Valva, R.
* 2013: Advanced Representation Technologies Applied to the Temple of Neptune, the Sphinx and the Metope in the Archaeological Park of Paestum
* 2015: Integrated Survey for Excavated Architectures: The Complex of Casalnuovo District Within the World Heritage Site Sassi (Matera, Italy), The
Valvano, G.[Gabriele]
* 2021: Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates
* 2024: Controllable Image Synthesis of Industrial Data using Stable Diffusion
Valveny, E.
* 2000: Hand-drawn Symbol Recognition in Graphic Documents Using Deformable Template Matching and a Bayesian Framework
* 2001: Learning of structural descriptions of graphic symbols using deformable template matching
* 2002: Sean-to-XML: automatic generation of browsable technical documents
* 2003: model for image generation and symbol recognition through the deformation of lineal shapes, A
* 2003: Numeral recognition for quality control of surgical sachets
* 2003: Radon transform for lineal symbol representation
* 2004: Performance Evaluation of Symbol Recognition
* 2004: Platform to Extract Knowledge from Graphic Documents. Application to an Architectural Sketch Understanding Scenario, A
* 2005: Local norm features based on ridgelets transform
* 2006: Combination of shape descriptors using an adaptation of boosting
* 2006: new use of the ridgelets transform for describing linear singularities in images, A
* 2006: Spectral Median Graphs Applied to Graphical Symbol Recognition
* 2007: Bounding the Size of the Median Graph
* 2007: Combination of OCR Engines for Page Segmentation Based on Performance Evaluation
* 2007: Evaluation of Spectral-Based Methods for Median Graph Computation
* 2007: general framework for the evaluation of symbol recognition methods, A
* 2007: On the Relation Between the Median and the Maximum Common Subgraph of a Set of Graphs
* 2007: Review of Shape Descriptors for Document Analysis, A
* 2008: approximate algorithm for median graph computation using graph embedding, An
* 2008: Exact Median Graph Computation Via Graph Embedding
* 2009: Diagonal Split: A Pre-segmentation Step for Page Layout Analysis and Classification, The
* 2009: Graph-Based k-Means Clustering: A Comparison of the Set Median versus the Generalized Median Graph
* 2009: Median Graph Computation by Means of a Genetic Approach Based on Minimum Common Supergraph and Maximum Common Subgraph
* 2009: Median graph: A new exact algorithm using a distance based on the maximum common subgraph
* 2009: Median graphs: A genetic approach based on new theoretical properties
* 2009: Optimal Classifier Fusion in a Non-Bayesian Probabilistic Framework
* 2009: Recursive Embedding Approach to Median Graph Computation, A
* 2009: Rotation Invariant Page Layout Descriptor for Document Classification and Retrieval, A
* 2010: Generalized Median Graph Computation by Means of Graph Embedding in Vector Spaces
* 2010: Generation of synthetic documents for performance evaluation of symbol recognition and spotting systems
* 2010: Graph of Words Embedding for Molecular Structure-Activity Relationship Analysis
* 2010: Perceptual Image Retrieval by Adding Color Information to the Shape Context Descriptor
* 2010: Symbol Classification Using Dynamic Aligned Shape Descriptor
* 2011: Deforming the Blurred Shape Model for Shape Description and Recognition
* 2011: Dimensionality Reduction for Graph of Words Embedding
* 2011: generic framework for median graph computation based on a recursive embedding approach, A
* 2011: Non-rigid Feature Extraction Method for Shape Recognition, A
* 2011: Special Issue on Performance Evaluation
* 2011: Vocabulary Selection for Graph of Words Embedding
* 2011: Wall Patch-Based Segmentation in Architectural Floorplans
* 2012: Coarse-to-Fine Approach for Handwritten Word Spotting in Large Scale Historical Documents Collection, A
* 2012: Efficient Exemplar Word Spotting
