Barbara Caputo

Orcid: 0000-0001-7169-0158

Affiliations:
  • University of Rome La Sapienza, Italy


According to our database1, Barbara Caputo authored at least 226 papers between 1999 and 2024.

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Bibliography

2024
JIST: Joint Image and Sequence Training for Sequential Visual Place Recognition.
IEEE Robotics Autom. Lett., February, 2024

2023
Bringing Online Egocentric Action Recognition Into the Wild.
IEEE Robotics Autom. Lett., April, 2023

FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving.
CoRR, 2023

Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation.
CoRR, 2023

EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge: Mixed Sequences Prediction.
CoRR, 2023

Hierarchical Instance Mixing Across Domains in Aerial Segmentation.
IEEE Access, 2023

Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

FreeREA: Training-Free Evolution-based Architecture Search.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Test Time Adaptation for Egocentric Vision.
Proceedings of the Italia Intelligenza Artificiale, 2023

LCMV: Lightweight Classification Module for Video Domain Adaptation.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Entropic Score metric: Decoupling Topology and Size in Training-free NAS.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Divide&Classify: Fine-Grained Classification for City-Wide Visual Place Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unmasking Anomalies in Road-Scene Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

What can a cook in Italy teach a mechanic in India? Action Recognition Generalisation Over Scenarios and Locations.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Are Local Features All You Need for Cross-Domain Visual Place Recognition?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning Sequential Descriptors for Sequence-Based Visual Place Recognition.
IEEE Robotics Autom. Lett., 2022

Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Self-Supervised Learning Across Domains.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Adaptive-Attentive Geolocalization From Few Queries: A Hybrid Approach.
Frontiers Comput. Sci., 2022

Self-supervision & meta-learning for one-shot unsupervised cross-domain detection.
Comput. Vis. Image Underst., 2022

PoliTO-IIT-CINI Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition.
CoRR, 2022

Detecting the unknown in Object Detection.
CoRR, 2022

Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Adversarial Branch Architecture Search for Unsupervised Domain Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Test-Time Adaptation for Egocentric Action Recognition.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Learning Semantics for Visual Place Recognition Through Multi-scale Attention.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Relaxing the Forget Constraints in Open World Recognition.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Toward Human-Robot Cooperation: Unsupervised Domain Adaptation for Egocentric Action Recognition.
Proceedings of the Human-Friendly Robotics 2022, 2022

Improving Generalization in Federated Learning by Seeking Flat Minima.
Proceedings of the Computer Vision - ECCV 2022, 2022

Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

E<sup>2</sup>(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Modeling Missing Annotations for Incremental Learning in Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Incremental Learning in Semantic Segmentation from Image Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Visual Geo-localization Benchmark.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Rethinking Visual Geo-localization for Large-Scale Applications.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
DA4Event: Towards Bridging the Sim-to-Real Gap for Event Cameras Using Domain Adaptation.
IEEE Robotics Autom. Lett., 2021

On the Challenges of Open World Recognition Under Shifting Visual Domains.
IEEE Robotics Autom. Lett., 2021

Inferring Latent Domains for Unsupervised Deep Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

MultiDIAL: Domain Alignment Layers for (Multisource) Unsupervised Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Reimagine BiSeNet for Real-Time Domain Adaptation in Semantic Segmentation.
CoRR, 2021

On the Challenges of Open World Recognitionunder Shifting Visual Domains.
CoRR, 2021

PoliTO-IIT Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition.
CoRR, 2021

Self-Supervision & Meta-Learning for One-Shot Unsupervised Cross-Domain Detection.
CoRR, 2021

Towards Fairness Certification in Artificial Intelligence.
CoRR, 2021

Cross-Domain First Person Audio-Visual Action Recognition through Relative Norm Alignment.
CoRR, 2021

A Survey on Deep Visual Place Recognition.
IEEE Access, 2021

Adaptive-Attentive Geolocalization from few queries: a hybrid approach.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Viewpoint Invariant Dense Matching for Visual Geolocalization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Towards Recognizing New Semantic Concepts in New Visual Domains.
Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, 2021

