Nuno Vasconcelos

发表

The design of end-to-end optimal image retrieval systems

Nuno Vasconcelos, 2003 .

Nuno Vasconcelos, Kenneth Kreutz-Delgado, 2011 .

Learning Receptive Fields for Pooling from Tensors of Feature Response

Nuno Vasconcelos, Can Xu, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Weakly Supervised Top-down Image Segmentation

Gustavo Carneiro, Nuno Vasconcelos, Manuela Vasconcelos, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Learning Representations from Audio-Visual Spatial Alignment pdf

Yi Li, Nuno Vasconcelos, Pedro Morgado, 2020, NeurIPS.

Towards Universal Object Detection by Domain Attention

Nuno Vasconcelos, Zhaowei Cai, Xudong Wang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Feature selection by maximum marginal diversity: optimality and implications for visual recognition

Nuno Vasconcelos, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

RESOUND: Towards Action Recognition Without Representation Bias

Yi Li, Nuno Vasconcelos, Yingwei Li, 2018, ECCV.

Multi-Resolution Cascades for Multiclass Object Detection

Nuno Vasconcelos, Mohammad J. Saberian, N. Vasconcelos, 2014, NIPS.

Volumetric Attention for 3D Medical Image Segmentation and Detection

Nuno Vasconcelos, Xudong Wang, Shizhong Han, 2019, MICCAI.

Motion vector refinement for FRUC using saliency and segmentation

Truong Q. Nguyen, Nuno Vasconcelos, Natan Jacobson, 2010, 2010 IEEE International Conference on Multimedia and Expo.

REPAIR: Removing Representation Bias by Dataset Resampling

Yi Li, Nuno Vasconcelos, N. Vasconcelos, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Recognition in Ultrasound Videos: Where Am I?

Sharif Razzaque, Nuno Vasconcelos, Stephen R. Aylward, 2012, MICCAI.

Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks

Nuno Vasconcelos, Brandon Leung, Chih-Hui Ho, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Formulating semantic image annotation as a supervised learning problem

Gustavo Carneiro, Nuno Vasconcelos, N. Vasconcelos, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Privacy preserving crowd monitoring: Counting people without people models or tracking

Nuno Vasconcelos, Antoni B. Chan, Zhang-Sheng John Liang, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection

Bo Liu, Nuno Vasconcelos, Linjun Li, 2020, ECCV.

A decision-theoretic saliency, its biological plausibility and implications for pre-attentive vision

Nuno Vasconcelos, Dashan Gao, 2010 .

Learning from User Feedback in Image Retrieval Systems

Nuno Vasconcelos, Andrew Lippman, N. Vasconcelos, 1999, NIPS.

On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval

Roger Levy, Nuno Vasconcelos, Gert R. G. Lanckriet, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning Optimal Embedded Cascades

Nuno Vasconcelos, Mohammad J. Saberian, N. Vasconcelos, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Saliency-based discriminant tracking

Nuno Vasconcelos, Vijay Mahadevan, N. Vasconcelos, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

On the connections between saliency and tracking

Nuno Vasconcelos, Vijay Mahadevan, 2012, NIPS.

Scalable discriminant feature selection for image retrieval and recognition

Nuno Vasconcelos, M. Vasconcelos, 2004, CVPR 2004.

A discriminant hypothesis for visual saliency: computational principles, biological plausibility and applications in computer vision

Nuno Vasconcelos, Dashan Gao, N. Vasconcelos, 2008 .

Biologically Inspired Object Tracking Using Center-Surround Saliency Mechanisms

Nuno Vasconcelos, Vijay Mahadevan, N. Vasconcelos, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Maximum Covariance Unfolding : Manifold Learning for Bimodal Data

Nuno Vasconcelos, Lawrence K. Saul, Chi Wah Wong, 2011, NIPS.

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

Nuno Vasconcelos, Zhaowei Cai, N. Vasconcelos, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Nuno Vasconcelos, Yunsheng Li, Mandar Dixit, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

What Is the Role of Independence for Visual Recognition?

Gustavo Carneiro, Nuno Vasconcelos, N. Vasconcelos, 2002, ECCV.

