Dian, R.[Renwei]
* 2016: Non-local sparse representation for hyperspectral image super-resolution
* 2017: Hyperspectral Image Super-Resolution via Non-local Sparse Tensor Factorization
* 2018: Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization
* 2019: Hyperspectral Image Super-Resolution via Subspace-Based Low Tensor Multi-Rank Regularization
* 2020: Nonlocal Sparse Tensor Factorization for Semiblind Hyperspectral and Multispectral Image Fusion
* 2022: NTIRE 2022 Spectral Recovery Challenge and Data Set
* 2023: Deep Framework for Hyperspectral Image Fusion Between Different Satellites, A
* 2023: FSNet: Focus Scanning Network for Camouflaged Object Detection
* 2023: Zero-Shot Hyperspectral Sharpening
* 2024: Focus Relationship Perception for Unsupervised Multi-Focus Image Fusion
Includes: Dian, R.[Renwei] Dian, R.
10 for Dian, R.
Dian, R.W.[Ren Wei]
* 2024: Click-Pixel Cognition Fusion Network With Balanced Cut for Interactive Image Segmentation
Includes: Dian, R.W.[Ren Wei] Dian, R.W.[Ren-Wei]
Dian, Y.[Yuanyong]
* 2021: Characterizing Spatial Patterns of Pine Wood Nematode Outbreaks in Subtropical Zone in China
* 2023: Seasonal Variations of the Relationship between Spectral Indexes and Land Surface Temperature Based on Local Climate Zones: A Study in Three Yangtze River Megacities
Dian, Y.Y.[Yuan Yong]
* 2016: Improving Seasonal Land Cover Maps of Poyang Lake Area in China by Taking into Account Logical Transitions
* 2016: LiCHy: The CAF's LiDAR, CCD and Hyperspectral Integrated Airborne Observation System
* 2020: Comparing Fully Deep Convolutional Neural Networks for Land Cover Classification with High-Spatial-Resolution Gaofen-2 Images
* 2021: Evaluating the Performance of Hyperspectral Leaf Reflectance to Detect Water Stress and Estimation of Photosynthetic Capacities
* 2022: Detection of Standing Dead Trees after Pine Wilt Disease Outbreak with Airborne Remote Sensing Imagery by Multi-Scale Spatial Attention Deep Learning and Gaussian Kernel Approach
* 2022: Logging Pattern Detection by Multispectral Remote Sensing Imagery in North Subtropical Plantation Forests
* 2023: Functional Zoning Method in Rural Landscape Based on High-Resolution Satellite Imagery, A
* 2023: Utilizing Hyperspectral Reflectance and Machine Learning Algorithms for Non-Destructive Estimation of Chlorophyll Content in Citrus Leaves
Includes: Dian, Y.Y.[Yuan Yong] Dian, Y.Y.[Yuan-Yong]
8 for Dian, Y.Y.
Diana Albelda, C.[Cecilia]
* 2023: Self-supervised Monocular Depth Estimation on Unseen Synthetic Cameras
Includes: Diana Albelda, C.[Cecilia] Diana-Albelda, C.[Cecilia]
Diana, B.
* 2013: Imposing cognitive load to unmask prepared lies
Diana, L.[Lorenzo]
* 2020: CloudScout: A Deep Neural Network for On-Board Cloud Detection on Hyperspectral Images
* 2021: Oil Spill Identification from SAR Images for Low Power Embedded Systems Using CNN
Diana, M.
* 2014: Fluorescence-Based Enhanced Reality for Colorectal Endoscopic Surgery
Diana, M.P.[M. Perriman]
* 2021: Two-stage U-Net++ for Medical Image Segmentation
Diana, S.[Sebastien]
* 1997: Extraction of Information Structures on a Form Base
* 1997: From Acquisition to Modelisation of a Form Base to Retrieve Information
* 1998: Classification Method Study for Automatic Form Class Identification
* 2000: Classifiers Combination for Forms Sorting
Includes: Diana, S.[Sebastien] Diana, S.
Dianat, R.
* 2005: Enhanced cross-diamond-hexagonal search algorithms for fast block motion estimation
* 2005: Low Bit Rate Hybrid Wavelet-DCT Video Codec, A
* 2006: Reliable Video Transmission Using Codes Close to the Channel Capacity
* 2010: Dimension Reduction of Optical Remote Sensing Images via Minimum Change Rate Deviation Method
Dianat, S.A.[Sohail A.]
* 2009: adaptive and progressive approach for efficient Gradient-based multiresolution color image segmentation, An
* 2009: Hyperspectral image enhancement with vector bilateral filtering
* 2009: multidimensional smoothing algorithm with applications to digital color printer calibration, A
* 2010: Point-and-click region based method for color editing and control for digital color printers
* 2011: Semi-automatic 3-D segmentation of Computed Tomographic imagery by iterative gradient-driven volume growing
* 2012: Nonnegative matrix factorization with deterministic annealing for unsupervised unmixing of hyperspectral imagery
* 2012: Optimized vector bilateral filter for multispectral image denoising
* 2014: Multispectral Image Denoising With Optimized Vector Bilateral Filter
* 2017: Superpixel tracking using Kalman filter
9 for Dianat, S.A.
Dianati, M.
