Library-based image coding. - Nuno Vasconcelos; Andrew Lippman (ICASSP (5), 1994)

Spatiotemporal model-based optic flow estimation. - Nuno Vasconcelos; Andrew Lippman (ICIP, 1995)

Frame-free video. - Nuno Vasconcelos; Andrew Lippman (ICIP (3), 1996)

Empirical Bayesian EM-based Motion Segmentation. - Nuno Vasconcelos; Andrew Lippman (CVPR, 1997)

Library-based Coding: a Representation for Efficient Video Compression and Retrieval. - Nuno Vasconcelos; Andrew Lippman (Data Compression Conference, 1997)

Pre and Post-Filtering for Low Bit-Rate Video Coding. - Nuno Vasconcelos; Frédéric Dufaux (ICIP (1), 1997)

Towards Semantically Meaningful Feature Spaces for the Characterization of Video Content. - Nuno Vasconcelos; Andrew Lippman (ICIP (1), 1997)

Content-Based Pre-Indexed Video. - Nuno Vasconcelos; Andrew Lippman (ICIP (2), 1997)

Multiresolution Tangent Distance for Affine-invariant Classification. - Nuno Vasconcelos; Andrew Lippman (NIPS, 1997)

A Spatiotemporal Motion Model for Video Summarization. - Nuno Vasconcelos; Andrew Lippman (CVPR, 1998)

A Bayesian Framework for Semantic Content Characterization. - Nuno Vasconcelos; Andrew Lippman (CVPR, 1998)

A Bayesian Framework for Content-Based Indexing and Retrieval. - Nuno Vasconcelos; Andrew Lippman (Data Compression Conference, 1998)

Bayesian Modeling of Video Editing and Structure: Semantic Features for Video Summarization and Browsing. - Nuno Vasconcelos; Andrew Lippman (ICIP (3), 1998)

Learning Mixture Hierarchies. - Nuno Vasconcelos; Andrew Lippman (NIPS, 1998)

Learning from User Feedback in Image Retrieval Systems. - Nuno Vasconcelos; Andrew Lippman (NIPS, 1999)

A Probabilistic Architecture for Content-Based Image Retrieval. - Nuno Vasconcelos; Andrew Lippman (CVPR, 2000)

Learning Over Multiple Temporal Scales in Image Databases. - Nuno Vasconcelos; Andrew Lippman (ECCV (1), 2000)

Feature Representations for Image Retrieval: Beyond the Color Histogram. - Nuno Vasconcelos; Andrew Lippman (IEEE International Conference on Multimedia and Expo (II), 2000)

A Unifying View of Image Similarity. - Nuno Vasconcelos; Andrew Lippman (ICPR, 2000)

Bayesian Video Shot Segmentation. - Nuno Vasconcelos; Andrew Lippman (NIPS, 2000)

Bayesian representations and learning mechanisms for content-based image retrieval. - Nuno Vasconcelos; Andrew Lippman (Storage and Retrieval for Media Databases, 2000)

Statistical models of video structure for content analysis and characterization. - Nuno Vasconcelos; Andrew Lippman (IEEE Trans. Image Process., 2000)

Image Indexing with Mixture Hierarchies. - Nuno Vasconcelos (CVPR (1), 2001)

On the Complexity of Probabilistic Image Retrieval. - Nuno Vasconcelos (ICCV, 2001)

Content-based retrieval from image databases: current solutions and future directions. - Nuno Vasconcelos; Murat Kunt (ICIP (3), 2001)

Empirical Bayesian Motion Segmentation. - Nuno Vasconcelos; Andrew Lippman (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

What Is the Role of Independence for Visual Recognition? - Nuno Vasconcelos; Gustavo Carneiro 001 (ECCV (1), 2002)

Exploiting group structure to improve retrieval accuracy and speed in image databases. - Nuno Vasconcelos (ICIP (1), 2002)

Feature Selection by Maximum Marginal Diversity. - Nuno Vasconcelos (NIPS, 2002)

Feature Selection by Maximum Marginal Diversity: optimality and implications for visual recognition. - Nuno Vasconcelos (CVPR (1), 2003)

A family of information-theoretic algorithms for low-complexity discriminant feature selection in image retrieval. - Nuno Vasconcelos (ICIP (3), 2003)

A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications. - Pedro J. Moreno 001; Purdy Ho; Nuno Vasconcelos (NIPS, 2003)

Scalable Discriminant Feature Selection for Image Retrieval and Recognition. - Nuno Vasconcelos; Manuela Vasconcelos (CVPR (2), 2004)

The Kullback-Leibler Kernel as a Framework for Discriminant and Localized Representations for Visual Recognition. - Nuno Vasconcelos; Purdy Ho; Pedro J. Moreno 001 (ECCV (3), 2004)

Discriminant Saliency for Visual Recognition from Cluttered Scenes. - Dashan Gao 001; Nuno Vasconcelos (NIPS, 2004)

On the efficient evaluation of probabilistic similarity functions for image retrieval. - Nuno Vasconcelos (IEEE Trans. Inf. Theory, 2004)

Minimum probability of error image retrieval. - Nuno Vasconcelos (IEEE Trans. Signal Process., 2004)

Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction. - Gustavo Carneiro 001; Nuno Vasconcelos (CRV, 2005)

Formulating Semantic Image Annotation as a Supervised Learning Problem. - Gustavo Carneiro 001; Nuno Vasconcelos (CVPR (2), 2005)

Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes. - Antoni B. Chan; Nuno Vasconcelos (CVPR (1), 2005)

Integrated Learning of Saliency, Complex Features, and Object Detectors from Cluttered Scenes. - Dashan Gao 001; Nuno Vasconcelos (CVPR (2), 2005)

Mixtures of Dynamic Textures. - Antoni B. Chan; Nuno Vasconcelos (ICCV, 2005)

A database centric view of semantic image annotation and retrieval. - Gustavo Carneiro 001; Nuno Vasconcelos (SIGIR, 2005)

Content-Based Image and Video Retrieval. - Nuno Vasconcelos (Signal Process., 2005)

A multiresolution manifold distance for invariant image similarity. - Nuno Vasconcelos; Andrew Lippman (IEEE Trans. Multim., 2005)

Query by Semantic Example. - Nikhil Rasiwasia; Nuno Vasconcelos; Pedro J. Moreno 001 (CIVR, 2006)

Weakly Supervised Top-down Image Segmentation. - Manuela Vasconcelos; Nuno Vasconcelos; Gustavo Carneiro 001 (CVPR (1), 2006)

Single Image Superresolution Based on Support Vector Regression. - Karl S. Ni; Sanjeev Kumar 003; Nuno Vasconcelos; Truong Q. Nguyen (ICASSP (2), 2006)

Image Compression using Object-Based Regions of Interest. - Sunhyoung Han; Nuno Vasconcelos (ICIP, 2006)

Classifying Video with Kernel Dynamic Textures. - Antoni B. Chan; Nuno Vasconcelos (CVPR, 2007)

Discriminant Interest Points are Stable. - Dashan Gao 001; Nuno Vasconcelos (CVPR, 2007)

Bottom-up saliency is a discriminant process. - Dashan Gao 001; Nuno Vasconcelos (ICCV, 2007)

High Detection-rate Cascades for Real-Time Object Detection. - Hamed Masnadi-Shirazi; Nuno Vasconcelos (ICCV, 2007)

Direct convex relaxations of sparse SVM. - Antoni B. Chan; Nuno Vasconcelos; Gert R. G. Lanckriet (ICML, 2007)

Asymmetric boosting. - Hamed Masnadi-Shirazi; Nuno Vasconcelos (ICML, 2007)

The discriminant center-surround hypothesis for bottom-up saliency. - Dashan Gao 001; Vijay Mahadevan; Nuno Vasconcelos (NIPS, 2007)

An Experimental Comparison of Three Guiding Principles for the Detection of Salient Image Locations: Stability, Complexity, and Discrimination. - Dashan Gao 001; Nuno Vasconcelos (WAPCV, 2007)

Supervised Learning of Semantic Classes for Image Annotation and Retrieval. - Gustavo Carneiro 001; Antoni B. Chan; Pedro J. Moreno 001; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Bridging the Gap: Query by Semantic Example. - Nikhil Rasiwasia; Pedro J. Moreno 001; Nuno Vasconcelos (IEEE Trans. Multim., 2007)

Privacy preserving crowd monitoring: Counting people without people models or tracking. - Antoni B. Chan; Zhang-Sheng John Liang; Nuno Vasconcelos (CVPR, 2008)

Background subtraction in highly dynamic scenes. - Vijay Mahadevan; Nuno Vasconcelos (CVPR, 2008)

Scene classification with low-dimensional semantic spaces and weak supervision. - Nikhil Rasiwasia; Nuno Vasconcelos (CVPR, 2008)

A study of query by semantic example. - Nikhil Rasiwasia; Nuno Vasconcelos (CVPR Workshops, 2008)

Object-Based Regions of Interest for Image Compression. - Sunhyoung Han; Nuno Vasconcelos (DCC, 2008)

Complex discriminant features for object classification. - Sunhyoung Han; Nuno Vasconcelos (ICIP, 2008)

A systematic study of the role of context on image classification. - Nikhil Rasiwasia; Nuno Vasconcelos (ICIP, 2008)

Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques. - Tong Lin 002; Laura I. Cervino; Xiaoli Tang; Nuno Vasconcelos; Steve B. Jiang (ICMLA, 2008)

Image retrieval using query by contextual example. - Nikhil Rasiwasia; Nuno Vasconcelos (Multimedia Information Retrieval, 2008)

On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost. - Hamed Masnadi-Shirazi; Nuno Vasconcelos (NIPS, 2008)

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

Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures. - Antoni B. Chan; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Variational layered dynamic textures. - Antoni B. Chan; Nuno Vasconcelos (CVPR, 2009)

Saliency-based discriminant tracking. - Vijay Mahadevan; Nuno Vasconcelos (CVPR, 2009)

Holistic context modeling using semantic co-occurrences. - Nikhil Rasiwasia; Nuno Vasconcelos (CVPR, 2009)

Bayesian Poisson regression for crowd counting. - Antoni B. Chan; Nuno Vasconcelos (ICCV, 2009)

