Koes, D.
Standard Author Listing
with: Mishler, J.: Precise Omnidirectional Camera Calibration
with: Singh, S.: Precise Omnidirectional Camera Calibration
with: Strelow, D.W.: Precise Omnidirectional Camera Calibration
Koesdwiady, A.
Standard Author Listing
with: Bedawi, S.M.: End-to-End Deep Learning for Driver Distraction Recognit...
with: Karray, F.: End-to-End Deep Learning for Driver Distraction Recognition
with: Ou, C.J.: End-to-End Deep Learning for Driver Distraction Recognition
Koeser, K.
Standard Author Listing
with: Bartczak, B.: Analysis-by-Synthesis Camera Tracking Approach Based on ...
with: Bartczak, B.: Extraction of 3D freeform surfaces as visual landmarks f...
with: Bartczak, B.: Robust GPU-assisted camera tracking using free-form surf...
with: Beder, C.: Conjugate rotation: Parameterization and estimation from an...
with: Brito, J.H.: One-sided Radial-Fundamental Matrix Estimation
with: Ferreira, M.: One-sided Radial-Fundamental Matrix Estimation
with: Hartel, V.: Robust Feature Representation for Efficient Camera Registr...
with: Koch, R.: Analysis-by-Synthesis Camera Tracking Approach Based on Free...
with: Koch, R.: Conjugate rotation: Parameterization and estimation from an ...
with: Koch, R.: Exploiting Uncertainty Propagation in Gradient-based Image R...
with: Koch, R.: Extraction of 3D freeform surfaces as visual landmarks for r...
with: Koch, R.: Perspectively Invariant Normal Features
with: Koch, R.: Robust Feature Representation for Efficient Camera Registrat...
with: Koch, R.: Robust GPU-assisted camera tracking using free-form surface ...
with: Perwass, C.: Dense Optic Flow with a Bayesian Occlusion Model
with: Pollefeys, M.: One-sided Radial-Fundamental Matrix Estimation
with: Sommer, G.: Dense Optic Flow with a Bayesian Occlusion Model
with: Woelk, F.: Extraction of 3D freeform surfaces as visual landmarks for ...
with: Zach, C.: One-sided Radial-Fundamental Matrix Estimation
19 for Koeser, K.
Koesmahargyo, V.
Standard Author Listing
with: Galatzer Levy, I.: Estimation of Clinical Tremor using Spatio-Temporal...
with: Zhang, L.: Estimation of Clinical Tremor using Spatio-Temporal Adversa...
Koester, C.J.
Standard Author Listing
with: Berkowitz, D.A.: Optical and Electro-Optical Info. Proc.
with: Clapp, L.C.: Optical and Electro-Optical Info. Proc.
with: Tippett, J.T.: Optical and Electro-Optical Info. Proc.
with: Vanderburgh, A.: Optical and Electro-Optical Info. Proc.
Koester, D.
Standard Author Listing
with: Awiszus, M.: Mind the Gap: Virtual Shorelines for Blind and Partially ...
with: Martinez, M.: Using Technology Developed for Autonomous Cars to Help N...
with: Martinez, M.: Way to Go! Detecting Open Areas Ahead of a Walking Person
with: Roitberg, A.: Using Technology Developed for Autonomous Cars to Help N...
with: Schauerte, B.: Using Technology Developed for Autonomous Cars to Help ...
with: Schauerte, B.: Way to Go! Detecting Open Areas Ahead of a Walking Person
with: Stiefelhagen, R.: Mind the Gap: Virtual Shorelines for Blind and Parti...
with: Stiefelhagen, R.: Using Technology Developed for Autonomous Cars to He...
with: Stiefelhagen, R.: Way to Go! Detecting Open Areas Ahead of a Walking P...
9 for Koester, D.
Koesters, T.
Standard Author Listing
with: Bredies, K.: Joint MR-PET Reconstruction Using a Multi-Channel Image R...
with: Holler, M.: Joint MR-PET Reconstruction Using a Multi-Channel Image Re...
with: Knoll, F.: Joint MR-PET Reconstruction Using a Multi-Channel Image Reg...
with: Otazo, R.: Joint MR-PET Reconstruction Using a Multi-Channel Image Reg...
with: Sodickson, D.K.: Joint MR-PET Reconstruction Using a Multi-Channel Ima...
Koestler, L.
Standard Author Listing
with: Araslanov, N.: Masked Event Modeling: Self-Supervised Pretraining for ...
with: Bernard, F.: Neural Implicit Representations for Physical Parameter In...
with: Bernard, F.: Probabilistic Normal Epipolar Constraint for Frame-To-Fra...
with: Bonello, D.: Masked Event Modeling: Self-Supervised Pretraining for Ev...
with: Cremers, D.: Intrinsic Neural Fields: Learning Functions on Manifolds
with: Cremers, D.: Learning Correspondence Uncertainty via Differentiable No...
with: Cremers, D.: Learning Monocular 3D Vehicle Detection Without 3D Boundi...
with: Cremers, D.: Masked Event Modeling: Self-Supervised Pretraining for Ev...
with: Cremers, D.: Neural Implicit Representations for Physical Parameter In...
with: Cremers, D.: Probabilistic Normal Epipolar Constraint for Frame-To-Fra...
with: Demmel, N.: Probabilistic Normal Epipolar Constraint for Frame-To-Fram...
with: Grittner, D.: Intrinsic Neural Fields: Learning Functions on Manifolds
with: Hofherr, F.: Neural Implicit Representations for Physical Parameter In...
with: Jatavallabhula, K.M.: Learning Correspondence Uncertainty via Differen...
with: Klenk, S.: Masked Event Modeling: Self-Supervised Pretraining for Even...
with: Lahner, Z.: Intrinsic Neural Fields: Learning Functions on Manifolds
with: Moeller, M.: Intrinsic Neural Fields: Learning Functions on Manifolds
with: Muhle, D.: Learning Correspondence Uncertainty via Differentiable Nonl...
with: Muhle, D.: Probabilistic Normal Epipolar Constraint for Frame-To-Frame...
with: Wang, R.: Learning Monocular 3D Vehicle Detection Without 3D Bounding ...
with: Yang, N.: Learning Monocular 3D Vehicle Detection Without 3D Bounding ...
21 for Koestler, L.