Liwicki, M.[Marcus]
* 2005: Enhancing training data for handwriting recognition of whiteboard notes with samples from a different database
* 2005: IAM-OnDB: An on-line English sentence database acquired from handwritten text on a whiteboard
* 2006: Word Extraction from On-Line Handwritten Text Lines
* 2006: Writer Identification for Smart Meeting Room Systems
* 2007: Combining On-Line and Off-Line Systems for Handwriting Recognition
* 2007: On-Line Handwritten Text Line Detection Using Dynamic Programming
* 2008: Recognition of Whiteboard Notes: Online, Offline and Combination
* 2008: writer identification system for on-line whiteboard data, A
* 2009: Combining Alignment Results for Historical Handwritten Document Analysis
* 2009: Combining diverse on-line and off-line systems for handwritten text line recognition
* 2009: Language Model Integration for the Recognition of Handwritten Medieval Documents
* 2009: Novel Connectionist System for Unconstrained Handwriting Recognition, A
* 2010: a.SCAtch: A Sketch-Based Retrieval for Architectural Floor Plans
* 2010: Analysis of Local Features for Handwritten Character Recognition
* 2010: Embedding Meta-Information in Handwriting: Reed-Solomon for Reliable Error Correction
* 2010: Forensic Signature Verification Competition 4NSigComp2010: Detection of Simulated and Disguised Signatures
* 2010: Ontology-Based Information Extraction from Handwritten Documents
* 2010: Part-Based Recognition of Handwritten Characters
* 2011: Combining diverse systems for handwritten text line recognition
* 2011: Comparative Study of Part-Based Handwritten Character Recognition Methods
* 2011: Improved Automatic Analysis of Architectural Floor Plans
* 2011: Indexing with Well-Founded Total Order for Faster Subgraph Isomorphism Detection
* 2011: Look Inside the World of Parts of Handwritten Characters
* 2011: MCS for Online Mode Detection: Evaluation on Pen-Enabled Multi-Touch Interfaces
* 2011: Reliable Online Stroke Recovery from Offline Data with the Data-Embedding Pen
* 2011: Signature Verification Competition for Online and Offline Skilled Forgeries (SigComp2011)
* 2011: Text/Graphics Segmentation in Architectural Floor Plans
* 2012: Faster subgraph isomorphism detection by well-founded total order indexing
* 2012: From Terminology to Evaluation: Performance Assessment of Automatic Signature Verification Systems
* 2012: ICFHR 2012 Competition on Automatic Forensic Signature Verification (4NsigComp 2012)
* 2012: Local Feature Based Online Mode Detection with Recurrent Neural Networks
* 2012: Online Signature Verification Based on Legendre Series Representation: Robustness Assessment of Different Feature Combinations
* 2012: Part-based method on handwritten texts
* 2012: Signature Segmentation from Document Images
* 2012: Unsupervised motion pattern learning for motion segmentation
* 2013: Automatic Ground Truth Generation of Camera Captured Documents Using Document Image Retrieval
* 2013: Continuous Partial-Order Planning for Multichannel Document Analysis: A Process-Driven Approach
* 2013: FREAK for Real Time Forensic Signature Verification
* 2013: Generic Method for Stamp Segmentation Using Part-Based Features, A
* 2013: ICDAR 2013 Competitions on Signature Verification and Writer Identification for On- and Offline Skilled Forgeries (SigWiComp 2013)
* 2013: Local Features for Forensic Signature Verification
* 2013: Online Signature Analysis Based on Accelerometric and Gyroscopic Pens and Legendre Series
* 2013: Orthogonal function representation for online signature verification: which features should be looked at?
