HOME > Publications

Peer-reviewed International Journals

Luca Franco, Leonardo Placidi, Francesco Giuliari, Irtiza Hasan, Marco Cristani, Fabio Galasso

Under the Hood of Transformer Networks for Trajectory Forecasting

In Pattern Recognition

DOI: 10.1016/j.patcog.2023.109372; 2023

[science_direct] [DOI] [ArXiv] [bibtex]

Bardh Prenkaj, Dario Aragona, Alessandro Flaborea, Fabio Galasso, Saverio Gravina, Luca Podo, Emilia Reda, Paola Velardi

A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences

In Artificial intelligence in medicine

DOI: 10.1016/j.artmed.2022.102454; 2023

[science_direct] [DOI] [bibtex]

Bharti Munjal, Alessandro Flaborea, Sikandar Amin, Federico Tombari, and Fabio Galasso

Query-Guided Networks for Few-shot Fine-grained Classification and Person Search

In Pattern Recognition

DOI: 10.1016/j.patcog.2022.109049; 2022

[ArXiv] [DOI] [bibtex]

Laura Laurenti, Elisa Tinti, Fabio Galasso, Luca Franco, and Chris Marone

Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress

In Earth and Planetary Science Letters

2022

[ArXiv] [bibtex]

Simone Antonelli, Danilo Avola, Luigi Cinque, Donato Crisostomi, Gian Luca Foresti, Fabio Galasso, Marco Raoul Marini, Alessio Mecca, Daniele Pannone

Few-Shot Object Detection: A Survey

In Association for Computing Machinery ACM Surveys

DOI: 10.1145/3519022; 2022

[DOI] [bibtex]

Theodore Tsesmelis, Irtiza Hasan, Marco Cristani, Alessio Del Bue and Fabio Galasso

An integrated light management system with real-time light measurement and human perception

In Lighting Research & Technology

DOI: 10.1177/1477153520947464; 2020

[ArXiv] [DOI] [bibtex]

Bharti Munjal, Abdul Rafey Aftab, Sikandar Amin, Meltem D. Brandlmaier, Federico Tombari and Fabio Galasso

Joint Detection and Tracking in videos with Identification Features

In Image and Vision Computing (IMAVIS)

ISSN: 0262-8856; DOI: 10.1016/j.imavis.2020.103932; 2020

3rd place in the DETRAC'18 car tracking competition

[ArXiv] [DOI] [url] [DETRAC'18_competition_results] [bibtex]

Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Vasileios Belagiannis, Sikandar Amin, Alessio Del Bue, Marco Cristani and Fabio Galasso

Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets

In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

ISSN: 0162-8828; DOI: 10.1109/TPAMI.2019.2949414; 2019

[ArXiv] [DOI] [project_page] [bibtex]


Peer-reviewed International Conferences

Luca Franco, Paolo Mandica, Bharti Munjal, Fabio Galasso

Hyperbolic Self-paced Learning for Self-supervised Skeleton-based Action Representations

In Proc. International Conference on Learning Representations (ICLR)

Kigali, Rwanda, May 2023

[OpenReview] [Source_code] [bibtex]

Luca Scofano, Alessio Sampieri, Giuseppe Re, Matteo Almanza, Alessandro Panconesi, Fabio Galasso

About latent roles in forecasting players in team sports

In Proc. International Conference on Learning Representations (ICLR)

Workshop on International AI for Agent-Based Modelling Community (AI4ABM)

Kigali, Rwanda, May 2023

[ArXiv] [Project_page] [Source_code] [bibtex]

Alessandro Flaborea, Bardh Prenkaj, Bharti Munjal, Marco Aurelio Sterpa, Dario Aragona, Luca Podo, Fabio Galasso

Are we certain it's anomalous?

In Proc. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR)

Workshop on Visual Anomaly and Novelty Detection (VAND)

Vancouver, Canada, June 2023

[ArXiv] [Source_code] [bibtex]

Muhammad Rameez Ur Rahman, Luca Scofano, Edoardo De Matteis, Alessandro Flaborea, Alessio Sampieri, Fabio Galasso

Best Practices for 2-Body Pose Forecasting

In Proc. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR)

Workshop on Precognition: Seeing through the Future

Vancouver, Canada, June 2023

[ArXiv] [Source-code] [Project-page] [bibtex]

Daniele Trappolini, Laura Laurenti, Elisa Tinti, Fabio Galasso, Chris Marone, Alberto Michelini

