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3 papers match

cs.CV2026

CoDi -- an exemplar-conditioned diffusion model for low-shot counting

Grega Šuštar, Jer Pelhan, Alan Lukežič +1

CoDi is a latent diffusion-based model that uses exemplar-conditioned conditioning to generate high-quality density maps for low-shot object counting, enabling accurate object loca…

#low-shot counting#diffusion models#density estimation#exemplar conditioning
stat.ME2026

A Leave-One-Out Influence Statistic for Density-Based Outlier Detection

Aurélien Nicosia, Thierry Duchesne, Michel Carbon

The paper introduces a computationally efficient leave-one-out influence score for density-based unsupervised outlier detection using the Linear-Blend Frequency Polygon estimator,…

#outlier detection#density estimation#leave-one-out#unsupervised learning
stat.ME2026

Bandwidth-free nonparametric density estimation for grouped data

Furkan Danisman, Hanna Jankowski, Camila P. E. de Souza

The paper introduces a bandwidth‑free, non‑parametric method called mean‑adjusted log‑concave (MALC) for estimating the density of univariate data that is only available in grouped…

#density estimation#grouped data#log-concave#nonparametric