Search Results for author: Duy M. H. Nguyen

Found 8 papers, 1 papers with code

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

no code implementations3 Feb 2024 Duy M. H. Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert

Contrary to prior work, we propose a novel 2D--3D aggregation mechanism based on a differentiable solver for the \emph{Fused Gromov-Wasserstein Barycenter} problem and the use of an efficient online conformer generation method based on distance geometry.

Molecular Property Prediction Property Prediction

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

1 code implementation NeurIPS 2023 Duy M. H. Nguyen, Hoang Nguyen, Nghiem T. Diep, Tan N. Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert

While pre-trained deep networks on ImageNet and vision-language foundation models trained on web-scale data are prevailing approaches, their effectiveness on medical tasks is limited due to the significant domain shift between natural and medical images.

Contrastive Learning Diabetic Retinopathy Grading +3

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

no code implementations4 Dec 2022 Duy M. H. Nguyen, Hoang Nguyen, Mai T. N. Truong, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag

Recent breakthroughs in self-supervised learning (SSL) offer the ability to overcome the lack of labeled training samples by learning feature representations from unlabeled data.

Brain Segmentation Clustering +3

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

no code implementations CVPR 2022 Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda

Multi-Camera Multi-Object Tracking is currently drawing attention in the computer vision field due to its superior performance in real-world applications such as video surveillance in crowded scenes or in wide spaces.

Multi-Object Tracking Multiple Object Tracking

TATL: Task Agnostic Transfer Learning for Skin Attributes Detection

no code implementations4 Apr 2021 Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag

Existing skin attributes detection methods usually initialize with a pre-trained Imagenet network and then fine-tune on a medical target task.

Attribute Transfer Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.