Juri, A.A.[Arief Affendi]
* 2016: Low-energy motion estimation architecture using quadrant-based multi-octagon (QBMO) algorithm
Juric, D.[Darko]
* 2014: Unified Approach for On-Road Visual Night-Time Vehicle Light Detection, A
Juricic, B.
* 2017: Reduction of Air Traffic Complexity Using Trajectory-Based Operations and Validation of Novel Complexity Indicators
Jurie, F.
* 1995: Recognition Network Model-Based Approach to Dynamic Image Understanding, A
* 1998: Hypothesis Verification in Model-Based Object Recognition with a Gaussian Error Model
* 1998: Tracking Objects with a Recognition Algorithm
* 1999: new log-polar mapping for space variant imaging, A
* 1999: New Log-Polar Mapping for Space Variant Imaging. Application to Face Detection and Tracking, A
* 1999: Robust hypothesis verification: Application to model-based object recognition
* 1999: Solution of the Simultaneous Pose and Correspondence Problem Using Gaussian Error Model
* 2000: Recognition of 3d Textured Objects by Mixing View-based and Model-based Representations
* 2001: Object Tracking with Pan-Tilt-Zoom Camera: Application to car driving assistance
* 2001: Real Time 3D Template Matching
* 2001: Real Time Tracking of 3d Objects with Occultations
* 2001: Simple and Efficient Template Matching Algorithm, A
* 2001: Tracking of 3D Objects from Appearance
* 2002: Hyperplane Approximation for Template Matching
* 2002: Real time 3D face tracking from appearance
* 2002: Real Time Robust Template Matching
* 2002: Real time tracking of 3D objects: an efficient and robust approach
* 2002: Real-time Registration for Image Moisaicing
* 2002: Real-Time Tracking Using Wavelet Representation
* 2003: Contour/Texture Approach for Visual Tracking
* 2004: Robust real time tracking of 3D objects
* 2004: Scale-invariant shape features for recognition of object categories
* 2005: Creating Efficient Codebooks for Visual Recognition
* 2005: Managing Algorithmic Skeleton Nesting Requirements in Realistic Image Processing Applications: The Case of the SKiPPER-II Parallel Programming Environment's Operating Model
* 2005: Tracking 3D Object using Flexible Models
* 2005: Vehicle Categorization: Parts for Speed and Accuracy
* 2006: Latent Mixture Vocabularies for Object Categorization
* 2006: Sampling Strategies for Bag-of-Features Image Classification
* 2007: Accurate Object Detection with Deformable Shape Models Learnt from Images
* 2007: Learning Visual Similarity Measures for Comparing Never Seen Objects
* 2008: Combining appearance models and Markov Random Fields for category level object segmentation
* 2008: Groups of Adjacent Contour Segments for Object Detection
* 2008: Margin-based discriminant dimensionality reduction for visual recognition
* 2008: Randomized Clustering Forests for Image Classification
* 2008: Unifying discriminative visual codebook generation with classifier training for object category recognition
* 2009: Combining efficient object localization and image classification
* 2009: Latent mixture vocabularies for object categorization and segmentation
* 2009: Learning shape prior models for object matching
* 2010: Category Level Object Segmentation by Combining Bag-of-Words Models with Dirichlet Processes and Random Fields
* 2010: From Images to Shape Models for Object Detection
* 2010: Improving object classification using semantic attributes
* 2010: Improving web image search results using query-relative classifiers
* 2011: Learning discriminative spatial representation for image classification
* 2011: Learning Tree-structured Quantizers for Image Categorization
* 2011: Modeling spatial layout with Fisher vectors for image categorization
* 2011: Visual word disambiguation by semantic contexts
* 2012: BiCov: a novel image representation for person re-identification and face verification
* 2012: Discriminative spatial saliency for image classification
* 2012: Face Recognition using Local Quantized Patterns
* 2012: Finding Groups of Duplicate Images In Very Large Dataset
* 2012: Fusion of Speech, Faces and Text for Person Identification in TV Broadcast
* 2012: Improving Image Classification Using Semantic Attributes
* 2012: Learning Compact Visual Attributes for Large-Scale Image Classification
* 2012: Local Descriptors Encoded by Fisher Vectors for Person Re-identification
* 2012: Local Higher-Order Statistics (LHS) for Texture Categorization and Facial Analysis
* 2012: Motion Models that Only Work Sometimes
* 2012: PCCA: A new approach for distance learning from sparse pairwise constraints
* 2013: Expanded Parts Model for Human Attribute and Action Recognition in Still Images
* 2013: Novel Approach for Efficient SVM Classification with Histogram Intersection Kernel, A
* 2014: Covariance descriptor based on bio-inspired features for person re-identification and face verification
* 2014: Discovering and Aligning Discriminative Mid-level Features for Image Classification
