Kremeike, K.
* 2005: Dense DTM generalization aided by roads extracted from LiDAR data
Kremen, T.
* 2006: Operating quality control of ground machines by means of the terrestrial laserscanning system
* 2021: Vegetation Filtering of a Steep Rugged Terrain: The Performance of Standard Algorithms and a Newly Proposed Workflow on an Example of a Railway Ledge
Includes: Kremen, T. Kremen, T.[Tomáš]
Kremens, R.[Robert]
* 2020: Low-Cost Radiometer for Landsat Land Surface Temperature Validation
Kremer Herman, N.
* 2018: SHADHO: Massively Scalable Hardware-Aware Distributed Hyperparameter Optimization
Includes: Kremer Herman, N. Kremer-Herman, N.
Kremer, D.[Dominik]
* 2022: Placial-Discursive Topologies of Violence: Volunteered Geographic Information and the Reproduction of Violent Places in Recife, Brazil
Kremer, J.[Jens]
* 2008: Mobile Lidar Mapping for 3D Point Cloud Collection in Urban Areas: A Performance Test
* 2012: Railmapper: A Dedicated Mobile Lidar Mapping System for Railway Networks, The
* 2016: Orientation Of Oblique Airborne Image Sets: Experiences From The ISPRS/EUROSDR Benchmark On Multi-platform Photogrammetry
* 2017: Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy
Includes: Kremer, J.[Jens] Kremer, J.
Kremer, S.
* 2010: Comparison of interpolation methods for angular resampling of diffusion weighted images
* 2018: Deep Learning Object Detection Methods for Ecological Camera Trap Data
Kremer, S.C.
* 2020: Similarity Learning Networks for Animal Individual Re-Identification: Beyond the Capabilities of a Human Observer
Kremers, H.M.[Hilal Maradit]
* 2020: Deeptkaclassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks
Kremers, J.[Jan]
* 2012: Electroretinographic responses to photoreceptor specific sine wave modulation
* 2012: Mesopic rod and S-cone interactions revealed by modulation thresholds
* 2014: Incremental and decremental L- and M-cone driven ERG responses: II. Sawtooth stimulation
* 2014: Incremental and decremental L- and M-cone-driven ERG responses: I. Square-wave pulse stimulation
* 2014: Temporal characteristics of L- and M-cone isolating steady-state electroretinograms
* 2016: Correlated and uncorrelated invisible temporal white noise alters mesopic rod signaling
* 2016: dim view of M-cone onsets, A
* 2016: Spatial properties of L- and M-cone driven incremental (On-) and decremental (Off-) electroretinograms: evidence for the involvement of multiple post-receptoral mechanisms
8 for Kremers, J.
Kremers, J.H.
* 1977: Experments in Map-Guided Photo Interpretation
* 1977: Interactive Aids for Cartography and Photo-Interpretation: Progress Report
Kremers, W.K.[Walter K.]
* 2020: Deeptkaclassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks
Kremezi, M.[Maria]
* 2022: Combination of Machine Learning Algorithms for Marine Plastic Litter Detection Exploiting Hyperspectral PRISMA Data, A
Krempel, E.[Erik]
* 2019: Data Anonymization for Data Protection on Publicly Recorded Data
Krempel, G.
* 2015: Multimedia Analysis and Access of Ancient Maya Epigraphy: Tools to support scholars on Maya hieroglyphics
* 2016: Transferring Neural Representations for Low-Dimensional Indexing of Maya Hieroglyphic Art
Includes: Krempel, G. Krempel, G.[Guido]
Krempel, L.
* 2019: Real-time Wildfire Detection From Space - a Trade-off Between Sensor Quality, Physical Limitations and Payload Size
Krems, J.F.
* 2011: Methods of evaluating electric vehicles from a user's perspective: The MINI E field trial in Berlin
* 2015: Eco-driving strategies in battery electric vehicle use- how do drivers adapt over time?
* 2015: Eco-driving strategies in battery electric vehicle use- how do drivers adapt over time?
* 2015: Range comfort zone of electric vehicle users- concept and assessment
* 2015: User experience with electric vehicles while driving in a critical range situation- a qualitative approach
Kremser, C.
* 2002: Model-based imaging of cardiac electrical excitation in humans