Chuda, J.[Juliana]
* 2020: Comparison of Stem Curve Accuracy Determined from Point Clouds Acquired by Different Terrestrial Remote Sensing Methods, The
* 2020: Handheld Mobile Laser Scanners As A Tool for Accurate Positioning Under Forest Canopy, The
* 2020: Influence of Cross-Section Thickness on Diameter at Breast Height Estimation from Point Cloud, The
Includes: Chuda, J.[Juliana] Chudá, J.[Juliána] Chudá, J. Chudá, J.[Juliana]
Chudasama, V.[Vishal]
* 2020: E-ProSRNet: An enhanced progressive single image super-resolution approach
* 2020: TherISuRNet: A Computationally Efficient Thermal Image Super-Resolution Network
* 2020: Thermal Image Super-Resolution Challenge - PBVS 2020
* 2020: Unsupervised Real-world Super-resolution Using Variational Auto-encoder and Generative Adversarial Network
* 2020: Unsupervised Single Image Super-Resolution Network (USISResNet) for Real-World Data Using Generative Adversarial Network
* 2021: Channel Split Convolutional Neural Network (ChaSNet) for Thermal Image Super-Resolution
* 2021: Channel Split Convolutional Neural Network for Single Image Super-Resolution (CSISR)
* 2021: Direct Unsupervised Super-Resolution Using Generative Adversarial Network (DUS-GAN) for Real-World Data
* 2021: Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report
* 2021: NTIRE 2021 Learning the Super-Resolution Space Challenge
* 2021: NTIRE 2021 NonHomogeneous Dehazing Challenge Report
* 2021: Thermal Image Super-Resolution Challenge - PBVS 2021
* 2022: M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation
* 2023: Revisiting Class Imbalance for End-to-end Semi-Supervised Object Detection
* 2024: Open-Set Object Detection By Aligning Known Class Representations
Includes: Chudasama, V.[Vishal] Chudasama, V.
15 for Chudasama, V.
Chudasama, V.M.
* 2017: automatic detection of helmeted and non-helmeted motorcyclist with license plate extraction using convolutional neural network, An
Chudnovsky, A.[Alexandra]
* 2014: Spectral Slope as an Indicator of Pasture Quality
* 2015: Estimating Pasture Quality of Fresh Vegetation Based on Spectral Slope of Mixed Data of Dry and Fresh Vegetation: Method Development
* 2017: Studying Vegetation Salinity: From the Field View to a Satellite-Based Perspective
* 2018: Satellite-based view of the aerosol spatial and temporal variability in the Córdoba region (Argentina) using over ten years of high-resolution data
* 2019: Spatial and Temporal Monitoring of Pasture Ecological Quality: Sentinel-2-Based Estimation of Crude Protein and Neutral Detergent Fiber Contents
* 2020: Secular Changes in Atmospheric Turbidity over Iraq and a Possible Link to Military Activity
Chudomelka, B.[Bryce]
* 2020: Robust Neural Networks Inspired by Strong Stability Preserving Runge-Kutta Methods
Chudy, F.[Frantisek]
* 2018: Evaluation of Close-Range Photogrammetry Image Collection Methods for Estimating Tree Diameters
* 2020: Comparison of Stem Curve Accuracy Determined from Point Clouds Acquired by Different Terrestrial Remote Sensing Methods, The
Includes: Chudy, F.[Frantisek] Chudý, F.[František]
Chudy, L.[Lucius]
* 1997: Neural-like thinning processing
Includes: Chudy, L.[Lucius] Chudý, L.[Lucius]
Chudy, V.[Vladimir]
* 1997: Neural-like thinning processing
Includes: Chudy, V.[Vladimir] Chudý, V.[Vladimír]
Chudzian, P.[Pawel]
* 2012: Evaluation measures for kernel optimization
Chudzikiewicz, K.[Krystian]
* 2022: Methodology of Calculating the Number of Trees Based on ALS Data for Forestry Applications for the Area of Samlawki Forest District