Elisa Ricci

Orcid: 0000-0002-0228-1147

Affiliations:
  • Fondazione Bruno Kessler (FBK), Trento, Italy
  • University of Perugia, Italy (PhD 2008)


According to our database1, Elisa Ricci authored at least 199 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
3D Object Detection From Images for Autonomous Driving: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis.
CoRR, 2024

Democratizing Fine-grained Visual Recognition with Large Language Models.
CoRR, 2024

StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum.
Proceedings of the Advanced Information Networking and Applications, 2024

2023
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Interactive Neural Painting.
Comput. Vis. Image Underst., October, 2023

Self-training transformer for source-free domain adaptation.
Appl. Intell., July, 2023

Continual Attentive Fusion for Incremental Learning in Semantic Segmentation.
IEEE Trans. Multim., 2023

Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Novel class discovery meets foundation models for 3D semantic segmentation.
CoRR, 2023

Diversified in-domain synthesis with efficient fine-tuning for few-shot classification.
CoRR, 2023

Collaborative Neural Painting.
CoRR, 2023

Incremental Object-Based Novelty Detection with Feedback Loop.
CoRR, 2023

Delving into CLIP latent space for Video Anomaly Recognition.
CoRR, 2023

Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery.
CoRR, 2023

Plotting Behind the Scenes: Towards Learnable Game Engines.
CoRR, 2023

Simplifying Open-Set Video Domain Adaptation with Contrastive Learning.
CoRR, 2023

Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Overlap-guided Gaussian Mixture Models for Point Cloud Registration.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Vocabulary-free Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Recognizing Actions in Videos Under Domain Shift.
Proceedings of the 3rd International Conference on Image Processing and Vision Engineering, 2023

Rotation Synchronization via Deep Matrix Factorization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Exploring Diffusion Models for Unsupervised Video Anomaly Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023

Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023


On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Object-aware Gaze Target Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A soft nearest-neighbor framework for continual semi-supervised learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AutoLabel: CLIP-based framework for Open-Set Video Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Novel Class Discovery for 3D Point Cloud Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Semi-supervised learning made simple with self-supervised clustering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Quantum Multi-Model Fitting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Introduction to the Special Section on Learning Representations, Similarity, and Associations in Dynamic Multimedia Environments.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Probabilistic Graph Attention Network With Conditional Kernels for Pixel-Wise Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

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

solo-learn: A Library of Self-supervised Methods for Visual Representation Learning.
J. Mach. Learn. Res., 2022

Multi-frame Motion Segmentation by Combining Two-Frame Results.
Int. J. Comput. Vis., 2022

Dual-Head Contrastive Domain Adaptation for Video Action Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Unsupervised Domain Adaptation for Video Transformers in Action Recognition.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Multimodal Across Domains Gaze Target Detection.
Proceedings of the International Conference on Multimodal Interaction, 2022

Graph-Based Generative Face Anonymisation with Pose Preservation.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Uncertainty-Guided Source-Free Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Class-Incremental Novel Class Discovery.
Proceedings of the Computer Vision - ECCV 2022, 2022

Quantum Motion Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Playable Environments: Video Manipulation in Space and Time.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-Supervised Models are Continual Learners.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

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

TriGAN: image-to-image translation for multi-source domain adaptation.
Mach. Vis. Appl., 2021

Graph-based Generative Face Anonymisation with Pose Preservation.
CoRR, 2021

Global and Local Alignment Networks for Unpaired Image-to-Image Translation.
CoRR, 2021

Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation.
CoRR, 2021

Transformer-Based Source-Free Domain Adaptation.
CoRR, 2021

Transformers Solve the Limited Receptive Field for Monocular Depth Prediction.
CoRR, 2021

Variational Structured Attention Networks for Deep Visual Representation Learning.
CoRR, 2021

Deep Variational Generative Models for Audio-Visual Speech Separation.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Unified Objective for Novel Class Discovery.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Viewing Graph Solvability via Cycle Consistency.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Click to Move: Controlling Video Generation with Sparse Motion.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Neighborhood Contrastive Learning for Novel Class Discovery.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Playable Video Generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Learning How to Smile: Expression Video Generation With Conditional Adversarial Recurrent Nets.
IEEE Trans. Multim., 2020

Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound.
IEEE Trans. Medical Imaging, 2020

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

Progressive Fusion for Unsupervised Binocular Depth Estimation Using Cycled Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

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

Special Issue on Generating Realistic Visual Data of Human Behavior.
Int. J. Comput. Vis., 2020

Demystifying Pseudo-LiDAR for Monocular 3D Object Detection.
CoRR, 2020

Coping with Pandemics: Opportunities and Challenges for AI Multimedia in the "New Normal".
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

