Mong, N.T.[Ngoc Thi]
* 2016: Spatial Correlation of Satellite-Derived PM2.5 with Hospital Admissions for Respiratory Diseases
Monga, A.[Amit]
* 2024: Fourier Prior-Based Two-Stage Architecture for Image Restoration
* 2025: FCTFANet: A Fused CNN-Transformer Feature Aggregator Network for Image Restoration
* 2026: ASM-DiffConvNet: Physics-Guided Difference Convolution Network for Single-Image Restoration
* 2026: DAIRNet: Degradation-aware All-in-one Image Restoration Network with cross-channel feature interaction
Monga, O.
* 1985: Parallel and Hierarchical Algorithm for Region Growing, A
* 1986: Hierarchical Algorithm for the Segmentation of 3-D Images, A
* 1986: New Approach to Image Segmentation, A
* 1986: New Three Dimensional Boundary Detection, A
* 1987: Optimal Region Growing Algorithm for Image Segmentation, An
* 1989: 3D Edge Detection Using Recursive Filtering: Application to Scanner Images
* 1990: 3D Edge Detection by Separable Recursive Filtering and Edge Closing
* 1990: Recursive Filtering and Edge Closing: Two Primary Tools for 3D Edge Detection
* 1991: 3D Edge Detection Using Recursive Filtering: Application to Scanner Images
* 1991: From Voxel to Curvature
* 1991: From Voxel to Curvature
* 1991: From Voxel to Curvature Features
* 1991: Recursive Filtering and Edge Tracking: Two Primary Tools for 3D Edge Detection
* 1992: From Partial Derivatives of 3D Density Images to Ridge Lines
* 1992: From Voxel to Intrinsic Surface Features
* 1992: Using Differential Geometry in R4 to Extract Typical Features in 3D Density Images
* 1993: Using Differential Geometry in R4 to Extract Typical Features in 3D Images
* 1994: Crest Lines Extraction in Volume 3D Medical Images: A Multi-Scale Approach
* 1994: Extraction of the Zero-Crossings of the Curvature Derivative in Volumetric 3D Medical Images: A Multi-Scale Approach
* 1995: Modeling 3D Objects with Patches of Quadratic Surfaces: Application to the Recognition and Locating of Anatomic Structures
* 1995: Thin Nets and Crest Lines: Application to Satellite Data and Medical Images
* 1995: Using Partial Derivatives of 3D Images to Extract Typical Surface-Features
* 1996: 3D Thin Nets Extraction Method for Medical Imaging, A
* 1996: Extraction of vascular network in 3D images
* 1996: From 2D Images to 3D Face Geometry
* 1996: Thin Network Extraction in 3D Images: Application to Medical Angiograms
* 1996: Using Crest Lines to Guide Surface Reconstruction from Stereo
* 1996: Using Crest Lines to Guide Surface Reconstruction from Stereo
* 1997: Crestlines Contribution to the Automatic Building Extraction
* 1997: From Volume Medical Images to Quadratic Surface Patches
* 1997: Thin Nets and Crest Lines: Application to Satellite Data and Medical Images
* 1997: Thin Nets Extraction Using a Multi-scale Approach
* 1997: Thin Nets Extraction Using a Multi-scale Approach
* 1997: Using Differential Constraints to Reconstruct Complex Surfaces from Stereo
* 1997: Using Differential Properties for Stereo Reconstruction of Complex Surfaces
* 1998: 3D Face Modeling from Stereo and Differential Constraints
* 1998: Using differential constraints to generate a 3D face model from stereo
* 1999: Classification and representation of networks from satellite images
* 1999: Thin Nets Extraction Using a Multi-scale Approach
* 2000: 3D stereo reconstruction of human faces driven by differential constraints
* 2003: Multi-block PCA method for image change detection
* 2007: Defining and computing stable representations of volume shapes from discrete trace using volume primitives: Application to 3D image analysis in soil science
Includes: Monga, O. Monga, O.[Olivier] Monga, O.[Oliver]
42 for Monga, O.
Monga, R.
