PRAConBE – Pattern Recognition and Automation in Construction & the Built Environment

September 8th, 2020 Daniela Lopez de Luise

CALL FOR PAPERS

 

ICPR 2020 Workshop on: “Pattern Recognition and Automation in Construction & the Built Environment” (PRAConBE 2020)

https://praconbe2020.iti.gr/ – CfP in PDF: https://praconbe2020.iti.gr/ICPR_PRAConBE_2020_CfP.pdf

The 25th International Conference on Pattern Recognition (ICPR 2020)

10-15 January 2021, Milan, Italy

https://www.micc.unifi.it/icpr2020/

 

The workshop covers a topic that is rapidly gaining attention in the recent years, with a continually increasing number of research papers, research groups, projects and applications in various subfields of applying pattern recognition-related methods to automating different facets of the construction and renovation process. The architecture, engineering and construction industry, an economic sector of significant importance (annual revenues of approx. US$10 trillion, or about 6% of global GDP), is expected to be radically transformed by digitalizing ever more aspects of the construction model, thereby boosting productivity, managing complexity and enhancing worksite safety and quality. Pattern recognition is central to this process of transformation, with computer vision, signal & image processing, machine learning applications increasingly finding uses of great impact to the field. At the same time, as novel problems arise corresponding to new applications in automating construction, the need for novel models and methods of pattern recognition is becoming ever-more urgent, in a process that is revitalizing and beneficial for both pattern recognition as a research field, as well as the construction industry.

We warmly welcome contributions of papers targeting the workshop scope, which includes the following topics:

  • Pattern recognition for construction planning
  • Structural asset detection
  • Vision and Perception
  • Process simulation models
  • Defect & Crack detection
  • Automated construction progress assessment
  • Energy efficiency estimation
  • Scan-to-BIM and Scan-vs-BIM
  • Augmented & Mixed reality
  • Automatic demand response flexibility estimation
  • Uses of UAVs and Pattern Recognition in construction
  • Decision support systems
  • Management of constructed facilities
  • Energy efficiency estimation
  • Robot vision for construction applications
  • Robot path and motion planning in construction sites
  • Robot multimodal perception in construction
  • Human robot interaction and safety issues in construction sites

Keynote Speaker

Frédéric Bosché, Senior Lecturer in Infrastructure Programme Management, University of Edinburgh,

Speech title: “Recent advances in automation in construction”

 

Important Dates

Paper Submission Deadline:           October 10, 2020

Author Notification:                         November 10, 2020

Final Manuscript Due:                      November 15, 2020

Workshop:                                          January 10, 2021

 

Workshop Paper Submissions

Conference papers will be submitted electronically through the workshop submission service website
(https://easychair.org/conferences/?conf=praconbe2020 ), with PDF format.

For further information on the papers submission process, please visit the workshop website: https://praconbe2020.iti.gr/

 

Workshop Co-Chairs

Giorgos Sfikas, Visiting Lecturer at the University of Ioannina, sfikas@iti.gr

Athanasios Tsakiris, Senior Research Associate at CERTH/ITI, atsakir@iti.gr
Dimitrios Giakoumis, Postdoctoral Research Associate at CERTH/ITI, dgiakoum@iti.gr
Dimosthenis Ioannidis, Senior Researcher, Grade C' at CERTH/ITI, djoannid@iti.gr
Dimitrios Tzovaras, Director of Research at CERTH/ITI, Dimitrios.Tzovaras@iti.gr

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Call for papers Manifold Learning from Euclid to Riemann ICPR Workshop

September 8th, 2020 Daniela Lopez de Luise

“> https://sites.google.com/view/manlearn2020/

We are organizing the Manifold Learning from Euclid to Riemann Workshop In Conjunction with the 25th International Conference On Pattern Recognition, Milan, Italy 10 – 15 January 2021

We encourage discussions on recent advances, ongoing developments, and novel applications of manifold learning, optimization, feature representations and deep learning techniques. We are soliciting original contributions that address a wide range of theoretical and practical issues including, but not limited to:

Theoretical Advances related to manifold learning such as

·  Dimensionality Reduction (e.g., Locally Linear Embedding, Laplacian Eigenmaps and etc.)