Minimum Bayes error features for visual recognition. - Gustavo Carneiro 001; Nuno Vasconcelos (Image Vis. Comput., 2009)

Decision-Theoretic Saliency: Computational Principles, Biological Plausibility, and Implications for Neurophysiology and Psychophysics. - Dashan Gao 001; Nuno Vasconcelos (Neural Comput., 2009)

Layered Dynamic Textures. - Antoni B. Chan; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition. - Dashan Gao 001; Sunhyoung Han; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Natural Image Statistics and Low-Complexity Feature Selection. - Manuela Vasconcelos; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Anomaly detection in crowded scenes. - Vijay Mahadevan; Weixin Li 002; Viral Bhalodia; Nuno Vasconcelos (CVPR, 2010)

On the design of robust classifiers for computer vision. - Hamed Masnadi-Shirazi; Vijay Mahadevan; Nuno Vasconcelos (CVPR, 2010)

Motion vector refinement for FRUC using saliency and segmentation. - Natan Jacobson; Yen-Lin Lee; Vijay Mahadevan; Nuno Vasconcelos; Truong Q. Nguyen (ICME, 2010)

Risk minimization, probability elicitation, and cost-sensitive SVMs. - Hamed Masnadi-Shirazi; Nuno Vasconcelos (ICML, 2010)

A new approach to cross-modal multimedia retrieval. - Nikhil Rasiwasia; José Costa Pereira; Emanuele Coviello; Gabriel Doyle; Gert R. G. Lanckriet; Roger Levy; Nuno Vasconcelos (ACM Multimedia, 2010)

Variable margin losses for classifier design. - Hamed Masnadi-Shirazi; Nuno Vasconcelos (NIPS, 2010)

A biologically plausible network for the computation of orientation dominance. - Kritika Muralidharan; Nuno Vasconcelos (NIPS, 2010)

Boosting Classifier Cascades. - Mohammad J. Saberian; Nuno Vasconcelos (NIPS, 2010)

Spatiotemporal Saliency in Dynamic Scenes. - Vijay Mahadevan; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

A Novel Approach to FRUC Using Discriminant Saliency and Frame Segmentation. - Natan Jacobson; Yen-Lin Lee; Vijay Mahadevan; Nuno Vasconcelos; Truong Q. Nguyen (IEEE Trans. Image Process., 2010)

Adapted Gaussian models for image classification. - Mandar Dixit; Nikhil Rasiwasia; Nuno Vasconcelos (CVPR, 2011)

Biologically plausible detection of amorphous objects in the wild. - Sunhyoung Han; Nuno Vasconcelos (CVPR Workshops, 2011)

Automatic initialization and tracking using attentional mechanisms. - Vijay Mahadevan; Nuno Vasconcelos (CVPR Workshops, 2011)

TaylorBoost: First and second-order boosting algorithms with explicit margin control. - Mohammad J. Saberian; Hamed Masnadi-Shirazi; Nuno Vasconcelos (CVPR, 2011)

Learning Pit Pattern Concepts for Gastroenterological Training. - Roland Kwitt; Nikhil Rasiwasia; Nuno Vasconcelos; Andreas Uhl; Michael Häfner; Friedrich Wrba (MICCAI (3), 2011)

Maximum Covariance Unfolding : Manifold Learning for Bimodal Data. - Vijay Mahadevan; Chi Wah Wong; José Costa Pereira; Tom Liu; Nuno Vasconcelos; Lawrence K. Saul (NIPS, 2011)

Multiclass Boosting: Theory and Algorithms. - Mohammad J. Saberian; Nuno Vasconcelos (NIPS, 2011)

Generalized Stauffer-Grimson background subtraction for dynamic scenes. - Antoni B. Chan; Vijay Mahadevan; Nuno Vasconcelos (Mach. Vis. Appl., 2011)

Cost-Sensitive Boosting. - Hamed Masnadi-Shirazi; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

On the regularization of image semantics by modal expansion. - José Costa Pereira; Nuno Vasconcelos (CVPR, 2012)

Boosting algorithms for simultaneous feature extraction and selection. - Mohammad J. Saberian; Nuno Vasconcelos (CVPR, 2012)

Scene Recognition on the Semantic Manifold. - Roland Kwitt; Nuno Vasconcelos; Nikhil Rasiwasia (ECCV (4), 2012)

Recognition in Ultrasound Videos: Where Am I? - Roland Kwitt; Nuno Vasconcelos; Sharif Razzaque; Stephen R. Aylward (MICCAI (3), 2012)

Recognizing Activities by Attribute Dynamics. - Weixin Li 002; Nuno Vasconcelos (NIPS, 2012)

On the connections between saliency and tracking. - Vijay Mahadevan; Nuno Vasconcelos (NIPS, 2012)

Minimum Probability of Error Image Retrieval: From Visual Features to Image Semantics. - Nuno Vasconcelos; Manuela Vasconcelos (Found. Trends Signal Process., 2012)

Endoscopic image analysis in semantic space. - Roland Kwitt; Nuno Vasconcelos; Nikhil Rasiwasia; Andreas Uhl; Bradley C. Davis; Michael Häfner; Friedrich Wrba (Medical Image Anal., 2012)