DiffSD: Diffusion models for seismic denoising

In Proc. European Geosciences Union (EGU) General Assemby

DOI: 10.5194/egusphere-egu23-13811; Vienna, Austria, May 2023

[DOI] [web] [bibtex]

Laura Laurenti, Gabriele Paoletti, Elisa Tinti, Fabio Galasso, Luca Franco, Cristiano Collettini, Chris Marone

Using Deep Learning to understand variations in fault zone properties: distinguishing foreshocks from aftershocks

In Proc. European Geosciences Union (EGU) General Assemby

DOI: 10.5194/egusphere-egu23-5810; Vienna, Austria, May 2023

[DOI] [web] [bibtex]

Alessio Sampieri, Guido Maria D'Amely di Melendugno, Andrea Avogaro, Federico Cunico, Francesco Setti, Geri Skenderi, Marco Cristani and Fabio Galasso

Pose Forecasting in Industrial Human-Robot Collaboration

In Proc. European Conference on Computer Vision (ECCV)

Tel Aviv, Israel, October 2022

[ArXiv] [project_page] [bibtex]

Cristiano Saltori, Evgeny Krivosheev, Stéphane Lathuilière, Nicu Sebe, Fabio Galasso, Giuseppe Fiameni, Elisa Ricci and Fabio Poiesi

GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation

In Proc. European Conference on Computer Vision (ECCV)

Tel Aviv, Israel, October 2022

[ArXiv] [project_page] [bibtex]

Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Elisa Ricci and Fabio Poiesi

CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation

In Proc. European Conference on Computer Vision (ECCV)

Tel Aviv, Israel, October 2022

[ArXiv] [project_page] [bibtex]

Luca Robbiano, Muhammad Rameez Ur Rahman, Fabio Galasso, Barbara Caputo and Fabio Maria Carlucci

Adversarial Branch Architecture Search for Unsupervised Domain Adaptation

In Proc. IEEE Winter Conference on Applications of Computer Vision (WACV)

Waikoloa, Hawaii, January 2022

[ArXiv] [source_code] [bibtex]

Laura Laurenti, Elisa Tinti, Fabio Galasso, Luca Franco, Chris Marone

Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress

In Proc. European Geosciences Union (EGU) General Assemby

DOI: 10.5194/egusphere-egu22-9833; Vienna, Austria, May 2022

[DOI] [web] [bibtex]

Daniele Trappolini, Luca Scofano, Alessio Sampieri, Francesco Messina, Fabio Galasso, Saverio Di Fabio, Frank Silvio Marzano

Mesoscale precipitation nowcasting from weather radar data using space-time-separable graph convolutional networks

In Proc. European Geosciences Union (EGU) General Assemby

DOI: 10.5194/egusphere-egu22-5361; Vienna, Austria, May 2022

[DOI] [web] [bibtex]

Theodoros Sofianos, Alessio Sampieri, Luca Franco and Fabio Galasso

Space-Time-Separable Graph Convolutional Network for Pose Forecasting

In Proc. International Conference on Computer Vision (ICCV)

Virtual, October 2021

[ArXiv] [source_code] [bibtex]

Francesco Giuliari, Irtiza Hasan, Marco Cristani and Fabio Galasso

Transformer Networks for Trajectory Forecasting

In Proc. International Conference on Pattern Recognition (ICPR)

Milan, Italy, January 2021

[ArXiv] [source_code] [bibtex]

Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo

Cluster-driven Graph Federated Learning over Multiple Domains

In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)

Workshop on Learning from Limited or Imperfect Data (L^2ID)

Virtual, June 2021

[ArXiv] [bibtex]

Cristiano Saltori, Stéphane Lathuilière, Nicu Sebe, Elisa Ricci and Fabio Galasso

SF-UDA-3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection

In Proc. International Conference on 3D Vision (3DV)

Fukuoka, Japan, November 2020

[ArXiv] [bibtex]

Bharti Munjal, Fabio Galasso and Sikandar Amin

Class Interference Regularization

In Proc. British Machine Vision Conference (BMVC)

Birmingham, UK 2020

[ArXiv] [bibtex]

Bharti Munjal, Sikandar Amin, Federico Tombari and Fabio Galasso

Query-guided End-to-End Person Search

In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)

Long Beach, CA, USA, June 2019

[ArXiv] [project_page] [bibtex]

Bharti Munjal, Fabio Galasso and Sikandar Amin

Knowledge Distillation for End-to-End Person Search

In Proc. British Machine Vision Conference (BMVC)

