Index for vasc

Vascon, S. Standard Author Listing
     with: Albarelli, A.: stable graph-based representation for object recognitio...
     with: Annavini, E.: Characterization of Visual Object Representations in Rat...
     with: Bergamasco, F.: stable graph-based representation for object recogniti...
     with: Cristani, M.: Detecting conversational groups in images and sequences:...
     with: Cristani, M.: Game-Theoretic Probabilistic Approach for Detecting Conv...
     with: Cristani, M.: Using Dominant Sets for k-NN Prototype Selection
     with: D'Andola, M.: Characterization of Visual Object Representations in Rat...
     with: Elezi, I.: Transductive Label Augmentation for Improved Deep Network L...
     with: Hibraj, F.: Speaker Clustering Using Dominant Sets
     with: Hung, H.: Detecting conversational groups in images and sequences: A r...
     with: Hung, H.: Game-Theoretic Probabilistic Approach for Detecting Conversa...
     with: Mequanint, E.Z.: Detecting conversational groups in images and sequenc...
     with: Mequanint, E.Z.: Game-Theoretic Probabilistic Approach for Detecting C...
     with: Murino, V.: Detecting conversational groups in images and sequences: A...
     with: Murino, V.: Game-Theoretic Probabilistic Approach for Detecting Conver...
     with: Parin, Y.: Characterization of Visual Object Representations in Rat Pr...
     with: Pelillo, M.: Characterization of Visual Object Representations in Rat ...
     with: Pelillo, M.: Context aware nonnegative matrix factorization clustering
     with: Pelillo, M.: Detecting conversational groups in images and sequences: ...
     with: Pelillo, M.: Game-Theoretic Probabilistic Approach for Detecting Conve...
     with: Pelillo, M.: On Association Graph Techniques for Hypergraph Matching
     with: Pelillo, M.: Speaker Clustering Using Dominant Sets
     with: Pelillo, M.: Transductive Label Augmentation for Improved Deep Network...
     with: Rossi, L.: stable graph-based representation for object recognition th...
     with: Sandi, G.: On Association Graph Techniques for Hypergraph Matching
     with: Stadelmann, T.: Speaker Clustering Using Dominant Sets
     with: Torcinovich, A.: Transductive Label Augmentation for Improved Deep Net...
     with: Torsello, A.: stable graph-based representation for object recognition...
     with: Tripodi, R.: Context aware nonnegative matrix factorization clustering
     with: Zoccolan, D.: Characterization of Visual Object Representations in Rat...
30 for Vascon, S.

Vasconcellos, M.A.L. Standard Author Listing
     with: Castaldi, F.M.V.: Semi-supervised Puzzle-Based Method for Separating t...
     with: Felipe Riveron, E.M.: Semi-supervised Puzzle-Based Method for Separati...
     with: Gomez, E.S.: Semi-supervised Puzzle-Based Method for Separating the Ve...
     with: Morato, C.A.: Semi-supervised Puzzle-Based Method for Separating the V...

Vasconcellos, N.C.M. Standard Author Listing
     with: Bokehi, J.R.: Use of Coherence Measurements between EEG and EMG on Ide...
     with: Conci, A.: Use of Coherence Measurements between EEG and EMG on Identi...

Vasconcelos, C. Standard Author Listing
     with: Lattari, L.: Unsupervised cosegmentation based on global clustering an...
     with: Montenegro, A.: Unsupervised cosegmentation based on global clustering...

Vasconcelos, C.N. Standard Author Listing
     with: Carvalho, P.C.P.: Lloyd's Algorithm on GPU
     with: Carvalho, P.C.P.: Real-Time Video Processing for Multi-Object Chromati...
     with: Gattass, M.: Lloyd's Algorithm on GPU
     with: Gattass, M.: Real-Time Video Processing for Multi-Object Chromatic Tra...
     with: Rosenhahn, B.: Bipartite Graph Matching Computation on GPU
     with: Sa, A.: Lloyd's Algorithm on GPU
     with: Sa, A.: Real-Time Video Processing for Multi-Object Chromatic Tracking
     with: Teixeira, L.P.: Real-Time Video Processing for Multi-Object Chromatic ...
8 for Vasconcelos, C.N.

