753 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Vietnam National University Ho Chi Minh CityVN125 papers
- Ho Chi Minh City University of EducationVN14 papers
- Ho Chi Minh City University of TechnologyVN13 papers
- Ton Duc Thang UniversityVN12 papers
- Duy Tan UniversityVN11 papers
- Vietnam Academy of Science and TechnologyVN11 papers
- Institute for Nuclear Science and TechnologyVN9 papers
- Ho Chi Minh City International UniversityVN8 papers
- University of Medicine and Pharmacy at Ho Chi Minh CityVN8 papers
- Institute for Basic ScienceKR7 papers
- University of DaytonUS7 papers
- Viện Vật lýVN7 papers
26 papers · 1 filter
Vision And Text Transformer For Predicting Answerability On Visual Question Answering
Tung Le, Huy Tien Nguyen, Le Minh Nguyen
Answerability on Visual Question Answering is a novel and attractive task to predict answerable scores between images and questions in multi-modal data. Existing works often utiliz…
Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning
Ha-Hieu Pham, Hai-Dang Nguyen, Thanh-Huy Nguyen +4
Chest X-Ray (CXR) classification in clinical practice is often limited by imperfect supervision, arising from (i) extreme long-tailed multi-label disease distributions and (ii) mis…
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…
Towards Reliable Human Evaluations in Gesture Generation: Insights from a Community-Driven State-of-the-Art Benchmark
Rajmund Nagy, Hendric Voss, Thanh Hoang-Minh +18
We review human evaluation practices in automatic, speech-driven 3D gesture generation and find a lack of standardisation and frequent use of flawed experimental setups. This leads…
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…
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.…
MSC: A Marine Wildlife Video Dataset with Grounded Segmentation and Clip-Level Captioning
Quang-Trung Truong, Yuk-Kwan Wong, Vo Hoang Kim Tuyen Dang +3
Marine videos present significant challenges for video understanding due to the dynamics of marine objects and the surrounding environment, camera motion, and the complexity of und…
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…
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…
OpenEvents V1: Large-Scale Benchmark Dataset for Multimodal Event Grounding
Hieu Nguyen, Phuc-Tan Nguyen, Thien-Phuc Tran +4
We introduce OpenEvents V1a large-scale benchmark dataset designed to advance event-centric vision-language understanding. Unlike conventional image captioning and retrieval datase…
Advancing Vietnamese Visual Question Answering with Transformer and Convolutional Integration
Ngoc Son Nguyen, Van Son Nguyen, Tung Le
Visual Question Answering (VQA) has recently emerged as a potential research domain, captivating the interest of many in the field of artificial intelligence and computer vision. D…
Cluster-based Video Summarization with Temporal Context Awareness
Hai-Dang Huynh-Lam, Ngoc-Phuong Ho-Thi, Minh-Triet Tran +1
In this paper, we present TAC-SUM, a novel and efficient training-free approach for video summarization that addresses the limitations of existing cluster-based models by incorpora…
Ensemble Learning for Vietnamese Scene Text Spotting in Urban Environments
Hieu Nguyen, Cong-Hoang Ta, Phuong-Thuy Le-Nguyen +2
This paper presents a simple yet efficient ensemble learning framework for Vietnamese scene text spotting. Leveraging the power of ensemble learning, which combines multiple models…
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
Gregory Holste, Yiliang Zhou, Song Wang +22
Many real-world image recognition problems, such as diagnostic medical imaging exams, are "long-tailed" $\unicode{x2013}$ there are a few common findings followed by many more rela…
The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation
Thanh-Danh Nguyen, Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen +5
Camouflaged object detection and segmentation is a new and challenging research topic in computer vision. There is a serious issue of lacking data on concealed objects such as camo…
ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation
Khoa Vo, Kashu Yamazaki, Sang Truong +3
Temporal action proposal generation (TAPG) aims to estimate temporal intervals of actions in untrimmed videos, which is a challenging yet plays an important role in many tasks of v…
Anabranch Network for Camouflaged Object Segmentation
Trung-Nghia Le, Tam V. Nguyen, Zhongliang Nie +2
Camouflaged objects attempt to conceal their texture into the background and discriminating them from the background is hard even for human beings. The main objective of this paper…
Camouflaged Instance Segmentation In-The-Wild: Dataset, Method, and Benchmark Suite
Trung-Nghia Le, Yubo Cao, Tan-Cong Nguyen +5
This paper pushes the envelope on decomposing camouflaged regions in an image into meaningful components, namely, camouflaged instances. To promote the new task of camouflaged inst…
MirrorNet: Bio-Inspired Camouflaged Object Segmentation
Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen +3
Camouflaged objects are generally difficult to be detected in their natural environment even for human beings. In this paper, we propose a novel bio-inspired network, named the Mir…
Recognizing Families through Images with Pretrained Encoder
Tuan-Duy H. Nguyen, Huu-Nghia H. Nguyen, Hieu Dao
Kinship verification and kinship retrieval are emerging tasks in computer vision. Kinship verification aims at determining whether two facial images are from related people or not,…
Image Alignment in Unseen Domains via Domain Deep Generalization
Thanh-Dat Truong, Khoa Luu, Chi Nhan Duong +2
Image alignment across domains has recently become one of the realistic and popular topics in the research community. In this problem, a deep learning-based image alignment method…
ASMCNN: An Efficient Brain Extraction Using Active Shape Model and Convolutional Neural Networks
Duy H. M. Nguyen, Duy M. Nguyen, Mai T. N. Truong +5
Brain extraction (skull stripping) is a challenging problem in neuroimaging. It is due to the variability in conditions from data acquisition or abnormalities in images, making bra…