Index for cong

Cong, D.[Dianwei] * 2024: Integrated Detection and Multi-Object Tracking Pipeline for Satellite Video Analysis of Maritime and Aerial Objects, An

Cong, D.C.[De Chun] * 2019: VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results
Includes: Cong, D.C.[De Chun] Cong, D.C.[De-Chun]

Cong, D.N.T.[Dung Nghi Truong] * 2009: People Re-Identification by Means of a Camera Network Using a Graph-Based Approach
* 2009: Video Sequences Association for People Re-identification across Multiple Non-overlapping Cameras
* 2010: People Detection and Re-Identification in Complex Environments
* 2010: People re-identification by classification of silhouettes based on sparse representation
* 2010: People Reacquisition across Multiple Cameras with Disjoint Views
* 2011: Adaptive Model for Object Detection in Noisy and Fast-Varying Environment
Includes: Cong, D.N.T.[Dung Nghi Truong] Cong, D.N.T.[Dung-Nghi Truong]

Cong, D.Y.[Ding Yan] * 2023: Vehicular Behavior-Aware Beamforming Design for Integrated Sensing and Communication Systems
Includes: Cong, D.Y.[Ding Yan] Cong, D.Y.[Ding-Yan]

Cong, F. * 2013: Linking Brain Responses to Naturalistic Music Through Analysis of Ongoing EEG and Stimulus Features
* 2020: Shift-Invariant Canonical Polyadic Decomposition of Complex-Valued Multi-Subject fMRI Data With a Phase Sparsity Constraint
* 2022: Anomaly Matters: An Anomaly-Oriented Model for Medical Visual Question Answering
Includes: Cong, F. Cong, F.[Fuze]

Cong, F.Y.[Feng Yu] * 2019: Double coupled canonical polyadic decomposition of third-order tensors: Algebraic algorithm and relaxed uniqueness conditions
* 2022: Driver Distraction Detection Using Bidirectional Long Short-Term Network Based on Multiscale Entropy of EEG
* 2022: Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition With Spatial Sparsity Constraint
* 2023: Automatic cervical cancer segmentation in multimodal magnetic resonance imaging using an EfficientNet encoder in UNet++ architecture
Includes: Cong, F.Y.[Feng Yu] Cong, F.Y.[Feng-Yu]

Cong, G.[Ge] * 1996: Dyadic Scale-Space
* 1996: Nonlinear Diffusion for Early Vision
* 1997: Dyadic Scale-Space
* 1998: Corner Enhancement in Curvature Scale Space
* 1998: Curve Evolution for Corner Enhancement
* 1998: Shape from Equal Thickness Contours
* 1998: Shape from Interference Patterns
* 1998: Surface Reconstruction from Sparse Fringe Contours
* 1999: Algebraic Solution to Surface Recovery from Cross-Sectional Contours, An
* 1999: Model-Based Segmentation of Nuclei
* 2000: Model-Based Segmentation of Nuclei
* 2000: New Regularized Approach for Contour Morphing, A
* 2000: Shape Recovery from Equal Thickness Contours
* 2000: Surface Recovery from Planar Sectional Contours
* 2004: Shape metamorphism using p-Laplacian equation
* 2019: Video Action Recognition With an Additional End-to-End Trained Temporal Stream
* 2021: Survey on Trajectory Data Management, Analytics, and Learning, A
* 2023: Geographic mapping with unsupervised multi-modal representation learning from VHR images and POIs
Includes: Cong, G.[Ge] Cong, G. Cong, G.[Gao]
18 for Cong, G.