Vasconcelos, F. Standard Author Listing
     with: Barreto, J.P.: Automatic Camera Calibration Using Multiple Sets of Pai...
     with: Barreto, J.P.: Minimal Solution for Camera Calibration Using Independe...
     with: Barreto, J.P.: Minimal Solution for the Extrinsic Calibration of a Cam...
     with: Boyer, E.: Automatic Camera Calibration Using Multiple Sets of Pairwis...
     with: Boyer, E.: Minimal Solution for Camera Calibration Using Independent P...
     with: Chadebecq, F.: Refractive Structure-from-Motion Through a Flat Refract...
     with: Dwyer, G.: Refractive Structure-from-Motion Through a Flat Refractive ...
     with: Lacher, R.: Refractive Structure-from-Motion Through a Flat Refractive...
     with: Nunes, U.: Minimal Solution for the Extrinsic Calibration of a Camera ...
     with: Ourselin, S.: Refractive Structure-from-Motion Through a Flat Refracti...
     with: Ourselin, S.: Similarity Registration Problems for 2D/3D Ultrasound Ca...
     with: Peebles, D.: Similarity Registration Problems for 2D/3D Ultrasound Cal...
     with: Stoyanov, D.: Refractive Structure-from-Motion Through a Flat Refracti...
     with: Stoyanov, D.: Similarity Registration Problems for 2D/3D Ultrasound Ca...
     with: Vasconcelos, N.M.: Person-following UAVs
     with: Vercauteren, T.: Refractive Structure-from-Motion Through a Flat Refra...
16 for Vasconcelos, F.

Vasconcelos, G.C. Standard Author Listing
     with: Adeodato, P.J.L.: Neural Networks vs. Logistic Regression: A Comparati...
     with: Adeodato, P.J.L.: systematic solution for the NN3 Forecasting Competit...
     with: Arnaud, A.L.: Neural Networks vs. Logistic Regression: A Comparative S...
     with: Arnaud, A.L.: systematic solution for the NN3 Forecasting Competition ...
     with: Cunha, R.C.L.V.: Neural Networks vs. Logistic Regression: A Comparativ...
     with: Cunha, R.C.L.V.: systematic solution for the NN3 Forecasting Competiti...
     with: Guerrero Pena, F.A.: Object recognition under severe occlusions with a...
     with: Monteiro, D.S.M.P.: Neural Networks vs. Logistic Regression: A Compara...
     with: Monteiro, D.S.M.P.: systematic solution for the NN3 Forecasting Compet...
     with: Santos, R.A.F.: Neural Networks vs. Logistic Regression: A Comparative...
10 for Vasconcelos, G.C.

Vasconcelos, L. Standard Author Listing
     with: Costa, E.: new intelligent systems approach to 3D animation in televis...
     with: do Prado, C.B.: new intelligent systems approach to 3D animation in te...
     with: Franca, F.M.G.: new intelligent systems approach to 3D animation in te...

Vasconcelos, L.O. Standard Author Listing
     with: Campos, M.F.M.: KVD: Scale invariant keypoints by combining visual and...
     with: Campos, M.F.M.: Scale Invariant Keypoint Detector Based on Visual and ...
     with: Nascimento, E.R.: KVD: Scale invariant keypoints by combining visual a...
     with: Nascimento, E.R.: Scale Invariant Keypoint Detector Based on Visual an...