* 2012: Building high-level features using large scale unsupervised learning
* 2015: Beyond short snippets: Deep networks for video classification
Includes: Monga, R. Monga, R.[Rajat]
Monga, S.[Shubham]
* 2025: Instructive3D: Editing Large Reconstruction Models with Text Instructions
Monga, V.
* 2003: Linear color-separable human visual system models for vector error diffusion halftoning
* 2004: Robust perceptual image hashing using feature points
* 2005: Hardcopy Image Barcodes Via Block-Error Diffusion
* 2005: Two-dimensional transforms for device color correction and calibration
* 2006: Geometrically Invariant Image Watermarking via Robust Perceptual Hashes
* 2006: Perceptual Image Hashing Via Feature Points: Performance Evaluation and Tradeoffs
* 2007: Design of Tone-Dependent Color-Error Diffusion Halftoning Systems
* 2008: Adaptive decoding for halftone orientation-based data hiding
* 2010: learning framework for robust hashing of face images, A
* 2010: Orientation Modulation for Data Hiding in Clustered-Dot Halftone Prints
* 2011: Automatic target recognition using discriminative graphical models
* 2012: Capacity Analysis For Orthogonal Halftone Orientation Modulation Channels
* 2012: Design and Optimization of Color Lookup Tables on a Simplex Topology
* 2012: Robust video fingerprinting via structural graphical models
* 2012: Robust Video Hashing via Multilinear Subspace Projections
* 2013: Robust Extrema Features for Time-Series Data Analysis
* 2013: Structured Sparse Priors for Image Classification
* 2014: Adaptive Sparse Representations for Video Anomaly Detection
* 2014: Ghost-Free High Dynamic Range Imaging via Rank Minimization
* 2014: Group structured dirty dictionary learning for classification
* 2014: Multi-task image classification via collaborative, hierarchical spike-and-slab priors
* 2014: Simultaneous Sparsity Model for Histopathological Image Representation and Classification
* 2014: Simultaneous sparsity model for multi-perspective video anomaly detection
* 2014: Twofold video hashing with automatic synchronization
* 2015: Iterative Convex Refinement for Sparse Recovery
* 2015: MAP estimation framework for HDR video synthesis, A
* 2015: Structured Sparse Priors for Image Classification
* 2016: Histopathological Image Classification Using Discriminative Feature-Oriented Dictionary Learning
* 2016: Learning a low-rank shared dictionary for object classification
* 2016: Power-Constrained RGB-to-RGBW Conversion for Emissive Displays: Optimization-Based Approaches
* 2016: SIASM: Sparsity-based image alignment and stitching method for robust image mosaicking
* 2016: Sparsity based super resolution using color channel constraints
* 2017: Deep Wavelet Prediction for Image Super-Resolution
* 2017: Fast Low-Rank Shared Dictionary Learning for Image Classification
* 2017: Maximum a Posteriori Estimation Framework for Robust High Dynamic Range Video Synthesis, A
* 2017: NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
* 2017: Robust Sonar ATR Through Bayesian Pose-Corrected Sparse Classification
* 2017: Sparsity-Based Color Image Super Resolution via Exploiting Cross Channel Constraints
* 2018: Deep MR Image Super-Resolution Using Structural Priors
* 2018: Deep Networks with Shape Priors for Nucleus Detection
* 2019: Adaptive Transform Domain Image Super-Resolution via Orthogonally Regularized Deep Networks
* 2019: Multi-Scale Regularized Deep Network for Retinal Vessel Segmentation
* 2019: Prior Information Guided Regularized Deep Learning for Cell Nucleus Detection
* 2019: Robust Alignment for Panoramic Stitching Via an Exact Rank Constraint
* 2020: Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors
* 2020: Deep Retinal Image Segmentation With Regularization Under Geometric Priors
* 2020: Ensemble Dehazing Networks for Non-homogeneous Haze
* 2020: Multiview Automatic Target Recognition for Infrared Imagery Using Collaborative Sparse Priors
* 2020: NonLocal Channel Attention for NonHomogeneous Image Dehazing
* 2020: NTIRE 2020 Challenge on NonHomogeneous Dehazing
* 2021: Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
* 2021: NTIRE 2021 Depth Guided Image Relighting Challenge
* 2021: NTIRE 2021 NonHomogeneous Dehazing Challenge Report
* 2021: Physically Inspired Dense Fusion Networks for Relighting
* 2021: Simultaneous Denoising and Localization Network for Photoacoustic Target Localization
* 2022: GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction
* 2022: Robust Deep 3D Blood Vessel Segmentation Using Structural Priors
* 2022: Structural Prior Driven Regularized Deep Learning for Sonar Image Classification
* 2023: Convergent Neural Network for Non-Blind Image Deblurring, A
* 2023: Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report
* 2023: NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report
* 2023: TransER: Hybrid Model and Ensemble-based Sequential Learning for Non-homogenous Dehazing
* 2025: CLIF-Net: Intersection-Guided Cross-View Fusion Network for Infection Detection From Cranial Ultrasound
Includes: Monga, V. Monga, V.[Vishal]
63 for Monga, V.