Cardiff, UK 2019

[ArXiv] [bibtex]

Theodore Tsesmelis, Irtiza Hasan, Marco Cristani, Alessio Del Bue and Fabio Galasso

Human-centric light sensing and estimation from RGBD images: The invisible light switch

In Proc. IEEE Winter Conf. on Applications of Computer Vision (WACV)

Hawaii, USA, January 2019

[ArXiv] [project_page] [bibtex]

Theodore Tsesmelis, Irtiza Hasan, Marco Cristani, Fabio Galasso and Alessio Del Bue

RGBD2lux: Dense light intensity estimation with an RGBD sensor

In Proc. IEEE Winter Conf. on Applications of Computer Vision (WACV)

Hawaii, USA, January 2019

[ArXiv] [bibtex]

Vasileios Belagiannis, Azade Farshad and Fabio Galasso

Adversarial Network Compression

In Proc. European Conference on Computer Vision (ECCV)

Int. Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision

Munich, Germany, September 2018

[ArXiv] [bibtex]

Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Alessio Del Bue, Fabio Galasso and Marco Cristani

MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses

In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)

Salt Lake City, USA, June 2018

[ArXiv] [spotlight_slides] [project_page] [bibtex]

Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Alessio Del Bue, Marco Cristani and Fabio Galasso

"Seeing is Believing": Pedestrian Trajectory Forecasting Using Visual Frustum of Attention

In Proc. IEEE Winter Conf. on Applications of Computer Vision (WACV)

Lake Tahoe, USA, March 2018

[link_to_presentation] [bibtex]

Theodore Tsesmelis, Irtiza Hasan, Marco Cristani, Alessio Del Bue and Fabio Galasso

LIT: a system and benchmark for light understanding

In Proc. International Conference on Computer Vision (ICCV)

Workshop on Color and Photometry in Computer Vision

Venice, Italy, October 2017

[pdf] [bibtex]

Irtiza Hasan, Theodore Tsesmelis, Fabio Galasso, Alessio Del Bue and Marco Cristani

Tiny Head Pose Classification by Bodily Cues

In Proc. IEEE International Conference on Image Processing (ICIP)

Beijing, China, September 2017

[pdf] [bibtex]

Sikandar Amin and Fabio Galasso

Geometric Proposals for Faster R-CNN

In Proc. IEEE Int. Conf. on Advanced Video and Signal based Surveillance (AVSS)

International Workshop on Traffic and Street Surveillance

1st place in the DETRAC car detection competition

Lecce, Italy, August 2017

[pdf] [bibtex] [competition_results]

Irtiza Hasan, Theodore Tsesmelis, Alessio Del Bue, Fabio Galasso and Marco Cristani

Don't turn off the lights: Modelling of human light interaction in indoor environments

In Proc. Int. Conference on Image Analysis and Processing (ICIAP)

Catania, Italy, September 2017

[pdf] [bibtex]

Meltem Demirkus, Ling Wang, Michael Eschey, Herbert Kaestle and Fabio Galasso

People Detection in Fish-eye Top-views

In Proc. Int. Conference on Computer Vision Theory and Applications (VISAPP)

Porto, Portugal, February 2017

[pdf] [bibtex]

Wei-Chen Chiu, Fabio Galasso and Mario Fritz

Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles

In Proc. Asian Conference on Computer Vision (ACCV)

Taipei, Taiwan, November 2016

[ArXiv] [pdf] [supp pdf] [supp video] [bibtex]

Anna Khoreva, Rodrigo Benenson, Fabio Galasso, Matthias Hein and Bernt Schiele

Improved Image Boundaries for Better Video Segmentation

In Proc. European Conference on Computer Vision Workshops (ECCV W)

Amsterdam, The Netherlands, October 2016

[ArXiv] [pdf] [project_page] [bibtex]

Anna Khoreva, Fabio Galasso, Matthias Hein and Bernt Schiele

Classifier Based Graph Construction for Video Segmentation

In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)

Boston, MA, USA, June 2015

[pdf] [supplementary] [matlab_source_code] [poster] [project_page] [bibtex]

Fabio Galasso, Margret Keuper, Thomas Brox and Bernt Schiele

Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation

In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)

Columbus, Ohio, USA, June 2014

[pdf] [supplementary] [matlab_source_code] [oral_presentation_slides] [project_page] [bibtex]

Anna Khoreva, Fabio Galasso, Matthias Hein and Bernt Schiele

Learning Must-Link Constraints for Video Segmentation based on Spectral Clustering

