Stadelmann, T.[Thilo]
* 2007: Semantic video analysis for psychological research on violence in computer games
* 2009: WebVoice: A Toolkit for Perceptual Insights into Speech Processing
* 2010: Dimension-Decoupled Gaussian Mixture Model for Short Utterance Speaker Recognition
* 2010: Rethinking Algorithm Design and Development in Speech Processing
* 2018: DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects
* 2018: Speaker Clustering Using Dominant Sets
* 2021: DeepScoresV2 Dataset and Benchmark for Music Object Detection, The
* 2024: Deep neural networks for automatic speaker recognition do not learn supra-segmental temporal features
Includes: Stadelmann, T.[Thilo] Stadelmann, T.
8 for Stadelmann, T.
Stadelmayer, T.[Thomas]
* 2021: Radar Image Reconstruction from Raw ADC Data using Parametric Variational Autoencoder with Domain Adaptation
Stadler, A.[Anja]
* 2014: Diurnal Dynamics of Wheat Evapotranspiration Derived from Ground-Based Thermal Imagery
* 2015: Estimation and Validation of RapidEye-Based Time-Series of Leaf Area Index for Winter Wheat in the Rur Catchment (Germany)
Stadler, D.[Daniel]
* 2021: Improving Multiple Pedestrian Tracking by Track Management and Occlusion Handling
* 2021: Occlusion-aware Multi-target Multi-camera Tracking System, An
* 2022: Modelling Ambiguous Assignments for Multi-Person Tracking in Crowds
* 2023: Improved Association Pipeline for Multi-Person Tracking, An
* 2023: Past Information Aggregation for Multi-Person Tracking
* 2024: 2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results
Stadler, G.
* 2010: Variational Image Segmentation for Endoscopic Human Colonic Aberrant Crypt Foci
Stadler, P.[Philipp]
* 2002: High-Quality Geo-Referencing of GPS/IMU-Supported Multi-Spectral Airborne Scanner Data: Experiences and Results
Stadler, P.F.[Peter F.]
* 2008: Process flow for classification and clustering of fruit fly gene expression patterns
* 2010: Visual Network Analysis of Dynamic Metabolic Pathways
* 2012: Visual Cross-database Comparison of Metabolic Networks, A
Stadlthanner, K.[Kurt]
* 2005: AutoAssign: An Automatic Assignment Tool for Independent Components
Stadnicka, M.
* 2016: Mitigating discontinuities in segmented Karhunen-Loeve Transforms
Stadtschnitzer, M.
* 2020: Motion Analysis on Depth Camera Data to Quantify Parkinson's Disease Patients' Motor Status Within the Framework of I-Prognosis Personalized Game Suite