most citedEnhancing person re-identification via Uncertainty Feature Fusion Method and Auto-weighted Measure Combination

20 citations · 35 across the 6 of their papers we have counts for

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cs.CV2025★ 8 cited

TriLiteNet: Lightweight Model for Multi-Task Visual Perception

Quang-Huy Che, Duc-Khai Lam

Efficient perception models are essential for Advanced Driver Assistance Systems (ADAS), as these applications require rapid processing and response to ensure safety and effectiven…

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

FaR: Enhancing Multi-Concept Text-to-Image Diffusion via Concept Fusion and Localized Refinement

Gia-Nghia Tran, Quang-Huy Che, Trong-Tai Dam Vu +4

Generating multiple new concepts remains a challenging problem in the text-to-image task. Current methods often overfit when trained on a small number of samples and struggle with…

cs.CV2024★ 5 cited

Enhanced Generative Data Augmentation for Semantic Segmentation via Stronger Guidance

Quang-Huy Che, Duc-Tri Le, Bich-Nga Pham +2

Data augmentation is crucial for pixel-wise annotation tasks like semantic segmentation, where labeling requires significant effort and intensive labor. Traditional methods, involv…

cs.CV2024★ 20 cited

Enhancing person re-identification via Uncertainty Feature Fusion Method and Auto-weighted Measure Combination

Quang-Huy Che, Le-Chuong Nguyen, Duc-Tuan Luu +1

Person re-identification (Re-ID) is a challenging task that involves identifying the same person across different camera views in surveillance systems. Current methods usually rely…

cs.CV2024

TwinLiteNet+: An Enhanced Multi-Task Segmentation Model for Autonomous Driving

Quang-Huy Che, Duc-Tri Le, Minh-Quan Pham +2

Semantic segmentation is a fundamental perception task in autonomous driving, particularly for identifying drivable areas and lane markings to enable safe navigation. However, most…