Dr Giorgio Roffo

  • Research Associate (Computing Science)

telephone: +44 141 330 1651
email: Giorgio.Roffo@glasgow.ac.uk

Research interests

My primary research interests are in the area of machine learning, computer vision, social signal processing and machine perception of social behavior. Within these areas, my work focuses on developing novel strategies to accurately sense and interpret human social signals and social context. Studies suggested that in human-human interactions more than a half of the messages exchanged are based on the way people move (e.g., posture, facial expression and gestures). However, machines have a poor understanding of these nonverbal cues. During social interactions, non-verbal behaviour conveys a continuous flow of signals about feelings, mental state, personality, and other traits of people.

My current research focuses on bringing deep learning solutions to tease out the structure of the elaborate code behind social interactions (Human-Human \& Human-Robot), making it possible for machines to read and write human body language. Next-generation computing needs to include the essence of social intelligence in order to become more effective and possibly to understand a facet of our communication better than we do ourselves.

Within the EPSRC Socially Competent Robots project, we are studying the benefits of social robots for adults with Autism Spectrum Disorders. Social robots can be used to help people with autism by identifying social cues and emotional reactions that they can sometimes struggle to express and interpret themselves. One of the main goals is the development of a Robot Training Buddy, that can help people with ASD to socialize on a more regular basis identifying their mood and reacting appropriately. Currently, we are working on analyzing and understanding dynamic scenes using deep learning techniques to efficiently detect the pose of multiple people. Long short-term memory networks are used to model socially relevant factors, such as posture and gestures, to infer whether the human is open to an interaction, or they are paying attention to the robot, and other sort of social signals that we use in our daily conversations.

Personal website: http://giorgioroffo.uk

Grants

nVIDIA GPU Grant 2017. NVIDIA GPU grants are intended to enable researchers to begin a new project and/or gain the preliminary results to support a larger proposal to other funding agencies (see GPU Grant Program).

Additional information

SELECTED PUBLICATIONS

2017

  • Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach. G. Roffo, S. Melzi, U. Castellani, and A. Vinciarelli. In Conf. IEEE International Conference on Computer Vision, ICCV, 2017.
  • Discrete time Evolution Process Descriptor for shape analysis and matching. S. Melzi, M. Ovsjanikov, G. Roffo, M. Cristani, U. Castellani.  ACM Transactions on Graphics, TOG, 2017.
  • Ranking to Learn: Feature Ranking and Selection via Eigenvector Centrality. G. Roffo, S. Melzi. Springer Book Chapter: New Frontiers in Mining Complex Patterns, 2017. 

2014-2016

Publications

List by: Type | Date

Jump to: 2017 | 2016 | 2015 | 2014 | 2013 | 2012
Number of items: 14.

2017

Melzi, S., Ovsjanikov, M., Roffo, G., Cristani, M. and Castellani, U. (2017) Discrete time evolution process descriptor for shape analysis and matching. ACM Transactions on Graphics, (Accepted for Publication)

Roffo, G., Melzi, S., Castellani, U. and Vinciarelli, A. (2017) Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach. In: IEEE International Conference on Computer Vision (ICCV 2017), Venice, Italy, 22-29 Oct 2017, (Accepted for Publication)

Roffo, G. and Melzi, S. (2017) Ranking to Learn: Feature Ranking and Selection via Eigenvector Centrality. In: Appice, A., Ceci, M., Loglisci, C., Masciari, E. and Ras, Z. (eds.) New Frontiers in Mining Complex Patterns: 5th International Workshop, NFMCP 2016, held in Conjunction with ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016, Revised Selected Papers. Series: Lecture Notes in Artificial Intelligence (10312). Springer, pp. 19-35. ISBN 9783319614618

2016

Obertino, S., Roffo, G., Granziera, C. and Menegaz, G. (2016) Infinite Feature Selection on Shore-Based Biomarkers Reveals Connectivity Modulation after Stroke. In: 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI), Trento, Italy, 22-24 June 2016, pp. 1-4. ISBN 9781467365307 (doi:10.1109/PRNI.2016.7552347)

Kristan, M. et al. (2016) The Visual Object Tracking VOT2016 Challenge Results. In: European Conference on Computer Vision Workshops (ECCV 2016), Amsterdam, The Netherlands, 8-10 Oct 2016, pp. 777-823. ISBN 9783319488806 (doi:10.1007/978-3-319-48881-3_54)