A Closer Look at Self-Training for Zero-Label Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Detecting Anomalies in Semantic Segmentation With Prototypes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

N-ROD: A Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Cluster-Driven Graph Federated Learning Over Multiple Domains.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Prototype-based Incremental Few-Shot Segmentation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Unsupervised Domain Adaptation Through Inter-Modal Rotation for RGB-D Object Recognition.
IEEE Robotics Autom. Lett., 2020

Boosting Deep Open World Recognition by Clustering.
IEEE Robotics Autom. Lett., 2020

IDDA: A Large-Scale Multi-Domain Dataset for Autonomous Driving.
IEEE Robotics Autom. Lett., 2020

Boosting binary masks for multi-domain learning through affine transformations.
Mach. Vis. Appl., 2020

A Response Retrieval Approach for Dialogue Using a Multi-Attentive Transformer.
CoRR, 2020

A Few Guidelines for Incremental Few-Shot Segmentation.
CoRR, 2020

Joint Encoding of Appearance and Motion Features with Self-supervision for First Person Action Recognition.
CoRR, 2020

Shape Consistent 2D Keypoint Estimation under Domain Shift.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Self-Supervised Joint Encoding of Motion and Appearance for First Person Action Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Towards Recognizing Unseen Categories in Unseen Domains.
Proceedings of the Computer Vision - ECCV 2020, 2020

One-Shot Unsupervised Cross-Domain Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Modeling the Background for Incremental Learning in Semantic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Recurrent Convolutional Fusion for RGB-D Object Recognition.
IEEE Robotics Autom. Lett., 2019

Learning to Generalize One Sample at a Time with Self-Supervision.
CoRR, 2019

The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition.
Proceedings of the International Conference on Robotics and Automation, 2019

Towards Multi-source Adaptive Semantic Segmentation.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Automatic Creation of Large Scale Object Databases from Web Resources: A Case Study in Robot Vision.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Discovering Latent Domains for Unsupervised Domain Adaptation Through Consistency.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Hallucinating Agnostic Images to Generalize Across Domains.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Domain Generalization by Solving Jigsaw Puzzles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Structured Domain Adaptation for 3D Keypoint Estimation.
Proceedings of the 2019 International Conference on 3D Vision, 2019

Image Retrieval Evaluation in Specific Domains.
Proceedings of the Information Retrieval Evaluation in a Changing World, 2019

2018
Robust Place Categorization With Deep Domain Generalization.
IEEE Robotics Autom. Lett., 2018

(DE)<sup>2</sup>CO: Deep Depth Colorization.
IEEE Robotics Autom. Lett., 2018

Looking beyond appearances: Synthetic training data for deep CNNs in re-identification.
Comput. Vis. Image Underst., 2018

Recurrent Convolutional Fusion for RGB-D Object Recognition.
CoRR, 2018

Agnostic Domain Generalization.
CoRR, 2018

Multimodal Deep Domain Adaptation.
CoRR, 2018

Adding New Tasks to a Single Network with Weight Trasformations using Binary Masks.
CoRR, 2018

Kitting in the Wild through Online Domain Adaptation.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Recognizing Objects in-the-Wild: Where do we Stand?
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Adaptive Deep Learning Through Visual Domain Localization.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

DeepNCM: Deep Nearest Class Mean Classifiers.
Proceedings of the 6th International Conference on Learning Representations, 2018

Best Sources Forward: Domain Generalization through Source-Specific Nets.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Adding New Tasks to a Single Network with Weight Transformations Using Binary Masks.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Domain Generalization with Domain-Specific Aggregation Modules.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Boosting Domain Adaptation by Discovering Latent Domains.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

The Difficulty of Recognizing Grasps from sEMG during Activities of Daily Living.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018

2017
A Deeper Look at Dataset Bias.
Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

Learning Deep NBNN Representations for Robust Place Categorization.
IEEE Robotics Autom. Lett., 2017

Scalable greedy algorithms for transfer learning.
Comput. Vis. Image Underst., 2017