Cong, G.X.[Gao Xiang] * 2023: Learning to Dub Movies via Hierarchical Prosody Models
Includes: Cong, G.X.[Gao Xiang] Cong, G.X.[Gao-Xiang]

Cong, H.[Heng] * 2022: Image Quality Assessment with Gradient Siamese Network
* 2023: Monocular Depth Estimation Challenge, The
* 2023: NTIRE 2023 Quality Assessment of Video Enhancement Challenge

Cong, H.P. * 2020: Quality Evaluation Of Static Point Clouds Encoded Using MPEG Codecs

Cong, J.[Jason] * 2011: EM+TV Based Reconstruction for Cone-Beam CT with Reduced Radiation
* 2020: Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning
* 2020: SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network
* 2021: Solving Jigsaw Puzzles via Nonconvex Quadratic Programming With the Projected Power Method
Includes: Cong, J.[Jason] Cong, J. Cong, J.[Jinyu]

Cong, J.M.[Jia Min] * 2019: Improved algorithms for trip-chain estimation using massive student behaviour data from urban transit systems
Includes: Cong, J.M.[Jia Min] Cong, J.M.[Jia-Min]

Cong, J.Y.[Jing Yu] * 2021: Fast Target Localization Method for FMCW MIMO Radar via VDSR Neural Network
Includes: Cong, J.Y.[Jing Yu] Cong, J.Y.[Jing-Yu]

Cong, L.[Lin] * 2005: Unsupervised Image Segmentation Using Contourlet Domain Hidden Markov Trees Model
* 2010: Grid pattern based residential area detection from Hyperion data
* 2011: Selective image abstraction
* 2012: Estimation of oil thickness and aging from hyperspectral signature
* 2018: Image segmentation algorithm based on superpixel clustering
* 2019: Image segmentation algorithm based on superpixel clustering
* 2020: Super-pixel image segmentation algorithm based on adaptive equalisation feature parameters
* 2022: Integrated Method for River Water Level Recognition from Surveillance Images Using Convolution Neural Networks, An
* 2023: Edge Consistency Feature Extraction Method for Multi-Source Image Registration
* 2023: Edge Intelligence Empowered Vehicle Detection and Image Segmentation for Autonomous Vehicles
* 2024: Impact of the Russia-Ukraine Conflict on Global Marine Network Based on Massive Vessel Trajectories
Includes: Cong, L.[Lin] Cong, L.[Li]
11 for Cong, L.

Cong, M.[Matthew] * 2019: High-Quality Face Capture Using Anatomical Muscles
* 2020: Multi-scale Fast Detection of Objects in High Resolution Remote Sensing Images
* 2021: Dynamic Wide and Deep Neural Network for Hyperspectral Image Classification
* 2021: Wide Sliding Window and Subsampling Network for Hyperspectral Image Classification
* 2022: Wide and Deep Fourier Neural Network for Hyperspectral Remote Sensing Image Classification
* 2023: Fusing Multiple Land Cover Products Based on Locally Estimated Map-Reference Cover Type Transition Probabilities
Includes: Cong, M.[Matthew] Cong, M.[Ming]

Cong, M.Y.[Ming Yu] * 2015: On-Orbit Calibration Data-Processing Technologies for the Space-Based Infrared Camera
* 2022: Development of a Landscape-Based Multi-Metric Index to Assess Wetland Health of the Poyang Lake
* 2023: Comprehensive Multi-Metric Index for Health Assessment of the Poyang Lake Wetland, A
Includes: Cong, M.Y.[Ming Yu] Cong, M.Y.[Ming-Yu] Cong, M.Y.[Ming-Yang]

Cong, N.[Nan] * 2022: Ecological Engineering Projects Shifted the Dominance of Human Activity and Climate Variability on Vegetation Dynamics
* 2023: Spatiotemporal Gravitational Evolution of the Night Land Surface Temperature: An Empirical Study Based on Night Lights
* 2023: Study on Factors Affecting Remote Sensing Ecological Quality Combined with Sentinel-2

Cong, P.[Pifu] * 2021: Continuous Change Mapping to Understand Wetland Quantity and Quality Evolution and Driving Forces: A Case Study in the Liao River Estuary from 1986 to 2018

Cong, P.S.[Pei Shan] * 2022: STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes
* 2023: Human-Centric Scene Understanding for 3D Large-Scale Scenarios
Includes: Cong, P.S.[Pei Shan] Cong, P.S.[Pei-Shan]

