Publications (all)

2017

  • L. Porzi, S. Rota Bulò, A. Peñate-Sánchez, E. Ricci, F. Moreno-Noguer, “Learning Depth-aware Deep Representations for Robotic Perception”, IEEE Robotics and Automation Letters, 2017.
  • M. Mancini, S. Rota Bulò, E. Ricci, B. Caputo, “Learning Deep NBNN Representations for Robust Place Categorization”, IEEE Robotics and Automation Letters, 2017.
  • D. Xu, Y. Yan, E. Ricci, N. Sebe. “Detecting Anomalous Events in Videos by Learning Deep Representations of Appearance and Motion”, Computer Vision and Image Understanding (CVIU), 2017.
  • L. Porzi, S. Rota Bulò, O. Lanz, P. Valigi, E. Ricci, “An automatic image-to-DEM alignment approach for annotating mountains pictures on a smartphone”, Machine Vision and Applications, 2017.
  • D.Xu, E. Ricci, W. Ouyang, X. Wang, N. Sebe, “Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation”, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  • D.Xu, W. Ouyang, E. Ricci, X. Wang, N. Sebe, “Learning Cross-Modal Deep Representations for Robust Pedestrian Detection”,in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  • X. Alameda-Pineda, A. Pilzer, D. Xu, N.Sebe, E. Ricci, “Viraliency: pooling local virality,” in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  • A. Siarohin, G. Zen, C. Majtanovic, X. Alameda-Pineda, E. Ricci, N. Sebe, “How to Make an Image More Memorable? A Deep Style Transfer Approach”, ACM International Conference on Multimedia Retrieval (ICMR), 2017.

2016

  • Y. Yan, E. Ricci, G. Liu, O. Lanz, N. Sebe. “A Multi-task Learning Framework for Head Pose Estimation under Target Motion”, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2016.
  • X. Alameda-Pineda, J. Staiano, R. Subramanian, L. M. Batrinca, E. Ricci, B. Lepri, O. Lanz, N. Sebe. “SALSA: A Novel Dataset for Multimodal Group Behavior Analysis”. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2016.
  • G. Zen, L. Porzi, E. Sangineto, E. Ricci, N. Sebe. “Learning Personalized Models for Facial Expression Analysis and Gesture Recognition. IEEE Trans. Multimedia 18(4): 775-788, 2016.
  • X. Alameda-Pineda, E. Ricci, Y. Yan, and N. Sebe, “Recognizing Emotions from Abstract Paintings using Non-Linear Matrix Completion,” in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  • S. Tulyakov, X. Alameda-Pineda, E. Ricci, L. Yin, J. F. Cohn, and N. Sebe, “Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions,” in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  • D. Xu, X. Alameda-Pineda, J. Song, E. Ricci, and N. Sebe, “Academic Coupled Dictionary Learning for Sketch-based Image Retrieval,” in ACM International Conference on Multimedia, Amsterdam, The Netherlands, 2016.
  • L.Porzi, S. Rota-Bulò, E.Ricci, “A Deeply-Supervised Deconvolutional Network for Horizon Line Detection”, in ACM International Conference on Multimedia, Amsterdam, The Netherlands, 2016.
  • D. Xu, J. Song, X. Alameda-Pineda, E. Ricci, and N. Sebe, “Multi-Paced Dictionary Learning for Cross-Domain Retrieval and Recognition,” in IEEE International Conference on Pattern Recognition, Cancun, Mexico, 2016. INTEL Best Scientific paper award.

