Peer-reviewed International Journals
Alessandro Flaborea, Guido Maria D'Amely di Melendugno, Stefano D'Arrigo, Marco Aurelio Sterpa, Alessio Sampieri, Fabio Galasso
Contracting Skeletal Kinematic Embeddings for Human-Related Video Anomaly Detection
In Pattern Recognition
DOI: 10.1016/j.patcog.2024.110817; 2024
Luca Scofano, Alessio Sampieri, Giuseppe Re, Matteo Almanza, Alessandro Panconesi, Fabio Galasso
About latent roles in forecasting players in team sports
In Neural Processing Letters
DOI: 10.1007/s11063-024-11532-0; 2024
Also presented (non archival) in the Workshop on International AI for Agent-Based Modelling Community (AI4ABM) at the International Conference on Learning Representations (ICLR'23)
Daniele Trappolini, Laura Laurenti, Giulio Poggiali, Elisa Tinti, Fabio Galasso, Alberto Michelini, Chris Marone
Cold Diffusion Model for seismic denoising
In Journal of Geophysical Research: Machine Learning and Computation
DOI: 10.1029/2024JH000179; 2024
Also presented in the American Geophysical Union (AGU'24)
Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Fabio Poiesi and Elisa Ricci
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation
In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
DOI: 10.1109/TPAMI.2023.3310261; 2023
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
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
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
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
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
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
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
Peer-reviewed International Conferences
Alessandro Flaborea, Guido Maria D'Amely di Melendugno, Leonardo Plini, Luca Scofano, Edoardo De Matteis, Antonino Furnari, Giovanni Maria Farinella, Fabio Galasso
PREGO: online mistake detection in PRocedural EGOcentric videos
In Proc. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR)
Seattle, USA, June 2024
Alessio Sampieri, Alessio Palma, Indro Spinelli, Fabio Galasso
Length-Aware Motion Synthesis via Latent Diffusion
In Proc. European Conference on Computer Vision (ECCV)
Milan, Italy, October 2024
Muhammad Rameez Ur Rahman, Jhony H. Giraldo, Indro Spinelli, Stéphane Lathuilière, Fabio Galasso
OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras
In Proc. International Conference on Pattern Recognition (ICPR)
Kolkata, India, December 2024
Paolo Mandica, Luca Franco, Konstantinos Kallidromitis, Suzanne Petryk, Fabio Galasso
Hyperbolic Learning with Multimodal Large Language Models
In Proc. European Conference on Computer Vision Workshops (ECCV-wks)
Workshop: Beyond Euclidean Workshop: Hyperbolic and Hyperspherical Learning for Computer Vision (ECCV Workshop 2024)
Milan, Italy, October 2024
Guido Maria D'Amely di Melendugno, Alessandro Flaborea, Pascal Mettes, Fabio Galasso
Hyp2Nav: Hyperbolic Planning and Curiosity for Crowd Navigation
In Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Abu Dhabi, UAE, October 2024
Luca Franco, Paolo Mandica, Konstantinos Kallidromitis, Devin Guillory, Yu-Teng Li, Trevor Darrell, Fabio Galasso
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
In Proc. International Conference on Machine Learning (ICML)
Vienna, Austria, July 2024
Laura Laurenti, Christopher Johnson, Elisa Tinti, Fabio Galasso, Paul Johnson, Chris Marone
Deep learning to predict time to failure of lab foreshocks and earthquakes from fault zone raw acoustic emissions
In Proc. European Geosciences Union (EGU) General Assemby
DOI: 10.5194/egusphere-egu24-14239; Vienna, Austria, May 2024
Gabriele Paoletti, Laura Laurenti, Elisa Tinti, Fabio Galasso, Cristiano Collettini, Chris Marone
Further investigations in Deep Learning for earthquake physics: Analyzing the role of magnitude and location in model performance
In Proc. European Geosciences Union (EGU) General Assemby
DOI: 10.5194/egusphere-egu24-17061; Vienna, Austria, May 2024
Alessandro Flaborea, Luca Collorone, Guido Maria D'Amely di Melendugno, Stefano D'Arrigo, Bardh Prenkaj, Fabio Galasso
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection
In Proc. IEEE/CVF International Conference on Computer Vision (ICCV)
Paris, France, October 2023
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
Luca Scofano, Alessio Sampieri, Elisabeth Schiele, Edoardo De Matteis, Laura Leal-Taixé, Fabio Galasso
Staged Contact-Aware Global Human Motion Forecasting
In Proc. British Machine Vision Conference (BMVC) (oral presentation)
Aberdeen, UK, November 2023
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
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 (best paper award)
Vancouver, Canada, June 2023
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
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
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
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
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
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
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
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
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
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
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
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
Bharti Munjal, Fabio Galasso and Sikandar Amin
Class Interference Regularization
In Proc. British Machine Vision Conference (BMVC)
Birmingham, UK 2020
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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]
![[poster]](Files/ClassifierBasedGraph/KhorevaetalCVPR15ClassifierBasedGraph.png){kind=link}
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
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
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
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
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
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
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
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
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
Yi Li, Fabio Galasso and Bernhard Siessegger
True Occupancy Detection: Smart Lighting and Deep Learning Revolution
In Smart Lighting
Hamburg, Germany, May 2017
Fabio Galasso and Bernhard Siessegger
True Occupancy Detection: Computer Vision meets Smart Lighting
In Smart Lighting
Milan, Italy, May 2016
Bernhard Siessegger and Fabio Galasso
Beyond Occupancy Detection, Smart Sensors the enablers of tomorrow's Lighting
In Smart Sensing
Berlin, Germany, May 2015
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
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
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
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
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
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
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
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
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
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
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
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