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

Motion-supervised Co-Part Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Multi-Domain Image-to-Image Translation with Adaptive Inference Graph.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Semantic-Guided Inpainting Network for Complex Urban Scenes Manipulation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Towards Generalization Across Depth for Monocular 3D Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning to Cluster Under Domain Shift.
Proceedings of the Computer Vision - ECCV 2020, 2020

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

Online Continual Learning Under Extreme Memory Constraints.
Proceedings of the Computer Vision - ECCV 2020, 2020

Online Depth Learning Against Forgetting in Monocular Videos.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

SF-UDA<sup>3D</sup>: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Increasing Image Memorability with Neural Style Transfer.
ACM Trans. Multim. Comput. Commun. Appl., 2019

Monocular Depth Estimation Using Multi-Scale Continuous CRFs as Sequential Deep Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Single-Stage Monocular 3D Object Detection with Virtual Cameras.
CoRR, 2019

Online Adaptation through Meta-Learning for Stereo Depth Estimation.
CoRR, 2019

First Order Motion Model for Image Animation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 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

Budget-Aware Adapters for Multi-Domain Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Animating Arbitrary Objects via Deep Motion Transfer.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs.
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

2018
Cross-Paced Representation Learning With Partial Curricula for Sketch-Based Image Retrieval.
IEEE Trans. Image Process., 2018

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

Joint Estimation of Human Pose and Conversational Groups from Social Scenes.
Int. J. Comput. Vis., 2018

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

Every Smile is Unique: Landmark-Guided Diverse Smile Generation.
CoRR, 2018

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

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

Every Smile Is Unique: Landmark-Guided Diverse Smile Generation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Enhancing Perceptual Attributes with Bayesian Style Generation.
Proceedings of the Computer Vision - ACCV 2018, 2018

Unsupervised Adversarial Depth Estimation Using Cycled Generative Networks.
Proceedings of the 2018 International Conference on 3D Vision, 2018

Multimodal analysis of free-standing conversational groups.
Proceedings of the Frontiers of Multimedia Research, 2018

2017
Learning Depth-Aware Deep Representations for Robotic Perception.
IEEE Robotics Autom. Lett., 2017

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

An automatic image-to-DEM alignment approach for annotating mountains pictures on a smartphone.
Mach. Vis. Appl., 2017

Detecting anomalous events in videos by learning deep representations of appearance and motion.
Comput. Vis. Image Underst., 2017

Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

How to Make an Image More Memorable?: A Deep Style Transfer Approach.
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

Depth-aware convolutional neural networks for accurate 3D pose estimation in RGB-D images.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

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

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

Multi-scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Learning Cross-Modal Deep Representations for Robust Pedestrian Detection.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Viraliency: Pooling Local Virality.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

SALSA: A Multimodal Dataset for the Automated Analysis of Free-Standing Social Interactions.
Proceedings of the Group and Crowd Behavior for Computer Vision, 1st Edition, 2017

Exploring Multitask and Transfer Learning Algorithms for Head Pose Estimation in Dynamic Multiview Scenarios.
Proceedings of the Group and Crowd Behavior for Computer Vision, 1st Edition, 2017

2016
Support Vector Machines.
Encyclopedia of Algorithms, 2016

Learning Personalized Models for Facial Expression Analysis and Gesture Recognition.
IEEE Trans. Multim., 2016

A Multi-Task Learning Framework for Head Pose Estimation under Target Motion.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

SALSA: A Novel Dataset for Multimodal Group Behavior Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Academic Coupled Dictionary Learning for Sketch-based Image Retrieval.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

A Deeply-Supervised Deconvolutional Network for Horizon Line Detection.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Emerging Topics in Learning from Noisy and Missing Data.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Multi-Paced Dictionary Learning for cross-domain retrieval and recognition.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Recognizing Emotions from Abstract Paintings Using Non-Linear Matrix Completion.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Egocentric Daily Activity Recognition via Multitask Clustering.
IEEE Trans. Image Process., 2015

Transferring knowledge across robots: A risk sensitive approach.
Robotics Auton. Syst., 2015

Jointly Estimating Interactions and Head, Body Pose of Interactors from Distant Social Scenes.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Predicting and Understanding Urban Perception with Convolutional Neural Networks.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Analyzing Free-standing Conversational Groups: A Multimodal Approach.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Inferring Painting Style with Multi-Task Dictionary Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Uncovering Interactions and Interactors: Joint Estimation of Head, Body Orientation and F-Formations from Surveillance Videos.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning Deep Representations of Appearance and Motion for Anomalous Event Detection.
Proceedings of the British Machine Vision Conference 2015, 2015

Online Multitask Learning for Machine Translation Quality Estimation.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Multitask Linear Discriminant Analysis for View Invariant Action Recognition.
IEEE Trans. Image Process., 2014

Evaluation of non-geometric methods for visual odometry.
Robotics Auton. Syst., 2014

