Knoth, C.[Christian]
* 2016: High-Resolution Classification of South Patagonian Peat Bog Microforms Reveals Potential Gaps in Up-Scaled CH4 Fluxes by use of Unmanned Aerial System (UAS) and CIR Imagery
* 2017: Reproducibility and Practical Adoption of GEOBIA with Open-Source Software in Docker Containers
* 2022: Prioritization-based subsampling quality assessment methodology for mobility-related information systems
Includes: Knoth, C.[Christian] Knoth, C.[Christoph]
Knoth, L.[Laura]
* 2018: Cross-Domain Building Models: A Step towards Interoperability
* 2019: Role-Tailored Map Dashboards: A New Approach for Enhancing the Forest-based Supply Chain
Knothe, R.
* 2006: Combining PCA and LFA for Surface Reconstruction from a Sparse Set of Control Points
* 2007: 3D Reconstruction of Human Faces from Occluding Contours
* 2008: Expression invariant 3D face recognition with a Morphable Model
* 2009: 3D Face Model for Pose and Illumination Invariant Face Recognition, A
Includes: Knothe, R. Knothe, R.[Reinhard]
Knott, A.[Alistair]
* 2021: Benchmarking Monocular Depth Estimation Models for VR Content Creation from a User Perspective
Knott, G.[Graham]
* 2010: Increasing depth resolution of electron microscopy of neural circuits using sparse tomographic reconstruction
* 2012: Globally Optimal Closed-Surface Segmentation for Connectomics
* 2012: Seeded watershed cut uncertainty estimators for guided interactive segmentation
* 2012: Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks With Learned Shape Features
* 2013: Learning Context Cues for Synapse Segmentation
* 2015: Learning Structured Models for Segmentation of 2-D and 3-D Imagery
* 2021: Deep Active Surface Models
Includes: Knott, G.[Graham] Knott, G.
7 for Knott, G.
Knott, G.W.
* 2018: Neuron Segmentation With High-Level Biological Priors
Knott, T.C.[Thomas C.]
* 2015: Cirque des bouteilles: The art of blowing on bottles
Knottenbelt, W.[William]
* 2021: Three Gaps for Quantisation in Learned Image Compression
Knottenbelt, W.J.
* 2017: Deep Learning for Domain-Specific Action Recognition in Tennis