AFreeCA: Annotation-Free Counting for All
ECCV 2024
Utilizing latent diffusion models for annotation-free object counting across diverse categories.
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.
Utilizing latent diffusion models for annotation-free object counting across diverse categories.
Reducing the annotation burden for object counting by leveraging ranking supervision.
A analysis of big datasets and the ‘intelligent’ machines which use them in decision support systems for farmers.
Creating name-embeddings for record linkage and document retrieval using Doc2Vec