Index for ghim

Ghim, Y.S.[Young Sung] * 2020: Estimation of Surface Concentrations of Black Carbon from Long-Term Measurements at Aeronet Sites over Korea

Ghimire, A.[Adarsh] * 2022: Underwater Image Enhancement Using Pre-trained Transformer
* 2023: Robot-Person Tracking in Uniform Appearance Scenarios: A New Dataset and Challenges

Ghimire, B. * 2012: assessment of the effectiveness of a random forest classifier for land-cover classification, An

Ghimire, C.[Chandra] * 2020: Irrigation Control through Acoustic Proximal Sensing of the Onset of Surface Water

Ghimire, D.[Deepak] * 2010: Color Image Enhancement in HSV Space Using Nonlinear Transfer Function and Neighborhood Dependent Approach with Preserving Details
* 2011: Nonlinear Transfer Function-Based Image Detail Preserving Dynamic Range Compression for Color Image Enhancement
* 2017: Facial Expression Recognition Using Local Region Specific Dense Optical Flow and LBP Features
* 2023: Loss-aware automatic selection of structured pruning criteria for deep neural network acceleration

Ghimire, M.N.[Mukti Nath] * 2010: Discrete visual features modeling via leave-one-out likelihood estimation and applications

Ghimire, P.[Prakash] * 2020: Effect of Image Fusion on Vegetation Index Quality: A Comparative Study from Gaofen-1, Gaofen-2, Gaofen-4, Landsat-8 OLI and MODIS Imagery
* 2020: Experimental Evaluation and Consistency Comparison of UAV Multispectral Minisensors

Ghimire, S. * 2017: Impact Assessment of Mikania Micrantha On Land Cover And Maxent Modeling to Predict Its Potential Invasion Sites
* 2019: Noninvasive Reconstruction of Transmural Transmembrane Potential With Simultaneous Estimation of Prior Model Error
* 2020: Using Blockchain for Improved Video Integrity Verification

Ghimpe, G.[Gabriela] * 2014: Denoising an Image by Denoising Its Components in a Moving Frame

Ghimpeteanu, G. * 2016: Decomposition Framework for Image Denoising Algorithms, A
* 2016: Local denoising based on curvature smoothing can visually outperform non-local methods on photographs with actual noise

Index for "g"


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