Krah, S.B.[Sebastian Bernd]
* 2013: Voting Strategies for Anatomical Landmark Localization Using the Implicit Shape Model
* 2014: Supporting Annotation of Anatomical Landmarks Using Automatic Scale Selection
* 2016: Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results, The
* 2016: Visual Object Tracking VOT2016 Challenge Results, The
Includes: Krah, S.B.[Sebastian Bernd] Krah, S.B.[Sebastian B.]
Krahe, J.L.[Jaime Lopez]
* 2015: online reversed French Sign Language dictionary based on a learning approach for signs classification, An
* 2015: pattern recognition approach to make accessible the geographic images for blind and visually impaired, A
Krahenbuhl, A.[Adrien]
* 2012: Knot Detection in X-Ray CT Images of Wood
* 2013: Knot Segmentation in Noisy 3D Images of Wood
* 2014: Knot segmentation in 3D CT images of wet wood
* 2015: 3D Geometric Analysis of Tubular Objects Based on Surface Normal Accumulation
* 2015: Knot Detection from Accumulation Map by Polar Scan
* 2016: Centerline detection on partial mesh scans by confidence vote in accumulation map
* 2016: Robust Knot Segmentation by Knot Pith Tracking in 3D Tangential Images
Includes: Krahenbuhl, A.[Adrien] Krähenbühl, A.[Adrien] (Maybe also Kraehenbuehl, A.)Krähenbühl, A. (Maybe also Kraehenbuehl, A.)
7 for Krahenbuhl, A.
Krahenbuhl, P.[Philipp]
* 2012: Efficient Nonlocal Regularization for Optical Flow
* 2012: Saliency filters: Contrast based filtering for salient region detection
* 2014: Geodesic Object Proposals
* 2015: Constrained Convolutional Neural Networks for Weakly Supervised Segmentation
* 2015: Learning a Discriminative Model for the Perception of Realism in Composite Images
* 2015: Learning Data-Driven Reflectance Priors for Intrinsic Image Decomposition
* 2015: Learning to propose objects
* 2016: Context Encoders: Feature Learning by Inpainting
* 2016: Generative Visual Manipulation on the Natural Image Manifold
* 2016: Learning Dense Correspondence via 3D-Guided Cycle Consistency
* 2017: Sampling Matters in Deep Embedding Learning
* 2018: Compressed Video Action Recognition
* 2018: Domain Transfer Through Deep Activation Matching
* 2018: Free Supervision from Video Games
* 2018: Video Compression Through Image Interpolation
* 2019: Bottom-Up Object Detection by Grouping Extreme and Center Points
* 2019: Long-Term Feature Banks for Detailed Video Understanding
* 2020: Domain Adaptation Through Task Distillation
* 2020: Multigrid Method for Efficiently Training Video Models, A
* 2020: Tracking Objects as Points
* 2021: Center-based 3D Object Detection and Tracking
* 2021: Learning to drive from a world on rails
* 2021: Towards Long-Form Video Understanding
* 2022: Cross-view Transformers for real-time Map-view Semantic Segmentation
* 2022: Detecting Twenty-Thousand Classes Using Image-Level Supervision
* 2022: Global Tracking Transformers
* 2022: Learning from All Vehicles
* 2022: Long-tail Detection with Effective Class-Margins
* 2022: Real-Time Online Video Detection with Temporal Smoothing Transformers
* 2022: Simple Multi-dataset Detection
* 2023: Learning Video Representations from Large Language Models
* 2023: PartDistillation: Learning Parts from Instance Segmentation
Includes: Krahenbuhl, P.[Philipp] Krähenbühl, P.[Philipp] (Maybe also Kraehenbuehl, P.)Krahenbuhl, P. Krähenbühl, P. (Maybe also Kraehenbuehl, P.)
32 for Krahenbuhl, P.
Krahenbuhl, R.A.
* 2013: Enhancement of Magnetic Data by Stable Downward Continuation for UXO Application
Krahenmann, S.[Stefan]
* 2013: Satellite-Based Surface Radiation Climatology Derived by Combining Climate Data Records and Near-Real-Time Data, A
Includes: Krahenmann, S.[Stefan] Krähenmann, S.[Stefan] (Maybe also Kraehenmann, S.)