Cong, P.T.[Pei Tong] * 2021: Assessing Spatial Heterogeneity of Factor Interactions on PM2.5 Concentrations in Chinese Cities
* 2021: Assessing the Effects of Land Cover Land Use Change on Precipitation Dynamics in Guangdong-Hong Kong-Macao Greater Bay Area from 2001 to 2019
Includes: Cong, P.T.[Pei Tong] Cong, P.T.[Pei-Tong]

Cong, P.Y.[Peng Yu] * 2012: Depth sensing with focus and exposure adaptation
* 2013: Accurate 3D reconstruction of dynamic scenes with Fourier transform assisted phase shifting
* 2013: Dense single-shot 3D scanning via stereoscopic fringe analysis
* 2014: Robust depth sensing with adaptive structured light illumination
Includes: Cong, P.Y.[Peng Yu] Cong, P.Y.[Peng-Yu]

Cong, R. * 2019: Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution
* 2019: Review of Visual Saliency Detection With Comprehensive Information
* 2019: Spatiotemporal Analysis On Co2 Emissions From Households in Japan
* 2019: Superpixel Segmentation Based on Square-Wise Asymmetric Partition and Structural Approximation
* 2020: Evidence for the Development of Energy Resilience In Fukushima Prefecture After the Great East Japan Earthquake
* 2020: MCMT-GAN: Multi-Task Coherent Modality Transferable GAN for 3D Brain Image Synthesis
* 2020: PDR-Net: Perception-Inspired Single Image Dehazing Network With Refinement
* 2020: Perceptual hashing for image authentication: A survey
* 2021: DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection
* 2021: Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline
* 2021: Two-Branch Deep Neural Network for Underwater Image Enhancement in HSV Color Space
* 2022: Image Dehazing Transformer with Transmission-Aware 3D Position Embedding
* 2022: Unsupervised Decomposition and Correction Network for Low-Light Image Enhancement
* 2023: Deep Video Stabilization via Robust Homography Estimation
* 2023: Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline
* 2023: Does Thermal Really Always Matter for RGB-T Salient Object Detection?
* 2023: Learning Detail-Structure Alternative Optimization for Blind Super-Resolution
* 2023: WaterMask: Instance Segmentation for Underwater Imagery
* 2023: WaveNet: Wavelet Network With Knowledge Distillation for RGB-T Salient Object Detection
* 2024: Decoupling and Integration Network for Camouflaged Object Detection
* 2024: Exploring Resolution Fields for Scalable Image Compression With Uncertainty Guidance
* 2024: Query-Guided Prototype Evolution Network for Few-Shot Segmentation
* 2024: Reflection Intensity Guided Single Image Reflection Removal and Transmission Recovery
* 2024: Stereo Superpixel Segmentation via Decoupled Dynamic Spatial-Embedding Fusion Network
Includes: Cong, R. Cong, R.[Runmin]
24 for Cong, R.

Cong, R.M.[Run Min] * 2016: Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion
* 2016: Underwater Image Enhancement by Dehazing With Minimum Information Loss and Histogram Distribution Prior
* 2017: hybrid method for underwater image correction, A
* 2018: Co-Saliency Detection for RGBD Images Based on Multi-Constraint Feature Matching and Cross Label Propagation
* 2019: HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images
* 2019: Nested Network With Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images
* 2019: Video Saliency Detection via Sparsity-Based Reconstruction and Propagation
* 2020: Going From RGB to RGBD Saliency: A Depth-Guided Transformation Model
* 2020: Joint Spatial-Spectral Hyperspectral Image Classification Based on Convolutional Neural Network
* 2020: RGB-D Salient Object Detection with Cross-modality Modulation and Selection
* 2020: Underwater Image Enhancement Benchmark Dataset and Beyond, An
* 2020: Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
* 2021: ASIF-Net: Attention Steered Interweave Fusion Network for RGB-D Salient Object Detection
* 2021: Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
* 2021: Dynamic Selective Network for RGB-D Salient Object Detection
* 2021: reference-free underwater image quality assessment metric in frequency domain, A
* 2021: Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
* 2022: CIR-Net: Cross-Modality Interaction and Refinement for RGB-D Salient Object Detection
* 2022: Cross-Modality Fusion and Progressive Integration Network for Saliency Prediction on Stereoscopic 3D Images
* 2022: Underwater Image Enhancement Quality Evaluation: Benchmark Dataset and Objective Metric
* 2023: PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators
* 2023: Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels, A
Includes: Cong, R.M.[Run Min] Cong, R.M.[Run-Min] Cong, R.M.
22 for Cong, R.M.