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

Nuno Vasconcelos, Dashan Gao, Vijay Mahadevan, 2008, Journal of vision.

A probabilistic architecture for content-based image retrieval

Nuno Vasconcelos, Andrew Lippman, N. Vasconcelos, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

MicroNet: Towards Image Recognition with Extremely Low FLOPs pdf

Lu Yuan, Zicheng Liu, Nuno Vasconcelos, 2020, ArXiv.

A database centric view of semantic image annotation and retrieval

Gustavo Carneiro, Nuno Vasconcelos, N. Vasconcelos, 2005, SIGIR '05.

Query by Semantic Example

Nuno Vasconcelos, Nikhil Rasiwasia, Pedro J. Moreno, 2006, CIVR.

Generalized Stauffer–Grimson background subtraction for dynamic scenes

Nuno Vasconcelos, Antoni B. Chan, Vijay Mahadevan, 2011, Machine Vision and Applications.

Towards Realistic Predictors

Nuno Vasconcelos, Pei Wang, Pei Wang, 2018, ECCV.

Derivations for the Layered Dynamic Texture and Temporally-Switching Layered Dynamic Texture

Nuno Vasconcelos, Antoni B. Chan, 2009 .

Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier pdf

Nuno Vasconcelos, Pei Wang, Pedro Morgado, 2020, ECCV.

Bidirectional Learning for Domain Adaptation of Semantic Segmentation

Nuno Vasconcelos, Yunsheng Li, Lu Yuan, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Discriminant Interest Points are Stable

Nuno Vasconcelos, Dashan Gao, N. Vasconcelos, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Bayesian modeling of video editing and structure: semantic features for video summarization and browsing

Nuno Vasconcelos, Andrew Lippman, N. Vasconcelos, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Direct convex relaxations of sparse SVM

Nuno Vasconcelos, Antoni B. Chan, Gert R. G. Lanckriet, 2007, ICML '07.

Exploiting group structure to improve retrieval accuracy and speed in image databases

Nuno Vasconcelos, 2002, Proceedings. International Conference on Image Processing.

Fluoroscopic tumor tracking for image-guided lung cancer radiotherapy

Steve B. Jiang, Nuno Vasconcelos, Steve B Jiang, 2009, Physics in medicine and biology.

Automatic initialization and tracking using attentional mechanisms

Nuno Vasconcelos, Vijay Mahadevan, N. Vasconcelos, 2011, CVPR 2011 WORKSHOPS.

Dynamic Pooling for Complex Event Recognition

Nuno Vasconcelos, Ajay Divakaran, Qian Yu, 2013, 2013 IEEE International Conference on Computer Vision.

Pedestrian detection aided by temporal prior

Nuno Vasconcelos, Zhaowei Cai, Matthew Jacobsen, 2016, 2016 International SoC Design Conference (ISOCC).

Large Margin Discriminant Dimensionality Reduction in Prediction Space

Nuno Vasconcelos, Can Xu, Mohammad J. Saberian, 2016, NIPS.

Content-based retrieval from image databases: current solutions and future directions

Murat Kunt, Nuno Vasconcelos, M. Kunt, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Classifying Video with Kernel Dynamic Textures

Nuno Vasconcelos, Antoni B. Chan, N. Vasconcelos, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Explainable Object-Induced Action Decision for Autonomous Vehicles

Nuno Vasconcelos, Yunsheng Li, Tz-Ying Wu, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Latent Dirichlet Allocation Models for Image Classification

Nuno Vasconcelos, Nikhil Rasiwasia, N. Vasconcelos, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques

Steve B. Jiang, Nuno Vasconcelos, Xiaoli Tang, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

On the efficient evaluation of probabilistic similarity functions for image retrieval

Nuno Vasconcelos, N. Vasconcelos, 2004, IEEE Transactions on Information Theory.

Deep Learning with Low Precision by Half-Wave Gaussian Quantization

Jian Sun, Nuno Vasconcelos, Zhaowei Cai, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Surveillance of Crowded Environments: Modeling the Crowd by Its Global Properties

Nuno Vasconcelos, Antoni B. Chan, N. Vasconcelos, 2013, Modeling, Simulation and Visual Analysis of Crowds.

