Hi! I'm a PhD student working with Ioannis Patras, Mihalis A. Nicolaou, and Yannis Panagakis (all of whom supervised me previously during my research masters). My PhD research focuses on controllable and interpretable generative models of visual data. I'm recently interested in uncovering latent semantic structure in pre-trained models, often using tools from the matrix/tensor factorisation literatures to this end.

News

• [2023.01] One paper accepted at ICLR'23 [NEW]
• [2022.03] One paper accepted at CVPR'22
• [2021.10] One paper accepted at BMVC'21 (oral)
• [2021.09] Started as a PhD student at QMUL

Recent publications

2023

• "Parts of Speech–Grounded Subspaces in Vision-Language Models"
  J. Oldfield, C. Tzelepis, Y. Panagakis, M. A. Nicolaou, I. Patras
  ArXiv
  [pdf | code | project page]
• "PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs"
  J. Oldfield, C. Tzelepis, Y. Panagakis, M. A. Nicolaou, I. Patras
  ICLR
  [pdf | code | project page]

2022

• "ContraCLIP: Interpretable GAN generation driven by pairs of contrasting sentences"
  C. Tzelepis, J. Oldfield, G. Tzimiropoulos, I. Patras
  ArXiv
  [pdf | code]
• "Cluster-guided Image Synthesis with Unconditional Models"
  M. Georgopoulos, J. Oldfield, G. G. Chrysos, Y. Panagakis
  CVPR
  [pdf]

2021

• "Tensor Component Analysis for Interpreting the Latent Space of GANs"
  J. Oldfield, M. Georgopoulos, Y. Panagakis, M. A. Nicolaou, I. Patras
  BMVC (oral)
  [pdf | code | project page]
• "Tensor Methods in Computer Vision and Deep Learning"
  Y. Panagakis*, J. Kossaifi*, G. G. Chrysos, J. Oldfield, M. A. Nicolaou, A. Anandkumar, S. Zafeiriou
  Proceedings of the IEEE
  [pdf | code]
• "Mitigating Demographic Dataset Bias with Style-Based Attribute Transfer"
  M. Georgopoulos*, J. Oldfield*, M. A. Nicolaou, Y. Panagakis, M. Pantic
  IJCV
  [pdf]

Awards

• [2021] Full EPSRC Studentship (QMUL): 3.5 years' PhD funding
• [2018] Academic Excellence (£50; HEAR): Ranked #1 in CS department for undergrad

Teaching

• [2021–2022] (QMUL; TA) ECS708 Machine Learning
• [2021] (QMUL; TA) ECS629 Artificial Intelligence

Experience

• [2019.11–2020.09] Machine Learning Research Intern (The Cyprus Institute)