Nuno Vasconcelos

Orcid: 0000-0002-9024-4302

Affiliations:
  • University of California San Diego, La Jolla, CA, USA
  • Massachusetts Institute of Technology, Cambridge, MA, USA (PhD 2000)


According to our database1, Nuno Vasconcelos authored at least 242 papers between 1994 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2017, "For contributions to computer vision, image processing, and multimedia".

Timeline

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Bibliography

2024
Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis.
CoRR, 2024

Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models.
CoRR, 2024

Fairness and Bias Mitigation in Computer Vision: A Survey.
CoRR, 2024

Ego-VPA: Egocentric Video Understanding with Parameter-efficient Adaptation.
CoRR, 2024

Adapting Dual-encoder Vision-language Models for Paraphrased Retrieval.
CoRR, 2024

Diffusion-based Data Augmentation for Object Counting Problems.
CoRR, 2024

Editable Image Elements for Controllable Synthesis.
Proceedings of the Computer Vision - ECCV 2024, 2024

Improving Image Synthesis with Diffusion-Negative Sampling.
Proceedings of the Computer Vision - ECCV 2024, 2024

Learning a Dynamic Privacy-Preserving Camera Robust to Inversion Attacks.
Proceedings of the Computer Vision - ECCV 2024, 2024

ProTeCt: Prompt Tuning for Taxonomic Open Set Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Long-Tailed Anomaly Detection with Learnable Class Names.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Calibrated Multi-Label Deep Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
A Generalized Explanation Framework for Visualization of Deep Learning Model Predictions.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

SCHEME: Scalable Channer Mixer for Vision Transformers.
CoRR, 2023

POP: Prompt Of Prompts for Continual Learning.
CoRR, 2023

ProTeCt: Prompt Tuning for Hierarchical Consistency.
CoRR, 2023

Taxonomic Class Incremental Learning.
CoRR, 2023

ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Toward Unsupervised Realistic Visual Question Answering.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Tire defect detection with limited annotation.
Proceedings of the Intelligent Robotics and Industrial Applications using Computer Vision 2021, 2023

Towards Professional Level Crowd Annotation of Expert Domain Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SViTT: Temporal Learning of Sparse Video-Text Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Dense Network Expansion for Class Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Should All Proposals be Treated Equally in Object Detection?
CoRR, 2022

DISCO: Adversarial Defense with Local Implicit Functions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Single-Stage Visual Relationship Learning using Conditional Queries.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Meta-learning over time for destination prediction tasks.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition.
Proceedings of the Computer Vision, 2022

Should All Proposals Be Treated Equally in Object Detection?
Proceedings of the Computer Vision - ECCV 2022, 2022

YORO - Lightweight End to End Visual Grounding.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Class-Incremental Learning with Strong Pre-trained Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Omni-DETR: Omni-Supervised Object Detection with Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Improving Video Model Transfer with Dynamic Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

VALHALLA: Visual Hallucination for Machine Translation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Calibrating Deep Neural Networks by Pairwise Constraints.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Cascade R-CNN: High Quality Object Detection and Instance Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings.
Int. J. Comput. Vis., 2021

OOWL500: Overcoming Dataset Collection Bias in the Wild.
CoRR, 2021

Semi-supervised Long-tailed Recognition using Alternate Sampling.
CoRR, 2021

Sparse Pose Trajectory Completion.
CoRR, 2021

Revisiting Dynamic Convolution via Matrix Decomposition.
Proceedings of the 9th International Conference on Learning Representations, 2021

A Machine Teaching Framework for Scalable Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MicroNet: Improving Image Recognition with Extremely Low FLOPs.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning of Visual Relations: The Devil is in the Tails.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Gradient-Based Algorithms for Machine Teaching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Rethinking and Improving the Robustness of Image Style Transfer.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

IMAGINE: Image Synthesis by Image-Guided Model Inversion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Dynamic Transfer for Multi-Source Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Audio-Visual Instance Discrimination with Cross-Modal Agreement.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Robust Audio-Visual Instance Discrimination.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Robust Deep Sensing Through Transfer Learning in Cognitive Radio.
IEEE Wirel. Commun. Lett., 2020

Super Diffusion for Salient Object Detection.
IEEE Trans. Image Process., 2020

Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Learning Complexity-Aware Cascades for Pedestrian Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

