Duy M. H. Nguyen

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 26

Top Topics

Active Learning

Brain Segmentation

Diabetic Retinopathy

Top Venues

Publications

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
Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. CoRR (2024)
Duy M. H. Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. CoRR (2024)
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
Accelerating Transformers with Spectrum-Preserving Token Merging. CoRR (2024)
Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag
I-MPN: Inductive Message Passing Network for Effective and Efficient Human-in-the-Loop Annotation of Mobile Eye Tracking Data. CoRR (2024)
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
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. NeurIPS (2023)
Duy M. H. Nguyen, Hoang Nguyen, Nghiem Diep, Tan N. Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. CoRR (2023)
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
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering. AAAI (2023)
Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. CVPR (2022)
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
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading. CoRR (2022)
Duy M. H. Nguyen, Duy M. Nguyen, Truong T. N. Mai, Thu Nguyen, Khanh T. Tran, Anh Triet Nguyen, Bao T. Pham, Binh T. Nguyen
ASMCNN: An efficient brain extraction using active shape model and convolutional neural networks. Inf. Sci. 591 (2022)
Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag
TATL: Task agnostic transfer learning for skin attributes detection. Medical Image Anal. 78 (2022)
Duy M. H. Nguyen, Hoang Nguyen, Mai Thanh Nhat Truong, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering. CoRR (2022)
Thu Nguyen, Duy M. H. Nguyen, Huy Nguyen, Binh T. Nguyen, Bruce A. Wade
EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data. Inf. Sci. 567 (2021)
Duy M. H. Nguyen, Truong T. N. Mai, Ngoc T. T. Than, Alexander Prange, Daniel Sonntag
Self-supervised Domain Adaptation for Diabetic Retinopathy Grading Using Vessel Image Reconstruction. KI (2021)
Duy M. H. Nguyen, Truong T. N. Mai, Ngoc T. T. Than, Alexander Prange, Daniel Sonntag
Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction. CoRR (2021)
Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. CoRR (2021)
Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag
TATL: Task Agnostic Transfer Learning for Skin Attributes Detection. CoRR (2021)
Thu Nguyen, Duy M. H. Nguyen, Huy Nguyen, Binh T. Nguyen, Bruce A. Wade
EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data. CoRR (2020)
Lam Si Tung Ho, Binh T. Nguyen, Vu C. Dinh, Duy M. H. Nguyen
Posterior concentration and fast convergence rates for generalized Bayesian learning. Inf. Sci. 538 (2020)
Duy M. H. Nguyen, Huong Vu, Binh T. Nguyen, Fabrizio Nunnari, Daniel Sonntag
Attention with Multiple Sources Knowledges for COVID-19 from CT Images. CoRR (2020)
Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh
An active learning framework for set inversion. Knowl. Based Syst. 185 (2019)
Han K. Cao, Duyen T. Ly, Duy M. H. Nguyen, Binh T. Nguyen
Automatically Generate Hymns Using Variational Attention Models. ISNN (2) (2019)
Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh
OASIS: An Active Framework for Set Inversion. SoMeT (2018)
Duy M. H. Nguyen, Huy T. Vu, Huy Q. Ung, Binh T. Nguyen
3D-Brain Segmentation Using Deep Neural Network and Gaussian Mixture Model. WACV (2017)
Vu C. Dinh, Lam Si Tung Ho, Binh T. Nguyen, Duy M. H. Nguyen
Fast learning rates with heavy-tailed losses. NIPS (2016)
Vu C. Dinh, Lam Si Tung Ho, Duy M. H. Nguyen, Binh T. Nguyen
Fast learning rates with heavy-tailed losses. CoRR (2016)
Vu C. Dinh, Lam Si Tung Ho, Viet Cuong Nguyen, Duy M. H. Nguyen, Binh T. Nguyen
Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers. TAMC (2015)