Holistic Context Models for Visual Recognition. - Nikhil Rasiwasia; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Learning Optimal Embedded Cascades. - Mohammad Javad Saberian; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Counting People With Low-Level Features and Bayesian Regression. - Antoni B. Chan; Nuno Vasconcelos (IEEE Trans. Image Process., 2012)

Surveillance of Crowded Environments: Modeling the Crowd by Its Global Properties. - Antoni B. Chan; Nuno Vasconcelos (Modeling, Simulation and Visual Analysis of Crowds, 2013)

Recognizing Activities via Bag of Words for Attribute Dynamics. - Weixin Li 002; Qian Yu; Harpreet S. Sawhney; Nuno Vasconcelos (CVPR, 2013)

Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification. - Mandar Dixit; Nikhil Rasiwasia; Nuno Vasconcelos (ICCV, 2013)

Dynamic Pooling for Complex Event Recognition. - Weixin Li 002; Qian Yu; Ajay Divakaran; Nuno Vasconcelos (ICCV, 2013)

Localizing target structures in ultrasound video - A phantom study. - Roland Kwitt; Nuno Vasconcelos; Sharif Razzaque; Stephen R. Aylward (Medical Image Anal., 2013)

Biologically Inspired Object Tracking Using Center-Surround Saliency Mechanisms. - Vijay Mahadevan; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Latent Dirichlet Allocation Models for Image Classification. - Nikhil Rasiwasia; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Learning Optimal Seeds for Diffusion-Based Salient Object Detection. - Song Lu; Vijay Mahadevan; Nuno Vasconcelos (CVPR, 2014)

Learning Receptive Fields for Pooling from Tensors of Feature Response. - Can Xu; Nuno Vasconcelos (CVPR, 2014)

Geodesic Regression on the Grassmannian. - Yi Hong 006; Roland Kwitt; Nikhil Singh 002; Brad Davis; Nuno Vasconcelos; Marc Niethammer (ECCV (2), 2014)

Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting. - Oscar Beijbom; Mohammad J. Saberian; David J. Kriegman; Nuno Vasconcelos (ICML, 2014)

Multi-Resolution Cascades for Multiclass Object Detection. - Mohammad J. Saberian; Nuno Vasconcelos (NIPS, 2014)

Cross-modal domain adaptation for text-based regularization of image semantics in image retrieval systems. - José Costa Pereira; Nuno Vasconcelos (Comput. Vis. Image Underst., 2014)

Object recognition with hierarchical discriminant saliency networks. - Sunhyoung Han; Nuno Vasconcelos (Frontiers Comput. Neurosci., 2014)

Boosting algorithms for detector cascade learning. - Mohammad J. Saberian; Nuno Vasconcelos (J. Mach. Learn. Res., 2014)

Anomaly Detection and Localization in Crowded Scenes. - Weixin Li 002; Vijay Mahadevan; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval. - José Costa Pereira; Emanuele Coviello; Gabriel Doyle; Nikhil Rasiwasia; Gert R. G. Lanckriet; Roger Levy; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Robust Deformable and Occluded Object Tracking With Dynamic Graph. - Zhaowei Cai; Longyin Wen; Zhen Lei 001; Nuno Vasconcelos; Stan Z. Li (IEEE Trans. Image Process., 2014)

Scene classification with semantic Fisher vectors. - Mandar Dixit; Si Chen; Dashan Gao 001; Nikhil Rasiwasia; Nuno Vasconcelos (CVPR, 2015)

How many bits does it take for a stimulus to be salient? - Sayed Hossein Khatoonabadi; Nuno Vasconcelos; Ivan V. Bajic; Yufeng Shan (CVPR, 2015)

Multiple instance learning for soft bags via top instances. - Weixin Li 002; Nuno Vasconcelos (CVPR, 2015)

Learning Complexity-Aware Cascades for Deep Pedestrian Detection. - Zhaowei Cai; Mohammad J. Saberian; Nuno Vasconcelos (ICCV, 2015)

Generic Promotion of Diffusion-Based Salient Object Detection. - Peng Jiang 002; Nuno Vasconcelos; Jingliang Peng (ICCV, 2015)

Bayesian Model Adaptation for Crowd Counts. - Bo Liu 043; Nuno Vasconcelos (ICCV, 2015)

A view of margin losses as regularizers of probability estimates. - Hamed Masnadi-Shirazi; Nuno Vasconcelos (J. Mach. Learn. Res., 2015)

Boosted Convolutional Neural Networks. - Mohammad Moghimi; Serge J. Belongie; Mohammad J. Saberian; Jian Yang 003; Nuno Vasconcelos; Li-Jia Li 001 (BMVC, 2016)

VLAD3: Encoding Dynamics of Deep Features for Action Recognition. - Yingwei Li 001; Weixin Li 002; Vijay Mahadevan; Nuno Vasconcelos (CVPR, 2016)

A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection. - Zhaowei Cai; Quanfu Fan; Rogério Schmidt Feris; Nuno Vasconcelos (ECCV (4), 2016)

Semantic Clustering for Robust Fine-Grained Scene Recognition. - Marian George; Mandar Dixit; Gábor Zogg; Nuno Vasconcelos (ECCV (1), 2016)

