List of works - Nuno M Vasconcelos

A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications ⬇️

scientific article published in January 2004

A biologically plausible network for the computation of orientation dominance ⬇️

A novel approach to FRUC using discriminant saliency and frame segmentation

scientific article published on 20 May 2010

Anomaly detection and localization in crowded scenes.

scientific article published in January 2014

Automated Ecological Assessment of Physical Activity: Advancing Direct Observation.

scientific article published in December 2017

Automated High-Frequency Observations of Physical Activity using Computer Vision

scientific article published on 13 March 2020

Bayesian Video Shot Segmentation ⬇️

Benchmarking and Automating the Image Recognition Capability of an In Situ Plankton Imaging System

scientific article published in 2022

Biologically Inspired Object Tracking Using Center-Surround Saliency Mechanisms.

scientific article published on 19 April 2012

Biologically plausible saliency mechanisms improve feedforward object recognition

scientific article

Boosting Classifier Cascades ⬇️

Cascade R-CNN: High Quality Object Detection and Instance Segmentation

scientific article published on 28 November 2019

Cost-sensitive boosting

scientific article published in February 2011

Counting people with low-level features and Bayesian regression.

scientific article published on 19 October 2011

Decision-theoretic saliency: computational principles, biological plausibility, and implications for neurophysiology and psychophysics

scientific article

Discriminant Saliency for Visual Recognition from Cluttered Scenes ⬇️

scientific article published in January 2005

Discriminant saliency, the detection of suspicious coincidences, and applications to visual recognition

scientific article published in June 2009

Feature Selection by Maximum Marginal Diversity ⬇️

scientific article published in January 2003

Fluoroscopic tumor tracking for image-guided lung cancer radiotherapy

scientific article published on 16 January 2009

Holistic context models for visual recognition

scientific article published on May 2012

Latent Dirichlet allocation models for image classification

scientific article

Layered Dynamic Textures ⬇️

scientific article published in January 2006

Layered dynamic textures

scientific article

Learning Complexity-Aware Cascades for Pedestrian Detection

scientific article published on 11 April 2019

Learning Mixture Hierarchies ⬇️

Learning from User Feedback in Image Retrieval Systems ⬇️

Learning optimal embedded cascades.

scientific article published in October 2012

Learning pit pattern concepts for gastroenterological training

scientific article published on 01 January 2011

Maximum Covariance Unfolding : Manifold Learning for Bimodal Data ⬇️

scientific article published in January 2011

Modeling, clustering, and segmenting video with mixtures of dynamic textures.

scientific article

Multi-Resolution Cascades for Multiclass Object Detection ⬇️

scientific article published in January 2014

Multiclass Boosting: Theory and Algorithms ⬇️

scientific article published in January 2011

Multiresolution Tangent Distance for Affine-invariant Classification ⬇️

Natural image statistics and low-complexity feature selection

scientific article published in February 2009

Object based Scene Representations using Fisher Scores of Local Subspace Projections ⬇️

scientific article published in January 2016

Object recognition with hierarchical discriminant saliency networks

scientific article published on 9 September 2014

On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost ⬇️

On the connections between saliency and tracking ⬇️

scientific article published in January 2012

On the plausibility of the discriminant center-surround hypothesis for visual saliency

scientific article published on 13 June 2008

On the role of correlation and abstraction in cross-modal multimedia retrieval

scientific article published on March 2014

Parametric Regression on the Grassmannian

scientific article published on 12 January 2016

Recognition in ultrasound videos: where am I?

scientific article published on 01 January 2012

Recognizing Activities by Attribute Dynamics ⬇️

scientific article published in January 2012

Robust deformable and occluded object tracking with dynamic graph

scientific article published in December 2014

Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes

scientific article published on 10 June 2019

Spatiotemporal saliency in dynamic scenes

scientific article published in January 2010

Statistical models of video structure for content analysis and characterization

scientific article

Super Diffusion for Salient Object Detection

scientific article published on 25 November 2019

Supervised learning of semantic classes for image annotation and retrieval

scientific article published on March 2007

List of works by Nuno M Vasconcelos

A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications ⬇️

A biologically plausible network for the computation of orientation dominance ⬇️

A novel approach to FRUC using discriminant saliency and frame segmentation

Anomaly detection and localization in crowded scenes.

Automated Ecological Assessment of Physical Activity: Advancing Direct Observation.

Automated High-Frequency Observations of Physical Activity using Computer Vision

Bayesian Video Shot Segmentation ⬇️

Benchmarking and Automating the Image Recognition Capability of an In Situ Plankton Imaging System

Biologically Inspired Object Tracking Using Center-Surround Saliency Mechanisms.

Biologically plausible saliency mechanisms improve feedforward object recognition

Boosting Classifier Cascades ⬇️

Cascade R-CNN: High Quality Object Detection and Instance Segmentation

Cost-sensitive boosting

Counting people with low-level features and Bayesian regression.

Decision-theoretic saliency: computational principles, biological plausibility, and implications for neurophysiology and psychophysics

Discriminant Saliency for Visual Recognition from Cluttered Scenes ⬇️

Discriminant saliency, the detection of suspicious coincidences, and applications to visual recognition

Feature Selection by Maximum Marginal Diversity ⬇️

Fluoroscopic tumor tracking for image-guided lung cancer radiotherapy

Holistic context models for visual recognition

Latent Dirichlet allocation models for image classification

Layered Dynamic Textures ⬇️

Layered dynamic textures

Learning Complexity-Aware Cascades for Pedestrian Detection

Learning Mixture Hierarchies ⬇️

Learning from User Feedback in Image Retrieval Systems ⬇️

Learning optimal embedded cascades.

Learning pit pattern concepts for gastroenterological training

Maximum Covariance Unfolding : Manifold Learning for Bimodal Data ⬇️

Modeling, clustering, and segmenting video with mixtures of dynamic textures.

Multi-Resolution Cascades for Multiclass Object Detection ⬇️

Multiclass Boosting: Theory and Algorithms ⬇️

Multiresolution Tangent Distance for Affine-invariant Classification ⬇️

Natural image statistics and low-complexity feature selection

Object based Scene Representations using Fisher Scores of Local Subspace Projections ⬇️

Object recognition with hierarchical discriminant saliency networks

On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost ⬇️

On the connections between saliency and tracking ⬇️

On the plausibility of the discriminant center-surround hypothesis for visual saliency

On the role of correlation and abstraction in cross-modal multimedia retrieval

Parametric Regression on the Grassmannian

Recognition in ultrasound videos: where am I?

Recognizing Activities by Attribute Dynamics ⬇️

Robust deformable and occluded object tracking with dynamic graph

Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes

Spatiotemporal saliency in dynamic scenes

Statistical models of video structure for content analysis and characterization

Super Diffusion for Salient Object Detection

Supervised learning of semantic classes for image annotation and retrieval

The discriminant center-surround hypothesis for bottom-up saliency ⬇️

Variable margin losses for classifier design ⬇️