Index for kres

Kresalek, V.[Vojtech] * 2016: Microscopy Techniques for Topography Image Acquisition of Marks on Cartridge Cases
Includes: Kresalek, V.[Vojtech] Kresálek, V.[Vojtech]

Kresch, R. * 1994: Morphological Reduction of Skeleton Redundancy
* 1998: Approximate Convolution Using DCT Coefficient Multipliers
* 1998: Skeleton-based Morphological Coding of Binary Images
* 1999: Fast DCT Domain Filtering Using the DCT and the DST
* 2002: System and method for face detection using candidate image region selection
Includes: Kresch, R. Kresch, R.[Renato]

Kreshuk, A.[Anna] * 2017: Solving Large Multicut Problems for Connectomics via Domain Decomposition
* 2018: Mutex Watershed: Efficient, Parameter-Free Image Partitioning, The
* 2018: Neuron Segmentation With High-Level Biological Priors
* 2020: Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks
* 2020: Semantic Mutex Watershed for Efficient Bottom-up Semantic Instance Segmentation, The
* 2021: Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning, The
* 2022: GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation
* 2022: Sparse Object-level Supervision for Instance Segmentation with Pixel Embeddings
* 2023: Reinforcement learning for instance segmentation with high-level priors
Includes: Kreshuk, A.[Anna] Kreshuk, A.
9 for Kreshuk, A.

Kresic Juric, S. * 2005: Edge detection in bar code signals corrupted by integrated time-varying speckle
* 2006: Applications of hidden Markov models in bar code decoding
Includes: Kresic Juric, S. Kresic-Juric, S.

Kreskowski, A. * 2021: Towards Free-viewpoint Video Capture in Challenging Environments For Collaborative & Immersive Analysis

Kreslavsky, M.A. * 2016: Automation Of Morphometric Measurements For Planetary Surface Analysis and Cartography

Kresnaraman, B. * 2013: Learning Based Reconstruction of Grayscale Face Image from Far-Infrared Image

Kreso, I.[Ivan] * 2016: Convolutional Scale Invariance for Semantic Segmentation
* 2016: Weakly-Supervised Semantic Segmentation by Redistributing Region Scores Back to the Pixels
* 2017: Ladder-Style DenseNets for Semantic Segmentation of Large Natural Images
* 2019: In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images
* 2019: Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift
* 2020: Traffic Scene Classification on a Representation Budget
* 2021: Efficient Ladder-Style DenseNets for Semantic Segmentation of Large Images
* 2022: Dense open-set recognition based on training with noisy negative images
Includes: Kreso, I.[Ivan] Krešo, I.[Ivan] Krešo, I.
8 for Kreso, I.

Kress Gazit, H.[Hadas] * 2021: Formalizing and Guaranteeing Human-Robot Interaction
Includes: Kress Gazit, H.[Hadas] Kress-Gazit, H.[Hadas]

Kress, V.[Viktor] * 2020: Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks
* 2021: Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution

Kress, W.J.[W. John] * 2008: Searching the World's Herbaria: A System for Visual Identification of Plant Species
* 2012: Leafsnap: A Computer Vision System for Automatic Plant Species Identification
* 2016: Phylogenetic Structure of Foliar Spectral Traits in Tropical Forest Canopies

Kresse, C.[Carolin] * 2021: Using Satellite Data to Analyse Raw Material Consumption in Hanoi, Vietnam

Kresse, W.[Wolfgang] * 2010: Development of an international standard for calibration and validation of remote sensing imagery sensors and data
* 2012: Photogrammetric Image Analysis
* 2012: Photogrammetry And Remote Sensing: New German Standards (DIN) Setting Quality Requirements Of Products Generated By Digital Cameras, Pan-sharpening And Classification
* 2013: Schwerpunktheft zur Photogrammetrie an der Universität Bonn
* 2015: Development of an ISO-Standard for the Preservation of Geospatial Data and Metadata: ISO 19165
* 2015: Special Issue: Remote sensing for monitoring crops
* 2016: Java-library For The Access, Storage And Editing Of Calibration Metadata Of Optical Sensors
* 2022: Remote Sensing of Geomorphodiversity Linked to Biodiversity: Part III: Traits, Processes and Remote Sensing Characteristics
Includes: Kresse, W.[Wolfgang] Kresse, W.
8 for Kresse, W.

Kressel, U. * 1992: Segmenting Merged Characters
* 1992: Towards the Understanding of Printed Documents
* 1997: Tracking Non-Rigid Moving Objects Based on Color Cluster Flow
* 1998: Categorizing Paper Documents
* 2004: Robust recognition of traffic signals
* 2004: Training of classifiers using virtual samples only
* 2013: Synchronized Submanifold Embedding for Robust and Real-Time Capable Head Pose Detection Based on Range Images
* 2014: Iris and Pupil Measurement on Low Resolution Images for Driver Observation
* 2021: Self-Supervised 3D Human Pose Estimation with Multiple-View Geometry
Includes: Kressel, U. Kressel, U.[Ulrich]
9 for Kressel, U.

Kressler, B. * 2006: On Measuring the Change in Size of Pulmonary Nodules
* 2010: Nonlinear Regularization for Per Voxel Estimation of Magnetic Susceptibility Distributions From MRI Field Maps

Kressler, F. * 2006: Image data and LiDAR: An ideal combination matched by object-oriented analysis

Kressner, D.[Daniel] * 2011: Fusion of Digital Elevation Models Using Sparse Representations
* 2011: Optimal Image Alignment With Random Projections of Manifolds: Algorithm and Geometric Analysis
* 2011: Optimal similarity registration of volumetric images
* 2023: Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems
Includes: Kressner, D.[Daniel] Kressner, D.

Krestel, R.[Ralf] * 2020: Semantic Analysis of Cultural Heritage Data: Aligning Paintings and Descriptions in Art-historic Collections

Krestenitis, M.[Marios] * 2018: Deep Neural Network for Oil Spill Semantic Segmentation in Sar Images, A
* 2019: Early Identification of Oil Spills in Satellite Images Using Deep CNNs
* 2019: Oil Spill Identification from Satellite Images Using Deep Neural Networks
* 2020: Human Action Recognition Using Recurrent Bag-of-features Pooling
* 2020: Recurrent bag-of-features for visual information analysis

Krestyannikov, E.[Evgeny] * 2006: Segmentation of Dynamic Emission Tomography Data in Projection Space
* 2007: Genetic Algorithms for Finite Mixture Model Based Voxel Classification in Neuroimaging

Index for "k"


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