
Very kind lecturer with engaging lectures and great simple explanations. Passionate about the subject matter and sets very clear expectations for assignments and exams.
Always approachable and supportive.
Brings real-world relevance to learning.
Helps students see the bigger picture.
Fair, constructive, and always motivating.
Encourages students to think outside the box.
Dr. Antoni Liang serves as a Lecturer in the School of Electrical Engineering, Computing and Mathematical Sciences (EECMS) within the Faculty of Science and Engineering at Curtin University. He obtained his PhD from Curtin University in May 2017, with a thesis titled 'Face Image Retrieval with Landmark Detection and Semantic Concepts Extraction,' supervised by Wanquan Liu. The thesis introduced novel approaches to improve automatic facial landmarks detection using pictorial tree structure models, including a robust glasses landmark detection system to handle common occlusions. These advancements were applied to develop an efficient semantic-based face image retrieval system, with experimental results showing significant gains in accuracy and efficiency. Earlier, he completed a Bachelor's Degree in Computer Science with First Class Honours (High Distinction, 82.88%) at Curtin University around 2010.
Liang's research specializes in computer vision and image processing, encompassing facial landmark detection for multi-resolution and uncontrolled frontal faces, face recognition despite glasses, sub-window search algorithms, and medical image analysis such as automatic prostate segmentation. Notable publications include 'Automatic prostate segmentation based on fusion between deep network and variational methods' (2019, Journal of X-Ray Science and Technology, corresponding author), 'A novel landmark detector system for multi resolution frontal faces' (2014, International Conference), 'Fast sub-window search with square shape' (2011, conference paper), and contributions like 'Robust and flexible landmarks detection for uncontrolled frontal faces in the wild' and 'Accurate Facial Landmarks Detection for Frontal Faces With Extended Tree Structured Models' (2014). His seven documented research works have accumulated 39 citations. In recognition of his teaching excellence, he received the 2024 Curtin Student Guild Excellence in Teaching Award as the winner in the Faculty of Science and Engineering category. He coordinates courses including COMP2004 Computer Graphics and COMP1000 Unix and C Programming.
