| 2009 |
|---|
| 66 | EE | Gustavo Carneiro,
Nuno Vasconcelos:
Minimum Bayes error features for visual recognition.
Image Vision Comput. 27(1-2): 131-140 (2009) |
| 2008 |
|---|
| 65 | EE | Vijay Mahadevan,
Nuno Vasconcelos:
Background subtraction in highly dynamic scenes.
CVPR 2008 |
| 64 | EE | Antoni B. Chan,
Zhang-Sheng John Liang,
Nuno Vasconcelos:
Privacy preserving crowd monitoring: Counting people without people models or tracking.
CVPR 2008 |
| 63 | EE | Nikhil Rasiwasia,
Nuno Vasconcelos:
Scene classification with low-dimensional semantic spaces and weak supervision.
CVPR 2008 |
| 62 | EE | Sunhyoung Han,
Nuno Vasconcelos:
Object-Based Regions of Interest for Image Compression.
DCC 2008: 132-141 |
| 61 | EE | Sunhyoung Han,
Nuno Vasconcelos:
Complex discriminant features for object classification.
ICIP 2008: 1700-1703 |
| 60 | EE | Nikhil Rasiwasia,
Nuno Vasconcelos:
A systematic study of the role of context on image classification.
ICIP 2008: 1720-1723 |
| 59 | EE | Nikhil Rasiwasia,
Nuno Vasconcelos:
Image retrieval using query by contextual example.
Multimedia Information Retrieval 2008: 164-171 |
| 58 | EE | Hamed Masnadi-Shirazi,
Nuno Vasconcelos:
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost.
NIPS 2008: 1049-1056 |
| 57 | EE | Nuno Vasconcelos:
From Pixels to Semantic Spaces: Advances in Content-Based Image Retrieval.
IEEE Computer 40(7): 20-26 (2008) |
| 56 | EE | Antoni B. Chan,
Nuno Vasconcelos:
Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures.
IEEE Trans. Pattern Anal. Mach. Intell. 30(5): 909-926 (2008) |
| 2007 |
|---|
| 55 | EE | Antoni B. Chan,
Nuno Vasconcelos:
Classifying Video with Kernel Dynamic Textures.
CVPR 2007 |
| 54 | EE | Dashan Gao,
Nuno Vasconcelos:
Discriminant Interest Points are Stable.
CVPR 2007 |
| 53 | EE | Dashan Gao,
Nuno Vasconcelos:
Bottom-up saliency is a discriminant process.
ICCV 2007: 1-6 |
| 52 | EE | Hamed Masnadi-Shirazi,
Nuno Vasconcelos:
High Detection-rate Cascades for Real-Time Object Detection.
ICCV 2007: 1-6 |
| 51 | EE | Antoni B. Chan,
Nuno Vasconcelos,
Gert R. G. Lanckriet:
Direct convex relaxations of sparse SVM.
ICML 2007: 145-153 |
| 50 | EE | Hamed Masnadi-Shirazi,
Nuno Vasconcelos:
Asymmetric boosting.
ICML 2007: 609-619 |
| 49 | EE | Dashan Gao,
Vijay Mahadevan,
Nuno Vasconcelos:
The discriminant center-surround hypothesis for bottom-up saliency.
NIPS 2007 |
| 48 | EE | Dashan Gao,
Nuno Vasconcelos:
An Experimental Comparison of Three Guiding Principles for the Detection of Salient Image Locations: Stability, Complexity, and Discrimination.
WAPCV 2007: 184-197 |
| 47 | EE | Gustavo Carneiro,
Antoni B. Chan,
Pedro J. Moreno,
Nuno Vasconcelos:
Supervised Learning of Semantic Classes for Image Annotation and Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 394-410 (2007) |
| 46 | EE | Nikhil Rasiwasia,
Pedro J. Moreno,
Nuno Vasconcelos:
Bridging the Gap: Query by Semantic Example.
IEEE Transactions on Multimedia 9(5): 923-938 (2007) |
| 2006 |
|---|
| 45 | EE | Nikhil Rasiwasia,
Nuno Vasconcelos,
Pedro J. Moreno:
Query by Semantic Example.
