Index for vasc

Vascon, S. Co Author Listing * Context aware nonnegative matrix factorization clustering
* Detecting conversational groups in images and sequences: A robust game-theoretic approach
* Game-Theoretic Probabilistic Approach for Detecting Conversational Groups, A
* On Association Graph Techniques for Hypergraph Matching
* stable graph-based representation for object recognition through high-order matching, A
* Using Dominant Sets for k-NN Prototype Selection
Includes: Vascon, S. Vascon, S.[Sebastiano]

Vasconcellos, M.A.L.[Marcos A. Leiva] Co Author Listing * Semi-supervised Puzzle-Based Method for Separating the Venous and Arterial Vascular Networks in Retinal Images, A

Vasconcellos, N.C.M. Co Author Listing * Use of Coherence Measurements between EEG and EMG on Identification of the Myoclonus Locus

Vasconcelos, C.[Cristina] Co Author Listing * Unsupervised cosegmentation based on global clustering and saliency

Vasconcelos, C.N.[Cristina Nader] Co Author Listing * Bipartite Graph Matching Computation on GPU
* Lloyd's Algorithm on GPU
* Real-Time Video Processing for Multi-Object Chromatic Tracking
Includes: Vasconcelos, C.N.[Cristina Nader] Vasconcelos, C.N.[Cristina N.] Vasconcelos, C.N.

Vasconcelos, F.[Francisco] Co Author Listing * Automatic Camera Calibration Using Multiple Sets of Pairwise Correspondences
* Minimal Solution for Camera Calibration Using Independent Pairwise Correspondences, A
* Minimal Solution for the Extrinsic Calibration of a Camera and a Laser-Rangefinder, A
* Person-following UAVs
* Refractive Structure-from-Motion Through a Flat Refractive Interface
* Similarity Registration Problems for 2D/3D Ultrasound Calibration
Includes: Vasconcelos, F.[Francisco] Vasconcelos, F.

Vasconcelos, G.C. Co Author Listing * Neural Networks vs. Logistic Regression: A Comparative Study on a Large Data Set
* Object recognition under severe occlusions with a hidden Markov model approach
* systematic solution for the NN3 Forecasting Competition problem based on an ensemble of MLP neural networks, A

Vasconcelos, L.[Luiz] Co Author Listing * new intelligent systems approach to 3D animation in television, A

Vasconcelos, L.O.[Levi O.] Co Author Listing * KVD: Scale invariant keypoints by combining visual and depth data
* Scale Invariant Keypoint Detector Based on Visual and Geometrical Cues, A

Vasconcelos, M. Co Author Listing * Estimating the Above-Ground Biomass in Miombo Savanna Woodlands (Mozambique, East Africa) Using L-Band Synthetic Aperture Radar Data
* Natural Image Statistics and Low-Complexity Feature Selection
* Scalable discriminant feature selection for image retrieval and recognition
* Weakly Supervised Top-down Image Segmentation
Includes: Vasconcelos, M. Vasconcelos, M.[Manuela]

Vasconcelos, M.J.[Maria J.] Co Author Listing * Burned area estimations derived from Landsat ETM+ and OLI data: Comparing Genetic Programming with Maximum Likelihood and Classification and Regression Trees

Vasconcelos, M.J.M.[Maria Joao M.] Co Author Listing * No-reference Blur Assessment of Dermatological Images Acquired via Mobile Devices
* Principal Axes-Based Asymmetry Assessment Methodology for Skin Lesion Image Analysis
Includes: Vasconcelos, M.J.M.[Maria Joao M.] Vasconcelos, M.J.M.[Maria Joćo M.]

Vasconcelos, N. Co Author Listing * Generic Promotion of Diffusion-Based Salient Object Detection
* Geodesic Regression on the Grassmannian
* How many bits does it take for a stimulus to be salient?
* Image Compression using Object-Based Regions of Interest
* Learning Optimal Seeds for Diffusion-Based Salient Object Detection
* Parametric Regression on the Grassmannian
* Peak-Piloted Deep Network for Facial Expression Recognition
* Pre and Post-Filtering for Low Bit-Rate Video Coding
* Scene classification with semantic Fisher vectors
* Semantic Clustering for Robust Fine-Grained Scene Recognition
* Towards Realistic Predictors
Includes: Vasconcelos, N. Vasconcelos, N.[Nuno]
11 for Vasconcelos, N.