Roffo, G. and Melzi, S. (2016) Online Feature Selection for Visual Tracking. In: BMVC 2016, York, United Kingdom, 19-22 Sept 2016, 120.1-120.12. ISBN 1901725596 (doi:10.5244/C.30.120)

Roffo, G. and Vinciarelli, A. (2016) Personality in Computational Advertising: A Benchmark. In: International Workshop on Emotions and Personality in Personalized Systems at ACM RecSys (EMPIRE 2016), Boston, MA, USA, 16 Sept 2016,

2015

Roffo, G., Melzi, S. and Cristani, M. (2015) Infinite Feature Selection. In: 2015 IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, 07-13 Dec 2015, pp. 4202-4210. ISBN 9781467383912 (doi:10.1109/ICCV.2015.478)

2014

Roffo, G., Giorgetta, C., Ferrario, R. and Cristani, M. (2014) Just the way you chat: linking personality, style and recognizability in chats. In: Park, H. S., Salah, A. A., Lee, Y. J., Morency, L.-P., Sheikh, Y. and Cucchiara, R. (eds.) Human Behavior Understanding. Series: Lecture notes in computer science (8749). Springer International Publishing: Cham, pp. 30-41. ISBN 9783319118383 (doi:10.1007/978-3-319-11839-0_3)

Roffo, G., Giorgetta, C., Ferrario, R., Riviera, W. and Cristani, M. (2014) Statistical Analysis of Personality and Identity in Chats Using a Keylogging Platform. In: 16th International Conference on Multimodal Interaction, Istanbul, Turkey, Nov 12-16 2014, pp. 224-231. ISBN 9781450328852 (doi:10.1145/2663204.2663272)

2013

Roffo, G., Cristani, M., Bazzani, L., Minh, H. Q. and Murino, V. (2013) Trusting Skype: learning the way people chat for fast user recognition and verification. In: 2013 IEEE International Conference on Computer Vision Workshops (ICCVW), Sydney, Australia, 02-08 Dec 2013, pp. 748-754. ISBN 9781479930227 (doi:10.1109/ICCVW.2013.102)

Roffo, G., Cristani, M., Pollick, F. , Segalin, C. and Murino, V. (2013) Statistical analysis of visual attentional patterns for video surveillance. In: Ruiz-Shulcloper, J. and Sanniti di Baja, G. (eds.) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2013. Series: Lecture notes in computer science (8259). Springer: Berlin, pp. 520-527. ISBN 9783642418266 (doi:10.1007/978-3-642-41827-3_65)

Roffo, G., Segalin, C., Vinciarelli, A., Murino, V. and Cristani, M. (2013) Reading between the turns: statistical modeling for identity recognition and verification in chats. In: 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, Krakow, Poland, 27-30 Aug 2013, pp. 99-104. ISBN 9781479907038 (doi:10.1109/AVSS.2013.6636623)

2012

Cristani, M., Roffo, G., Segalin, C., Bazzani, L., Vinciarelli, A. and Murino, V. (2012) Conversationally-Inspired Stylometric Features for Authorship Attribution in Instant Messaging. In: 20th ACM International Conference on Multimedia, Nara, Japan, 29 Oct - 2 Nov 2012, pp. 1121-1124. ISBN 9781450310895 (doi:10.1145/2393347.2396398)

This list was generated on Fri Oct 20 11:28:22 2017 BST.
Number of items: 14.

Articles

Melzi, S., Ovsjanikov, M., Roffo, G., Cristani, M. and Castellani, U. (2017) Discrete time evolution process descriptor for shape analysis and matching. ACM Transactions on Graphics, (Accepted for Publication)

Book Sections

Roffo, G. and Melzi, S. (2017) Ranking to Learn: Feature Ranking and Selection via Eigenvector Centrality. In: Appice, A., Ceci, M., Loglisci, C., Masciari, E. and Ras, Z. (eds.) New Frontiers in Mining Complex Patterns: 5th International Workshop, NFMCP 2016, held in Conjunction with ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016, Revised Selected Papers. Series: Lecture Notes in Artificial Intelligence (10312). Springer, pp. 19-35. ISBN 9783319614618