* 2014: Discriminative Autoencoders for Small Targets Detection
* 2014: EPML: Expanded Parts Based Metric Learning for Occlusion Robust Face Verification
* 2014: Histograms of Pattern Sets for Image Classification and Object Recognition
* 2014: Image re-ranking system based on closed frequent patterns
* 2014: Photorealistic Face De-Identification by Aggregating Donors' Face Components
* 2014: Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval
* 2015: Boosted Metric Learning for Efficient Identity-Based Face Retrieval
* 2015: Discriminative part model for visual recognition
* 2015: Introduction to the CVIU special issue on 'Parts and Attributes: Mid-level representation for object recognition, scene classification and object detection'
* 2015: Learning the Structure of Deep Architectures Using L1 Regularization
* 2016: CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval
* 2016: Hard Negative Mining for Metric Learning Based Zero-Shot Classification
* 2016: Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classiffication
* 2016: Local Higher-Order Statistics (LHS) describing images with statistics of local non-binarized pixel patterns
* 2016: MLBoost Revisited: A Faster Metric Learning Algorithm for Identity-Based Face Retrieval
* 2016: novel target detection algorithm combining foreground and background manifold-based models, A
* 2016: Pattern localization in historical document images via template matching
* 2016: SPLeaP: Soft Pooling of Learned Parts for Image Classification
* 2016: Vehicle detection in aerial imagery: A small target detection benchmark
* 2017: Automatic Discovery of Discriminative Parts as a Quadratic Assignment Problem
* 2017: Expanded Parts Model for Semantic Description of Humans in Still Images
* 2017: Generating Visual Representations for Zero-Shot Classification
* 2017: On the use of deep neural networks for the detection of small vehicles in ortho-images
* 2017: Unsupervised deep hashing with stacked convolutional autoencoders
* 2017: Unsupervised Part Learning for Visual Recognition
* 2018: CentralNet: A Multilayer Approach for Multimodal Fusion
* 2018: Deep Multi-Scale Architectures for Monocular Depth Estimation
* 2018: RPNet: An End-to-End Network for Relative Camera Pose Estimation
* 2018: Semantic Bottleneck for Computer Vision Tasks
* 2018: TS-NET: Combining Modality Specific and Common Features for Multimodal Patch Matching
* 2019: Detecting Overfitting of Deep Generative Networks via Latent Recovery
* 2019: MFAS: Multimodal Fusion Architecture Search
* 2020: Study Of Alignment Mechanisms In Adversarial Domain Adaptation, A
* 2021: Generating Private Data Surrogates for Vision Related Tasks
* 2021: Hierarchical Head Design for Object Detectors
* 2021: Semi-Supervised Class Incremental Learning
* 2022: Diffusion Models for Counterfactual Explanations
* 2022: Width-Wise Parameter Sharing for Multi-Domain GAN Learning
* 2023: Adversarial Counterfactual Visual Explanations
* 2023: LatentPatch: A Non-Parametric Approach for Face Generation and Editing
* 2023: Multi-Exit Resource-Efficient Neural Architecture for Image Classification with Optimized Fusion Block
* 2023: On the inductive biases of deep domain adaptation
* 2024: Text-to-Image Models for Counterfactual Explanations: A Black-Box Approach
Includes: Jurie, F. Jurie, F.[Frederic] Jurie, F.[Frédéric] Jurie, F.[Frédéric]
104 for Jurie, F.
Jurie, S.F.[S Frederic]
* 2023: Exploring the Connection Between Neuron Coverage and Adversarial Robustness in DNN Classifiers
Includes: Jurie, S.F.[S Frederic] Jurie, S.F.[S Frédéric]
Jurik, J.[Joel]
* 2011: Prototyping a light field display involving direct observation of a video projector array
* 2012: Geometry-corrected light field rendering for creating a holographic stereogram
Jurik, V.
* 2016: Cognitive Aspects Of Collaboration In 3d Virtual Environments
* 2017: Generating various composite human faces from real 3D facial images
* 2018: Collaborative Immersive Virtual Environments for Education in Geography
* 2018: Evaluation of User Performance in Interactive and Static 3D Maps
* 2021: Comparison of Monoscopic and Stereoscopic 3D Visualizations: Effect on Spatial Planning in Digital Twins, A
Includes: Jurik, V. Jurík, V. Jurík, V.[Vojtech]
Jurio, A.
* 2011: Image Magnification Using Interval Information
Jurisic, M.
* 2016: Visualization of Deformable Image Registration Quality Using Local Image Dissimilarity
* 2020: Optimal Soybean (Glycine max L.) Land Suitability Using GIS-Based Multicriteria Analysis and Sentinel-2 Multitemporal Images
* 2022: Role of Remote Sensing Data and Methods in a Modern Approach to Fertilization in Precision Agriculture, The
* 2022: UAS and Machine Learning Classification Approach to Suitability Prediction of Expanding Natural Habitats for Endangered Flora Species, A
Includes: Jurisic, M. Jurišic, M.[Mladen]