Visual Cues to Improve Myoelectric Control of Upper Limb Prostheses.
CoRR, 2017

(DE)<sup>2</sup> CO: Deep Depth Colorization.
CoRR, 2017

Learning deep visual object models from noisy web data: How to make it work.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Bridging Between Computer and Robot Vision Through Data Augmentation: A Case Study on Object Recognition.
Proceedings of the Computer Vision Systems - 11th International Conference, 2017

Semi-automatic Training of an Object Recognition System in Scene Camera Data Using Gaze Tracking and Accelerometers.
Proceedings of the Computer Vision Systems - 11th International Conference, 2017

Semantic web-mining and deep vision for lifelong object discovery.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

A deep representation for depth images from synthetic data.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data.
Proceedings of the International Conference on Rehabilitation Robotics, 2017

Adaptive learning to speed-up control of prosthetic hands: A few things everybody should know.
Proceedings of the International Conference on Rehabilitation Robotics, 2017

Megane Pro: Myo-electricity, visual and gaze tracking data acquisitions to improve hand prosthetics.
Proceedings of the International Conference on Rehabilitation Robotics, 2017

Just DIAL: DomaIn Alignment Layers for Unsupervised Domain Adaptation.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

On the Importance of Domain Adaptation in Texture Classification.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Deep Depth Domain Adaptation: A Case Study.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

AutoDIAL: Automatic Domain Alignment Layers.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Making Sense of Indoor Spaces Using Semantic Web Mining and Situated Robot Perception.
Proceedings of the Semantic Web: ESWC 2017 Satellite Events - ESWC 2017 Satellite Events, Portorož, Slovenia, May 28, 2017

2016
Online Open World Recognition.
CoRR, 2016

Active Learning for Online Recognition of Human Activities from Streaming Videos.
CoRR, 2016

Leveraging over intact priors for boosting control and dexterity of prosthetic hands by amputees.
CoRR, 2016

Learning the Roots of Visual Domain Shift.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

When Naïve Bayes Nearest Neighbors Meet Convolutional Neural Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Where Are We After Five Editions?: Robot Vision Challenge, a Competition that Evaluates Solutions for the Visual Place Classification Problem.
IEEE Robotics Autom. Mag., 2015

When Naïve Bayes Nearest Neighbours Meet Convolutional Neural Networks.
CoRR, 2015

Towards Learning Free Naive Bayes Nearest Neighbor-Based Domain Adaptation.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Transfer Learning Through Greedy Subset Selection.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

A Deeper Look at Dataset Bias.
Proceedings of the Pattern Recognition - 37th German Conference, 2015

2014
Learning Categories From Few Examples With Multi Model Knowledge Transfer.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Stable myoelectric control of a hand prosthesis using non-linear incremental learning.
Frontiers Neurorobotics, 2014

Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography.
Frontiers Neurorobotics, 2014

A Testbed for Cross-Dataset Analysis.
CoRR, 2014

Multi-source Adaptive Learning for Fast Control of Prosthetics Hand.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Scene Recognition with Naive Bayes Non-linear Learning.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Classification of hand movements in amputated subjects by sEMG and accelerometers.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Natural control capabilities of robotic hands by hand amputated subjects.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Overview of the ImageCLEF 2014 Domain Adaptation Task.
Proceedings of the Working Notes for CLEF 2014 Conference, 2014

ImageCLEF 2014: Overview and Analysis of the Results.
Proceedings of the Information Access Evaluation. Multilinguality, Multimodality, and Interaction, 2014

2013
Improving Control of Dexterous Hand Prostheses Using Adaptive Learning.
IEEE Trans. Robotics, 2013

Exploiting accelerometers to improve movement classification for prosthetics.
Proceedings of the IEEE 13th International Conference on Rehabilitation Robotics, 2013

Frustratingly Easy NBNN Domain Adaptation.
Proceedings of the IEEE International Conference on Computer Vision, 2013

From N to N+1: Multiclass Transfer Incremental Learning.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Overview of the ImageCLEF 2013 Robot Vision Task.
Proceedings of the Working Notes for CLEF 2013 Conference , 2013