Peak-Piloted Deep Network for Facial Expression Recognition. - Xiangyun Zhao; Xiaodan Liang; Luoqi Liu; Teng Li 001; Yugang Han; Nuno Vasconcelos; Shuicheng Yan (ECCV (2), 2016)

Pedestrian detection aided by temporal prior. - Zhaowei Cai; Matthew Jacobsen; Nuno Vasconcelos (ISOCC, 2016)

Object based Scene Representations using Fisher Scores of Local Subspace Projections. - Mandar Dixit; Nuno Vasconcelos (NIPS, 2016)

Large Margin Discriminant Dimensionality Reduction in Prediction Space. - Mohammad J. Saberian; José Costa Pereira; Nuno Vasconcelos; Can Xu (NIPS, 2016)

Person-following UAVs. - Francisca Vasconcelos; Nuno Vasconcelos (WACV, 2016)

Peak-Piloted Deep Network for Facial Expression Recognition. - Xiangyun Zhao; Xiaodan Liang; Luoqi Liu; Teng Li 001; Nuno Vasconcelos; Shuicheng Yan (CoRR, 2016)

Parametric Regression on the Grassmannian. - Yi Hong 006; Roland Kwitt; Nikhil Singh 002; Nuno Vasconcelos; Marc Niethammer (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Guest Editorial Special Section on Visual Saliency Computing and Learning. - Junwei Han 001; Ling Shao 001; Nuno Vasconcelos; Jungong Han; Dong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Deep Learning with Low Precision by Half-Wave Gaussian Quantization. - Zhaowei Cai; Xiaodong He 001; Jian Sun 001; Nuno Vasconcelos (CVPR, 2017)

AGA: Attribute-Guided Augmentation. - Mandar Dixit; Roland Kwitt; Marc Niethammer; Nuno Vasconcelos (CVPR, 2017)

Semantically Consistent Regularization for Zero-Shot Recognition. - Pedro Morgado 001; Nuno Vasconcelos (CVPR, 2017)

Deep Scene Image Classification with the MFAFVNet. - Yunsheng Li; Mandar Dixit; Nuno Vasconcelos (ICCV, 2017)

Complex Activity Recognition Via Attribute Dynamics. - Weixin Li 002; Nuno Vasconcelos (Int. J. Comput. Vis., 2017)

Cascade R-CNN: Delving Into High Quality Object Detection. - Zhaowei Cai; Nuno Vasconcelos (CVPR, 2018)

Feature Space Transfer for Data Augmentation. - Bo Liu 043; Xudong Wang 007; Mandar Dixit; Roland Kwitt; Nuno Vasconcelos (CVPR, 2018)

RESOUND: Towards Action Recognition Without Representation Bias. - Yingwei Li 001; Yi Li 051; Nuno Vasconcelos (ECCV (6), 2018)

Towards Realistic Predictors. - Pei Wang; Nuno Vasconcelos (ECCV (13), 2018)

Self-Supervised Generation of Spatial Audio for 360° Video. - Pedro Morgado 001; Nuno Vasconcelos; Timothy R. Langlois; Oliver Wang (NeurIPS, 2018)

Feature Space Transfer for Data Augmentation. - Bo Liu 043; Mandar Dixit; Roland Kwitt; Nuno Vasconcelos (CoRR, 2018)

Super Diffusion for Salient Object Detection. - Peng Jiang 002; Zhiyi Pan 001; Nuno Vasconcelos; Baoquan Chen; Jingliang Peng (CoRR, 2018)

Towards Universal Object Detection by Domain Attention. - Xudong Wang 007; Zhaowei Cai; Dashan Gao 001; Nuno Vasconcelos (CVPR, 2019)

Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks. - Chih-Hui Ho; Brandon Leung; Erik Sandström; Yen Chang; Nuno Vasconcelos (CVPR, 2019)

PIEs: Pose Invariant Embeddings. - Chih-Hui Ho; Pedro Morgado 001; Amir Persekian; Nuno Vasconcelos (CVPR, 2019)

Efficient Multi-Domain Learning by Covariance Normalization. - Yunsheng Li; Nuno Vasconcelos (CVPR, 2019)

REPAIR: Removing Representation Bias by Dataset Resampling. - Yi Li 051; Nuno Vasconcelos (CVPR, 2019)

Bidirectional Learning for Domain Adaptation of Semantic Segmentation. - Yunsheng Li; Lu Yuan; Nuno Vasconcelos (CVPR, 2019)

NetTailor: Tuning the Architecture, Not Just the Weights. - Pedro Morgado 001; Nuno Vasconcelos (CVPR, 2019)

Volumetric Attention for 3D Medical Image Segmentation and Detection. - Xudong Wang 007; Shizhong Han; Yunqiang Chen; Dashan Gao 001; Nuno Vasconcelos (MICCAI (6), 2019)

Deliberative Explanations: visualizing network insecurities. - Pei Wang; Nuno Vasconcelos (NeurIPS, 2019)

Efficient Multi-Domain Network Learning by Covariance Normalization. - Yunsheng Li; Nuno Vasconcelos (CoRR, 2019)