Generic Promotion of Diffusion-Based Salient Object Detection

Peng Jiang, Nuno Vasconcelos, Jingliang Peng, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Anomaly Detection and Localization in Crowded Scenes

Nuno Vasconcelos, Weixin Li, Vijay Mahadevan, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Endoscopic image analysis in semantic space

Nuno Vasconcelos, Andreas Uhl, Roland Kwitt, 2012, Medical Image Anal..

Report on Digital Video Transmission Activities at INESC-NORTE

Nuno Vasconcelos, A. Pimenta Alves, Manuela S. Pereira, 1991 .

Efficient Multi-Domain Network Learning by Covariance Normalization pdf

Nuno Vasconcelos, Yunsheng Li, 2019, ArXiv.

Bayesian Video Shot Segmentation

Nuno Vasconcelos, Andrew Lippman, 2000, NIPS.

Robust Deformable and Occluded Object Tracking With Dynamic Graph

Nuno Vasconcelos, Stan Z. Li, Zhen Lei, 2014, IEEE Transactions on Image Processing.

Holistic context modeling using semantic co-occurrences

Nuno Vasconcelos, Nikhil Rasiwasia, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

The Kullback-Leibler Kernel as a Framework for Discriminant and Localized Representations for Visual Recognition

Nuno Vasconcelos, Pedro J. Moreno, Purdy Ho, 2004, ECCV.

Robust Deep Sensing Through Transfer Learning in Cognitive Radio

Laurence B. Milstein, Pamela C. Cosman, Nuno Vasconcelos, 2019, IEEE Wireless Communications Letters.

A spatiotemporal motion model for video summarization

Nuno Vasconcelos, Andrew Lippman, N. Vasconcelos, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

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

Nuno Vasconcelos, Hamed Masnadi-Shirazi, N. Vasconcelos, 2008, NIPS.

A systematic study of the role of context on image classification

Nuno Vasconcelos, Nikhil Rasiwasia, 2008, 2008 15th IEEE International Conference on Image Processing.

Image retrieval using query by contextual example

Nuno Vasconcelos, Nikhil Rasiwasia, 2008, MIR '08.

Contrastive Learning with Adversarial Examples pdf

Nuno Vasconcelos, Chih-Hui Ho, N. Vasconcelos, 2020, NeurIPS.

Image Compression using Object-Based Regions of Interest

Nuno Vasconcelos, Sunhyoung Han, 2006, 2006 International Conference on Image Processing.

Boosting Classifier Cascades

Nuno Vasconcelos, Mohammad J. Saberian, 2010, NIPS.

Semantically Consistent Regularization for Zero-Shot Recognition

Nuno Vasconcelos, Pedro Morgado, N. Vasconcelos, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Over Multiple Temporal Scales in Image Databases

Nuno Vasconcelos, Andrew Lippman, 2000, ECCV.

Holistic context modeling using semantic co-occurrences

Nuno Vasconcelos, Nikhil Rasiwasia, 2009, CVPR.

Variable margin losses for classifier design

Nuno Vasconcelos, Hamed Masnadi-Shirazi, 2010, NIPS.

Minimum Probability of Error Image Retrieval: From Visual Features to Image Semantics

Nuno Vasconcelos, Manuela Vasconcelos, N. Vasconcelos, 2012, Found. Trends Signal Process..

Background subtraction in highly dynamic scenes

Nuno Vasconcelos, Vijay Mahadevan, N. Vasconcelos, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Using Statistics to Search and Annotate Pictures: an Evaluation of Semantic Image Annotation and Retrieval on Large Databases

Nuno Vasconcelos, Antoni B. Chan, Pedro J. Moreno, 2006 .

Mixtures of dynamic textures

Nuno Vasconcelos, Antoni B. Chan, N. Vasconcelos, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Efficient Multi-Domain Learning by Covariance Normalization

Nuno Vasconcelos, Yunsheng Li, N. Vasconcelos, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

NetTailor: Tuning the Architecture, Not Just the Weights

Nuno Vasconcelos, Pedro Morgado, N. Vasconcelos, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Spatiotemporal Saliency in Dynamic Scenes

Nuno Vasconcelos, Vijay Mahadevan, N. Vasconcelos, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Supervised Learning of Semantic Classes for Image Annotation and Retrieval

Gustavo Carneiro, Nuno Vasconcelos, Antoni B. Chan, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Some relationships between minimum Bayes error and information theoretical feature extraction

Nuno Vasconcelos, Manuela Vasconcelos, 2005, SPIE Defense + Commercial Sensing.