·  Clustering (e.g., discriminative clustering)

·  Kernel methods

·  Metric Learning

·  Time series on non-linear manifolds

·  Transfert learning on non-linear manifolds

·  Generative Models on non-linear manifolds

·  Subspace Methods (e.g., Subspace clustering)

·  Advanced Optimization Techniques (constrained and non-convex optimization techniques on non-linear manifolds)

·  Mathematical Models for learning sequences

·  Mathematical Models for learning Shapes

·  Deep learning and non-linear manifolds

·  Low-rank factorization methods

Applications: 

·  Biometrics

·  Image/video recognition

·  Action/activity recognition

·  Facial expressions recognition

·  Learning and scene understanding

·  Medical imaging

·  Robotics

·  Other related topics not listed above

Special Issue: We will also invite selected papers for submission to a special issue on
Learning with Manifolds  in computer vision in IMAGE AND VISION COMPUTING Journal. https://www.journals.elsevier.com/image-and-vision-computing/call-for-papers/special-issue-on-learning-with-manifolds-in-computer-vision

Important Dates

  • Workshop submission deadline: October 10th

  • Workshop author notification: November 10th

  • Camera-ready submission: November 15th

  • Finalized workshop program: December 1st

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DeepLearn 2021 Winter: early registration September 14

September 8th, 2020 Daniela Lopez de Luise
******************************************************************
 
4th INTERNATIONAL SCHOOL ON DEEP LEARNING
 
DeepLearn 2021 Winter
 
Milan, Italy
 
January 11-15, 2021
 
Co-organized by:
 
Department of Information Engineering
Marche Polytechnic University
 
Institute for Research Development, Training and Advice – IRDTA
Brussels/London
 
https://irdta.eu/deeplearn2021w/
 
******************************************************************
 

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CFP: SI Combinatorial Optimization in Imaging Sciences

September 8th, 2020 Daniela Lopez de Luise
We would like to invite you to submit a paper to the  Special Issue of the Journal of Combinatorial Optimization (Springer) devoted to Combinatorial Optimization in Imaging Sciences.

The topics of interest include (but are not limited to):

  • Optimization problems in discrete geometry for computer imagery
  • Combinatorial optimization problems on digital manifolds
  • Integer programming models and solutions
  • Graph formulations and algorithms for imaging problems
  • Extremal combinatorial properties of digitized sets
  • Combinatorial optimization for topological image analysis
  • Combinatorial algorithms for processing very large digital images
  • Compressed image representation and parallel algorithms for processing massive data sets
  • Artificial intelligence and optimization
  • Neural networks and machine learning for image analysis and processing.
The submission deadline is October 15, 2020. The accepted papers are expected to appear in May 2021.
If you have any questions, please direct them to the Guest Editors Reneta Barneva (barneva@fredonia.edu) and Tibor Lukic (tibor@uns.ac.rs)
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International Workshop on Pattern Forecasting — CfP due Oct 10th 2020

September 8th, 2020 Daniela Lopez de Luise
May I draw your attention on an upcoming workshop on Pattern Forecasting (PATCAST), to gather scientific contributions on forecasting, both regarding the general theory and its manifold applications across the various fields of science (computer vision, NLP, machine learning, robotics, finance, environmental sciences, bioinformatics etc.)

Paper contributions are due on October 10th, 2020
Please consider submitting and participating.
And please spread the news.
The workshop would be at ICPR, on January 11th 2021.

More details in the CfP below and at: https://sites.google.com/di.uniroma1.it/patcast

Best regards,
Fabio

(We apologize if you receive multiple copies of this message.)

************************************************************************
PATCAST 2020
International Workshop on Pattern Forecasting
https://sites.google.com/di.uniroma1.it/patcast
January 11th, 2021, Milan, Italy
in association with ICPR 2020
************************************************************************
>> PAPER submission:         October 10th, 2020<<
************************************************************************

CALL FOR PAPERS
Anticipating patterns has become a crucial activity in the last years, due to the combined availability of huge amount of data, techniques for exploiting noisy information, transferring knowledge across domains, and the need of forecasting services within many heterogeneous domains, from computer science to environmental sciences, from economics to robotics and from bioinformatics to social sciences and humanities. A growing spectrum of applications in self-driving cars, weather forecasting, financial market prediction, real-time epidemic forecasting, and social network modeling needs to be explored within a same venue. This workshop aims therefore to identify commonalities, gather lessons learnt across domains, discuss modern and most successful techniques, and foster the exchange of new ideas, which may extend to other novel fields too.