Cong, R.X.[Rui Xuan] * 2022: UrbanLF: A Comprehensive Light Field Dataset for Semantic Segmentation of Urban Scenes
* 2023: Combining Implicit-Explicit View Correlation for Light Field Semantic Segmentation
* 2023: Cross-View Recurrence-Based Self-Supervised Super-Resolution of Light Field
* 2023: Disentangling Local and Global Information for Light Field Depth Estimation
* 2023: EPI-Guided Cost Construction Network for Light Field Disparity Estimation
* 2023: LFNAT 2023 Challenge on Light Field Depth Estimation: Methods and Results
* 2023: Multi-view Semantic Information Guidance for Light Field Image Segmentation
* 2023: NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results
* 2024: Exploiting Spatial and Angular Correlations With Deep Efficient Transformers for Light Field Image Super-Resolution
Includes: Cong, R.X.[Rui Xuan] Cong, R.X.[Rui-Xuan]
9 for Cong, R.X.

Cong, S.[Shan] * 2019: Diffeomorphic Metric Learning and Template Optimization for Registration-based Predictive Models
* 2022: Automatic Vehicle Avoidance Control Model for Dangerous Lane-Changing Behavior, An
* 2022: Deep Learning Method for Grasping Novel Objects Using Dexterous Hands
* 2023: Clothed Human Performance Capture with a Double-layer Neural Radiance Fields
* 2024: Adversarially Trained Persistent Homology Based Graph Convolutional Network for Disease Identification Using Brain Connectivity
Includes: Cong, S.[Shan] Cong, S.[Sensen] Cong, S.[Shuang] Cong, S.[Suxu]

Cong, V.D.[Vo Duy] * 2022: Implement contour following task of objects with unknown geometric models by using combination of two visual servoing techniques

Cong, W. * 2018: 3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network
* 2018: 3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network
* 2020: CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)
* 2020: Topology Optimization Using Multiple-Possibility Fusion for Vasculature Extraction
* 2023: Deep Image Harmonization with Learnable Augmentation
* 2023: Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts
* 2023: Federated Incremental Semantic Segmentation
* 2024: Gradient-Semantic Compensation for Incremental Semantic Segmentation
* 2024: Self-Paced Weight Consolidation for Continual Learning
Includes: Cong, W. Cong, W.[Wenyan] Cong, W.[Wei]
9 for Cong, W.

Cong, W.X.[Wen Xiang] * 2015: Spectral CT Modeling and Reconstruction With Hybrid Detectors in Dynamic-Threshold-Based Counting and Integrating Modes
* 2021: Deep Interactive Denoiser (DID) for X-Ray Computed Tomography
Includes: Cong, W.X.[Wen Xiang] Cong, W.X.[Wen-Xiang]

Cong, W.Y.[Wen Yan] * 2020: DoveNet: Deep Image Harmonization via Domain Verification
* 2022: High-Resolution Image Harmonization via Collaborative Dual Transformations
Includes: Cong, W.Y.[Wen Yan] Cong, W.Y.[Wen-Yan]

Cong, X. * 2011: Imaging Geodesy: Toward Centimeter-Level Ranging Accuracy With TerraSAR-X

Cong, X.D.[Xiao Dan] * 2020: Indoor and Outdoor Low-Cost Seamless Integrated Navigation System Based on the Integration of INS/GNSS/LIDAR System
Includes: Cong, X.D.[Xiao Dan] Cong, X.D.[Xiao-Dan]

Cong, X.F.[Xiao Feng] * 2023: Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning, A
* 2023: NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report
* 2024: Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding
Includes: Cong, X.F.[Xiao Feng] Cong, X.F.[Xiao-Feng]

