output
20042025
most citedA review on application of data mining techniques to combat natural disasters

185 citations

19 papers

cs.CV2025★ 4 cited

CORE-ReID V2: Advancing the Domain Adaptation for Object Re-Identification with Optimized Training and Ensemble Fusion

Trinh Quoc Nguyen, Oky Dicky Ardiansyah Prima, Syahid Al Irfan +2

This study presents CORE-ReID V2, an enhanced framework building upon CORE-ReID. The new framework extends its predecessor by addressing Unsupervised Domain Adaptation (UDA) challe…

cs.CV2025★ 7 cited

CORE-ReID: Comprehensive Optimization and Refinement through Ensemble fusion in Domain Adaptation for person re-identification

Trinh Quoc Nguyen, Oky Dicky Ardiansyah Prima, Katsuyoshi Hotta

This study introduces a novel framework, "Comprehensive Optimization and Refinement through Ensemble Fusion in Domain Adaptation for Person Re-identification (CORE-ReID)", to addre…

cs.CV2024

Exploring PCA-based feature representations of image pixels via CNN to enhance food image segmentation

Ying Dai

For open vocabulary recognition of ingredients in food images, segmenting the ingredients is a crucial step. This paper proposes a novel approach that explores PCA-based feature re…

cs.LG2024★ 1 cited

Critical Review for One-class Classification: recent advances and the reality behind them

Toshitaka Hayashi, Dalibor Cimr, Hamido Fujita +1

This paper offers a comprehensive review of one-class classification (OCC), examining the technologies and methodologies employed in its implementation. It delves into various appr…

cs.CV2024★ 21 cited

In Defense and Revival of Bayesian Filtering for Thermal Infrared Object Tracking

Peng Gao, Shi-Min Li, Feng Gao +3

Deep learning-based methods monopolize the latest research in the field of thermal infrared (TIR) object tracking. However, relying solely on deep learning models to obtain better…

cs.CV2024★ 3 cited

Recognizing Multiple Ingredients in Food Images Using a Single-Ingredient Classification Model

Kun Fu, Ying Dai

Recognizing food images presents unique challenges due to the variable spatial layout and shape changes of ingredients with different cooking and cutting methods. This study introd…