Index for leis

Leis, J.[John] * 2014: Cross-layer optimization for 3-D video transmission over cooperative relay systems

Leisch, F.[Friedrich] * 1996: Hierarchies of Autoassociators
* 1997: Adaptive Combination of PCA and VQ Networks

Leishman, F. * 2014: Driving Assistance by Deictic Control for a Smart Wheelchair: The Assessment Issue

Leishman, S. * 2005: statistical learning approach to document image analysis, A

Leisner, T.[Thomas] * 2022: Comparison of Scanning LiDAR with Other Remote Sensing Measurements and Transport Model Predictions for a Saharan Dust Case

Leiss, K.[Karl] * 2021: Face Texture Generation and Identity-Preserving Rectification

Leisso, N.P. * 2021: Below-Cloud Atmospheric Correction of Airborne Hyperspectral Imagery Using Simultaneous Solar Spectral Irradiance Observations

Leist, M. * 2016: Stem cell microscopic image segmentation using supervised normalized cuts

Leistedt, B. * 2015: Novel Sampling Theorem on the Rotation Group, A

Leister, M.A.[Marcelo A.] * 1996: Lossy Lempel-Ziv Algorithm for Large Alphabet Sources and Applications to Image Compression

Leister, V. * 2016: Phase-Altimetric Simulator: Studying the Sensitivity of Earth-Reflected GNSS Signals to Ocean Topography, A

Leister, W. * 2013: Validation of Vehicle Candidate Areas in Aerial Images Using Color Co-Occurrence Histograms
* 2017: Guest Editorial Special Issue on Situation, Activity, and Goal Awareness in Cyber-Physical Human-Machine Systems

Leisti, T.[Tuomas] * 2011: Bayesian network model of overall print quality: Construction and structural optimisation

Leistner, C.[Christian] * 2006: TRICam: An Embedded Platform for Remote Traffic Surveillance
* 2007: audio-visual sensor fusion approach for feature based vehicle identification, An
* 2007: Multiple View Camera Calibration for Localization
* 2007: Object Reacquisition and Tracking in Large-Scale Smart Camera Networks
* 2007: Robust Local Features and their Application in Self-Calibration and Object Recognition on Embedded Systems
* 2008: Semi-supervised boosting using visual similarity learning
* 2008: Semi-supervised On-Line Boosting for Robust Tracking
* 2008: Visual on-line learning in distributed camera networks
* 2009: Interactive Texture Segmentation using Random Forests and Total Variation
* 2009: On robustness of on-line boosting: a competitive study
* 2009: On-line Random Forests
* 2009: Regularized multi-class semi-supervised boosting
* 2009: Semi-Supervised Random Forests
* 2010: Audio-Visual Co-Training for Vehicle Classification
* 2010: Autonomous Audio-Supported Learning of Visual Classifiers for Traffic Monitoring
* 2010: MIForests: Multiple-Instance Learning with Randomized Trees
* 2010: Multiple instance learning from multiple cameras
* 2010: On-Line Multi-view Forests for Tracking
* 2010: On-Line Random Naive Bayes for Tracking
* 2010: On-line semi-supervised multiple-instance boosting
* 2010: Online multi-class LPBoost
* 2010: PROST: Parallel robust online simple tracking
* 2010: Robust Multi-View Boosting with Priors
* 2011: Improving classifiers with unlabeled weakly-related videos
* 2011: On-line Hough Forests
* 2012: Apparel Classification with Style
* 2012: Ensemble Partitioning for Unsupervised Image Categorization
* 2012: Interactive object detection
* 2012: Learning object class detectors from weakly annotated video
* 2012: Nested Sparse Quantization for Efficient Feature Coding
* 2013: Alternating Decision Forests
* 2013: Alternating Regression Forests for Object Detection and Pose Estimation
* 2013: Human Pose Estimation Using Body Parts Dependent Joint Regressors
* 2013: Semantic tie points
* 2013: Unsupervised Object Discovery and Segmentation in Videos
* 2014: Accurate Object Detection with Joint Classification-Regression Random Forests
* 2014: Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images
* 2015: Fast and accurate image upscaling with super-resolution forests
Includes: Leistner, C.[Christian] Leistner, C.
38 for Leistner, C.

Leistner, D. * 2012: Micro-routing using accurate traffic predictions

Leistner, D.M. * 2019: Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks

Leistner, T. * 2019: Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift
* 2022: Neural Head Avatars from Monocular RGB Videos
* 2022: Towards Multimodal Depth Estimation from Light Fields
Includes: Leistner, T. Leistner, T.[Titus]

Leistritz, L. * 2016: Time-Variant Modeling of Brain Processes

Leisz, S.J.[Stephen J.] * 2016: Telecouplings in the East-West Economic Corridor within Borders and Across

Index for "l"