17 citations · 25 across the 5 of their papers we have counts for
6 papers
Image Similarity using An Ensemble of Context-Sensitive Models
Zukang Liao, Min Chen
Image similarity has been extensively studied in computer vision. In recent years, machine-learned models have shown their ability to encode more semantics than traditional multiva…
Background Invariance Testing According to Semantic Proximity
Zukang Liao, Min Chen
In many applications, machine-learned (ML) models are required to hold some invariance qualities, such as rotation, size, and intensity invariance. Among these, testing for backgro…
ML4ML: Automated Invariance Testing for Machine Learning Models
Zukang Liao, Pengfei Zhang, Min Chen
In machine learning (ML) workflows, determining the invariance qualities of an ML model is a common testing procedure. Traditionally, invariance qualities are evaluated using simpl…
Transfer Learning for Action Unit Recognition
Yen Khye Lim, Zukang Liao, Stavros Petridis +1
This paper presents a classifier ensemble for Facial Expression Recognition (FER) based on models derived from transfer learning. The main experimentation work is conducted for fac…
Simultaneous Adversarial Training - Learn from Others Mistakes
Zukang Liao
Adversarial examples are maliciously tweaked images that can easily fool machine learning techniques, such as neural networks, but they are normally not visually distinguishable fo…
Local Deep Neural Networks for Age and Gender Classification
Zukang Liao, Stavros Petridis, Maja Pantic
Local deep neural networks have been recently introduced for gender recognition. Although, they achieve very good performance they are very computationally expensive to train. In t…