Cong, X.Y. * 2013: Precise 2-D and 3-D Ground Target Localization with TerraSAR-X
* 2018: Mitigation of Tropospheric Delay in SAR and InSAR Using NWP Data: Its Validation and Application Examples
* 2023: Frequency Agile Anti-Interference Technology Based on Reinforcement Learning Using Long Short-Term Memory and Multi-Layer Historical Information Observation
Includes: Cong, X.Y. Cong, X.Y.[Xiao-Ying] Cong, X.Y.[Xiao-Yu]

Cong, Y.[Yang] * 2008: Lunar terrain reconstruction using PDEs
* 2009: Flow mosaicking: Real-time pedestrian counting without scene-specific learning
* 2011: Sparse reconstruction cost for abnormal event detection
* 2012: Active drift correction template tracking algorithm
* 2012: Local Line Derivative Pattern for face recognition
* 2012: Object tracking via online metric learning
* 2012: Self-closed partial shape descriptor for shape retrieval
* 2012: Towards Scalable Summarization of Consumer Videos Via Sparse Dictionary Selection
* 2013: Abnormal Event Detection in Crowded Scenes Using Sparse Representation
* 2013: Robust and accurate online pose estimation algorithm via efficient three-dimensional collinearity model
* 2013: Self-Supervised Online Metric Learning With Low Rank Constraint for Scene Categorization
* 2014: Discriminative multi-task objects tracking with active feature selection and drift correction
* 2014: Online Learning a High-Quality Dictionary and Classifier Jointly for Multitask Object Tracking
* 2014: Unified Online Dictionary Learning Framework with Label Information for Robust Object Tracking, A
* 2015: Computer aided endoscope diagnosis via weakly labeled data mining
* 2015: Deep sparse feature selection for computer aided endoscopy diagnosis
* 2015: Multifaceted Approach to Social Multimedia-Based Prediction of Elections, A
* 2015: Object detection based on scale-invariant partial shape matching
* 2015: Real-time one-dimensional motion estimation and its application in computer vision
* 2015: Speeded Up Low-Rank Online Metric Learning for Object Tracking
* 2016: Structured low rank tracker with smoothed regularization
* 2017: Adaptive Greedy Dictionary Selection for Web Media Summarization
* 2017: Consistent multi-layer subtask tracker via hyper-graph regularization
* 2017: Large receptive field convolutional neural network for image super-resolution
* 2017: Layered Multitask Tracker via Spatial-Temporal Laplacian Graph
* 2017: Recording Information On Architectural Heritage Should Meet The Requirements for Conservation Digital Recording Practices at the Summer Palace
* 2018: Dual-Graph Regularized Discriminative Multitask Tracker
* 2018: Online Low-Rank Metric Learning via Parallel Coordinate Descent Method
* 2018: Structured and weighted multi-task low rank tracker
* 2018: User attribute discovery with missing labels
* 2019: Efficient 3D object recognition via geometric information preservation
* 2019: Integration of a Low-cost Multisensory UAV System for Forest Application
* 2019: Laplacian pyramid adversarial network for face completion
* 2019: Low-cost Wheeled Robot-borne Laser Scanning System for Indoor And Outdoor 3d Mapping Application
* 2019: Memory-Based Parameterized Skills Learning for Mapless Visual Navigation
* 2019: Novel event analysis for human-machine collaborative underwater exploration
* 2019: Online Multi-Task Clustering for Human Motion Segmentation
* 2019: Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation
* 2019: Speedup 3-D Texture-Less Object Recognition Against Self-Occlusion for Intelligent Manufacturing
* 2020: CSCL: Critical Semantic-consistent Learning for Unsupervised Domain Adaptation
* 2020: Dual Refinement Underwater Object Detection Network
* 2020: Mapping Without Dynamic: Robust Lidar-SLAM for UGV Mobile Mapping In Dynamic Environments
* 2020: Nodis: Neural Ordinary Differential Scene Understanding
* 2020: Reliable Multi-Kernel Subtask Graph Correlation Tracker
* 2020: Segment-based Lidar Odometry for Less Structured Outdoor Scene
* 2020: TPN: Topological Perception Network For 3d Mesh Representation
* 2020: What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation
* 2021: Dynamic and reliable subtask tracker with general schatten p-norm regularization
* 2021: L3DOC: Lifelong 3D Object Classification
* 2021: Robust 3-D Object Recognition via View-Specific Constraint
* 2021: Spatial-Temporal Transformer for Dynamic Scene Graph Generation
* 2021: Structured and Consistent Multi-Layer Multi-Kernel Subtask Correction Filter Tracker
* 2021: Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence
* 2021: Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation
* 2022: Coordinated Path-Following Control of Fixed-Wing Unmanned Aerial Vehicles
* 2022: Devil is in the Pose: Ambiguity-free 3D Rotation-invariant Learning via Pose-aware Convolution, The
* 2022: Dual Aligned Siamese Dense Regression Tracker
* 2022: Evolving Metric Learning for Incremental and Decremental Features
* 2022: Lifelong robotic visual-tactile perception learning
* 2022: MedUCC: Medium-Driven Underwater Camera Calibration for Refractive 3-D Reconstruction
* 2022: Partial Visual-Tactile Fused Learning for Robotic Object Recognition
* 2022: Visual-Tactile Fused Graph Learning for Object Clustering
* 2022: What and How: Generalized Lifelong Spectral Clustering via Dual Memory
* 2023: Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection
* 2023: Autonomous Manipulation Learning for Similar Deformable Objects via Only One Demonstration
* 2023: Comprehensive Study of 3-D Vision-Based Robot Manipulation, A
* 2023: Federated Incremental Semantic Segmentation
* 2023: Heterogeneous Forgetting Compensation for Class-Incremental Learning
* 2023: Lifelong Visual-Tactile Spectral Clustering for Robotic Object Perception
* 2023: RelTR: Relation Transformer for Scene Graph Generation
* 2023: SSGVS: Semantic Scene Graph-to-Video Synthesis
* 2023: Uni3DA: Universal 3D Domain Adaptation for Object Recognition
* 2024: Gradient-Semantic Compensation for Incremental Semantic Segmentation
* 2024: IOSL: Incremental Open Set Learning
* 2024: No One Left Behind: Real-World Federated Class-Incremental Learning
* 2024: Self-Paced Weight Consolidation for Continual Learning
* 2024: Where and How to Transfer: Knowledge Aggregation-Induced Transferability Perception for Unsupervised Domain Adaptation
Includes: Cong, Y.[Yang] Cong, Y. Cong, Y.[Yuren] Cong, Y.[Yirui]
77 for Cong, Y.

