Index for gede

Gede, K.[Krisztian] * 1997: Textures and structural defects
Includes: Gede, K.[Krisztian] Gede, K.[Krisztián]

Gedefaw, M.G.[Melakeneh G.] * 2020: Cloud-Based Evaluation of the National Land Cover Database to Support New Mexico's Food-Energy-Water Systems, A
* 2021: Assessment of Rangeland Degradation in New Mexico Using Time Series Segmentation and Residual Trend Analysis (TSS-RESTREND)

Gedela, S.B.[Stalin Babu] * 2022: Intelligent diagnosis system of hepatitis C virus: A probabilistic neural network based approach

Gedeon, C.I.[Csongor I.] * 2022: Identification and Counting of European Souslik Burrows from UAV Images by Pixel-Based Image Analysis and Random Forest Classification: A Simple, Semi-Automated, yet Accurate Method for Estimating Population Size

Gedeon, T. * 1999: Reducing the Dimensions of Texture Features for Image Retrieval Using Multi-layer Neural Networks
* 2007: Analysis of Constrained Optimization Variants of the Map-Seeking Circuit Algorithm
* 2007: Convergence of Map Seeking Circuits
* 2008: Annealing and the normalized N-cut
* 2009: Learning based automatic face annotation for arbitrary poses and expressions from frontal images only
* 2009: Learning-based Face Synthesis for Pose-robust Recognition from Single Image
* 2011: Emotion recognition using PHOG and LPQ features
* 2011: Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark
* 2012: Collecting Large, Richly Annotated Facial-Expression Databases from Movies
* 2014: Thermal spatio-temporal data for stress recognition
* 2015: Automatic Group Happiness Intensity Analysis
* 2016: Thermal super-pixels for bimodal stress recognition
* 2020: Realsmilenet: A Deep End-to-end Network for Spontaneous and Posed Smile Recognition
* 2020: Simulating Content Consistent Vehicle Datasets with Attribute Descent
* 2020: Using Temporal Features of Observers' Physiological Measures to Distinguish Between Genuine and Fake Smiles
* 2021: Invertible Denoising Network: A Light Solution for Real Noise Removal
* 2022: Automatic Prediction of Group Cohesiveness in Images
* 2022: How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?
* 2022: S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation
* 2022: Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns
* 2023: Bag-of-Prototypes Representation for Dataset-Level Applications, A
* 2023: Glitch in the matrix: A large scale benchmark for content driven audio-visual forgery detection and localization
* 2023: Interpretation of Depression Detection Models via Feature Selection Methods
* 2023: Large-scale Training Data Search for Object Re-identification
* 2024: Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond
Includes: Gedeon, T. Gedeon, T.[Tomáš] Gedeon, T.[Tomas] Gedeon, T.[Tom]
25 for Gedeon, T.

Gedet, P. * 2008: Robust and Accurate Two-Stage Approach for Automatic Recovery of Distal Locking Holes in Computer-Assisted Intramedullary Nailing of Femoral Shaft Fractures, A

Index for "g"


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