Duy M. H. Nguyen

According to our database, Duy M. H. Nguyen authored at least 23 papers between 2015 and 2024.

Collaborative distances:

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

2024

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

Duy M. H. Nguyen, An T. Le, Trung Q. Nguyen, Nghiem T. Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag

CoRR, 2024

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

Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag

CoRR, 2024

Accelerating Transformers with Spectrum-Preserving Token Merging.

Hoai-Chau Tran, Duy M. H. Nguyen, Duy M. Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Y. Zou, Binh T. Nguyen, Mathias Niepert

CoRR, 2024

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

Duy Minh Ho Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert

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.

Duy Minh Ho Nguyen, Tan Ngoc Pham, Nghiem Tuong Diep, Nghi Quoc Phan, Quang Pham, Vinh Tong, Binh T. Nguyen, Ngan Hoang Le, Nhat Ho, Pengtao Xie, Daniel Sonntag, Mathias Niepert

CoRR, 2023

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

Duy M. H. Nguyen, Hoang Nguyen, Nghiem Tuong Diep, Tan Ngoc Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert

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.

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.

Duy M. H. Nguyen, Hoang Nguyen, Truong Thanh Nhat Mai, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag

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

2022

TATL: Task agnostic transfer learning for skin attributes detection.

Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag

Medical Image Anal., 2022

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

Duy M. H. Nguyen, Duy M. Nguyen, Truong Thanh Nhat Mai, Thu Nguyen, Khanh T. Tran, Anh Triet Nguyen, Bao T. Pham, Binh T. Nguyen

Inf. Sci., 2022

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

Hasan Md Tusfiqur Alam, Duy M. H. Nguyen, Mai Thanh Nhat Truong, Triet A. Nguyen, Binh T. Nguyen, Michael Barz, Hans-Jürgen Profitlich, Ngoc T. T. Than, Ngan Le, Pengtao Xie, Daniel Sonntag

CoRR, 2022

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

Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda

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

2021

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

Thu Nguyen, Duy M. H. Nguyen, Huy Nguyen, Binh T. Nguyen, Bruce A. Wade

Inf. Sci., 2021

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

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.

Lam Si Tung Ho, Binh T. Nguyen, Vu C. Dinh, Duy M. H. Nguyen

Inf. Sci., 2020

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

Duy M. H. Nguyen, Huong Vu, Binh T. Nguyen, Fabrizio Nunnari, Daniel Sonntag

CoRR, 2020

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

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.

Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh

Knowl. Based Syst., 2019

Automatically Generate Hymns Using Variational Attention Models.

Han K. Cao, Duyen T. Ly, Duy M. H. Nguyen, Binh T. Nguyen

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

2018

OASIS: An Active Framework for Set Inversion.

Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh

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.

Duy M. H. Nguyen, Huy T. Vu, Quang Huy Ung, Binh T. Nguyen

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

2016

Fast learning rates with heavy-tailed losses.

Vu C. Dinh, Lam Si Tung Ho, Binh T. Nguyen, Duy M. H. Nguyen

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.

Vu C. Dinh, Lam Si Tung Ho, Viet Cuong Nguyen, Duy M. H. Nguyen, Binh T. Nguyen

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