MicroNet: Towards Image Recognition with Extremely Low FLOPs.
CoRR, 2020

Learning Representations from Audio-Visual Spatial Alignment.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Contrastive Learning with Adversarial Examples.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Solving Long-Tailed Recognition with Deep Realistic Taxonomic Classifier.
Proceedings of the Computer Vision - ECCV 2020, 2020

SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Explainable Object-Induced Action Decision for Autonomous Vehicles.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

SCOUT: Self-Aware Discriminant Counterfactual Explanations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Few-Shot Open-Set Recognition Using Meta-Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Background Data Resampling for Outlier-Aware Classification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Rethinking Differentiable Search for Mixed-Precision Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Multiclass Boosting: Margins, Codewords, Losses, and Algorithms.
J. Mach. Learn. Res., 2019

Cost-sensitive support vector machines.
Neurocomputing, 2019

Efficient Multi-Domain Network Learning by Covariance Normalization.
CoRR, 2019

Deliberative Explanations: visualizing network insecurities.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Volumetric Attention for 3D Medical Image Segmentation and Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

NetTailor: Tuning the Architecture, Not Just the Weights.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Bidirectional Learning for Domain Adaptation of Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

REPAIR: Removing Representation Bias by Dataset Resampling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Efficient Multi-Domain Learning by Covariance Normalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

PIEs: Pose Invariant Embeddings.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Towards Universal Object Detection by Domain Attention.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Super Diffusion for Salient Object Detection.
CoRR, 2018

Feature Space Transfer for Data Augmentation.
CoRR, 2018

Self-Supervised Generation of Spatial Audio for 360° Video.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Towards Realistic Predictors.
Proceedings of the Computer Vision - ECCV 2018, 2018

RESOUND: Towards Action Recognition Without Representation Bias.
Proceedings of the Computer Vision - ECCV 2018, 2018

Feature Space Transfer for Data Augmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Cascade R-CNN: Delving Into High Quality Object Detection.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Complex Activity Recognition Via Attribute Dynamics.
Int. J. Comput. Vis., 2017

Deep Scene Image Classification with the MFAFVNet.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Semantically Consistent Regularization for Zero-Shot Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

AGA: Attribute-Guided Augmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Deep Learning with Low Precision by Half-Wave Gaussian Quantization.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Guest Editorial Special Section on Visual Saliency Computing and Learning.
IEEE Trans. Neural Networks Learn. Syst., 2016

Parametric Regression on the Grassmannian.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Peak-Piloted Deep Network for Facial Expression Recognition.
CoRR, 2016

Person-following UAVs.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Large Margin Discriminant Dimensionality Reduction in Prediction Space.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Object based Scene Representations using Fisher Scores of Local Subspace Projections.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Pedestrian detection aided by temporal prior.
Proceedings of the International SoC Design Conference, 2016

Peak-Piloted Deep Network for Facial Expression Recognition.
Proceedings of the Computer Vision - ECCV 2016, 2016

Semantic Clustering for Robust Fine-Grained Scene Recognition.
Proceedings of the Computer Vision - ECCV 2016, 2016

A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection.
Proceedings of the Computer Vision - ECCV 2016, 2016

VLAD3: Encoding Dynamics of Deep Features for Action Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Boosted Convolutional Neural Networks.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
A view of margin losses as regularizers of probability estimates.
J. Mach. Learn. Res., 2015

Bayesian Model Adaptation for Crowd Counts.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Generic Promotion of Diffusion-Based Salient Object Detection.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning Complexity-Aware Cascades for Deep Pedestrian Detection.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Multiple instance learning for soft bags via top instances.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

How many bits does it take for a stimulus to be salient?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Scene classification with semantic Fisher vectors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Robust Deformable and Occluded Object Tracking With Dynamic Graph.
IEEE Trans. Image Process., 2014

On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Anomaly Detection and Localization in Crowded Scenes.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Boosting algorithms for detector cascade learning.
J. Mach. Learn. Res., 2014

Object recognition with hierarchical discriminant saliency networks.
Frontiers Comput. Neurosci., 2014

Cross-modal domain adaptation for text-based regularization of image semantics in image retrieval systems.
Comput. Vis. Image Underst., 2014

Multi-Resolution Cascades for Multiclass Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting.
Proceedings of the 31th International Conference on Machine Learning, 2014

