Duy M. H. Nguyen

Orcid: 0000-0002-7826-2444

According to our database¹, Duy M. H. Nguyen authored at least 24 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

I-MPN: Inductive Message Passing Network for Effective and Efficient Human-in-the-Loop Annotation of Mobile Eye Tracking Data.

[BibT_eX]

[DOI]

CoRR, 2024

Accelerating Transformers with Spectrum-Preserving Token Merging.

[BibT_eX]

[DOI]

CoRR, 2024

Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Interactive Fixation-to-AOI Mapping for Mobile Eye Tracking Data based on Few-Shot Image Classification.

[BibT_eX]

[DOI]

Michael Barz

Omair Shahzad Bhatti

Hasan Md Tusfiqur Alam

Duy Minh Ho Nguyen

Daniel Sonntag

Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering.

[BibT_eX]

[DOI]

Duy M. H. Nguyen

Hoang Nguyen

Truong Thanh Nhat Mai

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

TATL: Task agnostic transfer learning for skin attributes detection.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

ASMCNN: An efficient brain extraction using active shape model and convolutional neural networks.

[BibT_eX]

[DOI]

Duy M. H. Nguyen

Duy M. Nguyen

Truong Thanh Nhat Mai

Inf. Sci., 2022

DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading.

[BibT_eX]

[DOI]

Hasan Md Tusfiqur Alam

Duy M. H. Nguyen

Mai Thanh Nhat Truong

Triet A. Nguyen

Binh T. Nguyen

Michael Barz

Hans-Jürgen Profitlich

CoRR, 2022

LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Self-supervised Domain Adaptation for Diabetic Retinopathy Grading Using Vessel Image Reconstruction.

[BibT_eX]

[DOI]

Duy M. H. Nguyen

Truong Thanh Nhat Mai

Ngoc T. T. Than

Alexander Prange

Daniel Sonntag

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

2020

Posterior concentration and fast convergence rates for generalized Bayesian learning.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Attention with Multiple Sources Knowledges for COVID-19 from CT Images.

[BibT_eX]

[DOI]

CoRR, 2020

A Visually Explainable Learning System for Skin Lesion Detection Using Multiscale Input with Attention U-Net.

[BibT_eX]

[DOI]

Duy Minh Ho Nguyen

Abraham Obinwanne Ezema

Fabrizio Nunnari

Daniel Sonntag

Proceedings of the KI 2020: Advances in Artificial Intelligence, 2020

2019

An active learning framework for set inversion.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Automatically Generate Hymns Using Variational Attention Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

2018

OASIS: An Active Framework for Set Inversion.

[BibT_eX]

[DOI]

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018

2017

3D-Brain Segmentation Using Deep Neural Network and Gaussian Mixture Model.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

2016

Fast learning rates with heavy-tailed losses.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Theory and Applications of Models of Computation, 2015

Duy M. H. Nguyen

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