Cost-sensitive support vector machines. - Arya Iranmehr; Hamed Masnadi-Shirazi; Nuno Vasconcelos (Neurocomputing, 2019)

Multiclass Boosting: Margins, Codewords, Losses, and Algorithms. - Mohammad J. Saberian; Nuno Vasconcelos (J. Mach. Learn. Res., 2019)

Rethinking Differentiable Search for Mixed-Precision Neural Networks. - Zhaowei Cai; Nuno Vasconcelos (CVPR, 2020)

Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition. - Chih-Hui Ho; Bo Liu 043; Tz-Ying Wu; Nuno Vasconcelos (CVPR, 2020)

Background Data Resampling for Outlier-Aware Classification. - Yi Li 051; Nuno Vasconcelos (CVPR, 2020)

Few-Shot Open-Set Recognition Using Meta-Learning. - Bo Liu 043; Hao Kang; Haoxiang Li; Gang Hua 001; Nuno Vasconcelos (CVPR, 2020)

SCOUT: Self-Aware Discriminant Counterfactual Explanations. - Pei Wang; Nuno Vasconcelos (CVPR, 2020)

Explainable Object-Induced Action Decision for Autonomous Vehicles. - Yiran Xu; Xiaoyin Yang; Lihang Gong; Hsuan-Chu Lin; Tz-Ying Wu; Yunsheng Li; Nuno Vasconcelos (CVPR, 2020)

SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection. - Hongyuan Du; Linjun Li; Bo Liu 043; Nuno Vasconcelos (ECCV (11), 2020)

Solving Long-Tailed Recognition with Deep Realistic Taxonomic Classifier. - Tz-Ying Wu; Pedro Morgado 001; Pei Wang; Chih-Hui Ho; Nuno Vasconcelos (ECCV (8), 2020)

Contrastive Learning with Adversarial Examples. - Chih-Hui Ho; Nuno Vasconcelos (NeurIPS, 2020)

Learning Representations from Audio-Visual Spatial Alignment. - Pedro Morgado 001; Yi Li 051; Nuno Vasconcelos (NeurIPS, 2020)

MicroNet: Towards Image Recognition with Extremely Low FLOPs. - Yunsheng Li; Yinpeng Chen; Xiyang Dai; Dongdong Chen 001; Mengchen Liu; Lu Yuan; Zicheng Liu 001; Lei Zhang 001; Nuno Vasconcelos (CoRR, 2020)

Learning Complexity-Aware Cascades for Pedestrian Detection. - Zhaowei Cai; Mohammad J. Saberian; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes. - Mandar Dixit; Yunsheng Li; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Super Diffusion for Salient Object Detection. - Peng Jiang 002; Zhiyi Pan 001; Changhe Tu; Nuno Vasconcelos; Baoquan Chen; Jingliang Peng (IEEE Trans. Image Process., 2020)

Robust Deep Sensing Through Transfer Learning in Cognitive Radio. - Qihang Peng; Andrew Gilman; Nuno Vasconcelos; Pamela C. Cosman; Laurence B. Milstein (IEEE Wirel. Commun. Lett., 2020)

Robust Audio-Visual Instance Discrimination. - Pedro Morgado 001; Ishan Misra; Nuno Vasconcelos (CVPR, 2021)

Audio-Visual Instance Discrimination with Cross-Modal Agreement. - Pedro Morgado 001; Nuno Vasconcelos; Ishan Misra (CVPR, 2021)

Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection. - Jiacheng Cheng; Nuno Vasconcelos (CVPR, 2021)

Dynamic Transfer for Multi-Source Domain Adaptation. - Yunsheng Li; Lu Yuan; Yinpeng Chen; Pei Wang; Nuno Vasconcelos (CVPR, 2021)

IMAGINE: Image Synthesis by Image-Guided Model Inversion. - Pei Wang; Yijun Li 001; Krishna Kumar Singh; Jingwan Lu; Nuno Vasconcelos (CVPR, 2021)

Rethinking and Improving the Robustness of Image Style Transfer. - Pei Wang; Yijun Li 001; Nuno Vasconcelos (CVPR, 2021)

Gradient-Based Algorithms for Machine Teaching. - Pei Wang; Kabir Nagrecha; Nuno Vasconcelos (CVPR, 2021)

BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning. - Zhirui Dai; Yuepeng Jiang; Yi Li 051; Bo Liu 043; Antoni B. Chan; Nuno Vasconcelos (ICCV, 2021)

Learning of Visual Relations: The Devil is in the Tails. - Alakh Desai; Tz-Ying Wu; Subarna Tripathi; Nuno Vasconcelos (ICCV, 2021)

MicroNet: Improving Image Recognition with Extremely Low FLOPs. - Yunsheng Li; Yinpeng Chen; Xiyang Dai; Dongdong Chen 001; Mengchen Liu; Lu Yuan; Zicheng Liu 001; Lei Zhang 001; Nuno Vasconcelos (ICCV, 2021)

GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition. - Bo Liu 043; Haoxiang Li; Hao Kang; Gang Hua 001; Nuno Vasconcelos (ICCV, 2021)

