Komoda, A.
* 1995: Neural-Network Dynamics For Path Planning And Obstacle Avoidance
Komoda, C.
* 1986: Syntactic Pattern Recognition with Stochastic Dissimilarity in Japanese On-Line Input System (JOLIS)-1/1.5
Komodakis, N.[Nikos]
* 2004: Interactive walkthroughs using morphable 3D-mosaics
* 2005: 3D visual reconstruction of large scale natural sites and their fauna
* 2005: New Framework for Approximate Labeling via Graph Cuts, A
* 2006: Image Completion Using Global Optimization
* 2007: 4D Ventricular Segmentation and Wall Motion Estimation Using Efficient Discrete Optimization
* 2007: Approximate Labeling via Graph Cuts Based on Linear Programming
* 2007: Expression Mimicking: From 2D Monocular Sequences to 3D Animations
* 2007: Fast, Approximately Optimal Solutions for Single and Dynamic MRFs
* 2007: Image Completion Using Efficient Belief Propagation Via Priority Scheduling and Dynamic Pruning
* 2007: Inter- and Intra-Modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming
* 2007: MRF Optimization via Dual Decomposition: Message-Passing Revisited
* 2008: Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles
* 2008: Commentary Paper on Textural Segmentation of Sidescan Sonar Images Based on Gabor Filters Bank and Active Contours without Edges
* 2008: Optical flow estimation with uncertainties through dynamic MRFs
* 2008: Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies
* 2009: Approximated Curvature Penalty in Non-rigid Registration Using Pairwise MRFs
* 2009: Beyond pairwise energies: Efficient optimization for higher-order MRFs
* 2009: Discrete tracking of parametrized curves
* 2009: Real-time exploration and photorealistic reconstruction of large natural environments
* 2009: Shape priors and discrete MRFs for knowledge-based segmentation
* 2010: Flooding and MRF-based Algorithms for Interactive Segmentation
* 2010: Towards More Efficient and Effective LP-Based Algorithms for MRF Optimization
* 2011: Efficient training for pairwise or higher order CRFs via dual decomposition
* 2011: Learning to cluster using high order graphical models with latent variables
* 2011: MRF Energy Minimization and Beyond via Dual Decomposition
* 2011: Special issue on Optimization for vision, graphics and medical imaging: Theory and applications
* 2012: MRF-Based Blind Image Deconvolution
* 2012: Semantic image segmentation using region bank
* 2012: Semantic segmentation via sparse coding over hierarchical regions
* 2013: Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems, A
* 2013: Interactive image segmentation based on synthetic graph coordinates
* 2013: Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey
* 2013: Pose Invariant Deformable Shape Priors Using L_1 Higher Order Sparse Graphs
* 2014: Discrete Visual Perception
* 2014: Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching
* 2014: MAP-Estimation Framework for Blind Deblurring Using High-Level Edge Priors, A
* 2015: Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, A
* 2015: Framework for Efficient Structured Max-Margin Learning of High-Order MRF Models, A
* 2015: HARF: Hierarchy-Associated Rich Features for Salient Object Detection
* 2015: Learning to compare image patches via convolutional neural networks
* 2015: Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model
* 2015: Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data
* 2015: Unsupervised Joint Salient Region Detection and Object Segmentation
* 2016: Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization
* 2016: Hyper-Graphs Inference through Convex Relaxations and Move Making Algorithms: Contributions and Applications in Artificial Vision
* 2016: Inference and Learning of Graphical Models: Theory and Applications in Computer Vision and Image Analysis
* 2016: LocNet: Improving Localization Accuracy for Object Detection
* 2016: OnionNet: Sharing Features in Cascaded Deep Classifiers
* 2016: Wide Residual Networks
* 2017: Deep compare: A study on using convolutional neural networks to compare image patches
* 2017: Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling
* 2017: Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
* 2017: Newton-Type Methods for Inference in Higher-Order Markov Random Fields
* 2017: Patchwork Stereo: Scalable, Structure-Aware 3D Reconstruction in Man-Made Environments
* 2017: Robust and Efficient Approach to License Plate Detection, A
* 2017: Rotation Equivariant Vector Field Networks
* 2018: Dynamic Few-Shot Visual Learning Without Forgetting
* 2018: SCOM: Spatiotemporal Constrained Optimization for Salient Object Detection
* 2019: Boosting Few-Shot Visual Learning With Self-Supervision
* 2019: Exploring weight symmetry in deep neural networks
* 2019: Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning
* 2019: Scattering Networks for Hybrid Representation Learning
* 2020: Deep Tone Mapping Operator for High Dynamic Range Images
* 2020: Learning Representations by Predicting Bags of Visual Words
* 2020: Quest: Quantized Embedding Space for Transferring Knowledge
* 2021: MARE: Self-Supervised Multi-Attention REsu-Net for Semantic Segmentation in Remote Sensing
* 2021: OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
* 2022: What to Hide from Your Students: Attention-Guided Masked Image Modeling
Includes: Komodakis, N.[Nikos] Komodakis, N.