A biologically plausible network for the computation of orientation dominance

Nuno Vasconcelos, Kritika Muralidharan, 2010, NIPS.

Library-based image coding

Nuno Vasconcelos, Andrew Lippman, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection pdf

Rogério Schmidt Feris, Nuno Vasconcelos, Quanfu Fan, 2016, ECCV.

Canadian Robotic Vision Special Issue Minimum Bayes Error Features for Visual Recognition

Gustavo Carneiro, Nuno Vasconcelos, 2005 .

Discriminant Saliency for Visual Recognition from Cluttered Scenes

Nuno Vasconcelos, Dashan Gao, N. Vasconcelos, 2004, NIPS.

Scalable discriminant feature selection for image retrieval and recognition

Nuno Vasconcelos, Manuela Vasconcelos, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

On the design of robust classifiers for computer vision

Nuno Vasconcelos, Vijay Mahadevan, Hamed Masnadi-Shirazi, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Supplemental Material for "Classifying Video with Kernel Dynamic Textures"

Nuno Vasconcelos, Antoni B. Chan, 2007 .

Object-Based Regions of Interest for Image Compression

Nuno Vasconcelos, Sunhyoung Han, 2008, Data Compression Conference (dcc 2008).

Variational layered dynamic textures

Nuno Vasconcelos, Antoni B. Chan, N. Vasconcelos, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Bayesian Model Adaptation for Crowd Counts

Nuno Vasconcelos, Bo Liu, N. Vasconcelos, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Image indexing with mixture hierarchies

Nuno Vasconcelos, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Complex discriminant features for object classification

Nuno Vasconcelos, Sunhyoung Han, 2008, 2008 15th IEEE International Conference on Image Processing.

Learning Pit Pattern Concepts for Gastroenterological Training

Nuno Vasconcelos, Andreas Uhl, Roland Kwitt, 2011, MICCAI.

Frame-free video

Nuno Vasconcelos, Andrew Lippman, N. Vasconcelos, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

Counting People With Low-Level Features and Bayesian Regression

Nuno Vasconcelos, Antoni B. Chan, N. Vasconcelos, 2012, IEEE Transactions on Image Processing.

Saliency-based discriminant tracking

Nuno Vasconcelos, Vijay Mahadevan, 2009, CVPR.

Guest Editorial Special Section on Visual Saliency Computing and Learning

Ling Shao, Dong Xu, Nuno Vasconcelos, 2016, IEEE Trans. Neural Networks Learn. Syst..

TaylorBoost: First and second-order boosting algorithms with explicit margin control

Nuno Vasconcelos, Mohammad J. Saberian, Hamed Masnadi-Shirazi, 2011, CVPR 2011.

Object based Scene Representations using Fisher Scores of Local Subspace Projections

Nuno Vasconcelos, Mandar Dixit, N. Vasconcelos, 2016, NIPS.

Duals of the QCQP and SDP Sparse SVM

Nuno Vasconcelos, Antoni B. Chan, Gert R. G. Lanckriet, 2007 .

Probabilistic kernels for the classification of auto-regressive visual processes

Nuno Vasconcelos, Antoni B. Chan, N. Vasconcelos, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

High Detection-rate Cascades for Real-Time Object Detection

Nuno Vasconcelos, Hamed Masnadi-Shirazi, N. Vasconcelos, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Biologically plausible detection of amorphous objects in the wild

Nuno Vasconcelos, Sunhyoung Han, N. Vasconcelos, 2011, CVPR 2011 WORKSHOPS.

Multiclass Boosting: Margins, Codewords, Losses, and Algorithms

Nuno Vasconcelos, Mohammad Saberian, N. Vasconcelos, 2019, J. Mach. Learn. Res..

Biologically plausible algorithms for motion saliency and tracking

Nuno Vasconcelos, Vijay Mahadevan, 2011 .