The International Workshop on Pattern Forecasting addresses the general problem of forecasting patterns. This is not just limited to a specific domain, but rather intended as cross-fertilization of different disciplines. By doing so, it seeks to highlight possible general-purpose approaches which may be applied to a large span of data types, promoting and motivating further studies in specific directions. As an example, techniques for predicting the diffusion of epidemics are currently adopted to forecasting activities within social networks. We are convinced that many other hybridations are ready to be explored.

We plan a number of invited talks by senior scientists from different domains, an extensive poster session for stimulating collaborations among young researchers, and a final panel to gather the major challenges emerged in the day and the effective techniques. We anticipate fructuous discussion on the relation between techniques and challenges and on the adoption of techniques beyond those fields where they have been originally designed.

SCOPE
The workshop seeks contributions from researchers and practitioners from different domains, to share current best algorithms and practices, to foster discussion among diverse communities and to define common grounds for joint progress, within the general artificial intelligence and pattern recognition.

The topics of interest for the convention include, but are not limited to, the following areas:
– Forecasting in computer science, environmental sciences, economics, robotics, bioinformatics, social sciences, humanities
– Short term/long term prediction
– Structured input/structured output forecasting
– Distributed (cloud) forecasting
– Real-time forecasting
– Hierarchical forecasting
– Judgemental forecasting
– Integration of system dynamics and forecasting models
– Performance measurement
– Knowledge sharing and organisational learning
– Forecasting visual patterns/styles
– Pedestrian/vehicle trajectory forecasting
– Forecasting for Industry 4.0
– Predictive maintenance
– Weather forecasting
– Earthquakes/eruption forecasting
– Econometric Forecasting
– Financial Forecasting and Risk Analysis
– Forecasting and Planning Systems
– Forecasting Electricity Load and Prices
– Forecasting for Workforce Management
– Forecasting Support Systems (FSS)
– Intermittent Demand Forecasting (Forecasting of Count Series)
– Robot planning
– Intention prediction
– forecasting for genomics
– Virality/trend prediction into social networks
– Forecasting as product recommendation

IMPORTANT DATES
– Workshop date: January 11th
– Paper submission deadline: October 10st
– Paper author notification:  November 10th
– Camera-ready submission: November 15th
– Finalized workshop program: December 1st

INVITED SPEAKERS
– Pratik Prabhanjan Brahma, Volkswagen, Belmont, CA
– Thomas Brox, University of Freiburg, DE
– Carolina García Martos, Universidad Politécnica de Madrid, ES
– Marco Pavone, Stanford University, CA
– Giovanni Maria Farinella, University of Catania, IT
– Marco Bee, University of Trento, IT
– Dino Zardi, University of Trento, IT
– Novella Bartolini, Sapienza University, IT

ORGANIZATION
Workshop Organizers:
– Marco Cristani, University of Verona, marco.cristani@univr.it
– Kris Kitani, Carnegie Mellon University, kkitani@cs.cmu.edu
– Fabio Galasso, Sapienza University, galasso@di.uniroma1.it
– Siyu Tang, ETH Zürich, siyu.tang@tuebingen.mpg.de

PROGRAM COMMITTEE
Further to the organizers, a panel of external reviewers would be employed in the program committee, including:
– Sikandar Amin (OSRAM)
– Bharti Munjal (TUM)
– Nick Rhinehart (UC Berkeley)
– Wei-Chiu Ma (MIT)
– De-An Huang (Stanford)
– Namhoo Lee (Oxford)
– Ye Yuan (CMU)
– Yan Zhang (MPI Intelligent Systems)
– Miao Liu (Georgia Tech)
– Qiuhong Ke (University of Melbourne)
– Giorgio Roffo (University of Glasgow)
– Francesco Setti (University of Verona)

SUBMISSION INSTRUCTIONS
Submissions must be formatted in accordance with the Springer's Computer Science Proceedings guidelines (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines) as full paper (12-15 pages). Accepted manuscripts will be included in the ICPR 2020 Workshop Proceedings Springer volume. Once accepted, at least one author is expected to attend the event and present the paper. Papers will be presented as posters, since orals will be dedicated to invited talks.
Submission would be done via Microsoft CMT3:
https://cmt3.research.microsoft.com/PATCAST2021

RESOURCES
Webpage:
https://sites.google.com/di.uniroma1.it/patcast

Prof Fabio Galasso
Sapienza University

+39 345 5969678
https://fgalasso.bitbucket.io/

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