Farnaghi, M.[Mahdi]
* 2009: Integration of rendering technologies and visualization techniques to improve 3D Mobile GIS applications
* 2018: Multi-Agent Planning for Automatic Geospatial Web Service Composition in Geoportals
* 2019: Varied Density-based Clustering Approach for Event Detection from Heterogeneous Twitter Data, A
Farnane, K.[Kaoutar]
* 2020: Optimization of a new Golay sequences shaping for low sidelobe radar ambiguity function
Farncombe, T.H.
* 2016: Kernel Density Estimator-Based Maximum A Posteriori Image Reconstruction Method for Dynamic Emission Tomography Imaging, A
Farneback, G.[Gunnar]
* 1997: Motion-Based Segmentation of Image Sequences Using Orientation Tensors
* 1999: Unified Framework For Bases, Frames, Subspace Bases, and Subspace Frames, A
* 2000: Algorithm Performance Contest
* 2000: Fast and Accurate Motion Estimation Using Orientation Tensors and Parametric Motion Models
* 2001: Very High Accuracy Velocity Estimation using Orientation Tensors, Parametric Motion, and Simultaneous Segmentation of the Motion Field
* 2002: Polynomial Expansion for Orientation and Motion Estimation
* 2003: framework for estimation of orientation and velocity, A
* 2003: Two-Frame Motion Estimation Based on Polynomial Expansion
* 2005: Estimation of orientation tensors for simple signals by means of second-order filters
* 2006: Bayesian Approach for Stochastic White Matter Tractography, A
* 2006: Improving Deriche-style Recursive Gaussian Filters
* 2007: Efficient Computation of the Inverse Gradient on Irregular Domains
* 2012: Multi-modal Image Registration Using Polynomial Expansion and Mutual Information
Includes: Farneback, G.[Gunnar] Farnebäck, G.[Gunnar] (Maybe also Farnebaeck, G.)Farnebäck, G. (Maybe also Farnebaeck, G.)Farneback, G.
13 for Farneback, G.
Farnell, C.[Carme]
* 2023: Summary of Hail Events during the Summer of 2022 in Catalonia: A Comparison with the Period of 2013-2021, A
Farnham, A.
* 2005: Millimeter-wave weapons detection system
* 2020: Quantification of Annual Settlement Growth in Rural Mining Areas Using Machine Learning
Includes: Farnham, A. Farnham, A.[Andrea]
Farnham, T.[Tim]
* 2021: Wireless Localisation in WiFi using Novel Deep Architectures
Farnia, F.[Fateme]
* 2021: Measuring panoramic radiomorphometric indices for mandible bone using active shape model and Bayesian information criterion-support vector machine
* 2023: MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope
Includes: Farnia, F.[Fateme] Farnia, F.[Farzan]
Farnia, P.[Parastoo]
* 2013: efficient method for estimating soft tissue deformation based on intraoperative stereo image features and point-based registration, An
* 2016: robust keypoint extraction and matching algorithm based on wavelet transform and information theory for point-based registration in endoscopic sinus cavity data, A
Farnoosh, A.[Amirreza]
* 2020: DEEPPBM: Deep Probabilistic Background Model Estimation from Video Sequences
* 2020: G-LBM: Generative Low-dimensional Background Model Estimation from Video Sequences
* 2022: Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion
Farnsworth, A.[Andrew]
* 2014: Reconstructing Velocities of Migrating Birds from Weather Radar: A Case Study in Computational Sustainability
* 2016: Detecting Migrating Birds at Night
* 2019: Per-Channel Energy Normalization: Why and How
* 2020: Broad-Scale Weather Patterns Encountered during Flight Influence Landbird Stopover Distributions
Includes: Farnsworth, A.[Andrew] Farnsworth, A.