Boosting algorithms for simultaneous feature extraction and selection

Nuno Vasconcelos, Mohammad J. Saberian, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

On the regularization of image semantics by modal expansion

Nuno Vasconcelos, Jose Costa Pereira, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

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

Nuno Vasconcelos, Pedro J. Moreno, Purdy Ho, 2003, NIPS.

A Bayesian Architecture for Combining Saliency Detectors

Nuno Vasconcelos, Dashan Gao, 2005 .

An Experimental Comparison of Three Guiding Principles for the Detection of Salient Image Locations: Stability, Complexity, and Discrimination

Nuno Vasconcelos, Dashan Gao, 2007, WAPCV.

Spatiotemporal Video Modeling for Content Summarization

Nuno Vasconcelos, Andrew Lippman, N. Vasconcelos, 2007 .

A Novel Approach to FRUC Using Discriminant Saliency and Frame Segmentation

Truong Q. Nguyen, Nuno Vasconcelos, Natan Jacobson, 2010, IEEE Transactions on Image Processing.

Analysis of Crowded Scenes using Holistic Properties

Nuno Vasconcelos, Antoni B. Chan, Mulloy Morrow, 2009 .

Pre and post-filtering for low bit-rate video coding

Nuno Vasconcelos, Frédéric Dufaux, 1997, Proceedings of International Conference on Image Processing.

Feature Space Transfer for Data Augmentation

Nuno Vasconcelos, Bo Liu, Roland Kwitt, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Deep Scene Image Classification with the MFAFVNet

Nuno Vasconcelos, Yunsheng Li, Mandar Dixit, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Empirical Bayesian Motion Segmentation

Nuno Vasconcelos, Andrew Lippman, N. Vasconcelos, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

Feature representations for image retrieval: beyond the color histogram

Nuno Vasconcelos, Andrew Lippman, 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).

Geodesic Regression on the Grassmannian

Nuno Vasconcelos, Marc Niethammer, Yi Hong, 2014, ECCV.

Scene classification with low-dimensional semantic spaces and weak supervision

Nuno Vasconcelos, Nikhil Rasiwasia, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

A study of query by semantic example

Nuno Vasconcelos, Nikhil Rasiwasia, N. Vasconcelos, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition

Nuno Vasconcelos, Bo Liu, Chih-Hui Ho, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Statistical models of video structure for content analysis and characterization

Nuno Vasconcelos, Andrew Lippman, N. Vasconcelos, 2000, IEEE Trans. Image Process..

Person-following UAVs

Nuno Vasconcelos, Francisca Vasconcelos, 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

Content-based pre-indexed video

Nuno Vasconcelos, Andrew Lippman, 1997, Proceedings of International Conference on Image Processing.

Recognizing Activities via Bag of Words for Attribute Dynamics

Nuno Vasconcelos, Harpreet S. Sawhney, Qian Yu, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Natural Image Statistics and Low-Complexity Feature Selection

Nuno Vasconcelos, Manuela Vasconcelos, N. Vasconcelos, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A multiresolution manifold distance for invariant image similarity

Nuno Vasconcelos, Andrew Lippman, N. Vasconcelos, 2005, IEEE Transactions on Multimedia.

Cost-Sensitive Support Vector Machines

Nuno Vasconcelos, Arya Iranmehr, Hamed Masnadi-Shirazi, 2012, Neurocomputing.

Bayesian models for visual information retrieval

Nuno Vasconcelos, Andrew Lippman, N. Vasconcelos, 2000 .

Electrical Engineering (Intelligent Systems, Robotics, and Control)

Terrence J. Sejnowski, Nuno Vasconcelos, Charles Elkan, 2006 .

Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification

Nuno Vasconcelos, Nikhil Rasiwasia, Mandar Dixit, 2013, 2013 IEEE International Conference on Computer Vision.

Boosted Convolutional Neural Networks

Jian Yang, Nuno Vasconcelos, Serge J. Belongie, 2016, BMVC.

Minimum probability of error image retrieval

Nuno Vasconcelos, N. Vasconcelos, 2012, IEEE Transactions on Signal Processing.

