activity
20142024
most citedAutomatic Classification of Human Epithelial Type 2 Cell Indirect Immunofluorescence Images using Cell Pyramid Matching

63 citations · 82 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Zoom-shot: Fast and Efficient Unsupervised Zero-Shot Transfer of CLIP to Vision Encoders with Multimodal Loss

Jordan Shipard, Arnold Wiliem, Kien Nguyen Thanh +2

The fusion of vision and language has brought about a transformative shift in computer vision through the emergence of Vision-Language Models (VLMs). However, the resource-intensiv…

cs.CV20232 cited

Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion

Jordan Shipard, Arnold Wiliem, Kien Nguyen Thanh +2

In this work, we investigate the problem of Model-Agnostic Zero-Shot Classification (MA-ZSC), which refers to training non-specific classification architectures (downstream models)…

cs.CV2016

What is the Best Way for Extracting Meaningful Attributes from Pictures?

Liangchen Liu, Arnold Wiliem, Shaokang Chen +1

Automatic attribute discovery methods have gained in popularity to extract sets of visual attributes from images or videos for various tasks. Despite their good performance in some…

q-bio.CB201463 cited

Automatic Classification of Human Epithelial Type 2 Cell Indirect Immunofluorescence Images using Cell Pyramid Matching

Arnold Wiliem, Conrad Sanderson, Yongkang Wong +3

This paper describes a novel system for automatic classification of images obtained from Anti-Nuclear Antibody (ANA) pathology tests on Human Epithelial type 2 (HEp-2) cells using…

cs.CV201413 cited

Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification

Azadeh Alavi, Arnold Wiliem, Kun Zhao +2

Recent advances suggest that encoding images through Symmetric Positive Definite (SPD) matrices and then interpreting such matrices as points on Riemannian manifolds can lead to in…

cs.CV20144 cited

Matching Image Sets via Adaptive Multi Convex Hull

Shaokang Chen, Arnold Wiliem, Conrad Sanderson +1

Traditional nearest points methods use all the samples in an image set to construct a single convex or affine hull model for classification. However, strong artificial features and…