- Dec 2025: The 13th Fine-Grained Visual Categorization Workshop has been accepted to CVPR 2026, and I am happy to be serving as an organizer!
- Dec 2025: The LookAlikes Dataset is temporarily offline. I will be releasing a version 2 with more data and fine-grained categories!
- Oct 2025: I've started a contract position as a Machine Learning Engineer to work on developing AI-driven clincial support tools for the early detection of arthritis
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.
News
Publications
FiGO: Fine-Grained Object Counting without Annotations
arxiv 2025
Moving beyond inference-time conditioning for fine-grained object counting by prompt tuning using synthetic data.
AFreeCA: Annotation-Free Counting for All
ECCV 2024
Utilizing latent diffusion models for annotation-free object counting across diverse categories.
Learning-to-Count by Learning-to-Rank
CVR 2023
Reducing the annotation burden for object counting by leveraging ranking supervision.
The human impact of data bias and the digital agricultural revolution
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
CCAI 2019
Creating name-embeddings for record linkage and document retrieval using Doc2Vec