7.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Kiet Van Nguyen3 profiles21 · h 21
- N. Nguyen17 · h 22
- Son T. Luu2 profiles17 · h 10
- Nguyen Tri Toan Phuc2 profiles14 · h 4
- Quan M. Nguyen13 · h 9
- Trung-Nghia Le2 profiles12 · h 17
- Minh-Triet Tran3 profiles9 · h 11
- Tam V. Nguyen2 profiles9 · h 30
- A. Peleg8 · h 15
- Dieu D. Nguyen8 · h 13
- M. Tran2 profiles8 · h 24
- Phong Quoc Vo8 · h 2
- Ho Chi Minh City University of ScienceVN125 papers
- Ho Chi Minh City University of TechnologyVN29 papers
- Ho Chi Minh City International UniversityVN26 papers
- Ho Chi Minh City University of EducationVN14 papers
- Vietnam Academy of Science and TechnologyVN14 papers
- Centre National de la Recherche ScientifiqueFR10 papers
- The University of TokyoJP10 papers
- Institute for Nuclear Science and TechnologyVN9 papers
- University of DaytonUS9 papers
- Vietnam National University, HanoiVN9 papers
- Tohoku UniversityJP8 papers
- Ton Duc Thang UniversityVN8 papers
40 papers · 1 filter
The SPHEREx Satellite Mission
James J. Bock, Asad M. Aboobaker, Joseph Adamo +111
SPHEREx, a NASA explorer satellite launched on 11 March 2025, is carrying out the first all-sky near-infrared spectral survey. The satellite observes in 102 spectral bands from 0.7…
Robust In-the-Wild Exercise Recognition from a Single Wearable: Data-Side Fusion, Sensor Rotation, and Feature Engineering
Hoang Khang Phan, Khang Le, Tu Nhat Khang Nguyen +2
Monitoring physical exercises is vital for health promotion, with automated systems becoming standard in personal health surveillance. However, sensor placement variability and unc…
Flexible Genetic Algorithm for Quantum Support Vector Machines
Nguyen Minh Duc, Vu Tuan Hai, Le Bin Ho +1
Quantum Support Vector Machines (QSVM) is one of the most promising frameworks in quantum machine learning, yet their performance depends on the design of the feature map. Conventi…
Vortex patterns of a two-dimensional Bose-Einstein condensate at the almost critical rotation speed
Bao-Duy Le, Dinh-Thi Nguyen
We study vortex patterns of a two-dimensional Bose-Einstein condensate rotating close to the centrifugal limit, treating the two signs of the contact interaction with the method ea…
Fusionista2.0: Efficiency Retrieval System for Large-Scale Datasets
Huy M. Le, Dat Tien Nguyen, Phuc Binh Nguyen +8
The Video Browser Showdown (VBS) challenges systems to deliver accurate results under strict time constraints. To meet this demand, we present Fusionista2.0, a streamlined video re…
Detecting Intermediate-Mass Black Holes out to 20 Mpc with ELT/HARMONI: The Case of FCC 119
Hai N. Ngo, Dieu D. Nguyen, Tinh T. Q. Le +3
Intermediate-mass black holes (IMBHs; ) play a critical role in understanding the formation of supermassive black holes in the early universe. In t…
Wariness and Poverty Traps
Hai Ha Pham, Ngoc-Sang Pham
We investigate the effects of wariness (defined as individuals' concern for their minimum utility over time) on poverty traps and equilibrium multiplicity in an overlapping generat…
Comparative Study of UNet-based Architectures for Liver Tumor Segmentation in Multi-Phase Contrast-Enhanced Computed Tomography
Doan-Van-Anh Ly, Thanh-Hai Le, Thi-Thu-Hien Pham
Segmentation of liver structures in multi-phase contrast-enhanced computed tomography (CECT) plays a crucial role in computer-aided diagnosis and treatment planning. In this study,…
SHREC 2025: Protein surface shape retrieval including electrostatic potential
Taher Yacoub, Camille Depenveiller, Atsushi Tatsuma +25
This SHREC 2025 track dedicated to protein surface shape retrieval involved 9 participating teams. We evaluated the performance in retrieval of 15 proposed methods on a large datas…
Formal Reasoning for Intelligent QA Systems: A Case Study in the Educational Domain
Tuan Bui, An Nguyen, Phat Thai +8
Reasoning is essential for closed-domain QA systems in which procedural correctness and policy compliance are critical. While large language models (LLMs) have shown strong perform…
Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation
Ha-Hieu Pham, Minh Le, Han Huynh +2