Towards semantically meaningful feature spaces for the characterization of video content

Nuno Vasconcelos, Andrew Lippman, N. Vasconcelos, 1997, Proceedings of International Conference on Image Processing.

Super Diffusion for Salient Object Detection

Peng Jiang, Nuno Vasconcelos, Changhe Tu, 2018, IEEE Transactions on Image Processing.

SCOUT: Self-Aware Discriminant Counterfactual Explanations

Nuno Vasconcelos, Pei Wang, Pei Wang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Library-based coding: a representation for efficient video compression and retrieval

Nuno Vasconcelos, Andrew Lippman, 1997, Proceedings DCC '97. Data Compression Conference.

Multiresolution Tangent Distance for Affine-invariant Classification

Nuno Vasconcelos, Andrew Lippman, N. Vasconcelos, 1997, NIPS.

Localizing target structures in ultrasound video - A phantom study

Sharif Razzaque, Nuno Vasconcelos, Stephen R. Aylward, 2013, Medical Image Anal..

Adapted Gaussian models for image classification

Nuno Vasconcelos, Nikhil Rasiwasia, Mandar Dixit, 2011, CVPR 2011.

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval

Chong-Wah Ngo, Nuno Vasconcelos, Xiangyang Xue, 2017, ICMR.

Minimum Bayes error features for visual recognition by sequential feature selection and extraction

Gustavo Carneiro, Nuno Vasconcelos, 2005, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05).

Content-Based Image and Video Retrieval

Nuno Vasconcelos, 2005, Signal Process..

Complex Activity Recognition Via Attribute Dynamics

Nuno Vasconcelos, Weixin Li, N. Vasconcelos, 2017, International Journal of Computer Vision.

Bayesian Poisson regression for crowd counting

Nuno Vasconcelos, Antoni B. Chan, N. Vasconcelos, 2009, 2009 IEEE 12th International Conference on Computer Vision.

A unifying view of image similarity

Nuno Vasconcelos, Andrew Lippman, N. Vasconcelos, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures

Nuno Vasconcelos, Antoni B. Chan, N. Vasconcelos, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

PIEs: Pose Invariant Embeddings

Nuno Vasconcelos, Pedro Morgado, Chih-Hui Ho, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Object recognition with hierarchical discriminant saliency networks

Nuno Vasconcelos, Sunhyoung Han, N. Vasconcelos, 2014, Front. Comput. Neurosci..

Decision-Theoretic Saliency: Computational Principles, Biological Plausibility, and Implications for Neurophysiology and Psychophysics

Nuno Vasconcelos, Dashan Gao, N. Vasconcelos, 2009, Neural Computation.

Scene Recognition on the Semantic Manifold

Nuno Vasconcelos, Roland Kwitt, Nikhil Rasiwasia, 2012, ECCV.

A Bayesian framework for semantic content characterization

Nuno Vasconcelos, Andrew Lippman, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

A new approach to cross-modal multimedia retrieval

Roger Levy, Nuno Vasconcelos, Gert R. G. Lanckriet, 2010, ACM Multimedia.

Asymmetric boosting

Nuno Vasconcelos, Hamed Masnadi-Shirazi, N. Vasconcelos, 2007, ICML '07.

Recognizing Activities by Attribute Dynamics

Nuno Vasconcelos, Weixin Li, N. Vasconcelos, 2012, NIPS.

Background Data Resampling for Outlier-Aware Classification

Yi Li, Nuno Vasconcelos, N. Vasconcelos, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Cascade R-CNN: Delving Into High Quality Object Detection

Nuno Vasconcelos, Zhaowei Cai, N. Vasconcelos, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Holistic Context Models for Visual Recognition

Nuno Vasconcelos, Nikhil Rasiwasia, N. Vasconcelos, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Self-Supervised Generation of Spatial Audio for 360 Video

Nuno Vasconcelos, Oliver Wang, Pedro Morgado, 2018, NIPS 2018.

Minimum Bayes error features for visual recognition

Gustavo Carneiro, Nuno Vasconcelos, 2009, Image Vis. Comput..

Learning Mixture Hierarchies

Nuno Vasconcelos, Andrew Lippman, N. Vasconcelos, 1998, NIPS.

Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting

David J. Kriegman, Nuno Vasconcelos, Oscar Beijbom, 2014, ICML.

Integrated learning of saliency, complex features, and object detectors from cluttered scenes

Nuno Vasconcelos, Dashan Gao, N. Vasconcelos, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Variational layered dynamic textures

Nuno Vasconcelos, Antoni B. Chan, 2009, CVPR.

Empirical Bayesian EM-based motion segmentation

Nuno Vasconcelos, Andrew Lippman, N. Vasconcelos, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Virtual Phantom Molecular Breast Imaging Training Data Set for Deep Learning Classification Model

Nuno Vasconcelos, Bhaskar D. Rao, Bongyong Song, 2020 .

Peak-Piloted Deep Network for Facial Expression Recognition pdf

Shuicheng Yan, Nuno Vasconcelos, Xiaodan Liang, 2016, ECCV.

Learning Complexity-Aware Cascades for Deep Pedestrian Detection

Nuno Vasconcelos, Zhaowei Cai, Mohammad J. Saberian, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

A Bayesian framework for content-based indexing and retrieval

Nuno Vasconcelos, Andrew Lippman, N. Vasconcelos, 1998, Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225).

VLAD3: Encoding Dynamics of Deep Features for Action Recognition

Nuno Vasconcelos, Yingwei Li, Weixin Li, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Feature Selection by Maximum Marginal Diversity

Nuno Vasconcelos, N. Vasconcelos, 2002, NIPS.

The discriminant center-surround hypothesis for bottom-up saliency

Nuno Vasconcelos, Dashan Gao, Vijay Mahadevan, 2007, NIPS.

Bottom-up saliency is a discriminant process

Nuno Vasconcelos, Dashan Gao, N. Vasconcelos, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Cost-Sensitive Boosting

Nuno Vasconcelos, Hamed Masnadi-Shirazi, N. Vasconcelos, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Few-Shot Open-Set Recognition Using Meta-Learning

Bo Liu, Nuno Vasconcelos, Hao Kang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Scene classification with semantic Fisher vectors

Nuno Vasconcelos, Si Chen, Nikhil Rasiwasia, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A family of information-theoretic algorithms for low-complexity discriminant feature selection in image retrieval

Nuno Vasconcelos, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Cross-modal domain adaptation for text-based regularization of image semantics in image retrieval systems

Nuno Vasconcelos, Jose Costa Pereira, N. Vasconcelos, 2014, Comput. Vis. Image Underst..

Rethinking Differentiable Search for Mixed-Precision Neural Networks

Nuno Vasconcelos, Zhaowei Cai, N. Vasconcelos, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

The EM Algorithm for Layered Dynamic Textures

Nuno Vasconcelos, Antoni B. Chan, 2005 .

Spatiotemporal model-based optic flow estimation

Nuno Vasconcelos, Andrew Lippman, N. Vasconcelos, 1995, Proceedings., International Conference on Image Processing.

Bridging the Gap: Query by Semantic Example

Nuno Vasconcelos, Nikhil Rasiwasia, Pedro J. Moreno, 2007, IEEE Transactions on Multimedia.

From Pixels to Semantic Spaces: Advances in Content-Based Image Retrieval

Nuno Vasconcelos, N. Vasconcelos, 2007, Computer.

AGA: Attribute-Guided Augmentation

Nuno Vasconcelos, Marc Niethammer, Roland Kwitt, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Single Image Superresolution Based on Support Vector Regression

Truong Q. Nguyen, Nuno Vasconcelos, Sanjeev Kumar, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition

Nuno Vasconcelos, Dashan Gao, Sunhyoung Han, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Bayesian representations and learning mechanisms for content-based image retrieval

Nuno Vasconcelos, Andrew Lippman, 1999, Electronic Imaging.

How many bits does it take for a stimulus to be salient?

Nuno Vasconcelos, Ivan V. Bajic, Seyed Hossein Khatoonabadi, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Complexity-Aware Cascades for Pedestrian Detection

Nuno Vasconcelos, Zhaowei Cai, Mohammad Javad Saberian, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Risk minimization, probability elicitation, and cost-sensitive SVMs

Nuno Vasconcelos, Hamed Masnadi-Shirazi, N. Vasconcelos, 2010, ICML.

