Zollanvari, A.[Amin]
* 2009: On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers
* 2013: Analytical study of performance of linear discriminant analysis in stochastic settings
* 2013: Classifier design given an uncertainty class of feature distributions via regularized maximum likelihood and the incorporation of biological pathway knowledge in steady-state phenotype classification
* 2014: Moments and root-mean-square error of the Bayesian MMSE estimator of classification error in the Gaussian model
* 2017: Nonoptimality of the Maximum-Weight Dependence Tree in Classification
* 2019: Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis for Cost-Sensitive Binary Classification
* 2021: Bias correction for linear discriminant analysis
* 2022: Systematic Deep Learning Model Selection for P300-Based Brain-Computer Interfaces, A
* 2023: Jackknife-Inspired Deep Learning Approach to Subject-Independent Classification of EEG, A
Includes: Zollanvari, A.[Amin] Zollanvari, A.
9 for Zollanvari, A.
Zollei, L.
* 2001: 2D-3D Rigid Registration of X-Ray Fluoroscopy and CT Images Using Mutual Information and Sparsely Sampled Histogram Estimators
* 2001: 2D-3D Rigid-Body Registration of X-Ray Fluoroscopy and CT Images
* 2001: Variational Framework for Joint Segmentation and Registration, A
* 2004: Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration, A
* 2005: Efficient Population Registration of 3D Data
* 2006: Multi-modal Image Registration Using Dirichlet-Encoded Prior Information
* 2008: Modeling of anatomical information in clustering of white matter fiber trajectories using Dirichlet distribution
* 2009: Combined Volumetric and Surface Registration
* 2009: On the optimality of mutual information as an image registration objective function
* 2016: Multimodal Whole Brain Registration: MRI and High Resolution Histology
Includes: Zollei, L. Zöllei, L. (Maybe also Zoellei, L.)Zöllei, L.[Lilla] (Maybe also Zoellei, L.)Zollei, L.[Lilla]
10 for Zollei, L.
Zoller, D.M.
* 2019: Robust Recovery of Temporal Overlap Between Network Activity Using Transient-Informed Spatio-Temporal Regression
Includes: Zoller, D.M. Zöller, D.M. (Maybe also Zoeller, D.M.)
Zoller, T.
* 2000: Active Learning for Hierarchical Pairwise Data Clustering
* 2001: Path Based Pairwise Data Clustering with Application to Texture Segmentation
* 2001: Perceptual Grouping by Path Based Clustering
* 2002: Combined color and texture segmentation by parametric distributional clustering
* 2002: Parametric Distributional Clustering for Image Segmentation
* 2002: Selforganized Clustering of Mixture Models for Combined Color and Texture Segmentation
* 2004: Shape constrained image segmentation by parametric distributional clustering
* 2007: Robust Image Segmentation Using Resampling and Shape Constraints
Includes: Zoller, T. Zöller, T. (Maybe also Zoeller, T.)Zöller, T.[Thomas] (Maybe also Zoeller, T.)Zoller, T.[Thomas]
8 for Zoller, T.
Zollhoefer, M.[Michael]
* 2020: DeepCap: Monocular Human Performance Capture Using Weak Supervision
* 2022: COAP: Compositional Articulated Occupancy of People
* 2022: Neural 3D Video Synthesis from Multi-view Video
* 2022: Self-supervised Neural Articulated Shape and Appearance Models
* 2023: Deeper Look into DeepCap, A
* 2023: Neural Pixel Composition for 3D-4D View Synthesis from Multi-Views
Zollhofer, M.[Michael]
* 2016: Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
* 2016: Real-Time Halfway Domain Reconstruction of Motion and Geometry
* 2016: Real-Time Joint Tracking of a Hand Manipulating an Object from RGB-D Input
* 2016: VolumeDeform: Real-Time Volumetric Non-rigid Reconstruction
* 2017: MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
* 2017: MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
* 2018: InverseFaceNet: Deep Monocular Inverse Face Rendering
* 2018: LIME: Live Intrinsic Material Estimation
* 2018: NRST: Non-rigid Surface Tracking from Monocular Video
* 2018: Self-Supervised Multi-level Face Model Learning for Monocular Reconstruction at Over 250 Hz
* 2019: DeepVoxels: Learning Persistent 3D Feature Embeddings
* 2019: Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
* 2019: FML: Face Model Learning From Videos
* 2020: DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data
* 2020: Demea: Deep Mesh Autoencoders for Non-rigidly Deforming Objects
* 2020: High-Fidelity Monocular Face Reconstruction Based on an Unsupervised Model-Based Face Autoencoder
* 2020: Patchnets: Patch-based Generalizable Deep Implicit 3d Shape Representations
* 2020: StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images
* 2021: Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction
* 2021: Learning Compositional Radiance Fields of Dynamic Human Heads
* 2021: MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement
* 2021: Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction
* 2021: Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video
* 2021: Pixel-aligned Volumetric Avatars
* 2021: Pulsar: Efficient Sphere-based Neural Rendering
* 2022: AdaNeRF: Adaptive Sampling for Real-Time Rendering of Neural Radiance Fields
* 2022: AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling
* 2022: HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture
* 2022: KeypointNeRF: Generalizing Image-Based Volumetric Avatars Using Relative Spatial Encoding of Keypoints
* 2022: Learning Neural Light Fields with Ray-Space Embedding
* 2022: TAVA: Template-free Animatable Volumetric Actors
* 2023: HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling
* 2023: NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation
Includes: Zollhofer, M.[Michael] Zollhöfer, M.[Michael] (Maybe also Zollhoefer, M.)Zollhöfer, M. (Maybe also Zollhoefer, M.)