Mongeau, M.
* 2014: North Atlantic Aircraft Trajectory Optimization
Mongeau, R.
* 2017: Acquisition And Processing of High Resolution Hyperspectral Imageries For the 3D Mapping of Urban Heat Islands And Microparticles of Montreal
Mongelli, M.
* 2015: Neural Approximations of Analog Joint Source-Channel Coding
* 2026: novel score function for conformal prediction in rule-based binary classification, A
Includes: Mongelli, M. Mongelli, M.[Maurizio]
Mongenet, C.
* 1998: Parallel Algorithm to Reconstruct Bounding Surfaces in 3D Images, A
Monger, D.
* 1995: Evaluation of an Interactive Tool for Handwritten Form Description
Monger, P.[Patricia]
* 2006: Real-Time Detection of Out-of-Plane Objects in Stereo Vision
Mongia, R.
* 2013: Patch Volumes: Segmentation-Based Consistent Mapping with RGB-D Cameras
Mongiello, M.
* 2002: Spatial layout representation for query-by-sketch content-based image retrieval
* 2002: Structured Knowledge Representation for Image Retrieval
* 2004: Retrieval by Spatial Similarity: An Algorithm and a Comparative Evaluation
Mongkulmann, W.[Wiennat]
* 2011: Photometric stereo with auto-radiometric calibration
* 2016: Auto-Radiometric Calibration in Photometric Stereo
Monguet Fierro, J.M.[Josep Maria]
* 2017: Collection and Integration of Local Knowledge and Experience through a Collective Spatial Analysis
Includes: Monguet Fierro, J.M.[Josep Maria] Monguet-Fierro, J.M.[Josep Marķa]
Mongus, D.
* 2011: Lossless Compression of Segmented CT Medical Images According to the Hounsfield Scale
* 2012: Parameter-free ground filtering of LiDAR data for automatic DTM generation
* 2014: Ground and building extraction from LiDAR data based on differential morphological profiles and locally fitted surfaces
* 2015: efficient approach to 3D single tree-crown delineation in LiDAR data, An
* 2015: universal chain code compression method, A
* 2016: Context-dependent detection of non-linearly distributed points for vegetation classification in airborne LiDAR
* 2016: Unsigned Manhattan chain code
* 2019: Kinematic GPR-TPS Model for Infrastructure Asset Identification with High 3D Georeference Accuracy Developed in a Real Urban Test Field
* 2021: Complete Environmental Intelligence System for LiDAR-Based Vegetation Management in Power-Line Corridors, A
* 2021: Lossless chain code compression with an improved Binary Adaptive Sequential Coding of zero-runs
* 2023: Detection and Monitoring of Woody Vegetation Landscape Features Using Periodic Aerial Photography
* 2025: Optimization-Based Downscaling of Satellite-Derived Isotropic Broadband Albedo to High Resolution
Includes: Mongus, D. Mongus, D.[Domen]
12 for Mongus, D.