Index for wilh

Wilharm, S.[Sylvia] * 2005: Illumination Invariant Color Texture Analysis Based on Sum- and Difference-Histograms

Wilheit, T. * 2009: Time-Varying Radiometric Bias Correction for the TRMM Microwave Imager, A

Wilheit, T.T. * 2013: Comparing Calibrations of Similar Conically Scanning Window-Channel Microwave Radiometers

Wilhelem, T. * 2017: Energy Consumption Evaluation Based on a Personalized Driver-Vehicle Model

Wilhelm, A. * 2005: Driver State Monitor from DELPHI
* 2005: Efficient Real-Time Algorithms for Eye State and Head Pose Tracking in Advanced Driver Support Systems
* 2012: Benchmark Dataset for Outdoor Foreground/Background Extraction, A
Includes: Wilhelm, A. Wilhelm, A.[Andrew] Wilhelm, A.[Alexis]

Wilhelm, A.F.X.[Adalbert F. X.] * 2002: Direct Manipulation Graphics For Data Mining

Wilhelm, C.[Connor] * 2021: Two-hand Global 3D Pose Estimation using Monocular RGB

Wilhelm, F.H. * 2011: Role of Visual Complexity in Affective Reactions to Webpages: Subjective, Eye Movement, and Cardiovascular Responses, The

Wilhelm, M.[Matthew] * 2010: Automated Detection of Human Papillomavirus: Via Analysis of Linear Array Images

Wilhelm, T.[Torsten] * 2011: Automatic real-time FACS-coder to anonymise drivers in eye tracker videos
* 2016: Flexible Mixture Models for Colour Image Segmentation of Natural Images
* 2017: Boundary aware image segmentation with unsupervised mixture models
* 2017: From Weakly Supervised Object Localization to Semantic Segmentation by Probabilistic Image Modeling
* 2017: On the suitability of different probability distributions for the task of image segmentation
* 2020: DoMars16k: A Diverse Dataset for Weakly Supervised Geomorphologic Analysis on Mars
* 2021: Towards Tackling Multi-Label Imbalances in Remote Sensing Imagery
* 2021: Uncertainty Guided Recognition of Tiny Craters on the Moon
* 2021: Uncertainty Introduced by Darkening Agents in the Lunar Regolith: An Unmixing Perspective
* 2022: Image Augmentations in Planetary Science: Implications in Self-Supervised Learning and Weakly-Supervised Segmentation on Mars
* 2022: Learning the Link between Albedo and Reflectance: Machine Learning-Based Prediction of Hyperspectral Bands from CTX Images
Includes: Wilhelm, T.[Torsten] Wilhelm, T. Wilhelm, T.[Thorsten]
11 for Wilhelm, T.

Wilhelms, J.[Jane] * 2000: Human Motion from Active Contours
* 2003: Combining vision and computer graphics for video motion capture

Wilhelms, M.[Mathias] * 2011: Comparing Simulated Electrocardiograms of Different Stages of Acute Cardiac Ischemia

Wilhelmy, J.[Jochen] * 2009: Shape from Shading Using Probability Functions and Belief Propagation

Wilhjelm, J.E. * 2004: Visual and Quantitative Evaluation of Selected Image Combination Schemes in Ultrasound Spatial Compound Scanning

Index for "w"


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