Geodesic Regression on the Grassmannian.
Proceedings of the Computer Vision - ECCV 2014, 2014

Learning Receptive Fields for Pooling from Tensors of Feature Response.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Learning Optimal Seeds for Diffusion-Based Salient Object Detection.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Latent Dirichlet Allocation Models for Image Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Biologically Inspired Object Tracking Using Center-Surround Saliency Mechanisms.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Localizing target structures in ultrasound video - A phantom study.
Medical Image Anal., 2013

Dynamic Pooling for Complex Event Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Recognizing Activities via Bag of Words for Attribute Dynamics.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Surveillance of Crowded Environments: Modeling the Crowd by Its Global Properties.
Proceedings of the Modeling, Simulation and Visual Analysis of Crowds, 2013

2012
Counting People With Low-Level Features and Bayesian Regression.
IEEE Trans. Image Process., 2012

Learning Optimal Embedded Cascades.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Holistic Context Models for Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Endoscopic image analysis in semantic space.
Medical Image Anal., 2012

Minimum Probability of Error Image Retrieval: From Visual Features to Image Semantics.
Found. Trends Signal Process., 2012

On the connections between saliency and tracking.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Recognizing Activities by Attribute Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Recognition in Ultrasound Videos: Where Am I?
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Scene Recognition on the Semantic Manifold.
Proceedings of the Computer Vision - ECCV 2012, 2012

Boosting algorithms for simultaneous feature extraction and selection.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

On the regularization of image semantics by modal expansion.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Cost-Sensitive Boosting.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Generalized Stauffer-Grimson background subtraction for dynamic scenes.
Mach. Vis. Appl., 2011

Multiclass Boosting: Theory and Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Maximum Covariance Unfolding : Manifold Learning for Bimodal Data.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Learning Pit Pattern Concepts for Gastroenterological Training.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

TaylorBoost: First and second-order boosting algorithms with explicit margin control.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Automatic initialization and tracking using attentional mechanisms.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

Biologically plausible detection of amorphous objects in the wild.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

Adapted Gaussian models for image classification.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
A Novel Approach to FRUC Using Discriminant Saliency and Frame Segmentation.
IEEE Trans. Image Process., 2010

Spatiotemporal Saliency in Dynamic Scenes.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Boosting Classifier Cascades.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A biologically plausible network for the computation of orientation dominance.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Variable margin losses for classifier design.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A new approach to cross-modal multimedia retrieval.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Risk minimization, probability elicitation, and cost-sensitive SVMs.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Motion vector refinement for FRUC using saliency and segmentation.
Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, 2010

On the design of robust classifiers for computer vision.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Anomaly detection in crowded scenes.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Natural Image Statistics and Low-Complexity Feature Selection.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Layered Dynamic Textures.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Decision-Theoretic Saliency: Computational Principles, Biological Plausibility, and Implications for Neurophysiology and Psychophysics.
Neural Comput., 2009

Minimum Bayes error features for visual recognition.
Image Vis. Comput., 2009

Bayesian Poisson regression for crowd counting.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Holistic context modeling using semantic co-occurrences.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Saliency-based discriminant tracking.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Variational layered dynamic textures.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

From Pixels to Semantic Spaces: Advances in Content-Based Image Retrieval.
Computer, 2008

On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Image retrieval using query by contextual example.
Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

A systematic study of the role of context on image classification.
Proceedings of the International Conference on Image Processing, 2008

Complex discriminant features for object classification.
Proceedings of the International Conference on Image Processing, 2008

Object-Based Regions of Interest for Image Compression.
Proceedings of the 2008 Data Compression Conference (DCC 2008), 2008

A study of query by semantic example.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

Scene classification with low-dimensional semantic spaces and weak supervision.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Background subtraction in highly dynamic scenes.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Privacy preserving crowd monitoring: Counting people without people models or tracking.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Bridging the Gap: Query by Semantic Example.
IEEE Trans. Multim., 2007

Supervised Learning of Semantic Classes for Image Annotation and Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

An Experimental Comparison of Three Guiding Principles for the Detection of Salient Image Locations: Stability, Complexity, and Discrimination.
Proceedings of the Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint, 2007

The discriminant center-surround hypothesis for bottom-up saliency.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Asymmetric boosting.
Proceedings of the Machine Learning, 2007

