Konuk, B.[Baris]
* 2013: spatiotemporal no-reference video quality assessment model, A
* 2014: parametric video quality model based on source and network characteristics, A
Konuk, E.
* 2019: Empirical Study of the Relation Between Network Architecture and Complexity, An
Konuko, G.[Goluck]
* 2022: Ultra-Low Bitrate Video Conferencing Using Deep Image Animation
* 2023: Predictive Coding for Animation-Based Video Compression
Konukoglu, E.
* 2006: Shape-Based Hand Recognition
* 2007: Anisotropic Multi-front Fast Marching Method for Real-Time Simulation of Cardiac Electrophysiology, An
* 2007: Polyp Enhancing Level Set Evolution of Colon Wall: Method and Pilot Study
* 2010: Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations
* 2010: Regression Forests for Efficient Anatomy Detection and Localization in CT Studies
* 2011: Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning
* 2012: Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity
* 2012: Joint Classification-Regression Forests for Spatially Structured Multi-Object Segmentation
* 2013: WESD: Weighted Spectral Distance for Measuring Shape Dissimilarity
* 2015: Multimodal Brain Tumor Image Segmentation Benchmark (BRATS), The
* 2016: Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases
* 2018: Reducing Navigators in Free-Breathing Abdominal MRI via Temporal Interpolation Using Convolutional Neural Networks
* 2018: Sparse-then-dense alignment-based 3D map reconstruction method for endoscopic capsule robots
* 2019: MR Image Reconstruction Using Deep Density Priors
* 2019: Synchrotron X-Ray Phase Contrast Imaging and Deep Neural Networks for Cardiac Collagen Quantification in Hypertensive Rat Model
* 2020: Decomposing Image Generation into Layout Prediction and Conditional Synthesis
* 2021: Exploring Cross-Image Pixel Contrast for Semantic Segmentation
* 2022: ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior
* 2022: Rethinking Semantic Segmentation: A Prototype View
* 2022: Sampling Possible Reconstructions of Undersampled Acquisitions in MR Imaging With a Deep Learned Prior
* 2023: Wiener Guided DIP for Unsupervised Blind Image Deconvolution
Includes: Konukoglu, E. Konukoglu, E.[Ender]
21 for Konukoglu, E.
Konur, K.
* 2021: Role of Geomatics Engineer in Smart Cities: a View Within The Framework of Turkish 2020-2023 National Smart Cities Strategy And Action Plan, The
Konur, U.[Umut]
* 2007: Predictive vector quantization of 3-D mesh geometry by representation of vertices in local coordinate systems
* 2010: 3-D Mesh Geometry Compression With Set Partitioning in the Spectral Domain
Konuru, R.[Raghavan]
* 2023: Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach
Konushin, A.
* 2002: Depth image-based representations for static and animated 3D objects
* 2004: Depth Image-Based Representation and Compression for Static and Animated 3-D Objects
* 2007: Interactive Image-Based Urban Modelling
* 2008: Fast Automatic Single-View 3-d Reconstruction of Urban Scenes
* 2009: Efficient Road Mapping via Interactive Image Segmentation
* 2011: People Tracking Algorithm for Human Height Mounted Cameras
* 2012: Alpha-Flow for Video Matting
* 2013: Evaluation of Traffic Sign Recognition Methods Trained on Synthetically Generated Data
* 2017: Gait Recognition Based On Convolutional Neural Networks
* 2018: Deep probabilistic human pose estimation
* 2019: AdaptIS: Adaptive Instance Selection Network
* 2019: Human identification by gait from event-based camera
* 2019: Pose-based deep gait recognition
* 2020: F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation
* 2021: Foreground-aware Semantic Representations for Image Harmonization
* 2022: FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection
* 2022: ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
* 2022: Interactive Image Segmentation with Transformers
* 2022: Reviving Iterative Training with Mask Guidance for Interactive Segmentation
* 2022: Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures with Uncalibrated Stereo Data
* 2023: Independent Component Alignment for Multi-Task Learning
* 2023: Neural Global Illumination for Inverse Rendering
* 2023: TR3D: Towards Real-Time Indoor 3D Object Detection
* 2024: Top-Down Beats Bottom-Up in 3D Instance Segmentation
Includes: Konushin, A. Konushin, A.[Anton]
24 for Konushin, A.
Konushin, A.S.
* 2017: Convolutional Neural Network for Camera Pose Estimation From Object Detections
* 2019: Face Recognition With Low False Positive Error Rate
Konushin, V.[Vadim]
* 2008: Fast Automatic Single-View 3-d Reconstruction of Urban Scenes
* 2011: People Tracking Algorithm for Human Height Mounted Cameras
Konushin, V.S.
* 2019: Face Recognition With Low False Positive Error Rate