Vasconcelos, N.M.[Nuno M.] Co Author Listing * Home Page.
* email: Vasconcelos, N.M.[Nuno M.]: nuno AT media mit edu
* Adapted Gaussian models for image classification
* AGA: Attribute-Guided Augmentation
* Anomaly Detection and Localization in Crowded Scenes
* Anomaly detection in crowded scenes
* Automatic initialization and tracking using attentional mechanisms
* Background subtraction in highly dynamic scenes
* Bayesian Framework for Semantic Content Characterization, A
* Bayesian Model Adaptation for Crowd Counts
* Bayesian modeling of video editing and structure: Semantic features for video summarization and browsing
* Bayesian Poisson regression for crowd counting
* Bayesian relevance feedback for content-based image retrieval
* Bayesian Video Modeling Framework for Shot Segmentation and Content Characterization, A
* Biologically Inspired Object Tracking Using Center-Surround Saliency Mechanisms
* Biologically plausible detection of amorphous objects in the wild
* Boosted Convolutional Neural Networks
* Boosting algorithms for simultaneous feature extraction and selection
* Bottom-up saliency is a discriminant process
* Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification
* Classifying Video with Kernel Dynamic Textures
* Complex Activity Recognition Via Attribute Dynamics
* Complex discriminant features for object classification
* Content-Based Pre-Indexed Video
* Content-based Retrieval from Image Databases: Current Solutions and Future Directions
* Cost-Sensitive Boosting
* Counting People With Low-Level Features and Bayesian Regression
* Cross-modal domain adaptation for text-based regularization of image semantics in image retrieval systems
* Deep Learning with Low Precision by Half-Wave Gaussian Quantization
* Deep Scene Image Classification with the MFAFVNet
* Discriminant Interest Points are Stable
* Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition
* Dynamic Pooling for Complex Event Recognition
* Empirical Bayesian EM Based Motion Segmentation
* Empirical Bayesian Motion Segmentation
* Experimental Comparison of Three Guiding Principles for the Detection Salient Image Locations: Stability, Complexity, and Discrimination, An
* Exploiting group structure to improve retrieval accuracy and speed in image databases
* family of information-theoretic algorithms for low-complexity discriminant feature selection in image retrieval, A
* Feature selection by maximum marginal diversity: Optimality and Implications for Visual Recognition
* Formulating Semantic Image Annotation as a Supervised Learning Problem
* Frame-free video
* From Pixels to Semantic Spaces: Advances in Content-Based Image Retrieval
* Generalized Stauffer-Grimson background subtraction for dynamic scenes
* High Detection-rate Cascades for Real-Time Object Detection
* Holistic context modeling using semantic co-occurrences
* Holistic Context Models for Visual Recognition
* Image Indexing with Mixture Hierarchies
* Integrated Learning of Saliency, Complex Features, and Object Detectors from Cluttered Scenes
* Kullback-Leibler Kernel as a Framework for Discriminant and Localized Representations for Visual Recognition, The
* Latent Dirichlet Allocation Models for Image Classification
* Layered Dynamic Textures
* Learning Complexity-Aware Cascades for Deep Pedestrian Detection
* Learning Optimal Embedded Cascades
* Learning Over Multiple Temporal Scales in Image Databases
* Learning Receptive Fields for Pooling from Tensors of Feature Response
* Minimum Bayes error features for visual recognition
* Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction
* Mixtures of Dynamic Textures
* Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures
* Multiple instance learning for soft bags via top instances
* Natural Image Statistics and Low-Complexity Feature Selection
* Novel Approach to FRUC Using Discriminant Saliency and Frame Segmentation, A
* On the Complexity of Probabilistic Image Retrieval
* On the design of robust classifiers for computer vision
* On the regularization of image semantics by modal expansion
* On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval
* Person-following UAVs
* Privacy preserving crowd monitoring: Counting people without people models or tracking
* Probabilistic Architecture for Content-based Image Retrieval, A
* Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes
* Probabilistic Retrieval: New Insights and Experimental Results
* Query by Semantic Example
* Recognizing Activities via Bag of Words for Attribute Dynamics
* RESOUND: Towards Action Recognition Without Representation Bias
* Robust Deformable and Occluded Object Tracking With Dynamic Graph
* Saliency-based discriminant tracking
* Scalable discriminant feature selection for image retrieval and recognition
* Scene classification with low-dimensional semantic spaces and weak supervision
* Scene Recognition on the Semantic Manifold
* Semantically Consistent Regularization for Zero-Shot Recognition
* Spatiotemporal model-based optic flow estimation
* Spatiotemporal Motion Model for Video Summarization, A
* Spatiotemporal Saliency in Dynamic Scenes
* Statistical Models of Video Structure for Content Analysis and Characterization
* study of query by semantic example, A
* Supervised Learning of Semantic Classes for Image Annotation and Retrieval
* systematic study of the role of context on image classification, A
* TaylorBoost: First and second-order boosting algorithms with explicit margin control
* Towards Semantically Meaningful Feature Spaces for the Characterization of Video Content
* Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection, A
* Unifying View of Image Similarity, A
* Variational layered dynamic textures
* VLAD3: Encoding Dynamics of Deep Features for Action Recognition
* Weakly Supervised Top-down Image Segmentation
* What Is the Role of Independence for Visual Recognition?
Includes: Vasconcelos, N.M.[Nuno M.] Vasconcelos, N.M.[Nuno Miguel] Vasconcelos, N.M.
95 for Vasconcelos, N.M.

Vasconcelos, R.M.[Rosa M.] Co Author Listing * Determination of yarn production characteristics using image processing

Index for "v"


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