469 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Technology SydneyAU3 papers
- UNSW SydneyAU3 papers
- Australian Institute of Nuclear Science and EngineeringAU2 papers
- The University of AdelaideAU2 papers
- The University of SydneyAU2 papers
- Australian Centre for Robotic VisionAU1 paper
- Australian Institute of Policy and ScienceAU1 paper
- Beijing University of TechnologyCN1 paper
- Broad InstituteUS1 paper
- Center for Scalable Data Analytics and Artificial IntelligenceDE1 paper
- Center for Systems Biology DresdenDE1 paper
- Centre Inria de SaclayFR1 paper
9 papers
TactDeform: Finger Pad Deformation Inspired Spatial Tactile Feedback for Virtual Geometry Exploration
Yihao Dong, Praneeth Bimsara Perera, Chin-Teng Lin +2
Spatial tactile feedback can enhance the realism of geometry exploration in virtual reality applications. Current vibrotactile approaches often face challenges with the spatial and…
Leveraging Labelled Data Knowledge: A Cooperative Rectification Learning Network for Semi-supervised 3D Medical Image Segmentation
Yanyan Wang, Kechen Song, Yuyuan Liu +3
Semi-supervised 3D medical image segmentation aims to achieve accurate segmentation using few labelled data and numerous unlabelled data. The main challenge in the design of semi-s…
Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection
Junfei Yi, Jianxu Mao, Tengfei Liu +5
Knowledge distillation (KD) is a widely adopted and effective method for compressing models in object detection tasks. Particularly, feature-based distillation methods have shown r…
Metrics reloaded: Recommendations for image analysis validation
Lena Maier-Hein, Annika Reinke, Patrick Godau +71
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen…
Mutual information neural estimation for unsupervised multi-modal registration of brain images
Gerard Snaauw, Michele Sasdelli, Gabriel Maicas +4
Many applications in image-guided surgery and therapy require fast and reliable non-linear, multi-modal image registration. Recently proposed unsupervised deep learning-based regis…
MIPO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning
Xueping Peng, Guodong Long, Tao Shen +4
Representation learning on electronic health records (EHRs) plays a vital role in downstream medical prediction tasks. Although natural language processing techniques, such as recu…
Efficient Selection Between Hierarchical Cognitive Models: Cross-validation With Variational Bayes
Viet-Hung Dao, David Gunawan, Minh-Ngoc Tran +3
Model comparison is the cornerstone of theoretical progress in psychological research. Common practice overwhelmingly relies on tools that evaluate competing models by balancing in…
Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume
Adrian Johnston, Gustavo Carneiro
Monocular depth estimation has become one of the most studied applications in computer vision, where the most accurate approaches are based on fully supervised learning models. How…
The Predictive Lasso
Minh-Ngoc Tran, David Nott, Chenlei Leng
We propose a shrinkage procedure for simultaneous variable selection and estimation in generalized linear models (GLMs) with an explicit predictive motivation. The procedure estima…