Tri Huynh

According to our database, Tri Huynh authored at least 14 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Neural Multigrid Memory For Computational Fluid Dynamics.

Duc Minh Nguyen, Minh Chau Vu, Tuan Anh Nguyen, Tri Huynh, Nguyen Tri Nguyen, Truong Son Hy

CoRR, 2023

Acadela: A Domain-Specific Language for Modeling Clinical Pathways.

Tri Huynh, Selin Erdem, Felix Martin Eckert, Florian Matthes

Proceedings of the 18th International Conference on Software Technologies, 2023

2022

Semi-supervised learning for medical image classification using imbalanced training data.

Tri Huynh, Aiden Nibali, Zhen He

Comput. Methods Programs Biomed., 2022

Boosting Contrastive Self-Supervised Learning with False Negative Cancellation.

Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2020

Multigrid Neural Memory.

Tri Huynh, Michael Maire, Matthew R. Walter

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Bringing Vision to the Blind: From Coarse to Fine, One Dollar at a Time.

Tri Huynh, Jay Pillai, Eunyoung Kim, Kristen Aw, Jack Sim, Ken Goldman, Rui Min

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Generating effective test cases for self-driving cars from police reports.

Alessio Gambi, Tri Huynh, Gordon Fraser

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

AC3R: automatically reconstructing car crashes from police reports.

Tri Huynh, Alessio Gambi, Gordon Fraser

Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

Automatically reconstructing car crashes from police reports for testing self-driving cars.

Alessio Gambi, Tri Huynh, Gordon Fraser

Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

2016

Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model.

Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Jun Lian, Dinggang Shen

IEEE Trans. Medical Imaging, 2016

2015

Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data.

Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

2014

Model-to-volume registration for endovascular aneurysm repair.

Tri Huynh, Shun Miao, Rui Liao

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

Intensity-Based 3D-2D Mesh-to-Image Registration Using Mesh-Based Digitally Reconstructed Radiography.

Shun Miao, Tri Huynh, Cyprien Adnet, Marcus Pfister, Rui Liao

Proceedings of the Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, 2013

2012

An Efficient LBP-Based Descriptor for Facial Depth Images Applied to Gender Recognition Using RGB-D Face Data.

Tri Huynh, Rui Min, Jean-Luc Dugelay

Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012