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Alessandro Fontanella

2 accepted papers

2024

Generating compositional scenes via Text-to-image RGBA Instance Generation

NeurIPS 2024poster

Text-to-image diffusion generative models can generate high quality images at the cost of tedious prompt engineering. Controllability can be improved by introducing layout conditioning, however existing methods lack layout editing ability and fine-grained control over object attributes. The concept…

Cited by 0SourcePDFScholar
2023

ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging

ICML 2023poster

In some medical imaging tasks and other settings where only small parts of the image are informative for the classification task, traditional CNNs can sometimes struggle to generalise. Manually annotated Regions of Interest (ROI) are often used to isolate the most informative parts of the image. How…