Semantic Clustering for Robust Fine-Grained Scene Recognition pdf

Nuno Vasconcelos, Marian George, Mandar Dixit, 2016, ECCV.

Multiple instance learning for soft bags via top instances

Nuno Vasconcelos, Weixin Li, N. Vasconcelos, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Parametric Regression on the Grassmannian

Nuno Vasconcelos, Marc Niethammer, Roland Kwitt, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Audio-Visual Instance Discrimination with Cross-Modal Agreement pdf

Nuno Vasconcelos, Pedro Morgado, Ishan Misra, 2020, ArXiv.

Anomaly detection in crowded scenes

Nuno Vasconcelos, Vijay Mahadevan, Weixin Li, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Boosting algorithms for detector cascade learning

Nuno Vasconcelos, Mohammad J. Saberian, N. Vasconcelos, 2014, J. Mach. Learn. Res..

On the complexity of probabilistic image retrieval

Nuno Vasconcelos, N. Vasconcelos, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Layered Dynamic Textures

Nuno Vasconcelos, Antoni B. Chan, N. Vasconcelos, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning Optimal Seeds for Diffusion-Based Salient Object Detection

Nuno Vasconcelos, Song Lu, Vijay Mahadevan, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings pdf

Nuno Vasconcelos, Yunsheng Li, Pedro Morgado, 2020, International Journal of Computer Vision.

A view of margin losses as regularizers of probability estimates

Nuno Vasconcelos, Hamed Masnadi-Shirazi, N. Vasconcelos, 2015, J. Mach. Learn. Res..

An Experimental Comparison of Three Guiding Principles for the Detection Salient Image Locations: Stability, Complexity, and Discrimination

Nuno Vasconcelos, Dashan Gao, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Multiclass Boosting: Theory and Algorithms

Nuno Vasconcelos, Mohammad J. Saberian, N. Vasconcelos, 2011, NIPS.

Dynamic Transfer for Multi-Source Domain Adaptation

Lu Yuan, Nuno Vasconcelos, Yunsheng Li, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction pdf

Nuno Vasconcelos, Chih-Hui Ho, Brandon Leung, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition pdf

Gang Hua, Nuno Vasconcelos, Haoxiang Li, 2021, ECCV.

Semi-supervised Long-tailed Recognition using Alternate Sampling pdf

Gang Hua, Nuno Vasconcelos, Haoxiang Li, 2021, ArXiv.

IMAGINE: Image Synthesis by Image-Guided Model Inversion

Nuno Vasconcelos, Jingwan Lu, Yijun Li, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Deep Classifiers Consistent with Fine-Grained Novelty Detection

Nuno Vasconcelos, Jiacheng Cheng, N. Vasconcelos, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Rethinking and Improving the Robustness of Image Style Transfer

Nuno Vasconcelos, Yijun Li, Pei Wang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Robust Audio-Visual Instance Discrimination

Nuno Vasconcelos, Ishan Misra, Pedro Morgado, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation pdf

Nuno Vasconcelos, Weichao Qiu, Alan Yuille, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

MicroNet: Improving Image Recognition with Extremely Low FLOPs pdf

Lu Yuan, Nuno Vasconcelos, Lei Zhang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Sparse Pose Trajectory Completion pdf

Gang Hua, Nuno Vasconcelos, Roland Kwitt, 2021, ArXiv.

Learning of Visual Relations: The Devil is in the Tails pdf

Nuno Vasconcelos, Subarna Tripathi, Alakh Desai, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition pdf

Gang Hua, Nuno Vasconcelos, Haoxiang Li, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Revisiting Dynamic Convolution via Matrix Decomposition pdf

Lu Yuan, Nuno Vasconcelos, Xiyang Dai, 2021, ICLR.

Humane Interfaces to Video

Nuno Vasconcelos, Andrew Lippman, Giri Iyengar, 1998 .

Cost-sensitive Boosting Cost-sensitive Boosting

Nuno Vasconcelos, Hamed Masnadi-Shirazi, N. Vasconcelos, 2007 .