* 2012: Feature selection on node statistics based embedding of graphs
* 2012: Graph embedding in vector spaces by node attribute statistics
* 2012: Leveraging category-level labels for instance-level image retrieval
* 2012: non-rigid appearance model for shape description and recognition, A
* 2012: On the Correlation of Graph Edit Distance and L1 Distance in the Attribute Statistics Embedding Space
* 2013: Deformable HOG-Based Shape Descriptor
* 2013: Graph Clustering through Attribute Statistics Based Embedding
* 2013: Handwritten Word Spotting with Corrected Attributes
* 2013: Large-scale document image retrieval and classification with runlength histograms and binary embeddings
* 2013: Unsupervised Wall Detector in Architectural Floor Plans
* 2013: Writer identification in handwritten musical scores with bags of notes
* 2014: Segmentation-free word spotting with exemplar SVMs
* 2014: Statistical segmentation and structural recognition for floor plan interpretation
* 2014: Word Spotting and Recognition with Embedded Attributes
* 2015: Efficient indexing for Query By String text retrieval
* 2015: ICDAR 2015 competition on Robust Reading
* 2015: Query by string word spotting based on character bi-gram indexing
* 2015: Sliding Window Framework for Word Spotting Based on Word Attributes, A
* 2018: Aligning Salient Objects to Queries: A Multi-modal and Multi-object Image Retrieval Framework
* 2018: Learning Cross-Modal Deep Embeddings for Multi-Object Image Retrieval using Text and Sketch
* 2018: Text box proposals for handwritten word spotting from documents
* 2019: Can Generative Adversarial Networks Teach Themselves Text Segmentation?
* 2019: Compact and Efficient Multitask Learning in Vision, Language and Speech
* 2019: Scene Text Visual Question Answering
* 2021: Beyond visual semantics: Exploring the role of scene text in image understanding
* 2021: Multimodal grid features and cell pointers for scene text visual question answering
* 2021: Real-time Lexicon-free Scene Text Retrieval
* 2022: InfographicVQA
* 2022: OCR-IDL: OCR Annotations for Industry Document Library Dataset
* 2023: Document Understanding Dataset and Evaluation (DUDE)
* 2023: Hierarchical multimodal transformers for Multipage DocVQA
Includes: Valveny, E. Valveny, E.[Ernest]
73 for Valveny, E.
Valverde Albacete, F.J.[Francisco J.]
* 2010: Two information-theoretic tools to assess the performance of multi-class classifiers
Includes: Valverde Albacete, F.J.[Francisco J.] Valverde-Albacete, F.J.[Francisco J.]
Valverde Rebaza, J.
* 2016: Exploiting social and mobility patterns for friendship prediction in location-based social networks
Includes: Valverde Rebaza, J. Valverde-Rebaza, J.
Valverde, F.
* 2001: Deformable Model for Image Segmentation in Noisy Medical Images, A
* 2001: Evaluation Criterion for Edge Detection Techniques in Noisy Images, An
Valverde, F.R.[Francisco Rivera]
* 2021: There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge
Valverde, I.
* 2016: 3D Quantification of Wall Shear Stress and Oscillatory Shear Index Using a Finite-Element Method in 3D CINE PC-MRI Data of the Thoracic Aorta
* 2016: Enhancing the Velocity Data From 4D Flow MR Images by Reducing its Divergence
* 2023: Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR, A
Includes: Valverde, I. Valverde, I.[Israel]
Valverde, J.M.[Juan Miguel]
* 2023: Region-wise loss for biomedical image segmentation
Valverde, L.
* 1988: New Results in Fuzzy Clustering Based on the Concept of Indistinguishability Relation
Valverde, L.N.
* 2001: Adaptive technology for mail-order form segmentation
Valverde, N.
* 2000: Part-of-speech Tagging for Table of Contents Recognition
Valverde, S.
* 2019: Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Valvoda, J.T.[Jakob T.]
* 2007: Virtual Reality-Based Framework for Experiments on Perception of Manual Gestures, A