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. - Jiteng Mu; Weichao Qiu; Adam Kortylewski; Alan L. Yuille; Nuno Vasconcelos; Xiaolong Wang 004 (ICCV, 2021)

A Machine Teaching Framework for Scalable Recognition. - Pei Wang; Nuno Vasconcelos (ICCV, 2021)

Revisiting Dynamic Convolution via Matrix Decomposition. - Yunsheng Li; Yinpeng Chen; Xiyang Dai; Mengchen Liu; Dongdong Chen 001; Ye Yu; Lu Yuan; Zicheng Liu 001; Mei Chen; Nuno Vasconcelos (ICLR, 2021)

Sparse Pose Trajectory Completion. - Bo Liu 043; Mandar Dixit; Roland Kwitt; Gang Hua 001; Nuno Vasconcelos (CoRR, 2021)

Semi-supervised Long-tailed Recognition using Alternate Sampling. - Bo Liu 043; Haoxiang Li; Hao Kang; Nuno Vasconcelos; Gang Hua 001 (CoRR, 2021)

OOWL500: Overcoming Dataset Collection Bias in the Wild. - Brandon Leung; Chih-Hui Ho; Amir Persekian; David Orozco; Yen Chang; Erik Sandström; Bo Liu 043; Nuno Vasconcelos (CoRR, 2021)

Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings. - Pedro Morgado 001; Yunsheng Li; José Costa Pereira; Mohammad J. Saberian; Nuno Vasconcelos (Int. J. Comput. Vis., 2021)

Cascade R-CNN: High Quality Object Detection and Instance Segmentation. - Zhaowei Cai; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Calibrating Deep Neural Networks by Pairwise Constraints. - Jiacheng Cheng; Nuno Vasconcelos (CVPR, 2022)

Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction. - Brandon Leung; Chih-Hui Ho; Nuno Vasconcelos (CVPR Workshops, 2022)

VALHALLA: Visual Hallucination for Machine Translation. - Yi Li 051; Rameswar Panda; Yoon Kim; Chun-Fu Richard Chen; Rogério Feris; David D. Cox; Nuno Vasconcelos (CVPR, 2022)

Improving Video Model Transfer with Dynamic Representation Learning. - Yi Li 051; Nuno Vasconcelos (CVPR, 2022)

CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs. - Jiteng Mu; Shalini De Mello; Zhiding Yu; Nuno Vasconcelos; Xiaolong Wang 004; Jan Kautz; Sifei Liu (CVPR, 2022)

Omni-DETR: Omni-Supervised Object Detection with Transformers. - Pei Wang; Zhaowei Cai; Hao Yang 043; Gurumurthy Swaminathan; Nuno Vasconcelos; Bernt Schiele; Stefano Soatto (CVPR, 2022)

Class-Incremental Learning with Strong Pre-trained Models. - Tz-Ying Wu; Gurumurthy Swaminathan; Zhizhong Li; Avinash Ravichandran; Nuno Vasconcelos; Rahul Bhotika; Stefano Soatto (CVPR, 2022)

YORO - Lightweight End to End Visual Grounding. - Chih-Hui Ho; Srikar Appalaraju; Bhavan Jasani; R. Manmatha; Nuno Vasconcelos (ECCV Workshops (8), 2022)

Should All Proposals Be Treated Equally in Object Detection? - Yunsheng Li; Yinpeng Chen; Xiyang Dai; Dongdong Chen 001; Mengchen Liu; Pei Yu; Ying Jin; Lu Yuan; Zicheng Liu 001; Nuno Vasconcelos (ECCV (25), 2022)

Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition. - Bo Liu 043; Haoxiang Li; Hao Kang; Gang Hua 001; Nuno Vasconcelos (ECCV (24), 2022)

Meta-learning over time for destination prediction tasks. - Mark Tenzer; Zeeshan Rasheed; Khurram Shafique; Nuno Vasconcelos (SIGSPATIAL/GIS, 2022)

Single-Stage Visual Relationship Learning using Conditional Queries. - Alakh Desai; Tz-Ying Wu; Subarna Tripathi; Nuno Vasconcelos (NeurIPS, 2022)

DISCO: Adversarial Defense with Local Implicit Functions. - Chih-Hui Ho; Nuno Vasconcelos (NeurIPS, 2022)

Should All Proposals be Treated Equally in Object Detection? - Yunsheng Li; Yinpeng Chen; Xiyang Dai; Dongdong Chen 001; Mengchen Liu; Pei Yu; Jing Yin; Lu Yuan; Zicheng Liu 001; Nuno Vasconcelos (CoRR, 2022)

Dense Network Expansion for Class Incremental Learning. - Zhiyuan Hu; Yunsheng Li; Jiancheng Lyu; Dashan Gao 001; Nuno Vasconcelos (CVPR, 2023)

SViTT: Temporal Learning of Sparse Video-Text Transformers. - Yi Li 051; Kyle Min 001; Subarna Tripathi; Nuno Vasconcelos (CVPR, 2023)

Towards Professional Level Crowd Annotation of Expert Domain Data. - Pei Wang; Nuno Vasconcelos (CVPR, 2023)

Tire defect detection with limited annotation. - Chih-Hui Ho; Ziheng Huang; Nayeon Kim; You-Suk Bae; Nuno Vasconcelos (IRIACV, 2023)

