Lensch, H.P.A.
* 2003: Modeling the world: the virtualization pipeline
* 2004: Multi-video compression in texture space
* 2005: Dual Photography
* 2007: Polarization and Phase-Shifting for 3D Scanning of Translucent Objects
* 2008: Demosaicing by smoothing along 1D features
* 2008: Modulated phase-shifting for 3D scanning
* 2008: Principles of Appearance Acquisition and Representation
* 2009: Relighting objects from image collections
* 2010: context-aware light source, A
* 2010: Geometry Construction from Caustic Images
* 2010: Optimal HDR reconstruction with linear digital cameras
* 2012: Efficient Parallel Strategy for Matching Visual Self-similarities in Large Image Databases, An
* 2012: Frankencamera: An Experimental Platform for Computational Photography, The
* 2012: Scale Robust Multi View Stereo
* 2014: Acquiring 4D Light Fields of Self-Luminous Light Sources Using Programmable Filter
* 2014: Anamorphic pixels for multi-channel superresolution
* 2014: Local Image Feature Matching Improvements for Omnidirectional Camera Systems
* 2014: Multi-View Depth Map Estimation With Cross-View Consistency
* 2015: Scalable structure from motion for densely sampled videos
* 2015: Scene-Based Non-uniformity Correction with Readout Noise Compensation
* 2016: Acquiring 4D Light Fields of Self-Luminous Extended Light Sources Using Programmable Filter
* 2016: Auto-Illustrating Poems and Songs with Style
* 2016: Dense and Occlusion-Robust Multi-view Stereo for Unstructured Videos
* 2016: Efficient Large-Scale Approximate Nearest Neighbor Search on the GPU
* 2016: End-to-End Learning for Image Burst Deblurring
* 2016: Real Time Direct Visual Odometry for Flexible Multi-camera Rigs
* 2017: Learning Blind Motion Deblurring
* 2017: Multi-view Continuous Structured Light Scanning
* 2018: Computational Camera with Programmable Optics for Snapshot High-Resolution Multispectral Imaging, A
* 2018: Flex-Convolution
* 2018: Will People Like Your Image? Learning the Aesthetic Space
* 2019: Reflective and Fluorescent Separation Under Narrow-Band Illumination
* 2020: Two-Shot Spatially-Varying BRDF and Shape Estimation
* 2021: NeRD: Neural Reflectance Decomposition from Image Collections
* 2022: SpatialDETR: Robust Scalable Transformer-Based 3D Object Detection From Multi-view Camera Images With Global Cross-Sensor Attention
Includes: Lensch, H.P.A. Lensch, H.P.A.[Hendrik P.A.] Lensch, H.P.A.[Hendrik P. A.]
35 for Lensch, H.P.A.
Lenseigne, B.[Boris]
* 2005: Using Signing Space as a Representation for Sign Language Processing
* 2007: New Color Representation for Intensity Independent Pixel Classification in Confocal Microscopy Images, A
* 2009: Keypoint Extraction and Selection for Object Recognition
* 2012: Depth from Vergence and Active Calibration for Humanoid Robots
* 2015: Novel Method for Simultaneous Acquisition of Visible and Near-Infrared Light Using a Coded Infrared-Cut Filter, A
Lensen, A.[Andrew]
* 2015: hybrid Genetic Programming approach to feature detection and image classification, A
Lensing, P.[Philipp]
* 2016: Achieving Flexible 3D Reconstruction Volumes for RGB-D and RGB Camera Based Approaches
Lensing, P.H.[Paul Hermann]
* 2008: GPU-Supported Image Compression for Remote Visualization: Realization and Benchmarking
Lensink, K.[Keegan]
* 2021: Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images, A
Lenske, V.[Victor]
* 2019: Satellite-Based Assessment of Grassland Conversion and Related Fire Disturbance in the Kenai Peninsula, Alaska
Lensky, I.M.[Itamar M.]
* 2015: Phenology-Based Method for Monitoring Woody and Herbaceous Vegetation in Mediterranean Forests from NDVI Time Series, A
* 2017: Optimizing the Timing of Unmanned Aerial Vehicle Image Acquisition for Applied Mapping of Woody Vegetation Species Using Feature Selection
* 2018: Economic Assessment of Fire Damage to Urban Forest in the Wildland-Urban Interface Using Planet Satellites Constellation Images
* 2021: Impacts of Spatial Resolution, Viewing Angle, and Spectral Vegetation Indices on the Quantification of Woody Mediterranean Species Seasonality Using Remote Sensing, The
* 2021: Optimizing Top Dressing Nitrogen Fertilization Using VENµS and Sentinel-2 L1 Data
* 2021: Using Satellite Data to Optimize Wheat Yield and Quality under Climate Change
* 2022: Improving WRF-Fire Wildfire Simulation Accuracy Using SAR and Time Series of Satellite-Based Vegetation Indices
* 2023: Early Detection and Analysis of an Unpredicted Convective Storm over the Negev Desert
* 2024: Comparing ML Methods for Downscaling Near-Surface Air Temperature over the Eastern Mediterranean
* 2024: Toward Precision Agriculture in Outdoor Vertical Greenery Systems (VGS): Monitoring and Early Detection of Stress Events
10 for Lensky, I.M.