ImageCLEF 2013: The Vision, the Data and the Open Challenges.
Proceedings of the Information Access Evaluation. Multilinguality, Multimodality, and Visualization, 2013

Multiclass Latent Locally Linear Support Vector Machines.
Proceedings of the Asian Conference on Machine Learning, 2013

2012
Towards a Quantitative Measure of Rareness.
Proceedings of the Detection and Identification of Rare Audiovisual Cues, 2012

DIRAC: Detection and Identification of Rare Audio-Visual Events.
Proceedings of the Detection and Identification of Rare Audiovisual Cues, 2012

Multi Kernel Learning with Online-Batch Optimization.
J. Mach. Learn. Res., 2012

On the challenge of classifying 52 hand movements from surface electromyography.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Baseline Multimodal Place Classifier for the 2012 Robot Vision Task.
Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012

Overview of the ImageCLEF 2012 Robot Vision Task.
Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012

Leveraging over prior knowledge for online learning of visual categories.
Proceedings of the British Machine Vision Conference, 2012

Indoor Scene Recognition using Task and Saliency-driven Feature Pooling.
Proceedings of the British Machine Vision Conference, 2012

Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
Using Object Affordances to Improve Object Recognition.
IEEE Trans. Auton. Ment. Dev., 2011

Towards semi-supervised learning of semantic spatial concepts.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Transferring activities: Updating human behavior analysis.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Multiclass transfer learning from unconstrained priors.
Proceedings of the IEEE International Conference on Computer Vision, 2011

A Large-Scale Database of Images and Captions for Automatic Face Naming.
Proceedings of the British Machine Vision Conference, 2011

2010
Guest Editorial Representations and Architectures for Cognitive Systems.
IEEE Trans. Auton. Ment. Dev., 2010

A realistic benchmark for visual indoor place recognition.
Robotics Auton. Syst., 2010

On-line independent support vector machines.
Pattern Recognit., 2010

The more you learn, the less you store: Memory-controlled incremental SVM for visual place recognition.
Image Vis. Comput., 2010

Classifying materials in the real world.
Image Vis. Comput., 2010

Learning methods for melanoma recognition.
Int. J. Imaging Syst. Technol., 2010

Multi-modal Semantic Place Classification.
Int. J. Robotics Res., 2010

Object recognition using visuo-affordance maps.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Overview of the ImageCLEF@ICPR 2010 Robot Vision Track.
Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010

Safety in numbers: Learning categories from few examples with multi model knowledge transfer.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Online-batch strongly convex Multi Kernel Learning.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

OM-2: An online multi-class Multi-Kernel Learning algorithm Luo Jie.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

The Robot Vision Track at ImageCLEF 2010.
Proceedings of the CLEF 2010 LABs and Workshops, 2010

A Multi Cue Discriminative Approach to Semantic Place Classification.
Proceedings of the CLEF 2010 LABs and Workshops, 2010

The Robot Vision Task.
Proceedings of the ImageCLEF, Experimental Evaluation in Visual Information Retrieval, 2010

2009
Bounded Kernel-Based Online Learning.
J. Mach. Learn. Res., 2009

COLD: The CoSy Localization Database.
Int. J. Robotics Res., 2009

Who's Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Overview of the First Workshop on Medical Content-Based Retrieval for Clinical Decision Support at MICCAI 2009.
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2009

You live, you learn, you forget: Continuous learning of visual places with a forgetting mechanism.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Model adaptation with least-squares SVM for adaptive hand prosthetics.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents.
Proceedings of the Image Analysis and Processing, 2009

Overview of the CLEF 2009 Medical Image Annotation Track.
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009

Overview of the CLEF 2009 Robot Vision Track.
Proceedings of the Multilingual Information Access Evaluation II. Multimedia Experiments, 2009

Overview of the CLEF 2009 Robot Vision Track.
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009

The More You Know, the Less You Learn: From Knowledge Transfer to One-shot Learning of Object Categories.
Proceedings of the British Machine Vision Conference, 2009

An Online Framework for Learning Novel Concepts over Multiple Cues.
Proceedings of the Computer Vision, 2009