Cong, Y.H.[Yong Hui] * 2012: Cross-modal topic correlations for multimedia retrieval
* 2023: Sparse coding with morphology segmentation and multi-label fusion for hyperspectral image super-resolution
Includes: Cong, Y.H.[Yong Hui] Cong, Y.H.[Yong-Hui] Cong, Y.H.[Yu-Hua]

Cong, Y.L.[Yu Lai] * 2021: Deep Autoencoding Topic Model With Scalable Hybrid Bayesian Inference
Includes: Cong, Y.L.[Yu Lai] Cong, Y.L.[Yu-Lai]

Cong, Y.Z.[Yang Zi] * 2019: 3D Forest Mapping Using A Low-Cost UAV Laser Scanning System: Investigation and Comparison
* 2021: 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection
* 2022: 3D-CSTM: A 3D continuous spatio-temporal mapping method
* 2022: CG-SSD: Corner guided single stage 3D object detection from LiDAR point cloud
* 2023: CAOM: Change-aware online 3D mapping with heterogeneous multi-beam and push-broom LiDAR point clouds
Includes: Cong, Y.Z.[Yang Zi] Cong, Y.Z.[Yang-Zi] Cong, Y.Z.[Ye-Zhen]

Cong, Z.T.[Zhen Tao] * 2023: Remotely Sensed Soil Moisture Assimilation in the Distributed Hydrological Model Based on the Error Subspace Transform Kalman Filter
Includes: Cong, Z.T.[Zhen Tao] Cong, Z.T.[Zhen-Tao]

