Machine Learning for 3D Vision and Graphics

Hamid Laga

Professor

Harry Butler Institute and
Information Technology Discipline

Murdoch University, Australia

Contact:

+61 (0) 8 9360 2325

H[dot]Laga[At]murdoch.edu.au

Profile:

Google Scholar

Linkedin profile

I am a Professor within the Information Technology Discipline at Murdoch University (Australia) and a member of the Biosecurity and One Health Research Centre, Harry Butler Institute (Murdoch University, Australia).

I received my Master's and the Ph.D. degrees in Computer Science from Tokyo Institute of Technology (Japan) in 2003 and 2006, respectively. Prior to joining Murdoch University in 2016, I was a Senior Research Fellow at the Phenomics and Bioinformatics Research Centre of the University of South Australia (Australia), an Associate Professor at Telecom Lille 1 (France), an Assistant Professor at Tokyo Institute of Technology (Japan), and a PostDoctoral Research Fellow at Nara Institute of Science and Technology (Japan) and funded by the prestigious Japan Society for the Promotion of Science (JSPS) Postdoctoral Fellowship program.

My research interests span various fields of machine learning, computer vision, computer graphics, and Virtual/Augmented Reality, with a special focus on the 3D reconstruction, modeling, and analysis of static and deformable 3D objects, and on image analysis, image-based phenotyping and big data in agriculture, health, and environment.

I co-authored two books published, respectively, in 2017 and 2019, and more than 40 articles in top journals including IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Transactions on Graphics (Siggraph and Siggraph Asia). My work received multiple awards including the Best Paper Awards at (1) the Eurographics Symposium on Geometry Processing (2017), (2) the APRS/IAPR Best Paper Prize at DICTA (2012), and (3) the IEEE International Conference on Shape Modelling (2006). I have also received the Japan Society of Art and Science Award (2008) for the best computer graphics paper published between 2006 and 2008.

Latest News

April 2022
- Our paper entitled "4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data", co-authored with Marcel Padilla, Ian H. Jermyn, Sebastian Kurtek, Mohammed Bennamoun, and Anuj Srivastava has been accepted for publication in IEEE Transactions on Pattern Analysis and Machine Intelligence (Impact Factor > 16). Please refer also to the project page.
Jan 2022:
- Our paper entitled Hands-on Bayesian Neural Networks--a Tutorial for Deep Learning Users, co-authored with Laurent Jospin, Wray Buntine, Farid Boussaid, and Mohammed Bennamoun has been accepted for publication in IEEE Computational Intelligence Magazine. The latest version of the paper is available for download from Arxiv.
Dec 2021:
- Our paper on Weed Recognition using Deep Learning Techniques on Class-imbalanced Imagery, co-authored with Mahmudul Hassan, Ferdous Sohel, Dean Diepeveen, and Michael Jones has been accepted for publication in Crop & Pasture Science Journal. Congratulations, Mahmudul!
Sept 2021:
May 2021: Our latest survey on Deep Learning Techniques for Weed Detection from Images has been accepted for publication in the Journal of Computers and Electronics in Agriculture.

Selected Projects

Statistical 3D Shape Analysis

Statistical Analysis of Tree-like 3D Shapes

4D (or longitudinal 3D) Shape Analysis

Viso-Haptic Augmented Reality for Medical Simulation and Training

Deep Learning-based 3D Reconstruction

Deep Learning for Image-based Plant Phenotyping