Roffo, G., Giorgetta, C., Ferrario, R. and Cristani, M. (2014) Just the way you chat: linking personality, style and recognizability in chats. In: Park, H. S., Salah, A. A., Lee, Y. J., Morency, L.-P., Sheikh, Y. and Cucchiara, R. (eds.) Human Behavior Understanding. Series: Lecture notes in computer science (8749). Springer International Publishing: Cham, pp. 30-41. ISBN 9783319118383 (doi:10.1007/978-3-319-11839-0_3)

Roffo, G., Cristani, M., Pollick, F. , Segalin, C. and Murino, V. (2013) Statistical analysis of visual attentional patterns for video surveillance. In: Ruiz-Shulcloper, J. and Sanniti di Baja, G. (eds.) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2013. Series: Lecture notes in computer science (8259). Springer: Berlin, pp. 520-527. ISBN 9783642418266 (doi:10.1007/978-3-642-41827-3_65)

Conference Proceedings

Roffo, G., Melzi, S., Castellani, U. and Vinciarelli, A. (2017) Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach. In: IEEE International Conference on Computer Vision (ICCV 2017), Venice, Italy, 22-29 Oct 2017, (Accepted for Publication)

Obertino, S., Roffo, G., Granziera, C. and Menegaz, G. (2016) Infinite Feature Selection on Shore-Based Biomarkers Reveals Connectivity Modulation after Stroke. In: 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI), Trento, Italy, 22-24 June 2016, pp. 1-4. ISBN 9781467365307 (doi:10.1109/PRNI.2016.7552347)

Kristan, M. et al. (2016) The Visual Object Tracking VOT2016 Challenge Results. In: European Conference on Computer Vision Workshops (ECCV 2016), Amsterdam, The Netherlands, 8-10 Oct 2016, pp. 777-823. ISBN 9783319488806 (doi:10.1007/978-3-319-48881-3_54)

Roffo, G. and Melzi, S. (2016) Online Feature Selection for Visual Tracking. In: BMVC 2016, York, United Kingdom, 19-22 Sept 2016, 120.1-120.12. ISBN 1901725596 (doi:10.5244/C.30.120)

Roffo, G. and Vinciarelli, A. (2016) Personality in Computational Advertising: A Benchmark. In: International Workshop on Emotions and Personality in Personalized Systems at ACM RecSys (EMPIRE 2016), Boston, MA, USA, 16 Sept 2016,

Roffo, G., Melzi, S. and Cristani, M. (2015) Infinite Feature Selection. In: 2015 IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, 07-13 Dec 2015, pp. 4202-4210. ISBN 9781467383912 (doi:10.1109/ICCV.2015.478)

Roffo, G., Giorgetta, C., Ferrario, R., Riviera, W. and Cristani, M. (2014) Statistical Analysis of Personality and Identity in Chats Using a Keylogging Platform. In: 16th International Conference on Multimodal Interaction, Istanbul, Turkey, Nov 12-16 2014, pp. 224-231. ISBN 9781450328852 (doi:10.1145/2663204.2663272)

Roffo, G., Cristani, M., Bazzani, L., Minh, H. Q. and Murino, V. (2013) Trusting Skype: learning the way people chat for fast user recognition and verification. In: 2013 IEEE International Conference on Computer Vision Workshops (ICCVW), Sydney, Australia, 02-08 Dec 2013, pp. 748-754. ISBN 9781479930227 (doi:10.1109/ICCVW.2013.102)

Roffo, G., Segalin, C., Vinciarelli, A., Murino, V. and Cristani, M. (2013) Reading between the turns: statistical modeling for identity recognition and verification in chats. In: 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, Krakow, Poland, 27-30 Aug 2013, pp. 99-104. ISBN 9781479907038 (doi:10.1109/AVSS.2013.6636623)

Cristani, M., Roffo, G., Segalin, C., Bazzani, L., Vinciarelli, A. and Murino, V. (2012) Conversationally-Inspired Stylometric Features for Authorship Attribution in Instant Messaging. In: 20th ACM International Conference on Multimedia, Nara, Japan, 29 Oct - 2 Nov 2012, pp. 1121-1124. ISBN 9781450310895 (doi:10.1145/2393347.2396398)

This list was generated on Fri Oct 20 11:28:22 2017 BST.