2015

  • G. Costante, T. A. Ciarfuglia, P. Valigi, E. Ricci. “Transferring knowledge across robots: A risk sensitive approach”, Robotics and Autonomous Systems. 65: 1-14, 2015.
  • Y. Yan, E. Ricci, G. Liu, N. Sebe. “Egocentric Daily Activity Recognition via Multitask Clustering”, IEEE Transaction on Image Processing (TIP), 24(10): 2984-2995, 2015.
  • X. Alameda-Pineda, Y. Yan, E. Ricci, O. Lanz, N. Sebe, “Analyzing Free-standing Conversational Groups: a Multimodal Approach”, In ACM Multimedia (ACM MM), 2015. Best Paper Award
  • E. Ricci, J. Varadarajan, R. Subramanian, S. Rota Bulò, N. Ahuja, O. Lanz, “Uncovering Interactions and Interactors: Joint Estimation of Head, Body Orientation and F-formations from Surveillance Videos”, International Conference on Computer Vision (ICCV), 2015. (Oral presentation)
  • L.Porzi, S.Rota-Bulò, B.Lepri, E. Ricci, “Predicting and Understanding Urban Perception with Convolutional Neural Networks”, In ACM Multimedia (ACM MM), 2015. (Oral presentation)
  • R. Subramanian, J. Varadarajan, E. Ricci, O. Lanz, S. Winkler, “Jointly Estimating Interactions and Head, Body Pose of Interactors from Social Scenes”, In ACM Multimedia (ACM MM), 2015.
  • D. Xu, E. Ricci, Y. Yan, J. Song, N. Sebe: “Learning Deep Representations of Appearance and Motion for Anomalous Event Detection”, In British Machine Vision Conference (BMVC), 2015 (Oral presentation)
  • G. Liu, Y. Yan, E. Ricci, Y. Yang, Y. Han, S. Winkler, N. Sebe: “Inferring Painting Style with Multi-task Dictionary Learning “, International Joint Conferences on Artificial Intelligence (IJCAI), 2015.
  • J.G.C. de Souza, M. Negri, E. Ricci, M. Turchi, “Online multitask learning for machine translation quality estimation.”, In Proc. Annual Meeting of the Association for Computational Linguistics (ACL), 2015. (long paper)

2014

  • A. Rajagopal, R. Subramanian, E. Ricci, R. Vieriu, O. Lanz, N. Sebe, “Exploring Transfer Learning Approaches for Head Pose Classification from Multi-view Surveillance Images”, International Journal of Computer Vision (IJCV), pages 1-22, 2014.
  • T. A .Ciarfuglia, G. Costante, P. Valigi, E. Ricci. “Evaluation of non-geometric methods for visual odometry”, Robotics and Autonomous Systems. 2014.
  • Y. Yan, E. Ricci, R. Subramanian, G. Liu, N. Sebe. “Multi-task Linear Discriminant Analysis for View Invariant Action Recognition”, IEEE Transaction on Image Processing (TIP), 2014.
  • E. Sangineto, G. Zen, E. Ricci, N. Sebe. “We are not All Equal: Personalizing Models for Facial Expression Analysis with Transductive Parameter Transfer ”. ACM Multimedia, 2014. (long paper)
  • G. Zen, E. Sangineto, E. Ricci, N. Sebe. “Unsupervised Domain Adaptation for Personalized Facial Emotion Recognition”, International Conference on Multimodal Interaction (ICMI), 2014.
  • Y. Yan, E. Ricci, N. Rostamzadeh, N. Sebe. “It’s All About Habits: Exploiting Multi-task Clustering for Activities of Daily Living Analysis”. In International Conference on Image Processing (ICIP), 2014.
  • Y. Yan, E. Ricci, G. Liu, R. Subramanian, N. Sebe. “Clustered Multi-task Linear Discriminant Analysis for View Invariant Color-Depth Action Recognition”. In International Conference on Pattern Recognition (ICPR), 2014. IBM Best Student Paper Award
  • Y. Yan, R. Subramanian, E. Ricci, O. Lanz, N. Sebe. “Evaluating Multi-task Learning for Multi-view Head-pose Classification in Interactive Environments”. In International Conference on Pattern Recognition (ICPR), 2014.
  • G. Zen, E. Ricci, N. Sebe. “Simultaneous Ground Metric Learning and Matrix Factorization with Earth Mover’s Distance”. In International Conference on Pattern Recognition (ICPR), 2014.
  • G. Costante, E. Bellocchio, P. Valigi, E. Ricci. “Personalizing Vision-based Gestural Interfaces for HRI with UAVs: a Transfer Learning Approach”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2014.
  • G. Costante, V. Galieni, Y. Yan, M.L. Fravolini, E. Ricci, P. Valigi.”Exploting Transfer Learning for Personalized View Invariant Gesture Recognition”, International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
  • G. Costante, L. Porzi, O. Lanz, P. Valigi and E. Ricci. “Personalizing a Smartwatch-based Gesture Interface with Transfer Learning”. European Signal Processing Conference (EUSIPCO), 2014.
  • L. Porzi, S.Rota-Bulò, O. Lanz, P. Valigi and E. Ricci. “Learning Contours for Automatic Annotations of Mountains Pictures on a Smartphone”, ACM/IEEE International Conference on Distributed Smart Cameras (ICSDC), 2014.
  • M. K. Abadi, A. Abad, R. Subramanian, N. Rostamzadeh, E. Ricci, J. Varadarajan, N. Sebe. “A Multi-task Learning Framework for Time-continuous Emotion Estimation from Crowd Annotations”, International Workshop on Crowdsourcing for Multimedia, 2014.

