Knoll, A.
* 1990: Wideband MAC-compatible HDTV transmission system
* 1991: Filter design for the interpolation of highly subsampled pictures
* 2006: Efficient and Robust Real-Time Contour Tracking System, An
* 2007: Real-Time 3D Face Tracking with Mutual Information and Active Contours
* 2008: Accelerating Integral Histograms Using an Adaptive Approach
* 2008: Mutual Information-Based 3D Object Tracking
* 2008: Novel Approach to Hand-Gesture Recognition in a Human-Robot Dialog System, A
* 2009: Multi-target and Multi-camera Object Detection with Monte-Carlo Sampling
* 2009: Real-Time Articulated Hand Detection and Pose Estimation
* 2010: Speeding Up HOG and LBP Features for Pedestrian Detection by Multiresolution Techniques
* 2012: Fusing vision and odometry for accurate indoor robot localization
* 2012: Human Body Orientation Estimation in Multiview Scenarios
* 2013: PM-Huber: PatchMatch with Huber Regularization for Stereo Matching
* 2013: Scene Perception and Recognition for Human-Robot Co-operation
* 2013: Scene Perception and Recognition in Industrial Environments for Human-Robot Interaction
* 2014: Multi-modality Gesture Detection and Recognition with Un-supervision, Randomization and Discrimination
* 2014: Object Recognition Using Constraints from Primitive Shape Matching
* 2015: Hierarchical Grid-based Multi-People Tracking-by-Detection With Global Optimization
* 2015: Variational PatchMatch MultiView Reconstruction and Refinement
* 2016: Cooperative vehicle-infrastructure localization based on the symmetric measurement equation filter
* 2016: Information Maximizing Optimal Sensor Placement Robust Against Variations of Traffic Demand Based on Importance of Nodes
* 2016: Precise Measurement of Cargo Boxes for Gantry Robot Palletization in Large Scale Workspaces Using Low-Cost RGB-D Sensors
* 2019: Deep anticipation: lightweight intelligent mobile sensing for unmanned vehicles in IoT by recurrent architecture
* 2019: Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks
* 2019: Novel Method for the Absolute Pose Problem with Pairwise Constraints, A
* 2020: Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception
* 2021: 3D Human Pose Regression Using Graph Convolutional Network
* 2021: AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery Using Temporal and Graphical Features
* 2021: Hand Gesture Recognition in Range-Doppler Images Using Binary Activated Spiking Neural Networks
* 2021: Improving Low-Resolution Image Classification by Super-Resolution with Enhancing High-Frequency Content
* 2021: Object Localization with Attribute Preference Based on Top-Down Attention
* 2021: Pseudo-Image and Sparse Points: Vehicle Detection With 2D LiDAR Revisited by Deep Learning-Based Methods
* 2022: 3D Object Detection with a Self-supervised Lidar Scene Flow Backbone
* 2022: Automated Defect Inspection in Reverse Engineering of Integrated Circuits
* 2022: Globally Optimal Linear Model Fitting with Unit-Norm Constraint
* 2022: Globally Optimal Vertical Direction Estimation in Atlanta World
* 2022: Image Grid Recognition and Regression for Fast and Accurate Face Detection
* 2022: MoNet: Motion-Based Point Cloud Prediction Network
* 2022: NeuroIV: Neuromorphic Vision Meets Intelligent Vehicle Towards Safe Driving With a New Database and Baseline Evaluations
* 2022: Survey of the Four Pillars for Small Object Detection: Multiscale Representation, Contextual Information, Super-Resolution, and Region Proposal, A
* 2023: DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation
* 2023: Fast and deterministic (3+1)DOF point set registration with gravity prior
* 2023: Focal Network for Image Restoration
* 2023: Globally Optimal Robust Radar Calibration in Intelligent Transportation Systems
* 2023: Interpretable Model-Agnostic Plausibility Verification for 2D Object Detectors Using Domain-Invariant Concept Bottleneck Models
* 2023: LoopDA: Constructing Self-loops to Adapt Nighttime Semantic Segmentation
* 2023: Meta-Reinforcement Learning in Non-Stationary and Dynamic Environments
* 2023: Multi-Task Consistency for Active Learning
* 2023: RPP-Net: Rigid Constrained Point Cloud Prediction Network
* 2023: TMA: Temporal Motion Aggregation for Event-based Optical Flow
* 2023: Toward Intelligent Sensing: Optimizing Lidar Beam Distribution for Autonomous Driving
* 2023: UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework
* 2024: Image Restoration via Frequency Selection
Includes: Knoll, A. Knoll, A.[Alois]
53 for Knoll, A.
Knoll, A.C.
* 1991: Ultrasonic Holography Techniques for Localizing and Imaging Solid Objects
* 2015: Partition-Based Match Making Algorithm for Dynamic Ridesharing, A
* 2024: Time to Shine: Fine-Tuning Object Detection Models with Synthetic Adverse Weather Images
Includes: Knoll, A.C. Knoll, A.C.[Alois C.]
Knoll, A.L.[Arie L.]
* 2024: Characterization of River Width Measurement Capability by Space Borne GNSS-Reflectometry
Knoll, C.[Christian]
* 1999: Outlining of the prostate using snakes with shape restrictions based on the wavelet transform
* 2008: Weakly Supervised Learning of a Classifier for Unusual Event Detection
* 2018: Fixed Points of Belief Propagation: An Analysis via Polynomial Homotopy Continuation
* 2023: Self-Guided Belief Propagation: A Homotopy Continuation Method
Includes: Knoll, C.[Christian] Knoll, C.
Knoll, D.
* 2014: Toward Integrated Scene Text Reading
Knoll, F.[Florian]
* 2013: Total Generalized Variation in Diffusion Tensor Imaging
* 2014: Fast T2 Mapping With Improved Accuracy Using Undersampled Spin-Echo MRI and Model-Based Reconstructions With a Generating Function
* 2017: Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer
* 2018: Evaluation of Parallel Level Sets and Bowsher's Method as Segmentation-Free Anatomical Priors for Time-of-Flight PET Reconstruction
* 2020: Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues
* 2021: Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction
* 2022: Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction
* 2023: Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging
* 2023: Stable Deep MRI Reconstruction Using Generative Priors
Includes: Knoll, F.[Florian] Knoll, F.
9 for Knoll, F.
Knoll, J.[Joan]
* 2010: Accurate Image Processing Algorithm for Detecting FISH Probe Locations Relative to Chromosome Landmarks on DAPI Stained Metaphase Chromosome Images, An
* 2010: image processing algorithm for accurate extraction of the centerline from human metaphase chromosomes, An
Knoll, P.
* 2000: Jini service to reconstruct tomographic data, A
Knoll, T.[Thomas]
* 1992: Method for displaying and printing multitone images derived from grayscale images
Knoll, T.F.
* 1986: Adaptive Gray Scale Mapping to Reduce Registration Noise in Difference Images
* 1986: Recognizing Partially Visible Objects Using Feature Indexed Hypotheses
* 1987: Learning To Recognize Objects Using Feature Indexed Hypotheses
Knollmann, F.
* 2009: Computational Geometry Approach to Automated Pulmonary Fissure Segmentation in CT Examinations, A
* 2009: Pulmonary Lobe Segmentation in CT Examinations Using Implicit Surface Fitting