activity
20222025
most citedSAFL: A Self-Attention Scene Text Recognizer with Focal Loss

5 citations · 9 across the 13 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era

Thanh Tam Nguyen, Zhao Ren, Trinh Pham +4

The rapid advancement of large language models (LLMs) and multimodal learning has transformed digital content creation and manipulation. Traditional visual editing tools require si…

cs.CV2023

FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection

Thuy Dung Nguyen, Anh Duy Nguyen, Kok-Seng Wong +4

Federated learning (FL) enables multiple clients to train a model without compromising sensitive data. The decentralized nature of FL makes it susceptible to adversarial attacks, e…

cs.CV2023

High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion

Anh Duy Nguyen, Huy Hieu Pham, Huynh Thanh Trung +3

Due to the significant resemblance in visual appearance, pill misuse is prevalent and has become a critical issue, responsible for one-third of all deaths worldwide. Pill identific…

cs.CV2022

A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning

Trung Thanh Nguyen, Hoang Dang Nguyen, Thanh Hung Nguyen +3

Medication mistaking is one of the risks that can result in unpredictable consequences for patients. To mitigate this risk, we develop an automatic system that correctly identifies…

cs.CV2022

Image-based Contextual Pill Recognition with Medical Knowledge Graph Assistance

Anh Duy Nguyen, Thuy Dung Nguyen, Huy Hieu Pham +2

Identifying pills given their captured images under various conditions and backgrounds has been becoming more and more essential. Several efforts have been devoted to utilizing the…

cs.CV20225 cited

SAFL: A Self-Attention Scene Text Recognizer with Focal Loss

Bao Hieu Tran, Thanh Le-Cong, Huu Manh Nguyen +3

In the last decades, scene text recognition has gained worldwide attention from both the academic community and actual users due to its importance in a wide range of applications.…