Koes, D.
Co Author Listing * Precise Omnidirectional Camera Calibration
Koesdwiady, A.[Arief]
Co Author Listing * End-to-End Deep Learning for Driver Distraction Recognition
Koeser, K.[Kevin]
Co Author Listing * Home Page.
* email: Koeser, K.[Kevin]: koeser AT mip informatik uni-kiel de
* Analysis-by-Synthesis Camera Tracking Approach Based on Free-Form Surfaces, An
* Conjugate rotation: Parameterization and estimation from an affine feature correspondence
* Dense Optic Flow with a Bayesian Occlusion Model
* Exploiting Uncertainty Propagation in Gradient-based Image Registration
* Extraction of 3D freeform surfaces as visual landmarks for real-time tracking
* One-sided Radial-Fundamental Matrix Estimation
* Perspectively Invariant Normal Features
* Robust Feature Representation for Efficient Camera Registration
* Robust GPU-assisted camera tracking using free-form surface models
Includes: Koeser, K.[Kevin] Koeser, K.
11 for Koeser, K.
Koesmahargyo, V.[Vidya]
Co Author Listing * Estimation of Clinical Tremor using Spatio-Temporal Adversarial AutoEncoder
Koester, C.J.
Co Author Listing * Optical and Electro-Optical Info. Proc.
Koester, D.
Co Author Listing * Mind the Gap: Virtual Shorelines for Blind and Partially Sighted People
* Using Technology Developed for Autonomous Cars to Help Navigate Blind People
* Way to Go! Detecting Open Areas Ahead of a Walking Person
Includes: Koester, D. Koester, D.[Daniel]
Koesters, T.
Co Author Listing * Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer
Koestler, L.[Lukas]
Co Author Listing * Intrinsic Neural Fields: Learning Functions on Manifolds
* Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares
* Learning Monocular 3D Vehicle Detection Without 3D Bounding Box Labels
* Masked Event Modeling: Self-Supervised Pretraining for Event Cameras
* Neural Implicit Representations for Physical Parameter Inference from a Single Video
* Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions, The