CIVR 2006: 51-60 |
| 44 | EE | Manuela Vasconcelos,
Nuno Vasconcelos,
Gustavo Carneiro:
Weakly Supervised Top-down Image Segmentation.
CVPR (1) 2006: 1001-1006 |
| 43 | EE | Sunhyoung Han,
Nuno Vasconcelos:
Image Compression using Object-Based Regions of Interest.
ICIP 2006: 3097-3100 |
| 2005 |
|---|
| 42 | EE | Gustavo Carneiro,
Nuno Vasconcelos:
Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction.
CRV 2005: 253-260 |
| 41 | EE | Antoni B. Chan,
Nuno Vasconcelos:
Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes.
CVPR (1) 2005: 846-851 |
| 40 | EE | Gustavo Carneiro,
Nuno Vasconcelos:
Formulating Semantic Image Annotation as a Supervised Learning Problem.
CVPR (2) 2005: 163-168 |
| 39 | EE | Dashan Gao,
Nuno Vasconcelos:
Integrated Learning of Saliency, Complex Features, and Object Detectors from Cluttered Scenes.
CVPR (2) 2005: 282-287 |
| 38 | EE | Antoni B. Chan,
Nuno Vasconcelos:
Mixtures of Dynamic Textures.
ICCV 2005: 641-647 |
| 37 | EE | Antoni B. Chan,
Nuno Vasconcelos:
Layered Dynamic Textures.
NIPS 2005 |
| 36 | EE | Gustavo Carneiro,
Nuno Vasconcelos:
A database centric view of semantic image annotation and retrieval.
SIGIR 2005: 559-566 |
| 35 | EE | Nuno Vasconcelos,
Andrew Lippman:
A multiresolution manifold distance for invariant image similarity.
IEEE Transactions on Multimedia 7(1): 127-142 (2005) |
| 34 | EE | Nuno Vasconcelos:
Content-Based Image and Video Retrieval.
Signal Processing 85(2): 231-232 (2005) |
| 2004 |
|---|
| 33 | EE | Nuno Vasconcelos,
Manuela Vasconcelos:
Scalable Discriminant Feature Selection for Image Retrieval and Recognition.
CVPR (2) 2004: 770-775 |
| 32 | EE | Nuno Vasconcelos,
Purdy Ho,
Pedro J. Moreno:
The Kullback-Leibler Kernel as a Framework for Discriminant and Localized Representations for Visual Recognition.
ECCV (3) 2004: 430-441 |
| 31 | EE | Dashan Gao,
Nuno Vasconcelos:
Discriminant Saliency for Visual Recognition from Cluttered Scenes.
NIPS 2004 |
| 30 | | Nuno Vasconcelos:
On the efficient evaluation of probabilistic similarity functions for image retrieval.
IEEE Transactions on Information Theory 50(7): 1482-1496 (2004) |
| 2003 |
|---|
| 29 | EE | Nuno Vasconcelos:
Feature Selection by Maximum Marginal Diversity: optimality and implications for visual recognition.
CVPR (1) 2003: 762-772 |
| 28 | | Nuno Vasconcelos:
A family of information-theoretic algorithms for low-complexity discriminant feature selection in image retrieval.
ICIP (3) 2003: 741-744 |
| 27 | EE | Pedro J. Moreno,
Purdy Ho,
Nuno Vasconcelos:
A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications.
NIPS 2003 |
| 2002 |
|---|
| 26 | EE | Nuno Vasconcelos,
Gustavo Carneiro:
What Is the Role of Independence for Visual Recognition?
ECCV (1) 2002: 297-311 |
| 25 | | Nuno Vasconcelos:
Exploiting group structure to improve retrieval accuracy and speed in image databases.
ICIP (1) 2002: 980-983 |
| 24 | EE | Nuno Vasconcelos:
Feature Selection by Maximum Marginal Diversity.
NIPS 2002: 1351-1358 |
| 2001 |
|---|
| 23 | EE | Nuno Vasconcelos:
Image Indexing with Mixture Hierarchies.