2013

  • E. Ricci, G. Zen, N. Sebe, S. Messelodi. “A prototype learning framework using EMD: Application to complex scenes analysis”. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2013.
  • L. Bissi, G. Baruffa, P. Placidi, E. Ricci, A. Scorzoni and P. Valigi. “Automated defect detection in uniform and structured fabrics using Gabor filters and PCA”, Journal of Visual Communication and Image Representation, 2013.
  • Y. Yan, E. Ricci, R. Subramanian, O. Lanz, N. Sebe, “No Matter Where You Are: Flexible Graph-guided Multi-task Learning for Multi-view Head Pose Classification Under Target Motion”, International Conference on Computer Vision (ICCV), 2013.
  • Y. Yan, G. Liu, E. Ricci and N. Sebe. “Multi-task Linear Discriminant Analysis for Multi-view Action Recognition”. IEEE International Conference on Image Processing (ICIP), 2013.
  • G. Costante, T. Ciarfuglia, P. Valigi and E. Ricci. “A Transfer Learning Approach for Multi-Cue Semantic Place Recognition”. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013.
  • L. Porzi, S. Messelodi, C.M. Modena, E. Ricci. “A smart watch-based gesture recognition system for assisting people with visual impairments”, ACM International Workshop on Interactive Multimedia on Mobile and Portable Devices – IMMPD, 2013.

2012

  • G. Costante, T. Ciarfuglia, P. Valigi and E. Ricci. “Transfer Learning for Visual Place Classification”. RSS Workshop on Robots in Clutter: Preparing robots for the real world. 2012.
  • G. Zen, E. Ricci and N. Sebe. “Exploiting Sparse Representations for Robust Analysis of Noisy Complex Video Scenes”. European Conference on Computer Vision (ECCV). 2012.
  • A. Rajagopal, R. Subramanian, R.L. Vieriu, E. Ricci, O. Lanz, N. Sebe, K. Ramakrishnan, “An Adaptation Framework for Head Pose Estimation in Dynamic Multi-view Scenarios”, Asian Conference on Computer Vision (ACCV), 2012.
  • L. Bissi, G. Baruffa, P. Placidi, E. Ricci, A. Scorzoni and P. Valigi. “Patch based yarn defect detection using Gabor filters”. IEEE International Instrumentation and Measurement Technology Conference (IMTC), 2012.
  • M. Tiribuzi, M. Pastorelli, P. Valigi and E. Ricci. “A Multiple Kernel Learning Framework for Detecting Altered Fingerprints”. International Conference on Pattern Recognition (ICPR), 2012.
  • T. Ciarfuglia, G. Costante, P. Valigi and E. Ricci. “A Discriminative Approach for Appearance Based Loop Closing”. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2012.
  • G. Zen, N. Rostamzadeh, J. Stajano, E. Ricci and N. Sebe. “Enhanced Semantic Descriptors for Functional Scene Categorization”. International Conference on Pattern Recognition (ICPR), 2012.
  • R. Vieriu, A.K. Rajagopal, R. Subramanian, O. Lanz, E. Ricci, N. Sebe, K. Ramakrishnan “Boosting-based Transfer Learning for Multi-View Head-Pose Classification From Surveillance Videos”. European Signal Processing Conference (EUSIPCO), 2012.
  • L. Porzi, E. Ricci, T. Ciarfuglia and M. Zanin. “Visual-inertial Tracking on Android for Augmented Reality Applications”, IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS), 2012.
  • A. Ragnacci, M. Pastorelli, P. Valigi and E. Ricci. “Exploiting dimensionality reduction techniques for photovoltaic power forecasting”. ENERGYCON, 2012.

