Csurgai Horvath, L.[Laszlo]
* 2020: Small Scale Rain Field Sensing and Tomographic Reconstruction with Passive Geostationary Satellite Receivers
Includes: Csurgai Horvath, L.[Laszlo] Csurgai-Horváth, L.[László]
Csurka, C.
* 2002: Toward generic image dewatermarking?
Csurka, G.
* 1995: 3-D Reconstructions of Urban Scenes from Sequence of Images
* 1995: 3-D Reconstructions of Urban Scenes from Sequence of Images
* 1995: Comparison of Projective Reconstruction Methods for Pairs of Views, A
* 1997: Characterizing the Uncertainty of the Fundamental Matrix
* 1997: Comparison of Projective Reconstruction Methods for Pairs of Views, A
* 1997: Computing projective and permutation invariants of points and lines
* 1998: 3-D Reconstruction of Urban Scenes from Image Sequences
* 1998: Autocalibration in the Presence of Critical Motions
* 1998: Closed-form solutions for the Euclidean calibration of a stereo rig
* 1998: Computing 3-Dimensional Project Invariants from a Pair of Images Using the Grassmann-Cayley Algebra
* 1998: Projective Translations and Affine Stereo Calibration
* 1998: Self-Calibration and Euclidean Reconstruction Using Motions of a Stereo Rig
* 1999: Algebraic and Geometric Tools to Compute Projective and Permutation Invariants
* 1999: Bayesian Approach to Spread Spectrum Watermark Detection and Secure Copyright Protection for Digital Image Libraries, A
* 1999: Direct Identification of Moving Objects and Background from 2D Motion Models
* 1999: Finding the Collineation between Two Projective Reconstructions
* 2000: Stereo Calibration from Rigid Motions
* 2005: Incorporating Geometry Information with Weak Classifiers for Improved Generic Visual Categorization
* 2006: Adapted Vocabularies for Generic Visual Categorization
* 2006: Generic Visual Categorization Using Weak Geometry
* 2006: Probabilistic Automatic Red Eye Detection and Correction
* 2008: Simple High Performance Approach to Semantic Segmentation, A
* 2009: framework for visual saliency detection with applications to image thumbnailing, A
* 2009: Hierarchical Image-region Labeling via Structured Learning
* 2010: Learning moods and emotions from color combinations
* 2010: Trans Media Relevance Feedback for Image Autoannotation
* 2011: Assessing the aesthetic quality of photographs using generic image descriptors
* 2011: Building look and feel concept models from color combinations: With applications in image classification, retrieval, and color transfer
* 2011: Combining Visible and Near-Infrared Cues for image Categorisation
* 2011: Efficient Approach to Semantic Segmentation, An
* 2011: Learning structured prediction models for interactive image labeling
* 2011: Semantic combination of textual and visual information in multimedia retrieval
* 2012: Images as sets of locally weighted features
* 2012: Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost
* 2012: Semantic Image Segmentation Using Visible and Near-Infrared Channels
* 2013: Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost
* 2013: Tree-Structured CRF Models for Interactive Image Labeling
* 2013: What is a good evaluation measure for semantic segmentation?
* 2014: Domain Adaptation with a Domain Specific Class Means Classifier
* 2015: Adapted Domain Specific Class Means
* 2016: Unsupervised Domain Adaptation with Regularized Domain Instance Denoising
* 2017: Discrepancy-Based Networks for Unsupervised Domain Adaptation: A Comparative Study
* 2019: Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings
* 2019: Visual Localization by Learning Objects-Of-Interest Dense Match Regression
* 2020: Benchmarking Image Retrieval for Visual Localization
* 2020: Estimating Low-Rank Region Likelihood Maps
* 2021: Detecting Low-Rank Regions in Omnidirectional Images
* 2021: Large-scale Localization Datasets in Crowded Indoor Spaces
* 2021: Unsupervised Meta-Domain Adaptation for Fashion Retrieval
* 2022: Deep Visual Geo-localization Benchmark
* 2022: Investigating the Role of Image Retrieval for Visual Localization
* 2022: On the Road to Online Adaptation for Semantic Image Segmentation
* 2022: Semantic Image Segmentation: Two Decades of Research
* 2023: CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow
* 2023: SegLoc: Learning Segmentation-Based Representations for Privacy-Preserving Visual Localization
Includes: Csurka, G. Csurka, G.[Gabriella] Csurka, G.[Gabriela]
55 for Csurka, G.