2008
Discriminative cue integration for medical image annotation.
Pattern Recognit. Lett., 2008

Object Category Detection Using Audio-Visual Cues.
Proceedings of the Computer Vision Systems, 6th International Conference, 2008

Towards robust place recognition for robot localization.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

SVM-based discriminative accumulation scheme for place recognition.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

The projectron: a bounded kernel-based Perceptron.
Proceedings of the Machine Learning, 2008

The DIRAC AWEAR audio-visual platform for detection of unexpected and incongruent events.
Proceedings of the 10th International Conference on Multimodal Interfaces, 2008

CLEF2008 Image Annotation Task: an SVM Confidence-Based Approach.
Proceedings of the Working Notes for CLEF 2008 Workshop co-located with the 12th European Conference on Digital Libraries (ECDL 2008) , 2008

An SVM Confidence-Based Approach to Medical Image Annotation.
Proceedings of the Evaluating Systems for Multilingual and Multimodal Information Access, 2008

2007
Local velocity-adapted motion events for spatio-temporal recognition.
Comput. Vis. Image Underst., 2007

Confidence-based cue integration for visual place recognition.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Incremental learning for place recognition in dynamic environments.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

CLEF2007: Image Annotation Task: an SVM-based Cue Integration Approach.
Proceedings of the Working Notes for CLEF 2007 Workshop co-located with the 11th European Conference on Digital Libraries (ECDL 2007), 2007

Cue Integration for Medical Image Annotation.
Proceedings of the Advances in Multilingual and Multimodal Information Retrieval, 2007

2006
A spin glass model of a Markov random field.
Int. J. Imaging Syst. Technol., 2006

Kernel Methods for Melanoma Recognition.
Proceedings of the Ubiquity: Technologies for Better Health in Aging Societies, 2006

A Discriminative Approach to Robust Visual Place Recognition.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Melanoma Recognition Using Representative and Discriminative Kernel Classifiers.
Proceedings of the Computer Vision Approaches to Medical Image Analysis, 2006

2005
Integrating Representative and Discriminative Models for Object Category Detection.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Class-Specific Material Categorisation.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004
A new kernel method for object recognition:spin glass-Markov random fields.
PhD thesis, 2004

Recognizing Human Actions: A Local SVM Approach.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Object Categorization via Local Kernels.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

On the Significance of Real-World Conditions for Material Classification.
Proceedings of the Computer Vision, 2004

Cue Integration through Discriminative Accumulation.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Recognition with Local Features: the Kernel Recipe.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002
An Ultrametric Approach to Object Recognition.
Proceedings of the 7th International Fall Workshop on Vision, Modeling, and Visualization, 2002

Combining Color and Shape Information for Appearance-Based Object Recognition Using Ultrametric Spin Glass-Markov Random Fields.
Proceedings of the Pattern Recognition with Support Vector Machines, 2002

How to Combine Color and Shape Information for 3D Object Recognition: Kernels do the Trick.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Microcalcification Detection Using a Kernel Bayes Classifier.
Proceedings of the Medical Data Analysis, Third International Symposium, 2002

To Each According to its Need: Kernel Class Specific Classifiers.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Robust Appearance-Based Object Recognition Using a Fully Connected Markov Random Field.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Storage Capacity of Kernel Associative Memories.
Proceedings of the Artificial Neural Networks, 2002

2001
A Novel Probabilistic Model for 3D Object Recognition: Spin-Glass Markov Random Fields.
Proceedings of the 6th International Fall Workshop on Vision, Modeling, and Visualization, 2001

Digital mammography: a weak continuity texture representation for detection of microcalcifications.
Proceedings of the Medical Imaging 2001: Image Processing, 2001

2000
Digital Mammography: Gabor Filters for Detection of Microcalcifications.
Proceedings of the 5th International Fall Workshop on Vision Modeling and Visualization, 2000

1999
Tutorial 5 - Integrated Environments for Cultural HeritageKnowledgeIntegrated Environments for Cultural HeritageKnowledge.
Proceedings of the 20th Annual Conference of the European Association for Computer Graphics, 1999


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