Dr Giorgio Roffo

  • Research Associate (Computing Science)

Biography

My research focuses on building new approaches to enable machines to analyze, recognize, and predict human communicative behaviors during social interactions. This multi-disciplinary research topic overlaps the fields of computer vision, machine learning, and social psychology.

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.

What makes this research area different from classical computer vision is the needs to deal with multiple communities and modalities (e.g., Visual, Auditory, Haptics, Verbal, etc.). This is why we talk about multimodal machine learning.

Currently, we are working on multimodal deep learning and Feature Selection, where different specialized deep networks are trained in a natural way for each data source. As a result, deep networks allow us to retain a homogeneous interface where all the features are mapped in the same feature space. Novel strategies can be developed to accurately sense and interpret human social signals and social context with the help of feature selection techniques embedded in deep networks. In our opinion, next-generation computing needs to include the essence of social intelligence to become more effective and possibly understanding a facet of our communication better than we do ourselves.

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

SOURCE CODE

  1. Feature Selection Library (FSLib 2018) is a widely applicable MATLAB library for feature selection (attribute or variable selection), capable of reducing the problem of high dimensionality to maximize the accuracy of data models, performance of automatic decision rules as well as to reduce data acquisition cost (FSLib was awarded by MATLAB in 2017). 
  2. Visual Object Tracking (VOT2016) Trackers repository. Each tracker is referred to as NAME (Appendix Nr NN), where NAME is the name given to the tracker and NN is the tracker number referred on the VOT paper. Our contribution is DFST (Appendix Nr 39)

Publications

List by: Type | Date

Jump to: 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
Number of items: 16.

2019

Roffo, G. , Vo, D.-B. , Tayarani, M., Rooksby, M. , Sorrentino, A., Di Folco, S., Minnis, H. , Brewster, S. and Vinciarelli, A. (2019) Automating the Administration and Analysis of Psychiatric Tests: the Case of Attachment in School Age Children. In: 2019 CHI Conference on Human Factors in Computing Systems (CHI '19), Glasgow, UK, 04-09 May 2019, p. 595. ISBN 9781450359702 (doi:10.1145/3290605.3300825)

2018

Melzi, S., Ovsjanikov, M., Roffo, G. , Cristani, M. and Castellani, U. (2018) Discrete time evolution process descriptor for shape analysis and matching. ACM Transactions on Graphics, 37(1), 4. (doi:10.1145/3144454)

2017

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, pp. 1407-1415. (doi:10.1109/ICCV.2017.156)

Aylett, R., Broz, F., Ghosh, A., McKenna, P., Rajendran, G., Foster, M. E. , Roffo, G. and Vinciarelli, A. (2017) Evaluating Robot Facial Expressions. In: 19th ACM International Conference on Multimodal Interaction (ICMI 2017), Glasgow, Scotland, 13-17 Nov 2017, pp. 516-517. ISBN 9781450355438 (doi:10.1145/3136755.3143032)

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, 12-16 Nov 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 Tue Sep 17 19:49:06 2019 BST.
Number of items: 16.

Articles

Melzi, S., Ovsjanikov, M., Roffo, G. , Cristani, M. and Castellani, U. (2018) Discrete time evolution process descriptor for shape analysis and matching. ACM Transactions on Graphics, 37(1), 4. (doi:10.1145/3144454)

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. , Vo, D.-B. , Tayarani, M., Rooksby, M. , Sorrentino, A., Di Folco, S., Minnis, H. , Brewster, S. and Vinciarelli, A. (2019) Automating the Administration and Analysis of Psychiatric Tests: the Case of Attachment in School Age Children. In: 2019 CHI Conference on Human Factors in Computing Systems (CHI '19), Glasgow, UK, 04-09 May 2019, p. 595. ISBN 9781450359702 (doi:10.1145/3290605.3300825)

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, pp. 1407-1415. (doi:10.1109/ICCV.2017.156)

Aylett, R., Broz, F., Ghosh, A., McKenna, P., Rajendran, G., Foster, M. E. , Roffo, G. and Vinciarelli, A. (2017) Evaluating Robot Facial Expressions. In: 19th ACM International Conference on Multimodal Interaction (ICMI 2017), Glasgow, Scotland, 13-17 Nov 2017, pp. 516-517. ISBN 9781450355438 (doi:10.1145/3136755.3143032)

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, 12-16 Nov 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 Tue Sep 17 19:49:06 2019 BST.