CVPR (1) 2001: 3-10 |
| 22 | | Nuno Vasconcelos:
On the Complexity of Probabilistic Image Retrieval.
ICCV 2001: 400-407 |
| 21 | EE | Nuno Vasconcelos,
Murat Kunt:
Content-based retrieval from image databases: current solutions and future directions.
ICIP (3) 2001: 6-9 |
| 20 | EE | Nuno Vasconcelos,
Andrew Lippman:
Empirical Bayesian Motion Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell. 23(2): 217-221 (2001) |
| 2000 |
|---|
| 19 | EE | Nuno Vasconcelos,
Andrew Lippman:
A Probabilistic Architecture for Content-Based Image Retrieval.
CVPR 2000: 1216-1221 |
| 18 | EE | Nuno Vasconcelos,
Andrew Lippman:
Learning Over Multiple Temporal Scales in Image Databases.
ECCV (1) 2000: 33-47 |
| 17 | EE | Nuno Vasconcelos,
Andrew Lippman:
A Unifying View of Image Similarity.
ICPR 2000: 1038-1041 |
| 16 | | Nuno Vasconcelos,
Andrew Lippman:
Feature Representations for Image Retrieval: Beyond the Color Histogram.
IEEE International Conference on Multimedia and Expo (II) 2000: 899-902 |
| 15 | | Nuno Vasconcelos,
Andrew Lippman:
Bayesian Video Shot Segmentation.
NIPS 2000: 1009-1015 |
| 14 | EE | Nuno Vasconcelos,
Andrew Lippman:
Statistical models of video structure for content analysis and characterization.
IEEE Transactions on Image Processing 9(1): 3-19 (2000) |
| 1999 |
|---|
| 13 | EE | Nuno Vasconcelos,
Andrew Lippman:
Learning from User Feedback in Image Retrieval Systems.
NIPS 1999: 977-986 |
| 1998 |
|---|
| 12 | EE | Nuno Vasconcelos,
Andrew Lippman:
A Spatiotemporal Motion Model for Video Summarization.
CVPR 1998: 361-366 |
| 11 | EE | Nuno Vasconcelos,
Andrew Lippman:
A Bayesian Framework for Semantic Content Characterization.
CVPR 1998: 566-571 |
| 10 | EE | Nuno Vasconcelos,
Andrew Lippman:
A Bayesian Framework for Content-Based Indexing and Retrieval.
Data Compression Conference 1998: 580 |
| 9 | | Nuno Vasconcelos,
Andrew Lippman:
Bayesian Modeling of Video Editing and Structure: Semantic Features for Video Summarization and Browsing.
ICIP (3) 1998: 153-157 |
| 8 | EE | Nuno Vasconcelos,
Andrew Lippman:
Learning Mixture Hierarchies.
NIPS 1998: 606-612 |
| 1997 |
|---|
| 7 | EE | Nuno Vasconcelos,
Andrew Lippman:
Empirical Bayesian EM-based Motion Segmentation.
CVPR 1997: 527- |
| 6 | | Nuno Vasconcelos,
Andrew Lippman:
Library-based Coding: a Representation for Efficient Video Compression and Retrieval.
Data Compression Conference 1997: 121-130 |
| 5 | EE | Nuno Vasconcelos,
Andrew Lippman:
Towards Semantically Meaningful Feature Spaces for the Characterization of Video Content.
ICIP (1) 1997: 25-28 |
| 4 | EE | Nuno Vasconcelos,
Frédéric Dufaux:
Pre and Post-Filtering for Low Bit-Rate Video Coding.
ICIP (1) 1997: 291-294 |
| 3 | EE | Nuno Vasconcelos,
Andrew Lippman:
Content-Based Pre-Indexed Video.
ICIP (2) 1997: 542-545 |
| 2 | | Nuno Vasconcelos,
Andrew Lippman:
Multiresolution Tangent Distance for Affine-invariant Classification.
NIPS 1997 |
| 1995 |
|---|
| 1 | EE | Nuno Vasconcelos,
Andrew Lippman:
Spatiotemporal model-based optic flow estimation.
ICIP 1995: 2201-2204 |