Krahmer, E.[Emiel]
* 2013: Positive Affective Interactions: The Role of Repeated Exposure and Copresence
* 2022: Affective Words and the Company They Keep: Studying the Accuracy of Affective Word Lists in Determining Sentence and Word Valence in a Domain-Specific Corpus
Krahmer, F.
* 2014: RIP-Based Approach to Sigma-Delta Quantization for Compressed Sensing, An
* 2014: Stable and Robust Sampling Strategies for Compressive Imaging
* 2016: Robust Reconstruction of Accelerated Perfusion MRI Using Local and Nonlocal Constraints
* 2018: Spectral Methods for Passive Imaging: Nonasymptotic Performance and Robustness
* 2020: HDR Imaging From Quantization Noise
* 2020: HDR Tomography VIA Modulo Radon Transform
* 2022: Modulo Radon Transform: Theory, Algorithms, and Applications, The
* 2023: Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation
Includes: Krahmer, F. Krahmer, F.[Felix]
8 for Krahmer, F.
Krahn, M.[Maximilian]
* 2021: Convex Joint Graph Matching and Clustering via Semidefinite Relaxations
Krahn, P.[Philippa]
* 2017: Analysis of Activation-Recovery Intervals from Intra-cardiac Electrograms in a Pre-clinical Chronic Model of Myocardial Infarction
Krahnstoever, N.[Nils]
* 1999: 3D statistical shape models for medical image segmentation
* 2000: Generation of Point-Based 3D Statistical Shape Models for Anatomical Objects
* 2002: Multimodal human-computer interaction for crisis management systems
* 2003: Speech-gesture driven multimodal interfaces for crisis management
* 2004: Computing curvature-adaptive surface triangulations of three-dimensional image data
* 2005: Simultaneous Estimation of Segmentation and Shape
* 2006: Method and apparatus for providing virtual touch interaction in the drive-thru
* 2007: Automatic Face Recognition from Skeletal Remains
* 2007: Method and system for detecting conscious hand movement patterns and computer-generated visual feedback for facilitating human-computer interaction
* 2007: What are customers looking at?
* 2008: Commentary Paper 1 on Visual Players Detection and Tracking in Soccer Matches
* 2009: Intelligent Video for Protecting Crowded Sports Venues
* 2009: model change detection approach to dynamic scene modeling, A
* 2009: Monitoring, recognizing and discovering social networks
* 2009: Multi-camera person tracking in crowded environments
* 2010: Group Level Activity Recognition in Crowded Environments across Multiple Cameras
* 2011: Gaze and body pose estimation from a distance
* 2011: Probabilistic group-level motion analysis and scenario recognition
* 2011: Tracking gaze direction from far-field surveillance cameras
* 2012: Computer vision aided target linked radiation imaging
Includes: Krahnstoever, N.[Nils] Krahnstoever, N.
20 for Krahnstoever, N.
Krahnstoever, N.O.
* 2001: Towards a unified approach for tracking and analysis of human motion
* 2002: Adaptive texture and color segmentation for tracking moving objects
* 2002: Robust probabilistic estimation of uncertain appearance for model-based tracking
* 2003: Appearance management and cue fusion for 3D model-based tracking
* 2003: Automatic acquisition and initialization of articulated models
* 2004: Articulated models from video
* 2005: Activity Recognition using Visual Tracking and RFID
* 2005: Bayesian Autocalibration for Surveillance
* 2005: Detecting and counting people in surveillance applications
* 2005: Multi-Target Tracking Using Hybrid Particle Filtering
* 2006: Autocalibration from Tracks of Walking People
* 2007: View adaptive detection and distributed site wide tracking
* 2008: Collaborative Real-Time Control of Active Cameras in Large-Scale Surveillance Systems.
* 2008: Detecting Semantic Group Activities Using Relational Clustering
* 2008: Distributed data association and filtering for multiple target tracking
* 2008: Method and system for camera autocalibration
* 2008: Unified Crowd Segmentation
* 2011: Automatic surveillance video matting using a shape prior
Includes: Krahnstoever, N.O. Krahnstoever, N.O.[Nils O.] Krahnstoever, N.O.[Nils Oliver]
18 for Krahnstoever, N.O.
Krahwinkler, P.
* 2007: Using Airborne Laser-Scanner-Data in Forestry Management: A Novel Approach to Single Tree Delineation