Cira, C.I.[Calimanut Ionut]
* 2020: Framework Based on Nesting of Convolutional Neural Networks to Classify Secondary Roads in High Resolution Aerial Orthoimages, A
* 2020: Optimizing the Recognition and Feature Extraction of Wind Turbines through Hybrid Semantic Segmentation Architectures
* 2022: Improving Road Surface Area Extraction via Semantic Segmentation with Conditional Generative Learning for Deep Inpainting Operations
* 2023: State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning
Includes: Cira, C.I.[Calimanut Ionut] Cira, C.I.[Calimanut-Ionut]
Ciraci, E.[Enrico]
* 2018: Mass Balance of Novaya Zemlya Archipelago, Russian High Arctic, Using Time-Variable Gravity from GRACE and Altimetry Data from ICESat and CryoSat-2
* 2019: Soil Moisture Variability in India: Relationship of Land Surface-Atmosphere Fields Using Maximum Covariance Analysis
Includes: Ciraci, E.[Enrico] Ciracė, E.[Enrico]
Cirakman, O.[Ozgun]
* 2010: Key-frame based video fingerprinting by NMF
* 2016: Online speaker emotion tracking with a dynamic state transition model
* 2021: Ninth Visual Object Tracking VOT2021 Challenge Results, The
* 2021: TDIOT: Target-Driven Inference for Deep Video Object Tracking
Includes: Cirakman, O.[Ozgun] Cirakman, O.
Ciranni, M.[Massimiliano]
* 2023: Efficient unsupervised learning of biological images with compressed deep features
* 2024: Computer vision and deep learning meet plankton: Milestones and future directions
Ciraolo, G.[Giuseppe]
* 2016: Comparison between Drifter and X-Band Wave Radar for Sea Surface Current Estimation, A
* 2017: Power Sensitivity Analysis of Multi-Frequency, Multi-Polarized, Multi-Temporal SAR Data for Soil-Vegetation System Variables Characterization
* 2018: On the Use of the Eddy Covariance Latent Heat Flux and Sap Flow Transpiration for the Validation of a Surface Energy Balance Model
* 2018: On the Use of Unmanned Aerial Systems for Environmental Monitoring
* 2021: Geostatistical Approach to Map Near-Surface Soil Moisture Through Hyperspatial Resolution Thermal Inertia, A
* 2021: Mapping Water Infiltration Rate Using Ground and UAV Hyperspectral Data: A Case Study of Alento, Italy
* 2021: Proximal-Sensing-Powered Modelling of Energy-Water Fluxes in a Vineyard: A Spatial Resolution Analysis
7 for Ciraolo, G.
Cirauqui, I.[Inigo]
* 2016: ORBSLAM-Based Endoscope Tracking and 3D Reconstruction
Includes: Cirauqui, I.[Inigo] Cirauqui, I.[Iņigo]
Ciravegna, F.[Fabio]
* 2009: Web news categorization using a cross-media document graph
* 2017: Citizen Science and Crowdsourcing for Earth Observations: An Analysis of Stakeholder Opinions on the Present and Future
Ciravegna, G.[Gabriele]
* 2022: Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers
Ciray, H.N.[H. Nadir]
* 2010: Bayesian Networks for Predicting IVF Blastocyst Development