios G. Chrysos, Yannis Panagakis:
Cluster-guided Image Synthesis with Unconditional Models. CVPR 2022: 11533-11542 - [c5]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 - [i8]Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito
, Matthias Nießner:
Learning Neural Parametric Head Models. CoRR abs/2212.02761 (2022) - 2021
- [j4]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) - [c4]James Oldfield, Markos Georgopoulos, Yannis Panagakis, Mihalis A. Nicolaou, Ioannis Patras:
Tensor Component Analysis for Interpreting the Latent Space of GANs. BMVC 2021: 222 - [c3]Grigorios Chrysos, Markos Georgopoulos, Yannis Panagakis:
Conditional Generation Using Polynomial Expansions. NeurIPS 2021: 28390-28404 - [i7]Grigorios G. Chrysos, Markos Georgopoulos, Jiankang Deng, Yannis Panagakis:
Polynomial Networks in Deep Classifiers. CoRR abs/2104.07916 (2021) - [i6]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) - [i5]Markos Georgopoulos, James Oldfield, Grigorios G. Chrysos, Yannis Panagakis:
Cluster-guided Image Synthesis with Unconditional Models. CoRR abs/2112.12911 (2021) - 2020
- [j3]Markos Georgopoulos, Yannis Panagakis
, Maja Pantic:
Investigating bias in deep face analysis: The KANFace dataset and empirical study. Image Vis. Comput. 102: 103954 (2020) - [c2]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 - [c1]Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis:
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations. ICML 2020: 3442-3451 - [i4]Markos Georgopoulos, Yannis Panagakis, Maja Pantic:
Investigating Bias in Deep Face Analysis: The KANFace Dataset and Empirical Study. CoRR abs/2005.07302 (2020) - [i3]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) - [i2]Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis:
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations. CoRR abs/2009.04075 (2020)
2010 – 2019
- 2018
- [j2]Markos Georgopoulos, Yannis Panagakis
, Maja Pantic:
Modeling of facial aging and kinship: A survey. Image Vis. Comput. 80: 58-79 (2018) - [i1]Markos Georgopoulos, Yannis Panagakis, Maja Pantic:
Modelling of Facial Aging and Kinship: A Survey. CoRR abs/1802.04636 (2018) - 2017
- [j1]Georgios Niarchos
, Georges Dubourg
, Georgios Afroudakis, Markos Georgopoulos, Vasiliki Tsouti, Eleni Makarona, Vesna Crnojevic-Bengin, Christos Tsamis
:
Humidity Sensing Properties of Paper Substrates and Their Passivation with ZnO Nanoparticles for Sensor Applications. Sensors 17(3): 516 (2017)
Coauthor Index
aka: Grigorios G. Chrysos
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last updated on 2024-08-08 19:19 CEST by the dblp team
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