Vasconcelos, M. Standard Author Listing
     with: Carneiro, G.: Weakly Supervised Top-down Image Segmentation
     with: Carreiras, J.: Estimating the Above-Ground Biomass in Miombo Savanna W...
     with: Melo, J.: Estimating the Above-Ground Biomass in Miombo Savanna Woodla...
     with: Vasconcelos, N.M.: Natural Image Statistics and Low-Complexity Feature...
     with: Vasconcelos, N.M.: Scalable discriminant feature selection for image r...
     with: Vasconcelos, N.M.: Weakly Supervised Top-down Image Segmentation

Vasconcelos, M.J. Standard Author Listing
     with: Cabral, A.I.R.: Burned area estimations derived from Landsat ETM+ and ...
     with: Silva, P.C.: Burned area estimations derived from Landsat ETM+ and OLI...
     with: Silva, S.: Burned area estimations derived from Landsat ETM+ and OLI d...
     with: Vanneschi, L.: Burned area estimations derived from Landsat ETM+ and O...

Vasconcelos, M.J.M. Standard Author Listing
     with: Ferreira, M.: Principal Axes-Based Asymmetry Assessment Methodology fo...
     with: Rosado, L.: No-reference Blur Assessment of Dermatological Images Acqu...
     with: Rosado, L.: Principal Axes-Based Asymmetry Assessment Methodology for ...

Vasconcelos, N. Standard Author Listing
     with: Bajic, I.V.: How many bits does it take for a stimulus to be salient?
     with: Cai, Z.: Cascade R-CNN: Delving Into High Quality Object Detection
     with: Chen, S.: Scene classification with semantic Fisher vectors
     with: Davis, B.: Geodesic Regression on the Grassmannian
     with: Dixit, M.: Feature Space Transfer for Data Augmentation
     with: Dixit, M.: Scene classification with semantic Fisher vectors
     with: Dixit, M.: Semantic Clustering for Robust Fine-Grained Scene Recognition
     with: DuFaux, F.: Pre and Post-Filtering for Low Bit-Rate Video Coding
     with: Gao, D.: Scene classification with semantic Fisher vectors
     with: George, M.: Semantic Clustering for Robust Fine-Grained Scene Recognit...
     with: Han, S.H.: Image Compression using Object-Based Regions of Interest
     with: Han, Y.: Peak-Piloted Deep Network for Facial Expression Recognition
     with: Hong, Y.: Geodesic Regression on the Grassmannian
     with: Hong, Y.: Parametric Regression on the Grassmannian
     with: Jiang, P.: Generic Promotion of Diffusion-Based Salient Object Detection
     with: Khatoonabadi, S.H.: How many bits does it take for a stimulus to be sa...
     with: Kwitt, R.: Feature Space Transfer for Data Augmentation
     with: Kwitt, R.: Geodesic Regression on the Grassmannian
     with: Kwitt, R.: Parametric Regression on the Grassmannian
     with: Li, T.: Peak-Piloted Deep Network for Facial Expression Recognition
     with: Liang, X.D.: Peak-Piloted Deep Network for Facial Expression Recognition
     with: Liu, B.: Feature Space Transfer for Data Augmentation
     with: Liu, L.: Peak-Piloted Deep Network for Facial Expression Recognition
     with: Lu, S.: Learning Optimal Seeds for Diffusion-Based Salient Object Dete...
     with: Mahadevan, V.: Learning Optimal Seeds for Diffusion-Based Salient Obje...
     with: Niethammer, M.: Geodesic Regression on the Grassmannian
     with: Niethammer, M.: Parametric Regression on the Grassmannian
     with: Peng, J.: Generic Promotion of Diffusion-Based Salient Object Detection
     with: Rasiwasia, N.: Scene classification with semantic Fisher vectors
     with: Shan, Y.: How many bits does it take for a stimulus to be salient?
     with: Singh, N.: Geodesic Regression on the Grassmannian
     with: Singh, N.: Parametric Regression on the Grassmannian
     with: Wang, P.: Towards Realistic Predictors
     with: Wang, X.D.: Feature Space Transfer for Data Augmentation
     with: Yan, S.C.: Peak-Piloted Deep Network for Facial Expression Recognition
     with: Zhao, X.Y.: Peak-Piloted Deep Network for Facial Expression Recognition
     with: Zogg, G.: Semantic Clustering for Robust Fine-Grained Scene Recognition
37 for Vasconcelos, N.