Exploring Transfer Learning Approaches for Head Pose Classification from Multi-view Surveillance Images.
Int. J. Comput. Vis., 2014

We are not All Equal: Personalizing Models for Facial Expression Analysis with Transductive Parameter Transfer.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

A Multi-task Learning Framework for Time-continuous Emotion Estimation from Crowd Annotations.
Proceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia, 2014

Personalizing vision-based gestural interfaces for HRI with UAVs: a transfer learning approach.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Simultaneous Ground Metric Learning and Matrix Factorization with Earth Mover's Distance.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Evaluating Multi-task Learning for Multi-view Head-Pose Classification in Interactive Environments.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Clustered Multi-task Linear Discriminant Analysis for View Invariant Color-Depth Action Recognition.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Unsupervised Domain Adaptation for Personalized Facial Emotion Recognition.
Proceedings of the 16th International Conference on Multimodal Interaction, 2014

It's all about habits: Exploiting multi-task clustering for activities of daily living analysis.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Learning Contours for Automatic Annotations of Mountains Pictures on a Smartphone.
Proceedings of the International Conference on Distributed Smart Cameras, 2014

Exploiting transfer learning for personalized view invariant gesture recognition.
Proceedings of the IEEE International Conference on Acoustics, 2014

Personalizing a smartwatch-based gesture interface with transfer learning.
Proceedings of the 22nd European Signal Processing Conference, 2014

Recognizing Daily Activities from First-Person Videos with Multi-task Clustering.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
A Prototype Learning Framework Using EMD: Application to Complex Scenes Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Automated defect detection in uniform and structured fabrics using Gabor filters and PCA.
J. Vis. Commun. Image Represent., 2013

A smart watch-based gesture recognition system for assisting people with visual impairments.
Proceedings of the 3rd ACM international workshop on Interactive multimedia on mobile & portable devices, 2013

A transfer learning approach for multi-cue semantic place recognition.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Multi-task linear discriminant analysis for multi-view action recognition.
Proceedings of the IEEE International Conference on Image Processing, 2013

No Matter Where You Are: Flexible Graph-Guided Multi-task Learning for Multi-view Head Pose Classification under Target Motion.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
A discriminative approach for appearance based loop closing.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Enhanced semantic descriptors for functional scene categorization.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

A Multiple Kernel Learning framework for detecting altered fingerprints.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Boosting-based transfer learning for multi-view head-pose classification from surveillance videos.
Proceedings of the 20th European Signal Processing Conference, 2012

Exploiting Sparse Representations for Robust Analysis of Noisy Complex Video Scenes.
Proceedings of the Computer Vision - ECCV 2012, 2012

An Adaptation Framework for Head-Pose Classification in Dynamic Multi-view Scenarios.
Proceedings of the Computer Vision, 2012

2011
Sorting Atomic Activities for Discovering Spatio-temporal Patterns in Dynamic Scenes.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

Earth mover's prototypes: A convex learning approach for discovering activity patterns in dynamic scenes.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Space speaks: towards socially and personality aware visual surveillance.
Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis, 2010

Tracking Multiple People with Illumination Maps.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Learning Pedestrian Trajectories with Kernels.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Learning large margin likelihoods for realtime head pose tracking.
Proceedings of the International Conference on Image Processing, 2009

Dynamic Partitioned Sampling For Tracking With Discriminative Features.
Proceedings of the British Machine Vision Conference, 2009

2008
Large Margin Methods for Structured Output Prediction.
Proceedings of the Computational Intelligence Paradigms, Innovative Applications, 2008

Support Vector Machines.
Proceedings of the Encyclopedia of Algorithms - 2008 Edition, 2008

Recurrent Correlation Associative Memories: A Feature Space Perspective.
IEEE Trans. Neural Networks, 2008

2007
Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification.
IEEE Trans. Medical Imaging, 2007

Cellular Neural Networks With Virtual Template Expansion for Retinal Vessel Segmentation.
IEEE Trans. Circuits Syst. II Express Briefs, 2007

Learning to Align: A Statistical Approach.
Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Discriminative Sequence Labeling by Z-Score Optimization.
Proceedings of the Machine Learning: ECML 2007, 2007

2006
Analog neural network for support vector machine learning.
IEEE Trans. Neural Networks, 2006

Associative Memory Design Using Support Vector Machines.
IEEE Trans. Neural Networks, 2006

SVM-based CDMA receiver with incremental active learning.
Neurocomputing, 2006

Improved pruning strategy for radial basis function networks with dynamic decay adjustment.
Neurocomputing, 2006

Reduced complexity RBF classifiers with support vector centres and dynamic decay adjustment.
Neurocomputing, 2006

2004
On the Use of Neural Networks to Solve the Reverse Modelling Problem for the Quantification of Dopant Profiles Extracted by Scanning Probe Microscopy Techniques.
Microelectron. Reliab., 2004


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