Kauthold, J.
* 1998: nested recursive approach to MAP estimation based on Gauss-Markov random fields, A
Kautkar, S.N.[Satyajit N.]
* 2012: Face recognition in 2D and 2.5D using ridgelets and photometric stereo
Kautsky, J.[Jaroslav]
* 1984: Smoothed Histogram Modification for Image Processing
* 1995: Adaptive wavelets for signal analysis
* 1997: Classification Using Adaptive Wavelets for Feature-Extraction
* 1999: Robust detection of significant points in multiframe images
* 2002: new wavelet-based measure of image focus, A
* 2007: Object Recognition by Implicit Invariants
* 2010: Implicit Moment Invariants
* 2011: Blur Invariants Constructed From Arbitrary Moments
* 2018: Rotation of 2D orthogonal polynomials
* 2019: Blur Invariant Template Matching Using Projection onto Convex Sets
* 2022: Non-separable rotation moment invariants
Includes: Kautsky, J.[Jaroslav] Kautsky, J. Kautský, J.[Jaroslav]
11 for Kautsky, J.
Kauttonen, J.[Janne]
* 2022: Deep Learning for Micro-Expression Recognition: A Survey
* 2022: Uncertain Label Correction via Auxiliary Action Unit Graphs for Facial Expression Recognition
* 2024: Uncertain Facial Expression Recognition via Multi-Task Assisted Correction
Kautz, H.[Henry]
* 2008: Annotating collections of photos using hierarchical event and scene models
* 2008: Discovery of social relationships in consumer photo collections using Markov Logic
* 2009: Activity recognition using the velocity histories of tracked keypoints
* 2009: Image Annotation Within the Context of Personal Photo Collections Using Hierarchical Event and Scene Models
* 2016: Aligning movies with scripts by exploiting temporal ordering constraints
* 2021: Explaining Local, Global, And Higher-Order Interactions In Deep Learning
Includes: Kautz, H.[Henry] Kautz, H.
Kautz, J.
* 2003: Modeling the world: the virtualization pipeline
* 2004: Rendering and Simulation of Liquid Foams
* 2009: Capturing multiple illumination conditions using time and color multiplexing
* 2009: Exposure fusion: A simple and practical alternative to high dynamic range photography
* 2011: Display-aware image editing
* 2011: Fast and Robust Pyramid-based Image Processing
* 2012: Background Inpainting for Videos with Dynamic Objects and a Free-Moving Camera
* 2012: Match Graph Construction for Large Image Databases
* 2012: PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation
* 2013: Fully-Connected CRFs with Non-Parametric Pairwise Potential
* 2013: On Visual Realism of Synthesized Imagery
* 2014: Hierarchical Subquery Evaluation for Active Learning on a Graph
* 2014: Highly Overparameterized Optical Flow Using PatchMatch Belief Propagation
* 2014: PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation
* 2014: User Directed Multi-view-stereo
* 2015: Hand gesture recognition with 3D convolutional neural networks
* 2015: Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid
* 2015: Locally non-rigid registration for mobile HDR photography
* 2015: Modeling object appearance using Context-Conditioned Component Analysis
* 2015: Robust Model-Based 3D Head Pose Estimation
* 2016: Accelerated Generative Models for 3D Point Cloud Data
* 2016: Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks
* 2017: Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network
* 2017: Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting
* 2017: Lightweight Approach for On-the-Fly Reflectance Estimation, A
* 2017: Polarimetric Multi-view Stereo
* 2017: Reconstructing Intensity Images from Binary Spatial Gradient Cameras
* 2018: Closed-Form Solution to Photorealistic Image Stylization, A
* 2018: Deep Semantic Face Deblurring
* 2018: Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
* 2018: Geometry-Aware Learning of Maps for Camera Localization
* 2018: Hand Pose Estimation via Latent 2.5D Heatmap Regression
* 2018: HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration
* 2018: High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
* 2018: Improving Landmark Localization with Semi-Supervised Learning
* 2018: Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation
* 2018: Learning Superpixels with Segmentation-Aware Affinity Loss
* 2018: Light-Weight Head Pose Invariant Gaze Tracking
* 2018: Making Convolutional Networks Recurrent for Visual Sequence Learning
* 2018: MoCoGAN: Decomposing Motion and Content for Video Generation
* 2018: Multimodal Unsupervised Image-to-Image Translation
* 2018: PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
* 2018: Separating Reflection and Transmission Images in the Wild
* 2018: Simple and Effective Fusion Approach for Multi-frame Optical Flow Estimation, A
* 2018: Simultaneous Edge Alignment and Learning
* 2018: SPLATNet: Sparse Lattice Networks for Point Cloud Processing
* 2018: Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
* 2018: Superpixel Sampling Networks
* 2018: Switchable Temporal Propagation Network
* 2018: Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset
* 2019: Extreme View Synthesis
* 2019: Few-Shot Adaptive Gaze Estimation
