Publications: Mr James Oldfield
Oldfield J, Im S, Li S, Nicolaou MA, Patras I, Chrysos GG
(
2025
)
.
Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders
.
Oldfield J, Tzelepis C, Panagakis Y, Nicolaou MA, Patras I
(
2024
)
.
Bilinear Models of Parts and Appearances in Generative Adversarial Networks
.
IEEE Transactions on Pattern Analysis and Machine Intelligence
vol.
46
,
(
12
)
8568
-
8579
.
Oldfield J, Georgopoulos M, Chrysos G, Tzelepis C, Panagakis Y, Nicolaou MA, Deng J, Patras I
(
2024
)
.
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
.
Vancouver, CA
,
38th Conference on Neural Information Processing Systems (NeurIPS)
Oldfield J, Georgopoulos M, Chrysos GG, Tzelepis C, Panagakis Y, Nicolaou MA, Deng J, Patras I
(
2024
)
.
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
.
Panagakis Y, Kossaifi J, Chrysos GG, Oldfield J, Patti T, Zafeiriou S
(
2024
)
.
Chapter 15 Tensor methods in deep learning
.
Signal Processing and Machine Learning Theory
,
Elsevier
Chrysos G, Deng J, Georgopoulos M, Nicolaou M, Oldfield J, Panagakis Y, Patras I, Tzelepis C
(
2024
)
.
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
.
53022
-
53063
.
Georgopoulos M, Oldfield J, Chrysos GG
(
2022
)
.
Cluster-guided Image Synthesis with Unconditional Models
.
Conference:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
vol.
00
,
11533
-
11542
.
Tzelepis C, Oldfield J, Tzimiropoulos G, Patras I
(
2022
)
.
ContraCLIP: Interpretable GAN generation driven by pairs of contrasting sentences
.
Oldfield J, Tzelepis C, Panagakis Y, Nicolaou MA, Patras I
(
2022
)
.
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
.
Georgopoulos M, Oldfield J, Panagakis Y
(
2021
)
.
Cluster-guided Image Synthesis with Unconditional Models
.
Oldfield J, Georgopoulos M, Panagakis Y, Nicolaou MA, Patras I
(
2021
)
.
Tensor Component Analysis for Interpreting the Latent Space of GANs
.
Panagakis Y, Kossaifi J, Chrysos GG, Oldfield J, Nicolaou MA
(
2021
)
.
Tensor Methods in Computer Vision and Deep Learning
.
Georgopoulos M, Oldfield J, Panagakis Y
(
2021
)
.
Mitigating Demographic Bias in Facial Datasets with Style-Based Multi-attribute Transfer
.
International Journal of Computer Vision
vol.
129
,
(
7
)
2288
-
2307
.
Panagakis Y, Kossaifi J, Chrysos GG, Anandkumar A
(
2021
)
.
Tensor Methods in Computer Vision and Deep Learning
.
Proceedings of the IEEE
vol.
109
,
(
5
)
863
-
890
.
Ashiotis G, Oldfield J, Chrysostomou C
(
2021
)
.
Shared-Space Autoencoders with Randomized Skip Connections for Building Footprint Detection with Missing Views
.
Pattern Recognition. ICPR International Workshops and Challenges
,
vol.
12667
,
Springer Nature
Georgopoulos M, Oldfield J, Nicolaou MA, Panagakis Y
(
2020
)
.
Enhancing Facial Data Diversity with Style-based Face Aging
.
Conference:
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
vol.
00
,
66
-
74
.
Georgopoulos M, Oldfield J, Panagakis Y
(
2020
)
.
Enhancing Facial Data Diversity with Style-based Face Aging
.
Oldfield J, Nicolaou MA
(
2019
)
.
Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes
.
Hooman OMJ, Oldfield J
(
2019
)
.
Detecting Early Parkinson’s Disease from Keystroke Dynamics using the Tensor-Train Decomposition
.
Conference:
2019 27th European Signal Processing Conference (EUSIPCO)
vol.
00
,
1
-
5
.
Oldfield J, Tzelepis C, Panagakis Y, Nicolaou, A. M, Patras I
.
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
.
Conference:
International Conference on Learning Representations (ICLR)
(
Kigali, Rwanda
)
Oldfield J, Tzelepis C, panagakis Y, Nicolaou MA, Patras I
.
Parts of Speech-Grounded Subspaces in Vision-Language Models
.
Oldfield J, TZELEPIS C, Panagakis Y, Nicolaou MA, Patras I
.
Parts of Speech–Grounded Subspaces in Vision-Language Models
.
Conference:
Thirty-seventh Conference on Neural Information Processing Systems