Toward Unsupervised Realistic Visual Question Answering. - Yuwei Zhang 001; Chih-Hui Ho; Nuno Vasconcelos (ICCV, 2023)

ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs. - Jiteng Mu; Shen Sang; Nuno Vasconcelos; Xiaolong Wang 004 (ICCV, 2023)

Taxonomic Class Incremental Learning. - Yuzhao Chen; Zonghuan Li; Zhiyuan Hu; Nuno Vasconcelos (CoRR, 2023)

ProTeCt: Prompt Tuning for Hierarchical Consistency. - Tz-Ying Wu; Chih-Hui Ho; Nuno Vasconcelos (CoRR, 2023)

POP: Prompt Of Prompts for Continual Learning. - Zhiyuan Hu; Jiancheng Lyu; Dashan Gao 001; Nuno Vasconcelos (CoRR, 2023)

SCHEME: Scalable Channer Mixer for Vision Transformers. - Deepak Sridhar; Yunsheng Li; Nuno Vasconcelos (CoRR, 2023)

A Generalized Explanation Framework for Visualization of Deep Learning Model Predictions. - Pei Wang; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Towards Calibrated Multi-Label Deep Neural Networks. - Jiacheng Cheng; Nuno Vasconcelos (CVPR, 2024)

Long-Tailed Anomaly Detection with Learnable Class Names. - Chih-Hui Ho; Kuan-Chuan Peng; Nuno Vasconcelos (CVPR, 2024)

ProTeCt: Prompt Tuning for Taxonomic Open Set Classification. - Tz-Ying Wu; Chih-Hui Ho; Nuno Vasconcelos (CVPR, 2024)

Learning a Dynamic Privacy-Preserving Camera Robust to Inversion Attacks. - Jiacheng Cheng; Xiang Dai; Jia Wan 001; Nick Antipa; Nuno Vasconcelos (ECCV (70), 2024)

Improving Image Synthesis with Diffusion-Negative Sampling. - Alakh Desai; Nuno Vasconcelos (ECCV (53), 2024)

Editable Image Elements for Controllable Synthesis. - Jiteng Mu; Michaël Gharbi; Richard Zhang 001; Eli Shechtman; Nuno Vasconcelos; Xiaolong Wang 004; Taesung Park (ECCV (2), 2024)

Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models. - Deepak Sridhar; Nuno Vasconcelos (ECCV Workshops (18), 2024)

Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis. - Deepak Sridhar; Abhishek Peri; Rohith Rachala; Nuno Vasconcelos (NeurIPS, 2024)

Adapting Dual-encoder Vision-language Models for Paraphrased Retrieval. - Jiacheng Cheng; Hijung Valentina Shin; Nuno Vasconcelos; Bryan C. Russell; Fabian Caba Heilbron (CoRR, 2024)

Fairness and Bias Mitigation in Computer Vision: A Survey. - Sepehr Dehdashtian; Ruozhen He; Yi Li 051; Guha Balakrishnan; Nuno Vasconcelos; Vicente Ordonez; Vishnu Naresh Boddeti (CoRR, 2024)

Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning. - Zihao Zhao; Yijiang Li; Yuchen Yang; Wenqing Zhang; Nuno Vasconcelos; Yinzhi Cao (CoRR, 2024)

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features. - Anand Kumar; Jiteng Mu; Nuno Vasconcelos (CoRR, 2024)

Long-Tailed Anomaly Detection (LTAD) Dataset. - Chih-Hui Ho; Kuan-Chuan Peng; Nuno Vasconcelos (Zenodo, 2024)

EditAR: Unified Conditional Generation with Autoregressive Models. - Jiteng Mu; Nuno Vasconcelos; Xiaolong Wang 004 (CVPR, 2025)

Diffusion-based Data Augmentation for Object Counting Problems. - Zhen Wang; Yuelei Li; Jia Wan 001; Nuno Vasconcelos (ICASSP, 2025)

HQGS: High-Quality Novel View Synthesis with Gaussian Splatting in Degraded Scenes. - Xin Lin; Shi Luo; Xiaojun Shan; Xiaoyu Zhou; Chao Ren 002; Lu Qi; Ming-Hsuan Yang 001; Nuno Vasconcelos (ICLR, 2025)

Ego-VPA: Egocentric Video Understanding with Parameter-Efficient Adaptation. - Tz-Ying Wu; Kyle Min 001; Subarna Tripathi; Nuno Vasconcelos (WACV, 2025)

Achilles Heel of Distributed Multi-Agent Systems. - Yiting Zhang; Yijiang Li; Tianwei Zhao; Kaijie Zhu; Haohan Wang; Nuno Vasconcelos (CoRR, 2025)

EgoPrivacy: What Your First-Person Camera Says About You? - Yijiang Li; Genpei Zhang; Jiacheng Cheng; Yi Li 051; Xiaojun Shan; Dashan Gao 001; Jiancheng Lyu; Yuan Li; Ning Bi; Nuno Vasconcelos (CoRR, 2025)

Diffusion Models with Adaptive Negative Sampling Without External Resources. - Alakh Desai; Nuno Vasconcelos (CoRR, 2025)