* 2019: Few-Shot Unsupervised Image-to-Image Translation
* 2019: Fusion Approach for Multi-Frame Optical Flow Estimation, A
* 2019: Importance Estimation for Neural Network Pruning
* 2019: Joint Discriminative and Generative Learning for Person Re-Identification
* 2019: Learning Linear Transformations for Fast Image and Video Style Transfer
* 2019: Learning Propagation for Arbitrarily-Structured Data
* 2019: Neural Inverse Rendering of an Indoor Scene From a Single Image
* 2019: Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera
* 2019: Pixel-Adaptive Convolutional Neural Networks
* 2019: PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image
* 2019: Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments
* 2019: SCOPS: Self-Supervised Co-Part Segmentation
* 2019: SENSE: A Shared Encoder Network for Scene-Flow Estimation
* 2019: Statistical Nearest Neighbors for Image Denoising
* 2019: STEP: Spatio-Temporal Progressive Learning for Video Action Detection
* 2019: Unsupervised Video Interpolation Using Cycle Consistency
* 2020: Bi3D: Stereo Depth Estimation via Binary Classifications
* 2020: Contrastive Learning for Weakly Supervised Phrase Grounding
* 2020: DeepGMR: Learning Latent Gaussian Mixture Models for Registration
* 2020: Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion
* 2020: Exploiting Semantics for Face Image Deblurring
* 2020: Guest Editorial: Generative Adversarial Networks for Computer Vision
* 2020: Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection
* 2020: Joint Disentangling and Adaptation for Cross-domain Person Re-identification
* 2020: Meshlet Priors for 3D Mesh Reconstruction
* 2020: Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation
* 2020: Novel View Synthesis of Dynamic Scenes With Globally Coherent Depths From a Monocular Camera
* 2020: NRMVS: Non-Rigid Multi-View Stereo
* 2020: Self-supervised Single-view 3d Reconstruction via Semantic Consistency
* 2020: Self-Supervised Viewpoint Learning From Image Collections
* 2020: Two-Shot Spatially-Varying BRDF and Shape Estimation
* 2020: Ufo2: A Unified Framework Towards Omni-supervised Object Detection
* 2020: UNAS: Differentiable Architecture Search Meets Reinforcement Learning
* 2020: Weakly Supervised 3d Hand Pose Estimation via Biomechanical Constraints
* 2020: Weakly-Supervised 3D Human Pose Learning via Multi-View Images in the Wild
* 2021: Binary TTC: A Temporal Geofence for Autonomous Navigation
* 2021: DexYCB: A Benchmark for Capturing Hand Grasping of Objects
* 2021: Domain Stylization: A Fast Covariance Matching Framework Towards Domain Adaptation
* 2021: KAMA: 3D Keypoint Aware Body Mesh Articulation
* 2021: Learning Indoor Inverse Rendering with 3D Spatially-Varying Lighting
* 2021: Learning to Track Instances without Video Annotations
* 2021: See through Gradients: Image Batch Recovery via GradInversion
* 2021: Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models
* 2021: Self-Supervised Object Detection via Generative Image Synthesis
* 2021: Weakly-Supervised Physically Unconstrained Gaze Estimation
* 2022: A-ViT: Adaptive Tokens for Efficient Vision Transformer
* 2022: CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs
* 2022: Displacement-Invariant Cost Computation for Stereo Matching
* 2022: FreeSOLO: Learning to Segment Objects without Annotations
* 2022: GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras
* 2022: GradViT: Gradient Inversion of Vision Transformers
* 2022: GroupViT: Semantic Segmentation Emerges from Text Supervision
* 2022: LANA: Latency Aware Network Acceleration
* 2022: Learning Contrastive Representation for Semantic Correspondence
* 2022: Learning Contrastive Representation for Semantic Correspondence
* 2022: Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion
* 2023: Best Defense is a Good Offense: Adversarial Augmentation Against Adversarial Attacks, The
* 2023: BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
* 2023: Do Gradient Inversion Attacks Make Federated Learning Unsafe?
* 2023: Global Vision Transformer Pruning with Hessian-Aware Saliency
* 2023: Heterogeneous Continual Learning
* 2023: PhysDiff: Physics-Guided Human Motion Diffusion Model
* 2023: RANA: Relightable Articulated Neural Avatars
* 2023: Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models
* 2023: Zero-shot Pose Transfer for Unrigged Stylized 3D Characters
Includes: Kautz, J. Kautz, J.[Jan]
117 for Kautz, J.
Kautz, M.[Mark]
* 2023: Rangeland Brush Estimation Tool (RaBET): An Operational Remote Sensing-Based Application for Quantifying Woody Cover on Western Rangelands
Kautz, T.[Thomas]
* 2017: Generic performance measure for multiclass-classifiers
Kautzner, M.
* 2004: Free viewpoint video extraction, representation, coding, and rendering
* 2005: Predictive Compression of Dynamic 3D Meshes
* 2006: Rate-Distortion Optimization in Dynamic Mesh Compression
* 2006: Rate-distortion-optimized predictive compression of dynamic 3D mesh sequences
Includes: Kautzner, M. Kautzner, M.[Matthias]