* 2013: Part-Based Automatic System in Comparison to Human Experts for Forensic Signature Verification
* 2013: Part-Based Recognition of Arbitrary Fonts
* 2013: Text Line Extraction Using DMLP Classifiers for Historical Manuscripts
* 2014: Automatic analysis and sketch-based retrieval of architectural floor plans
* 2014: Bridging the gap between handwriting recognition and knowledge management
* 2014: Character-Level Alignment Using WFST and LSTM for Post-processing in Multi-script Recognition Systems - A Comparative Study
* 2014: Investigation of feature selection for historical document layout analysis
* 2014: LSTM-Based Early Recognition of Motion Patterns
* 2014: More than ink: Realization of a data-embedding pen
* 2014: Robust Text Line Segmentation for Historical Manuscript Images Using Color and Texture
* 2014: Statistical segmentation and structural recognition for floor plan interpretation
* 2014: Supervised texture segmentation using 2D LSTM networks
* 2014: Texture Classification Using 2D LSTM Networks
* 2015: Combination of multiple aligned recognition outputs using WFST and LSTM
* 2015: Curriculum learning for printed text line recognition of ligature-based scripts
* 2015: Data Embedding into Characters
* 2015: Deepdocclassifier: Document classification with deep Convolutional Neural Network
* 2015: Gradient-domain degradations for improving historical documents images layout analysis
* 2015: ICDAR2015 competition on signature verification and writer identification for on- and off-line skilled forgeries (SigWIcomp2015)
* 2015: Page segmentation of historical document images with convolutional autoencoders
* 2015: Parallel sequence classification using recurrent neural networks and alignment
* 2015: Recognition of historical Greek polytonic scripts using LSTM networks
* 2015: Recognizable units in Pashto language for OCR
* 2015: Scale and rotation invariant OCR for Pashto cursive script using MDLSTM network
* 2015: Scene analysis by mid-level attribute learning using 2D LSTM networks and an application to web-image tagging
* 2015: Scene labeling with LSTM recurrent neural networks
* 2015: sequence learning approach for multiple script identification, A
* 2015: Sparse radial sampling LBP for writer identification
* 2018: Are You Tampering with My Data?
* 2018: Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks
* 2019: Combining graph edit distance and triplet networks for offline signature verification
* 2019: Factored Convolutional Neural Network for Amharic Character Image Recognition
* 2019: Grayification: A meaningful grayscale conversion to improve handwritten historical documents analysis
* 2021: Burnt Forest Estimation from Sentinel-2 Imagery of Australia using Unsupervised Deep Learning
* 2021: Pretraining Image Encoders without Reconstruction via Feature Prediction Loss
* 2021: Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks
* 2022: Depth Contrast: Self-supervised Pretraining on 3dpm Images for Mining Material Classification
* 2022: Robust Scene Text Detection for Partially Annotated Training Data
* 2023: Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?
* 2023: Functional Knowledge Transfer with Self-supervised Representation Learning
* 2023: Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
Includes: Liwicki, M.[Marcus] Liwicki, M.
84 for Liwicki, M.
Liwicki, S.[Stephan]
* 2009: Automatic recognition of fingerspelled words in British Sign Language
* 2011: Fast and robust appearance-based tracking
* 2012: Incremental Slow Feature Analysis with Indefinite Kernel for Online Temporal Video Segmentation
* 2013: Euler Principal Component Analysis
* 2014: Full-Angle Quaternions for Robustly Matching Vectors of 3D Rotations
* 2015: Online Kernel Slow Feature Analysis for Temporal Video Segmentation and Tracking
* 2016: Coarse-to-fine Planar Regularization for Dense Monocular Depth Estimation
* 2019: Orientation-Aware Semantic Segmentation on Icosahedron Spheres
* 2020: Rotation Equivariant Orientation Estimation for Omnidirectional Localization
* 2021: Lifted Semantic Graph Embedding for Omnidirectional Place Recognition
* 2023: HexNet: An Orientation-Aware Deep Learning Framework for Omni-Directional Input
Includes: Liwicki, S.[Stephan] Liwicki, S.
11 for Liwicki, S.