output
20022026
most citedThe Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package

7.7k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2025 · cs.CVShow all

17 papers · 2 filters

cs.CV2025

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…

cs.CV2025

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,…

cs.CV2025★ 3 cited

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…

cs.CV2025

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…

cs.CV2025★ 2 cited

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…

cs.CV2025★ 2 cited

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.…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025★ 2 cited

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…

cs.CV2025★ 2 cited

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…

cs.CV2025★ 2 cited

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…

cs.CV2025★ 2 cited

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…

cs.CV2025★ 1 cited

Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation

Doanh C. Bui, Hoai Luan Pham, Vu Trung Duong Le +4

Whole Slide Images (WSIs) play a crucial role in accurate cancer diagnosis and prognosis, as they provide tissue details at the cellular level. However, the rapid growth of computa…

cs.CV2025★ 3 cited

From Visual Explanations to Counterfactual Explanations with Latent Diffusion

Tung Luu, Nam Le, Duc Le +1

Visual counterfactual explanations are ideal hypothetical images that change the decision-making of the classifier with high confidence toward the desired class while remaining vis…

cs.CV2025

Triply Laplacian Scale Mixture Modeling for Seismic Data Noise Suppression

Sirui Pan, Zhiyuan Zha, Shigang Wang +6

Sparsity-based tensor recovery methods have shown great potential in suppressing seismic data noise. These methods exploit tensor sparsity measures capturing the low-dimensional st…

cs.CV2025★ 1 cited

MEX: Memory-efficient Approach to Referring Multi-Object Tracking

Huu-Thien Tran, Phuoc-Sang Pham, Thai-Son Tran +1

Referring Multi-Object Tracking (RMOT) is a relatively new concept that has rapidly gained traction as a promising research direction at the intersection of computer vision and nat…

cs.CV2025★ 28 cited

QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical Images

Thien B. Nguyen-Tat, Hoang-An Vo, Phuoc-Sang Dang

The deployment of advanced deep learning models for medical image segmentation is often constrained by the requirement for extensively annotated datasets. Weakly-supervised learnin…