Lensky, N.G.[Nadav G.]
* 2024: Geomorphological Response of Alluvial Streams to Flood Events during Base-Level Lowering: Insights from Drone-Based Photogrammetric Surveys in Dead Sea Tributaries
Lenssen, J.E.
* 2018: SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
* 2020: Deep Iterative Surface Normal Estimation
* 2020: Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
* 2020: Quaternion Equivariant Capsule Networks for 3d Point Clouds
* 2022: Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields
* 2022: TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement
* 2023: SimNP: Learning Self-Similarity Priors Between Neural Points
Includes: Lenssen, J.E. Lenssen, J.E.[Jan E.] Lenssen, J.E.[Jan Eric]
7 for Lenssen, J.E.
Lensu, A.[Anssi]
* 2014: Coupling high-resolution satellite imagery with ALS-based canopy height model and digital elevation model in object-based boreal forest habitat type classification
Lensu, L.[Lasse]
* 2005: Mottling Assessment of Solid Printed Areas and Its Correlation to Perceived Uniformity
* 2006: Automating Visual Inspection of Print Quality
* 2006: Detecting irregularities in regular patterns
* 2007: Automated Mottling Assessment of Colored Printed Areas
* 2007: DIARETDB1 diabetic retinopathy database and evaluation protocol, The
* 2007: Temporal Characteristics of Artificial Retina Based on Bacteriorhodopsin and Its Variants
* 2007: Visual Print Quality Evaluation Using Computational Features
* 2008: Detection of irregularities in regular patterns
* 2009: Framework for Applying Full Reference Digital Image Quality Measures to Printed Images
* 2009: Fusion of Multiple Expert Annotations and Overall Score Selection for Medical Image Diagnosis
* 2010: Automated Counting and Characterization of Dirt Particles in Pulp
* 2010: Making Visual Object Categorization More Challenging: Randomized Caltech-101 Data Set
* 2010: Unsupervised Visual Object Categorisation via Self-Organisation
* 2011: Adaptive Classification of Dirt Particles in Papermaking Process
* 2011: Bayesian network model of overall print quality: Construction and structural optimisation
* 2011: Improving Particle Segmentation from Process Images with Wiener Filtering
* 2011: Projector Calibration by Inverse Camera Calibration
* 2012: Combining Multiple Image Segmentations by Maximizing Expert Agreement
* 2012: Detection of bubbles as Concentric Circular Arrangements
* 2012: Unsupervised object discovery via self-organisation
* 2012: Visual saliency and categorisation of abstract images
* 2013: Detection of Curvilinear Structures by Tensor Voting Applied to Fiber Characterization
* 2013: Framework for developing image-based dirt particle classifiers for dry pulp sheets
* 2013: Unsupervised Visual Object Categorisation with BoF and Spatial Matching
* 2014: Comparison of Appearance-Based and Geometry-Based Bubble Detectors
* 2014: Comparison of General Object Trackers for Hand Tracking in High-Speed Videos
* 2014: Estimation of Bubble Size Distribution Based on Power Spectrum
* 2014: Multichannel Spectral Image Enhancement for Visualizing Diabetic Retinopathy Lesions
* 2014: Spectral Colour Differences through Interpolation
* 2015: High-Speed Hand Tracking for Studying Human-Computer Interaction
* 2016: Detection of bubbles as Concentric Circular Arrangements
* 2016: Evaluation of feature sensitivity to training data inaccuracy in detection of retinal lesions
* 2016: Reconstruction of retinal spectra from RGB data using a RBF network
* 2016: Semi-supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation
* 2017: Framework for Machine Vision Based Traffic Sign Inventory
* 2017: Multi-camera Finger Tracking and 3D Trajectory Reconstruction for HCI Studies
* 2017: Towards Condition Analysis for Machine Vision Based Traffic Sign Inventory
* 2018: Comparison of bubble detectors and size distribution estimators
* 2018: Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks
* 2018: Two-Camera Synchronization and Trajectory Reconstruction for a Touch Screen Usability Experiment
* 2019: Fine-Grained Wood Species Identification Using Convolutional Neural Networks
* 2019: Timber Tracing with Multimodal Encoder-Decoder Networks
* 2020: Evaluation of Unconditioned Deep Generative Synthesis of Retinal Images
* 2020: On the Uncertainty of Retinal Artery-vein Classification with Dense Fully-convolutional Neural Networks
* 2020: Plankton Recognition in Images with Varying Size
* 2021: On De-Interlacing and Sub-Pixel Precision Tracking
* 2021: Virtual sawing using generative adversarial networks
Includes: Lensu, L.[Lasse] Lensu, L.
47 for Lensu, L.
Lensu, M.[Mikko]
* 2018: Estimating the Speed of Ice-Going Ships by Integrating SAR Imagery and Ship Data from an Automatic Identification System
* 2023: Uto Observatory for Analysing Atmospheric Ducting Events over Baltic Coastal and Marine Waters