Tudosiu, Petru-Daniel

7 publications

TMLR 2025 A Practical Investigation of Spatially-Controlled Image Generation with Transformers Guoxuan Xia, Harleen Hanspal, Petru-Daniel Tudosiu, Shifeng Zhang, Sarah Parisot

NeurIPS 2024 Generating Compositional Scenes via Text-to-Image RGBA Instance Generation Alessandro Fontanella, Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Sarah Parisot

CVPR 2024 MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, Sarah Parisot

CVPRW 2023 Denoising Diffusion Models for Out-of-Distribution Detection Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

ICCVW 2023 Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking Ashay Patel, Petru-Daniel Tudosiu, Walter H. L. Pinaya, Mark S. Graham, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso

MIDL 2023 Transformer-Based Out-of-Distribution Detection for Clinically Safe Segmentation Mark S Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U-King-Im, Yee H Mah, James T Teo, Rolf Jager, David Werring, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso

NeurIPS 2020 ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping Cher Bass, Mariana da Silva, Carole Sudre, Petru-Daniel Tudosiu, Stephen Smith, Emma Robinson