* 2012: Analytical Study of the IEEE 802.11p MAC Sublayer in Vehicular Networks
* 2016: Performance Analysis of Differential Modulation in SWIPT Cooperative Networks
* 2019: Survey on 3D Object Detection Methods for Autonomous Driving Applications, A
* 2020: Trajectory Planning for Autonomous High-Speed Overtaking in Structured Environments Using Robust MPC
* 2022: Cooperative Perception for 3D Object Detection in Driving Scenarios Using Infrastructure Sensors
* 2022: Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review
* 2022: Distributed H8 Controller Design and Robustness Analysis for Vehicle Platooning Under Random Packet Drop
* 2022: Guest Editorial Special Issue on Space-Air-Ground Integrated Networks for Intelligent Transportation Systems
* 2022: Integrity Monitoring of GNSS/INS Based Positioning Systems for Autonomous Vehicles: State-of-the-Art and Open Challenges
* 2022: Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles, A
* 2023: Accelerating Stereo Image Simulation for Automotive Applications Using Neural Stereo Super Resolution
* 2023: Introspection of 2D Object Detection using Processed Neural Activation Patterns in Automated Driving Systems
* 2023: Review of Graph-Based Hazardous Event Detection Methods for Autonomous Driving Systems
* 2024: Introspection of DNN-Based Perception Functions in Automated Driving Systems: State-of-the-Art and Open Research Challenges
Includes: Dianati, M. Dianati, M.[Mehrdad]
14 for Dianati, M.
Diani, M.
* 1988: Hierarchical Hough: Advantages and Automatic Construction of the Models
* 2000: Striping Removal in MOS-B Data
* 2001: High-resolution ISAR imaging of maneuvering targets by means of the range instantaneous doppler technique: modeling and performance analysis
* 2001: Joint striping noise removal and background clutter cancellation in IR naval surveillance systems
* 2001: Space-time processing for the detection of airborne targets in IR image sequences
* 2005: Adaptive detection algorithm for full pixel targets in hyperspectral images
* 2005: Airborne threat detection in Navy IRST systems
* 2005: Experimental Performance Analysis of Clutter Removal Techniques in IR Images
* 2005: Stochastic Mixing Model Approach to Sub-Pixel Target Detection in Hyper-Spectral Images, A
* 2007: Sight enhancement through video fusion in a surveillance system
* 2009: Analysis of Multiresolution-Based Fusion Strategies for a Dual Infrared System
* 2009: New Algorithm for Robust Estimation of the Signal Subspace in Hyperspectral Images in the Presence of Rare Signal Components, A
* 2010: Hyperspectral Signal Subspace Identification in the Presence of Rare Signal Components
* 2011: Automatic Approach to Adaptive Local Background Estimation and Suppression in Hyperspectral Target Detection, An
* 2011: Detection of small changes in airborne hyperspectral imagery: Experimental results over urban areas
* 2011: Improved nonuniformity correction using bilateral filters
* 2011: Signal-Dependent Noise Modeling and Model Parameter Estimation in Hyperspectral Images
* 2011: Subspace-Based Striping Noise Reduction in Hyperspectral Images
* 2013: Complexity-aware algorithm architecture for real-time enhancement of local anomalies in hyperspectral images
* 2013: Hyperspectral Signal Subspace Identification in the Presence of Rare Vectors and Signal-Dependent Noise
* 2013: Models and Methods for Automated Background Density Estimation in Hyperspectral Anomaly Detection
* 2013: On the CFAR Property of the RX Algorithm in the Presence of Signal-Dependent Noise in Hyperspectral Images
* 2014: Impact of Signal Contamination on the Adaptive Detection Performance of Local Hyperspectral Anomalies
* 2014: Mitigating the impact of signal-dependent noise on hyperspectral target detection
* 2014: RX architectures for real-time anomaly detection in hyperspectral images
* 2014: Special issue on algorithms and architectures for real-time multi-dimensional image processing
* 2015: AFRODiTE: A FluoRescence Lidar Simulator for Underwater Object DeTEction Applications
* 2015: Automated Underwater Object Recognition by Means of Fluorescence LIDAR
* 2015: Real-Time 3D Reconstruction from Images Taken from an UAV
* 2017: Flexible Algorithm for Detecting Challenging Moving Objects in Real-Time within IR Video Sequences, A
* 2018: Atmospheric Column Water Vapor Retrieval From Hyperspectral VNIR Data Based on Low-Rank Subspace Projection
* 2018: Unsupervised Atmospheric Compensation of Airborne Hyperspectral Images in the VNIR Spectral Range
* 2019: Coupled Subspace-Based Atmospheric Compensation of LWIR Hyperspectral Data
* 2019: Subspace-Based Temperature and Emissivity Separation Algorithms in LWIR Hyperspectral Data
* 2020: ARTEMIdE: An Automated Underwater Material Recognition Method for Fluorescence LIDAR Invariant to Environmental Conditions
* 2020: CWV-Net: A Deep Neural Network for Atmospheric Column Water Vapor Retrieval From Hyperspectral VNIR Data
* 2021: Atmospheric Compensation of PRISMA Data by Means of a Learning Based Approach
* 2021: Learning-Based Approach for Atmospheric Compensation of VNIR Hyperspectral Data
Includes: Diani, M. Diani, M.[Marco]
38 for Diani, M.