Alessandro Fontanella

2 papers · 2023–2024 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

ICML (1) NeurIPS (1)

Top co-authors

Joanna Wardlaw (1) Amos Storkey (1) Wenwen Li (1) Sarah Parisot (1) Shifeng Zhang (1) Petru-Daniel Tudosiu (1) Antreas Antoniou (1) Grant Mair (1) Yongxin Yang (1) Emanuele Trucco (1)

Research topics

Machine Learning (2) Core Methods (2) Artificial Intelligence (1) Computer Vision (1) Deep Learning (1) Healthcare & Medicine (1) Clinical (1) Core AI (1) Generation (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Models (1) Techniques (1)

Keywords

image classification (1) adversarial learning (1) image generation (1) medical imaging (1) attention mechanism (1) text-to-image generation (1) instance segmentation (1) saliency map (1) diffusion model (1) multi-layer composition (1) instance generation (1) layout conditioning (1) lesion detection (1) image composition (1) multi-layer generation (1) diffusion generative model (1)

Papers

Generating compositional scenes via Text-to-image RGBA Instance Generation NeurIPS 2024 ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging ICML 2023