2011

  • G. Zen, E. Ricci, N.Sebe, S. Messelodi. “Sorting Atomic Activities for Discovering Spatio-temporal Patterns in Dynamic Scenes”. International Conference on Image Analysis and Processing (ICIAP), 2011.
  • G. Zen and E. Ricci. “Earth Mover’s Prototypes: a Convex Learning Approach for Discovering Activity Patterns in Dynamic Scenes”. Computer Vision and Pattern Recognition (CVPR), 2011.

2010

  • G. Zen, B. Lepri, E. Ricci and O. Lanz. “Space Speaks – Towards Socially and Personality Aware Visual Surveillance”. ACM MM’10 Workshop, Multimodal Pervasive Video Analysis Workshop (MPVA), Firenze, Italy. 2010.
  • G. Zen, O. Lanz, S. Messelodi and E. Ricci. “Tracking Multiple People with Illumination Maps”. International Conference on Pattern Recognition (ICPR), 2010.
  • E. Ricci, F. Tobia and G. Zen. “Learning Pedestrian Trajectories with Kernels”. International Conference on Pattern Recognition (ICPR), 2010.

2009

  • E. Ricci and J.-M. Odobez. “Learning large margin likelihoods for realtime head pose”. International Conference on Image Processing (ICIP), 2009.
  • S. Duffner, J.-M. Odobez and E. Ricci. “Dynamic Partitioned Sampling For Tracking With Discriminative Features”. British Machine Vision Conference (BMVC), 2009.

2008

  • E. Ricci, T. De Bie and N. Cristianini. “Magic Moments for Structured Output Prediction”, Journal of Machine Learning Research, Vol. 9. 2008, pp. 2803-2846.
  • R. Perfetti, E. Ricci. “Recurrent Correlation Associative Memories: A Feature Space Perspective.” IEEE Transactions on Neural Networks 19(2): 333-345, 2008.
  • N. Cristianini, E. Ricci. “Support Vector Machines.” Encyclopedia of Algorithms, 2008.

2007

  • E. Ricci and R. Perfetti. “Retinal blood vessel segmentation using line operators and support vector classification”, IEEE Transaction on Medical Imaging, Vol. 26. pp. 1357-1365, 2007.
  • R. Perfetti, E. Ricci, D. Casali and G. Costantini. “Cellular neural network with virtual template expansion for Retinal Vessel Segmentation”, IEEE Transactions on Circuits and Systems, Vol. 54, pp. 141-145, 2007.
  • E. Ricci, T. De Bie, N. Cristianini: Discriminative Sequence Labeling by Z-Score Optimization. European Conference on Machine Learning (ECML), 2007.
  • E. Ricci, T. De Bie and N. Cristianini. “Learning to Align: A Statistical Approach”. International Symposium on Intelligent Data Analysis (IDA). 2007.

2006

  • E. Ricci, L. Rugini, R. Perfetti: SVM-based CDMA receiver with incremental active learning. Neurocomputing 69(13-15): 1691-1696, 2006.
  • D. Casali, G. Costantini, R. Perfetti, E. Ricci: Associative Memory Design Using Support Vector Machines. IEEE Transactions on Neural Networks 17(5): 1165-1174, 2006.
  • R. Perfetti, E. Ricci: Analog neural network for support vector machine learning. IEEE Transactions on Neural Networks 17(4): 1085-1091, 2006.
  • E. Ricci, R. Perfetti: Improved pruning strategy for radial basis function networks with dynamic decay adjustment. Neurocomputing 69(13-15): 1728-1732, 2006.
  • R. Perfetti, E. Ricci: Reduced complexity RBF classifiers with support vector centres and dynamic decay adjustment. Neurocomputing 69(16-18): 2446-2450, 2006.