33 for Zollhofer, M.
Zolliker, P.
* 2007: Image-Dependent Gamut Mapping as Optimization Problem
* 2007: Retaining Local Image Information in Gamut Mapping Algorithms
* 2009: Classification of Paper Images to Predict Substrate Parameters Prior to Print
* 2010: Conjoint Analysis for Evaluating Parameterized Gamut Mapping Algorithms
* 2013: Image-Difference Prediction: From Grayscale to Color
Includes: Zolliker, P. Zolliker, P.[Peter]
Zollini, S.
* 2019: Alba Fucens Archaeological Site: Multiscale and Multidisciplinary Approach for Risk Assessment and Conservation
* 2020: UAV Photogrammetry for Concrete Bridge Inspection Using Object-Based Image Analysis (OBIA)
* 2022: Fast and Accurate Registration of Terrestrial Point Clouds Using a Planar Approximation of Roof Features
Includes: Zollini, S. Zollini, S.[Sara]
Zollmann, S.[Stefanie]
* 2010: Optimization of Target Objects for Natural Feature Tracking
* 2011: Construction site monitoring from highly-overlapping MAV images
* 2012: Comprehensible and Interactive Visualizations of GIS Data in Augmented Reality
* 2014: Augmented Reality for Construction Site Monitoring and Documentation
* 2016: VISGIS: Dynamic situated visualization for geographic information systems
* 2018: Softposit for Augmented Reality in Complex Environments: Limitations and Challenges
* 2019: Localisation for Augmented Reality at Sport Events
* 2021: Benchmarking Monocular Depth Estimation Models for VR Content Creation from a User Perspective
* 2021: Expert Sample Consensus Applied To Camera Localization for AR Sports Spectators
* 2021: From off-site to on-site: A Flexible Framework for XR Prototyping in Sports Spectating
* 2023: Benchmarking Localization for Augmented Reality in Large Scale Environments
Includes: Zollmann, S.[Stefanie] Zollmann, S.
11 for Zollmann, S.
Zollner, F.[Frank]
* 2006: Classification of Segmented Regions in Brightfield Microscope Images
Zollner, G.
* 2015: Fast and Robust Design of Time-Optimal k-Space Trajectories in MRI
Zollner, H.[Helmut]
* 2005: Method for Determining Geometrical Distortion of off-the-Shelf Wide-Angle Cameras, A
Zollner, J.M.[J. Marius]
* 2014: Robust, Marker-Based Head Tracking for Testing Cognitive Vehicles in the Loop
* 2018: Making Bertha Cooperate: Team AnnieWAY's Entry to the 2016 Grand Cooperative Driving Challenge
* 2020: Using Mixture of Expert Models to Gain Insights into Semantic Segmentation
* 2021: Description of Corner Cases in Automated Driving: Goals and Challenges
* 2022: Adversarial Vulnerability of Temporal Feature Networks for Object Detection
* 2022: Anomaly Detection in Autonomous Driving: A Survey
* 2022: Cycle-consistent World Models for Domain Independent Latent Imagination
* 2022: Is Neuron Coverage Needed to Make Person Detection More Robust?
* 2022: One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving
* 2022: Plausibility Verification for 3d Object Detectors Using Energy-based Optimization
* 2022: Realism Metric for Generated LiDAR Point Clouds, A
* 2023: What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving
Includes: Zollner, J.M.[J. Marius] Zöllner, J.M.[J. Marius] (Maybe also Zoellner, J.M.)Zöllner, J.M. (Maybe also Zoellner, J.M.)
12 for Zollner, J.M.
Zollner, M.[Marius]
* 2018: Boosting LiDAR-Based Semantic Labeling by Cross-modal Training Data Generation
* 2018: Improved Semantic Stixels via Multimodal Sensor Fusion
* 2020: BreizhCrops: A Time Series Dataset for Crop Type Mapping
Includes: Zollner, M.[Marius] Zöllner, M.[Marius] (Maybe also Zoellner, M.)Zollner, M.
Zollner, R.D.[Raoul D.]
* 2007: Incremental Learning of Tasks From User Demonstrations, Past Experiences, and Vocal Comments
Zollo, A.[Antonietta]
* 2003: Communicative System of Touch. Alphabet, Lexicon, and Norms of Use, The
Zollo, A.L.[Alessandra Lucia]
* 2021: Validation of GPM Rainfall and Drop Size Distribution Products through Disdrometers in Italy
Zollo, L.[Loredana]
* 2013: Robust Hand Pose Estimation Algorithm for Hand Rehabilitation, A