Vasconcelos, N.M. Standard Author Listing
     with: Belongie, S.: Boosted Convolutional Neural Networks
     with: Bhalodia, V.: Anomaly detection in crowded scenes
     with: Cai, Z.: Learning Complexity-Aware Cascades for Deep Pedestrian Detect...
     with: Cai, Z.W.: Deep Learning with Low Precision by Half-Wave Gaussian Quan...
     with: Cai, Z.W.: Robust Deformable and Occluded Object Tracking With Dynamic...
     with: Cai, Z.W.: Unified Multi-scale Deep Convolutional Neural Network for F...
     with: Carneiro, G.: Formulating Semantic Image Annotation as a Supervised Le...
     with: Carneiro, G.: Minimum Bayes error features for visual recognition
     with: Carneiro, G.: Minimum Bayes Error Features for Visual Recognition by S...
     with: Carneiro, G.: Supervised Learning of Semantic Classes for Image Annota...
     with: Carneiro, G.: Weakly Supervised Top-down Image Segmentation
     with: Carneiro, G.: What Is the Role of Independence for Visual Recognition?
     with: Chan, A.B.: Bayesian Poisson regression for crowd counting
     with: Chan, A.B.: Classifying Video with Kernel Dynamic Textures
     with: Chan, A.B.: Counting People With Low-Level Features and Bayesian Regre...
     with: Chan, A.B.: Generalized Stauffer-Grimson background subtraction for dy...
     with: Chan, A.B.: Layered Dynamic Textures
     with: Chan, A.B.: Mixtures of Dynamic Textures
     with: Chan, A.B.: Modeling, Clustering, and Segmenting Video with Mixtures o...
     with: Chan, A.B.: Privacy preserving crowd monitoring: Counting people witho...
     with: Chan, A.B.: Probabilistic Kernels for the Classification of Auto-Regre...
     with: Chan, A.B.: Supervised Learning of Semantic Classes for Image Annotati...
     with: Chan, A.B.: Variational layered dynamic textures
     with: Costa Pereira, J.: Cross-modal domain adaptation for text-based regula...
     with: Costa Pereira, J.: On the regularization of image semantics by modal e...
     with: Costa Pereira, J.: On the Role of Correlation and Abstraction in Cross...
     with: Coviello, E.: On the Role of Correlation and Abstraction in Cross-Moda...
     with: Divakaran, A.: Dynamic Pooling for Complex Event Recognition
     with: Dixit, M.: Adapted Gaussian models for image classification
     with: Dixit, M.: AGA: Attribute-Guided Augmentation
     with: Dixit, M.: Class-Specific Simplex-Latent Dirichlet Allocation for Imag...
     with: Dixit, M.: Deep Scene Image Classification with the MFAFVNet
     with: Doyle, G.: On the Role of Correlation and Abstraction in Cross-Modal M...
     with: Fan, Q.F.: Unified Multi-scale Deep Convolutional Neural Network for F...
     with: Feris, R.S.: Unified Multi-scale Deep Convolutional Neural Network for...
     with: Gao, D.S.: Bottom-up saliency is a discriminant process
     with: Gao, D.S.: Discriminant Interest Points are Stable
     with: Gao, D.S.: Discriminant Saliency, the Detection of Suspicious Coincide...
     with: Gao, D.S.: Experimental Comparison of Three Guiding Principles for the...
     with: Gao, D.S.: Integrated Learning of Saliency, Complex Features, and Obje...
     with: Han, S.H.: Biologically plausible detection of amorphous objects in th...
     with: Han, S.H.: Bottom-up saliency is a discriminant process
     with: Han, S.H.: Complex discriminant features for object classification
     with: Han, S.H.: Discriminant Interest Points are Stable
     with: Han, S.H.: Discriminant Saliency, the Detection of Suspicious Coincide...
     with: He, X.: Deep Learning with Low Precision by Half-Wave Gaussian Quantiz...