Semi-supervised semantic segmentation (SSSS) is vital in computational pathology, where dense annotations are costly and limited. Existing methods often rely on pixel-level consist…
Online 3D Multi-Camera Perception through Robust 2D Tracking and Depth-based Late Aggregation
Vu-Minh Le, Thao-Anh Tran, Duc Huy Do +3
Multi-Target Multi-Camera Tracking (MTMC) is an essential computer vision task for automating large-scale surveillance. With camera calibration and depth information, the targets i…
Measurement of muon neutrino induced charged current interactions without charged pions in the final state using a new T2K off-axis near detector WAGASCI-BabyMIND
K. Abe, S. Abe, R. Akutsu +398
We report a flux-integrated cross section measurement of muon neutrino interactions on water and hydrocarbon via charged current reactions without charged pions in the final state…
A Re-ranking Method using K-nearest Weighted Fusion for Person Re-identification
Huy Che, Le-Chuong Nguyen, Gia-Nghia Tran +2
In person re-identification, re-ranking is a crucial step to enhance the overall accuracy by refining the initial ranking of retrieved results. Previous studies have mainly focused…
ReCap: Event-Aware Image Captioning with Article Retrieval and Semantic Gaussian Normalization
Thinh-Phuc Nguyen, Thanh-Hai Nguyen, Gia-Huy Dinh +3
Image captioning systems often produce generic descriptions that fail to capture event-level semantics which are crucial for applications like news reporting and digital archiving.…
Multi-Level CLS Token Fusion for Contrastive Learning in Endoscopy Image Classification
Y Hop Nguyen, Doan Anh Phan Huu, Trung Thai Tran +4
We present a unified vision-language framework tailored for ENT endoscopy image analysis that simultaneously tackles three clinically-relevant tasks: image classification, image-to…
EVENT-Retriever: Event-Aware Multimodal Image Retrieval for Realistic Captions
Dinh-Khoi Vo, Van-Loc Nguyen, Minh-Triet Tran +1
Event-based image retrieval from free-form captions presents a significant challenge: models must understand not only visual features but also latent event semantics, context, and…
Event-Enriched Image Analysis Grand Challenge at ACM Multimedia 2025
Thien-Phuc Tran, Minh-Quang Nguyen, Minh-Triet Tran +7
The Event-Enriched Image Analysis (EVENTA) Grand Challenge, hosted at ACM Multimedia 2025, introduces the first large-scale benchmark for event-level multimodal understanding. Trad…
Rare few-body decays of the Standard Model Higgs boson
David d'Enterria, Van Dung Le
We present a survey of rare and exclusive few-body decays of the standard model (SM) Higgs boson, defined as those into two to four final particles with branching fractions $\mathc…
Co-NAML-LSTUR: A Combined Model with Attentive Multi-View Learning and Long- and Short-term User Representations for News Recommendation
Minh Hoang Nguyen, Thuat Thien Nguyen, Minh Nhat Ta +2
News recommendation systems play a critical role in alleviating information overload by delivering personalized content. A key challenge lies in jointly modeling multi-view represe…
Person Re-Identification System at Semantic Level based on Pedestrian Attributes Ontology
Ngoc Q. Ly, Hieu N. M. Cao, Thi T. Nguyen
Person Re-Identification (Re-ID) is a very important task in video surveillance systems such as tracking people, finding people in public places, or analysing customer behavior in…
Recent Advances in Medical Image Classification
Loan Dao, Ngoc Quoc Ly
Medical image classification is crucial for diagnosis and treatment, benefiting significantly from advancements in artificial intelligence. The paper reviews recent progress in the…
A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks
Loan Dao, Ngoc Quoc Ly
Over the past decade, Medical Image Segmentation (MIS) using Deep Neural Networks (DNNs) has achieved significant performance improvements and holds great promise for future develo…
FA-Seg: A Fast and Accurate Diffusion-Based Method for Open-Vocabulary Segmentation
Huy Che, Vinh-Tiep Nguyen
Open-vocabulary semantic segmentation (OVSS) aims to segment objects from arbitrary text categories without requiring densely annotated datasets. Although contrastive learning base…