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Duy M. H. Nguyen
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2020 – today
- 2024
- [i10]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 abs/2402.01975 (2024) - 2023
- [c9]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: 14426-14435 - [c8]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 - [i9]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. CoRR abs/2306.11925 (2023) - 2022
- [j5]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:
ASMCNN: An efficient brain extraction using active shape model and convolutional neural networks. Inf. Sci. 591: 25-48 (2022) - [j4]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: 102359 (2022) - [c7]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: 8856-8865 - [i8]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 abs/2212.01893 (2022) - [i7]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 abs/2212.14615 (2022) - 2021
- [j3]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: 1-22 (2021) - [c6]Duy M. H. Nguyen, Truong Thanh Nhat Mai, Ngoc T. T. Than, Alexander Prange, Daniel Sonntag:
Self-supervised Domain Adaptation for Diabetic Retinopathy Grading Using Vessel Image Reconstruction. KI 2021: 349-361 - [i6]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 abs/2104.01641 (2021) - [i5]Duy M. H. Nguyen, Truong Thanh Nhat Mai, Ngoc T. T. Than, Alexander Prange, Daniel Sonntag:
Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction. CoRR abs/2107.09372 (2021) - [i4]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 abs/2111.11892 (2021) - 2020
- [j2]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: 372-383 (2020) - [i3]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 abs/2009.11008 (2020) - [i2]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 abs/2009.11360 (2020)
2010 – 2019
- 2019
- [j1]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) - [c5]Han K. Cao, Duyen T. Ly, Duy M. H. Nguyen, Binh T. Nguyen:
Automatically Generate Hymns Using Variational Attention Models. ISNN (2) 2019: 317-327 - 2018
- [c4]Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh:
OASIS: An Active Framework for Set Inversion. SoMeT 2018: 883-895 - 2017
- [c3]Duy M. H. Nguyen, Huy T. Vu, Quang Huy Ung, Binh T. Nguyen:
3D-Brain Segmentation Using Deep Neural Network and Gaussian Mixture Model. WACV 2017: 815-824 - 2016
- [c2]Vu C. Dinh, Lam Si Tung Ho, Binh T. Nguyen, Duy M. H. Nguyen:
Fast learning rates with heavy-tailed losses. NIPS 2016: 505-513 - [i1]Vu C. Dinh, Lam Si Tung Ho, Duy M. H. Nguyen, Binh T. Nguyen:
Fast learning rates with heavy-tailed losses. CoRR abs/1609.09481 (2016) - 2015
- [c1]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: 375-387
Coauthor Index
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last updated on 2024-04-25 02:31 CEST by the dblp team
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