In Proc. German Conference on Pattern Recognition (GCPR)

Muenster, Germany, September 2014

[pdf] [supp_video_54.8MB] [project_page] [bibtex]

Fabio Galasso, Naveen Shankar Nagaraja, Tatiana Jimenez Cardenas, Thomas Brox and Bernt Schiele

A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis

In IEEE International Conference on Computer Vision (ICCV)

Sidney, Australia, December 2013

[pdf] [Supplementary] [matlab_benchmark_code] [project_page] [bibtex]

Fabio Galasso, Roberto Cipolla and Bernt Schiele

Video Segmentation with Superpixels

In Asian Conference on Computer Vision (ACCV)

Daejeon, Korea, November 2012

[pdf] [supp_video_57.8MB] [matlab_source_code] [project_page] [bibtex]

Fabio Galasso, Masahiro Iwasaki, Kunio Nobori and Roberto Cipolla

Spatio-Temporal Clustering of Probabilistic Region Trajectories

In Proc. IEEE International Conference on Computer Vision (ICCV)

Barcelona, Spain, November 2011

[pdf] [supp_video_42.5MB] [project_page] [bibtex]

Vijay Badrinarayanan, Fabio Galasso and Roberto Cipolla

Label Propagation in Video Sequences

In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)

San Francisco (CA), USA, June 2010

[pdf] [project_page] [bibtex]

Fabio Galasso and Joan Lasenby

Fourier Analysis and Gabor Filtering for Texture Analysis and Local Reconstruction of General Shapes

In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)

Miami (FL), USA, June 2009

[pdf] [project_page] [bibtex]

Fabio Galasso and Joan Lasenby

Shape from Texture via Fourier analysis

In Proc. International Symposium on Visual Computing (ISVC)

Las Vegas (NV), USA, November 2008

[pdf] [project_page] [bibtex]

Fabio Galasso and Joan Lasenby

Shape from Texture of Developable Surfaces via Fourier Analysis

In Proc. International Symposium on Visual Computing (ISVC)

Lake Tahoe (NV/CA), USA, December 2007

[pdf] [project_page] [bibtex]

Fabio Galasso and Joan Lasenby

Shape from Texture: Fast Estimation of Planar Surface Orientation via Fourier Analysis

In Proc. British Machine Vision Conference (BMVC)

University of Warwick, UK, September 2007

[pdf] [project_page] [bibtex]


Other International Conferences

Our team: Barthi Munjal, Meltem Brandlmaier, Sikandar Amin and Fabio Galasso

UA-DETRAC 2018: Report of Challenge on Advanced Traffic Monitoring

In Proc. IEEE Int. Conf. on Advanced Video and Signal based Surveillance (AVSS)

3rd place in the DETRAC car tracking competition

Auckland, New Zeland, November 2018

[competition_results] [bibtex]

Our team: Sikandar Amin and Fabio Galasso

UA-DETRAC 2017: Report of Challenge on Advanced Traffic Monitoring

In Proc. IEEE Int. Conf. on Advanced Video and Signal based Surveillance (AVSS)

1st place in the DETRAC car detection competition

Lecce, Italy, August 2017

[competition_results] [bibtex]

Yi Li, Fabio Galasso and Bernhard Siessegger

True Occupancy Detection: Smart Lighting and Deep Learning Revolution

In Smart Lighting

Hamburg, Germany, May 2017

[bibtex]

Fabio Galasso and Bernhard Siessegger

True Occupancy Detection: Computer Vision meets Smart Lighting

In Smart Lighting

Milan, Italy, May 2016

[SL] [bibtex]

Bernhard Siessegger and Fabio Galasso

Beyond Occupancy Detection, Smart Sensors the enablers of tomorrow's Lighting

In Smart Sensing

Berlin, Germany, May 2015

[SS] [bibtex]

Thomas Brox, Fabio Galasso, Fuxin Li, James M. Rehg and Bernt Schiele

First International Workshop on Video Segmentation - Panel Discussion

In Proc. European Conference on Computer Vision (ECCV)

Zurich, Switzerland, September 2014

[pdf] [introductory_slides] [remarks_slides] [project_page] [bibtex]


Patents, Technical Reports and PhD Thesis

Theodore Tsesmelis, Irtiza Hasan, Fabio Galasso, Herbert Kaestle, Alessio Del Bue and Marco Cristani

A method of measuring illumination, corresponding system and computer program product

