Jojic, N.[Nebojsa]
Co Author Listing * Audio-Video Sensor Fusion with Probabilistic Graphical Models
* Capturing Image Structure with Probabilistic Index Maps
* Capturing Layers in Image Collections with Componential Models: From the Layered Epitome to the Componential Counting Grid
* Capturing long-range correlations with patch models
* Capturing Spatial Interdependence in Image Features: The Counting Grid, an Epitomic Representation for Bags of Features
* Capturing Video Structure with Mixture of Probabilistic Index Maps
* Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models, A
* Computer Modeling, Analysis, and Synthesis of Dressed Humans
* Consistent Segmentation for Optical Flow Estimation
* Detection and estimation of pointing gestures in real-time stereo sequences
* Epitomic analysis of appearance and shape
* ER3: A Unified Framework for Event Retrieval, Recognition and Recounting
* Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video
* Estimating Mixture Models of Images and Inferring Spatial Transformations Using the EM Algorithm
* Fast Transformation-Invariant Component Analysis
* Feature Selection Using Counting Grids: Application to Microarray Data
* Free Energy Score Spaces: Using Generative Information in Discriminative Classifiers
* Generalized Expansion Matching Based Feature Extractor, A
* Generalized Feature Extractor Using Expansion Matching and the Karhunen-Loeve Transform, A
* Generative Model of Dense Optical Flow in Layers, A
* graphical model for audiovisual object tracking, A
* hybrid generative/discriminative classification framework based on free-energy terms, A
* Image analysis by counting on a grid
* Interactive Montages of Sprites for Indexing and Summarizing Security Video
* L0-Sparse Subspace Clustering
* Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data
* Learning appearance and transparency manifolds of occluded objects in layers
* Learning Flexible Sprites in Video Layers
* Learning Montages of Transformed Latent Images as Representations of Objects That Change in Appearance
* Local Context Normalization: Revisiting Local Normalization
* LOCUS: Learning Object Classes with Unsupervised Segmentation
* Mining Self-similarity: Label Super-resolution with Epitomic Representations
* Multi-Label Learning from Single Positive Labels
* Object Recognition with Hierarchical Stel Models
* Probability models for high dynamic range imaging
* Recursive estimation of generative models of video
* Scene generative models for adaptive video fast forward
* Separating Appearance from Deformation
* Spring Lattice Counting Grids: Scene Recognition Using Deformable Positional Constraints
* Stel Component Analysis: Joint Segmentation, Modeling and Recognition of Objects Classes
* Stel component analysis: Modeling spatial correlations in image class structure
* Subspace Learning by L0-Induced Sparsity
* Summarization and Classification of Wearable Camera Streams by Learning the Distributions over Deep Features of Out-of-Sample Image Sequences
* System and method for visually tracking occluded objects in real time
* Tracking Self-Occluding Articulated Objects in Dense Disparity Maps
* Transformation-invariant clustering using the EM algorithm
* Transformed Component Analysis: Joint Estimation of Spatial Transformations and Image Components
* Transformed Hidden Markov Models: Estimating Mixture Models of Images and Inferring Spatial Transformations in Video Sequences
* Video Epitomes
* Video Imprint
Includes: Jojic, N.[Nebojsa] Jojic, N.
50 for Jojic, N.
Jojic, V.[Vladimir]
Co Author Listing * PatchMatch Based Joint View Selection and Depthmap Estimation