185 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Harbin Institute of TechnologyCN5 papers
- Universidad de GranadaES3 papers
- National Dong Hwa UniversityTW2 papers
- University of Illinois ChicagoUS2 papers
- University of Technology MalaysiaMY2 papers
- Western Norway University of Applied SciencesNO2 papers
- East China Normal UniversityCN1 paper
- High Energy Accelerator Research OrganizationJP1 paper
- HUTECH University1 paper
- Instituto Andaluz de Ciencias de la TierraES1 paper
- International Islamic University MalaysiaMY1 paper
- International University College Of TechnologyMY1 paper
11 papers · 1 filter
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…
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…
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…
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…
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…
Exploring CNN-based models for image's aesthetic score prediction with using ensemble
Ying Dai
In this paper, we proposed a framework of constructing two types of the automatic image aesthetics assessment models with different CNN architectures and improving the performance…
Exploring to establish an appropriate model for image aesthetic assessment via CNN-based RSRL: An empirical study
Ying Dai
To establish an appropriate model for photo aesthetic assessment, in this paper, a D-measure which reflects the disentanglement degree of the final layer FC nodes of CNN is introdu…
CNN-based Repetitive self-revised learning for photos' aesthetics imbalanced classification
Ying Dai
Aesthetic assessment is subjective, and the distribution of the aesthetic levels is imbalanced. In order to realize the auto-assessment of photo aesthetics, we focus on using repet…
Sample-specific repetitive learning for photo aesthetic assessment and highlight region extraction
Ying Dai
Aesthetic assessment is subjective, and the distribution of the aesthetic levels is imbalanced. In order to realize the auto-assessment of photo aesthetics, we focus on retraining…
Learning Reinforced Attentional Representation for End-to-End Visual Tracking
Peng Gao, Qiquan Zhang, Fei Wang +3
Although numerous recent tracking approaches have made tremendous advances in the last decade, achieving high-performance visual tracking remains a challenge. In this paper, we pro…
Siamese Attentional Keypoint Network for High Performance Visual Tracking
Peng Gao, Ruyue Yuan, Fei Wang +3
In this paper, we investigate the impacts of three main aspects of visual tracking, i.e., the backbone network, the attentional mechanism, and the detection component, and propose…