IT 102018000005381, priority date May 15th, 2018

[link_google_patents] [link_to_pdf]

Vasileios Belagiannis, Azade Farshad and Fabio Galasso

Method for producing a compressed version of an artificial neuronal network and device and storage medium (Verfahren zum Erzeugen einer komprimierten Version eines kuenstlichen neuronalen Netzwerks sowie Vorrichtung und Speichermedium)

DE 102018201290 A1, priority date January 29th, 2018

[link_google_patents] [link_to_dpma]

Fabio Galasso, Yi Li, Herbert Kaestle, Ling Wang and Bernhard Siessegger

Method for automatically controlling at least one device of a building by means of a building management system and building management system (Verfahren zum automatischen steuern zumindest eines Geraets eines Gebaeudes mittels eines Gebaeudemanagementsystems und Gebaeudemanagementsystem)

DE 102018202775 A1, priority date February 23th, 2018

[link_google_patents] [link_to_pdf]

Ling Wang, Herbert Kaestle, Fabio Galasso and Yi Li

Person recognition by way of a camera (Personenerkennung Mittels einer Kamera)

DE 102017222675 A1, priority date December 13th, 2017

Additionally filed and granted as US 20190180597 A1

[link_google_patents] [link_to_pdf]

Sikandar Amin, Fabio Galasso and Herbert Kaestle

Capturing road users on a traffic route (Erfassen von Verkehrsteilnehmern auf einem Verkehrsweg)

DE 102017215079 A1, priority date August 29th, 2017

[link_google_patents] [link_to_pdf]

Bernhard Siessegger, Fabio Galasso, Nicolau Werneck, Herbert Kaestle

Surface reconstruction of illuminated objects via photometric stereo (Oberflaechenrekonstruktion Eines Beleuchteten Objekts Mittels Fotometrischer Stereoanalyse)

DE 102017213761 A1, priority date August 8th, 2017

[link_to_wipo] [link_to_pdf]

Theodore Tsesmelis, Irtiza Hasan, Marco Cristani, Alessio Del Bue, Michael Eschey, Herbert Kaestle and Fabio Galasso

A method of identifying light source, corresponding system and computer program product

IT 102016000103146 A1, priority date October 13th, 2016

Additionally filed and granted as DE 112017005207T5, US 20190373704 A1

[link_to_wipo] [link_to_pdf]

Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Marco Cristani, Alessio Del Bue, Michael Eschey, Herbert Kaestle and Fabio Galasso

A method of view frustum detection, corresponding system and computer program product

IT 102016000103076 A1, priority date October 13th, 2016

Additionally filed and granted as US 20190250702 A1, DE 112017005182T5

[link_to_wipo] [link_to_pdf]

Herbert Kaestle, Meltem Demirkus, Ling Wang, Michael Eschey and Fabio Galasso

Detection of the presence of static objects (Praesenzdetektion bei unbewegten objekten)

DE 102016115414 A1, priority date August 19th, 2016

Additionally filed and granted as EP 3501018 A1, US 20190188492 A1

[link_google_patents] [link_to_pdf]

Herbert Kaestle, Meltem Demirkus, Ling Wang, Michael Eschey and Fabio Galasso

Training method and detection method for object recognition

DE 102016206817 A1, priority date April 21st, 2016

Additionally filed and granted as EP 3446281 A1, US 20190130215 A1

[link_to_wipo] [link_to_pdf]

Masahiro Iwasaki, Kunio Nobori, Ayako Komoto, Fabio Galasso and Roberto Cipolla

Method and Apparatus for Trajectory Estimation and Method for Segmentation

US 8948448 B2, priority date March 15th, 2010

Additionally filed and granted as EP 2548174 B1, JP 5404918 B2, CN 102473307 B

[link_to_wipo] [link_google_patents] [link_to_pdf]

Vijay Badrinarayanan, Fabio Galasso and Roberto Cipolla

Label Propagation in Video Sequences

Technical report, CUED/F-INFENG/TR-643

Department of Engineering, University of Cambridge, UK, March 2010

Fabio Galasso and Joan Lasenby

Fourier Analysis and Gabor Filtering for Texture Analysis and Local Reconstruction of General Shapes

Technical report, CUED/F-INFENG/TR-610

Department of Engineering, University of Cambridge, UK, November 2008

Fabio Galasso

Shape-From-Texture: Spectral Distortion Analysis and 3D Reconstruction Algorithms

PhD Thesis

Department of Engineering, University of Cambridge, UK, 2009