Cong, Z.X.[Zhang Xin] * 1988: study of human brain electrical activity: A topographic mapping approach, The
Includes: Cong, Z.X.[Zhang Xin] Cong, Z.X.[Zhang-Xin]

Congalton, R.G. * 1997: Exploring and Evaluating the Consequences of Vector-to-Raster and Raster-to-Vector Conversion
* 1998: Quantitative Comparison of Change-Detection Algorithms for Monitoring Eelgrass from Remotely-Sensed Data
* 2003: Comparison of Urban Mapping Methods Using High-Resolution Digital Imagery, A
* 2008: Assessing the Accuracy of Remotely Sensed Data: Principles and Practices
* 2014: Global Land Cover Mapping: A Review and Uncertainty Analysis
* 2015: Impact of Positional Errors on Soft Classification Accuracy Assessment: A Simulation Analysis, The
* 2015: Uncertainty Analysis in the Creation of a Fine-Resolution Leaf Area Index (LAI) Reference Map for Validation of Moderate Resolution LAI Products
* 2017: Automated cropland mapping of continental Africa using Google Earth Engine cloud computing
* 2017: Impact of Mapping Error on the Performance of Upscaling Agricultural Maps, The
* 2017: Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine
* 2018: 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform, A
* 2018: Accuracy Assessment of Global Food Security-Support Analysis Data (GFSAD) Cropland Extent Maps Produced at Three Different Spatial Resolutions
* 2018: Issues in Unmanned Aerial Systems (UAS) Data Collection of Complex Forest Environments
* 2018: Issues with Large Area Thematic Accuracy Assessment for Mapping Cropland Extent: A Tale of Three Continents
* 2018: Using a Similarity Matrix Approach to Evaluate the Accuracy of Rescaled Maps
* 2019: Accuracy Assessment of Global Food Security-Support Analysis Data (GFSAD) Cropland Extent Maps Produced at Three Different Spatial Resolutions
* 2020: Analysis of the Impact of Positional Accuracy When Using a Single Pixel for Thematic Accuracy Assessment
* 2020: Individual Tree Crown Delineation from UAS Imagery Based on Region Growing and Growth Space Considerations
* 2020: Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine
* 2021: Comparison of Multi-Temporal RGB and Multispectral UAS Imagery for Tree Species Classification in Heterogeneous New Hampshire Forests, A
* 2021: Estimating Primary Forest Attributes and Rare Community Characteristics Using Unmanned Aerial Systems (UAS): An Enrichment of Conventional Forest Inventories
* 2021: Monitoring Fine-Scale Forest Health Using Unmanned Aerial Systems (UAS) Multispectral Models
* 2023: Using Imagery Collected by an Unmanned Aerial System to Monitor Cyanobacteria in New Hampshire, USA, Lakes
Includes: Congalton, R.G. Congalton, R.G.[Russell G.]
23 for Congalton, R.G.

Congedo, G. * 1995: Describing words by graphs
* 1995: robust analytical approach for handwritten word recognition, A
* 1995: Selecting reference signatures for on-line signature verification

Congedo, L.[Luca] * 2017: Mapping and Assessment of PM10 and O3 Removal by Woody Vegetation at Urban and Regional Level
* 2018: Urban Imperviousness Effects on Summer Surface Temperatures Nearby Residential Buildings in Different Urban Zones of Parma
* 2021: Thermal Summer Diurnal Hot-Spot Analysis: The Role of Local Urban Features Layers
* 2023: Estimating Afforestation Area Using Landsat Time Series and Photointerpreted Datasets

Congiu, A.[Alberto] * 2009: First International Fingerprint Liveness Detection Competition: LivDet 2009

Congiu, G. * 1995: Symbolic indexing of cardiological sequences through dynamic curve representations

Congote, J.[John] * 2010: Real-time depth map generation architecture for 3D videoconferencing
* 2011: Statistical Tuning of Adaptive-Weight Depth Map Algorithm
* 2013: Tuning of Adaptive Weight Depth Map Generation Algorithms

Congram, B.[Benjamin] * 2021: Relatively Lazy: Indoor-Outdoor Navigation Using Vision and GNSS

Index for "c"


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