Direct convex relaxations of sparse SVM.
Proceedings of the Machine Learning, 2007

High Detection-rate Cascades for Real-Time Object Detection.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Bottom-up saliency is a discriminant process.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Discriminant Interest Points are Stable.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Classifying Video with Kernel Dynamic Textures.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Image Compression using Object-Based Regions of Interest.
Proceedings of the International Conference on Image Processing, 2006

Single Image Superresolution Based on Support Vector Regression.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Weakly Supervised Top-down Image Segmentation.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Query by Semantic Example.
Proceedings of the Image and Video Retrieval, 5th International Conference, 2006

2005
A multiresolution manifold distance for invariant image similarity.
IEEE Trans. Multim., 2005

Content-Based Image and Video Retrieval.
Signal Process., 2005

A database centric view of semantic image annotation and retrieval.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Mixtures of Dynamic Textures.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Integrated Learning of Saliency, Complex Features, and Object Detectors from Cluttered Scenes.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Formulating Semantic Image Annotation as a Supervised Learning Problem.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction.
Proceedings of the Second Canadian Conference on Computer and Robot Vision (CRV 2005), 2005

2004
Minimum probability of error image retrieval.
IEEE Trans. Signal Process., 2004

On the efficient evaluation of probabilistic similarity functions for image retrieval.
IEEE Trans. Inf. Theory, 2004

Discriminant Saliency for Visual Recognition from Cluttered Scenes.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

The Kullback-Leibler Kernel as a Framework for Discriminant and Localized Representations for Visual Recognition.
Proceedings of the Computer Vision, 2004

Scalable Discriminant Feature Selection for Image Retrieval and Recognition.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

A family of information-theoretic algorithms for low-complexity discriminant feature selection in image retrieval.
Proceedings of the 2003 International Conference on Image Processing, 2003

Feature Selection by Maximum Marginal Diversity: optimality and implications for visual recognition.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002
Feature Selection by Maximum Marginal Diversity.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Exploiting group structure to improve retrieval accuracy and speed in image databases.
Proceedings of the 2002 International Conference on Image Processing, 2002

What Is the Role of Independence for Visual Recognition?
Proceedings of the Computer Vision, 2002

2001
Empirical Bayesian Motion Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2001

Content-based retrieval from image databases: current solutions and future directions.
Proceedings of the 2001 International Conference on Image Processing, 2001

On the Complexity of Probabilistic Image Retrieval.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Image Indexing with Mixture Hierarchies.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000
Statistical models of video structure for content analysis and characterization.
IEEE Trans. Image Process., 2000

Bayesian representations and learning mechanisms for content-based image retrieval.
Proceedings of the Storage and Retrieval for Media Databases 2000, 2000

Bayesian Video Shot Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

A Unifying View of Image Similarity.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Feature Representations for Image Retrieval: Beyond the Color Histogram.
Proceedings of the 2000 IEEE International Conference on Multimedia and Expo, 2000

Learning Over Multiple Temporal Scales in Image Databases.
Proceedings of the Computer Vision - ECCV 2000, 6th European Conference on Computer Vision, Dublin, Ireland, June 26, 2000

A Probabilistic Architecture for Content-Based Image Retrieval.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999
Learning from User Feedback in Image Retrieval Systems.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998
Learning Mixture Hierarchies.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Bayesian Modeling of Video Editing and Structure: Semantic Features for Video Summarization and Browsing.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

A Bayesian Framework for Content-Based Indexing and Retrieval.
Proceedings of the Data Compression Conference, 1998

A Bayesian Framework for Semantic Content Characterization.
Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

A Spatiotemporal Motion Model for Video Summarization.
Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

1997
Multiresolution Tangent Distance for Affine-invariant Classification.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Content-Based Pre-Indexed Video.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Towards Semantically Meaningful Feature Spaces for the Characterization of Video Content.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Pre and Post-Filtering for Low Bit-Rate Video Coding.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Library-based Coding: a Representation for Efficient Video Compression and Retrieval.
Proceedings of the 7th Data Compression Conference (DCC '97), 1997

Empirical Bayesian EM-based Motion Segmentation.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1996
Frame-free video.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1995
Spatiotemporal model-based optic flow estimation.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

1994
Library-based image coding.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994


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