Vito Paolo Pastore

5 papers · 2025–2026 · 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 (13) ⭐ Rising Star (5) ❓ The Questioner

Venues

WACV (4) CVPR (1)

Top co-authors

Massimiliano Ciranni (2) Francesca Odone (2) Vittorio Murino (2) Ekaterina Iakovleva (2) Enzo Tartaglione (2) Nathan Roos (1) Abdel Djalil Sad Saoud (1) Roberto Di Via (1) Ani Gjergji (1) Ivan Luiz De Moura Matos (1)

Research topics

Machine Learning (5) Deep Learning (3) Application Areas (3) Learning Types · Machine Learning (3) Artificial Intelligence (2) Core AI (2) Models (2) Computer Vision (1) Core Methods (1) Domain-Specific (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

diffusion model (2) model debiasing (2) few-shot learning (1) anomaly detection (1) self-supervised learning (1) medical imaging (1) network pruning (1) landmark detection (1) feature space (1) generative model (1) bias mitigation (1) spurious correlation (1) bias amplification (1) subnetwork extraction (1) algorithmic bia (1) sampling algorithm (1) denoising diffusion probabilistic model (1) bias identification (1) entropy loss (1) x-ray imaging (1)

Papers

Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models CVPR 2026 How I Met Your Bias: Investigating Bias Amplification in Diffusion Models WACV 2026 Lose Your Self (LoYS): An Adversarial Entropy-based Unsupervised Approach for Model Debiasing WACV 2026 Looking at Model Debiasing through the Lens of Anomaly Detection WACV 2025 Self-Supervised Pre-Training with Diffusion Model for Few-Shot Landmark Detection in X-Ray Images WACV 2025