Adriano D'Alessandro

PhD Candidate (Computer Science)

I’m a computer vision researcher and PhD candidate living in Vancouver. My work focuses on object counting with limited data, and lately, I’ve been diving into using synthetic data from latent diffusion models to train counting models. I’m also into things like plant agriculture and biodiversity—basically, anywhere counting and nature intersect in interesting ways.

Publications

AFreeCA: Annotation-Free Counting for All

AFreeCA: Annotation-Free Counting for All

Adriano D'Alessandro, Ali Mahdavi-Amiri, Ghassan Hamarneh
ECCV 2024

Utilizing latent diffusion models for annotation-free object counting across diverse categories.

Learning-to-Count by Learning-to-Rank

Learning-to-Count by Learning-to-Rank

Adriano D'Alessandro, Ali Mahdavi-Amiri, Ghassan Hamarneh
CVR 2023

Reducing the annotation burden for object counting by leveraging ranking supervision.

The human impact of data bias and the digital agricultural revolution

The human impact of data bias and the digital agricultural revolution

Kelly Bronson, Sarah Rotz, Adriano D'Alessandro
Handbook on the human impact of agriculture, Edward Elgar Publishing 2021

A analysis of big datasets and the ‘intelligent’ machines which use them in decision support systems for farmers.

Name2vec: Personal names embeddings

Name2vec: Personal names embeddings

Jeremy Foxcroft, Adriano D'Alessandro, Luiza Antonie
CCAI 2019

Creating name-embeddings for record linkage and document retrieval using Doc2Vec