     with: Ho, P.: Kullback-Leibler Kernel as a Framework for Discriminant and Lo...
     with: Jacobson, N.: Novel Approach to FRUC Using Discriminant Saliency and F...
     with: Kunt, M.: Content-based Retrieval from Image Databases: Current Soluti...
     with: Kwitt, R.: AGA: Attribute-Guided Augmentation
     with: Kwitt, R.: Scene Recognition on the Semantic Manifold
     with: Lanckriet, G.R.G.: On the Role of Correlation and Abstraction in Cross...
     with: Lee, Y.L.: Novel Approach to FRUC Using Discriminant Saliency and Fram...
     with: Lei, Z.: Robust Deformable and Occluded Object Tracking With Dynamic G...
     with: Levy, R.: On the Role of Correlation and Abstraction in Cross-Modal Mu...
     with: Li, L.J.: Boosted Convolutional Neural Networks
     with: Li, S.Z.: Robust Deformable and Occluded Object Tracking With Dynamic ...
     with: Li, W.X.: Anomaly Detection and Localization in Crowded Scenes
     with: Li, W.X.: Anomaly detection in crowded scenes
     with: Li, W.X.: Complex Activity Recognition Via Attribute Dynamics
     with: Li, W.X.: Dynamic Pooling for Complex Event Recognition
     with: Li, W.X.: Multiple instance learning for soft bags via top instances
     with: Li, W.X.: Recognizing Activities via Bag of Words for Attribute Dynamics
     with: Li, W.X.: VLAD3: Encoding Dynamics of Deep Features for Action Recogni...
     with: Li, Y.: RESOUND: Towards Action Recognition Without Representation Bias
     with: Li, Y.S.: Deep Scene Image Classification with the MFAFVNet
     with: Li, Y.W.: RESOUND: Towards Action Recognition Without Representation B...
     with: Li, Y.W.: VLAD3: Encoding Dynamics of Deep Features for Action Recogni...
     with: Liang, Z.S.J.: Privacy preserving crowd monitoring: Counting people wi...
     with: Lippman, A.: Bayesian Framework for Semantic Content Characterization, A
     with: Lippman, A.: Bayesian modeling of video editing and structure: Semanti...
     with: Lippman, A.: Bayesian relevance feedback for content-based image retri...
     with: Lippman, A.: Bayesian Video Modeling Framework for Shot Segmentation a...
     with: Lippman, A.: Content-Based Pre-Indexed Video
     with: Lippman, A.: Empirical Bayesian EM Based Motion Segmentation
     with: Lippman, A.: Empirical Bayesian Motion Segmentation
     with: Lippman, A.: Frame-free video
     with: Lippman, A.: Learning Over Multiple Temporal Scales in Image Databases
     with: Lippman, A.: Probabilistic Architecture for Content-based Image Retrie...
     with: Lippman, A.: Probabilistic Retrieval: New Insights and Experimental Re...
     with: Lippman, A.: Spatiotemporal model-based optic flow estimation
     with: Lippman, A.: Spatiotemporal Motion Model for Video Summarization, A
     with: Lippman, A.: Statistical Models of Video Structure for Content Analysi...
     with: Lippman, A.: Towards Semantically Meaningful Feature Spaces for the Ch...
     with: Lippman, A.: Unifying View of Image Similarity, A
     with: Liu, B.: Bayesian Model Adaptation for Crowd Counts
     with: Mahadevan, V.: Anomaly Detection and Localization in Crowded Scenes
     with: Mahadevan, V.: Anomaly detection in crowded scenes
     with: Mahadevan, V.: Automatic initialization and tracking using attentional...
     with: Mahadevan, V.: Background subtraction in highly dynamic scenes
     with: Mahadevan, V.: Biologically Inspired Object Tracking Using Center-Surr...
     with: Mahadevan, V.: Generalized Stauffer-Grimson background subtraction for...
     with: Mahadevan, V.: Novel Approach to FRUC Using Discriminant Saliency and ...