68 for Komodakis, N.
Komodromos, G.[Giorgos]
* 2018: On the Pathway to Success: Becoming a Leading Earth Observation Centre Through the EXCELSIOR Project
* 2020: Excelsior H2020 Widespread Teaming Phase 2 Project: Earth Observation and Geoinformatics Research and Innovation Agenda for Cultural Heritage
Includes: Komodromos, G.[Giorgos] Komodromos, G.[Georgios]
Komogortsev, O.
* 2019: Assessment of Shift-Invariant CNN Gaze Mappings for PS-OG Eye Movement Sensors
Komogortsev, O.V.[Oleg V.]
* 2015: Eye movement-driven defense against iris print-attacks
* 2017: Current research in eye movement biometrics: An analysis based on BioEye 2015 competition
* 2018: Photosensor Oculography: Survey and Parametric Analysis of Designs Using Model-Based Simulation
Includes: Komogortsev, O.V.[Oleg V.] Komogortsev, O.V.
Komol, M.M.R.[Md Mostafizur Rahman]
* 2023: Deep RNN Based Prediction of Driver's Intended Movements at Intersection Using Cooperative Awareness Messages
Komolafe, T.E.[Temitope Emmanuel]
* 2024: Comparative analysis of cone-beam breast computed tomography and digital breast tomosynthesis for breast cancer diagnosis: A comprehensive study on reconstruction algorithms
Komori, H.[Hiroyuki]
* 2021: Lane Detection based on Object Detection and Image-to-image Translation
Komori, M.[Masashi]
* 2013: Asymmetry in Facial Expressions as a Function of Social Skills
* 2015: Temporal-spatial validation of knot-tying procedures using RGB-D sensor for training of surgical operation
Includes: Komori, M.[Masashi] Komori, M.[Masaru]
Komori, T.[Takafumi]
* 2016: Auditory and Visual Properties in the Virtual Reality Using Haptic Device
Komori, Y.
* 2017: Football Action Recognition Using Hierarchical LSTM
Komorita, S.[Satoshi]
* 2018: Depth Representation of LiDAR Point Cloud with Adaptive Surface Patching for Object Classification
* 2021: Learning of low-level feature keypoints for accurate and robust detection
* 2022: SDOF-Tracker: Fast and Accurate Multiple Human Tracking by Skipped-Detection and Optical-Flow
* 2023: Consistent and Diverse Human Motion Prediction Using Conditional Variational Autoencoder with Context-Aware Latent Space
* 2023: FSPose: A Heterogeneous Framework with Fast and Slow Networks for Human Pose Estimation in Videos
Komorkiewicz, M.[Mateusz]
* 2014: Real-time background generation and foreground object segmentation for high-definition colour video stream in FPGA device
* 2015: FPGA based system for real-time structure from motion computation
* 2016: FPGA-based Hardware-in-the-Loop environment using video injection concept for camera-based systems in automotive applications
* 2018: Real-time hardware-software embedded vision system for ITS smart camera implemented in Zynq SoC
Includes: Komorkiewicz, M.[Mateusz] Komorkiewicz, M.
Komorowski, J.[Jacek]
* 2010: Method for Novel Face View Synthesis Using Stereo Vision, A
* 2012: Extrinsic Camera Calibration Method and Its Performance Evaluation
* 2018: Aggregation of Binary Feature Descriptors for Compact Scene Model Representation in Large Scale Structure-from-Motion Applications
* 2018: Interest Point Detectors Stability Evaluation on ApolloScape Dataset
* 2018: SConE: Siamese Constellation Embedding Descriptor for Image Matching
* 2019: BallTrack: Football ball tracking for real-time CCTV systems
* 2020: SupernCN: Neighbourhood Consensus Network for Robust Outdoor Scenes Matching
* 2021: MinkLoc3D: Point Cloud Based Large-Scale Place Recognition
* 2022: Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
Includes: Komorowski, J.[Jacek] Komorowski, J.
9 for Komorowski, J.
Komorowski, J.P.
* 1995: Edge of Light: A new enhanced optical NDI technique
Komorowski, M.[Michal]
* 2017: Random Binary Search Trees for Approximate Nearest Neighbour Search in Binary Space
Komorowski, P.[Piotr]
* 2023: Towards Evaluating Explanations of Vision Transformers for Medical Imaging
Komorowski, T.[Tomasz]
* 2021: Determining Long-Term Land Cover Dynamics in the South Baltic Coastal Zone from Historical Aerial Photographs
Komosny, D.[Dan]
* 2017: Evaluation of Device-Independent Internet Spatial Location
Komoto, A.[Ayako]
* 2012: Dense motion segmentation of articulated objects in crowds
Komoto, T.
* 2009: Voice Instruction Learning System Using PL-T-SOM, A