     with: Mahadevan, V.: On the design of robust classifiers for computer vision
     with: Mahadevan, V.: Saliency-based discriminant tracking
     with: Mahadevan, V.: Spatiotemporal Saliency in Dynamic Scenes
     with: Mahadevan, V.: VLAD3: Encoding Dynamics of Deep Features for Action Re...
     with: Masnadi Shirazi, H.: Cost-Sensitive Boosting
     with: Masnadi Shirazi, H.: High Detection-rate Cascades for Real-Time Object...
     with: Masnadi Shirazi, H.: On the design of robust classifiers for computer ...
     with: Masnadi Shirazi, H.: TaylorBoost: First and second-order boosting algo...
     with: Moghimi, M.: Boosted Convolutional Neural Networks
     with: Moreno, P.: Kullback-Leibler Kernel as a Framework for Discriminant an...
     with: Moreno, P.J.: Query by Semantic Example
     with: Moreno, P.J.: Supervised Learning of Semantic Classes for Image Annota...
     with: Morgado, P.: Semantically Consistent Regularization for Zero-Shot Reco...
     with: Nguyen, T.Q.: Novel Approach to FRUC Using Discriminant Saliency and F...
     with: Niethammer, M.: AGA: Attribute-Guided Augmentation
     with: Rasiwasia, N.: Adapted Gaussian models for image classification
     with: Rasiwasia, N.: Class-Specific Simplex-Latent Dirichlet Allocation for ...
     with: Rasiwasia, N.: Holistic context modeling using semantic co-occurrences
     with: Rasiwasia, N.: Holistic Context Models for Visual Recognition
     with: Rasiwasia, N.: Latent Dirichlet Allocation Models for Image Classifica...
     with: Rasiwasia, N.: On the Role of Correlation and Abstraction in Cross-Mod...
     with: Rasiwasia, N.: Query by Semantic Example
     with: Rasiwasia, N.: Scene classification with low-dimensional semantic spac...
     with: Rasiwasia, N.: Scene Recognition on the Semantic Manifold
     with: Rasiwasia, N.: study of query by semantic example, A
     with: Rasiwasia, N.: systematic study of the role of context on image classi...
     with: Saberian, M.: Learning Complexity-Aware Cascades for Deep Pedestrian D...
     with: Saberian, M.J.: Boosted Convolutional Neural Networks
     with: Saberian, M.J.: Boosting algorithms for simultaneous feature extractio...
     with: Saberian, M.J.: Learning Optimal Embedded Cascades
     with: Saberian, M.J.: TaylorBoost: First and second-order boosting algorithm...
     with: Sawhney, H.: Recognizing Activities via Bag of Words for Attribute Dyn...
     with: Sun, J.: Deep Learning with Low Precision by Half-Wave Gaussian Quanti...
     with: Vasconcelos, F.: Person-following UAVs
     with: Vasconcelos, M.: Natural Image Statistics and Low-Complexity Feature S...
     with: Vasconcelos, M.: Scalable discriminant feature selection for image ret...
     with: Vasconcelos, M.: Weakly Supervised Top-down Image Segmentation
     with: Wen, L.Y.: Robust Deformable and Occluded Object Tracking With Dynamic...
     with: Xu, C.: Learning Receptive Fields for Pooling from Tensors of Feature ...
     with: Yang, J.: Boosted Convolutional Neural Networks
     with: Yu, Q.: Dynamic Pooling for Complex Event Recognition
     with: Yu, Q.: Recognizing Activities via Bag of Words for Attribute Dynamics
135 for Vasconcelos, N.M.

Vasconcelos, R.M. Standard Author Listing
     with: Belsley, M.S.: Determination of yarn production characteristics using ...
     with: Carvalho, V.H.: Determination of yarn production characteristics using...
     with: Soares, F.O.: Determination of yarn production characteristics using i...

Index for "v"


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