( 6th Proceedings by Springer ) ICTCS 2021 – Jaipur, India

July 28th, 2021 Daniela Lopez de Luise

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6th ( Proceedings by Springer )  ICTCS 2021 | 17 – 18 December 2021 | Jaipur, India.

Sixth International Conference on Information and Communication Technology for Competitive Strategies (ICTCS-2021) : https://ictcs.in/

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Important Date :
– 13 August 2021 : Paper Submission Deadline

Publication : All ICTCS 2021 presented papers will be published in conference proceedings by Springer LNNS. ISSN: 2367-3370, Series : https://www.springer.com/series/15179

Indexing : The books of this series are submitted to SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago. All books published in the series are submitted for consideration in Web of Science

Papers Submission : Submissions of high quality papers in all areas of ICT and its applications.The submissions are handled only through the website at: https://ictcs.in/ictcs.php#section04

Organizing & Associated Partners : Global Knowledge Research Foundation, InterYIT – IFIP, Springer, Knowledge Chamber of Commerce and Industry. 

Venue : Hotel Four Points by Sheraton – Jaipur, India

Dear Friends and Colleagues,

Sixth International Conference on Information and Communication Technology for Competitive Strategies (ICTCS-2021) will be held at Jaipur, Rajasthan, India – 17th and 18th December. ICTCS-2021 will target state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for Engineering and Managerial Applications. The objective of this International conference is to provide opportunities for the Researchers, Academicians, Industry persons and students to interact and exchange ideas, experience and expertise in the current trend and strategies for Information and Communication Technologies. Besides this, participants will also be enlightened about vast avenues, current and emerging technological developments in the field of ICT in this era and its applications, will be thoroughly explored and discussed.

The topics of interest include but are not limited to the following :

  • Track 1: ICT FOR INFRASTRUCTURE AND COMPUTATION
  • Track 2: ICT FOR ENGINEERING APPLICATIONS
  • Track 3: ICT FOR E-GOVERNANCE AND GOVERNMENT
  • For more : https://ictcs.in/ictcs.php#section06

Authors are kindly invited to submit their formatted full papers including results, tables, figures, and references. All submissions are handled through the website at https://ictcs.in/ictcs.php#section04

For any query, Please write mail on conference.ictcs@gmail.com or contact Conference Secretary : +91-72010-90504.

Sincerely Yours – Convener ICTCS 2021

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Invitation for the 2021 Summer e-School on Deep Learning and Computer Vision, 23-27th August 2021, Aristotle University of Thessaloniki, Thessaloniki, Greece

July 28th, 2021 Daniela Lopez de Luise

you are welcomed to register to the 2021 Summer e-School on Deep Learning and Computer Vision:

http://icarus.csd.auth.gr/aiia-summer-school-on-autonomous-systems-2021/

It will take place on 23-27/08/2021 and will be hosted by the Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece.

 

The summer e-school consists of two short e-courses:

a) ‘Short Course Computer Vision and Deep Learning 2021’, 23–24th August 2021, having focus on autonomous drones, cars and marine vessels:

http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vision-for-autonomous-systems-2021/

b) ‘Programming short course and workshop on Deep Learning and Computer Vision 2021’, 25-27th August 2021, with applications in digital media and autonomous drones:

http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-for-autonomous-systems-2021/

 

You can follow the above-mentioned links for registration on either or both e-courses.

For questions, please contact: Ioanna Koroni <koroniioanna@csd.auth.gr>

 

The first e-course contains 16 live (and recorded) lectures providing an in-depth presentation of computer vision and deep learning problems algorithms with applications on autonomous drones, cars and marine vessels.

The second programming short e-course and workshop offers a mix of live (and recorded) lectures and programming workshops (hands-on lab exercises) and aims at developing registrants’ programming skills for Deep Learning and Computer Vision, with focus on drone imaging/cinematography and digital media applications.

 

Both short e-courses are organized by Prof. I. Pitas, IEEE and EURASIP fellow, He is AUTH prime investigation for H2020 project AerialCore, Coordinator of the European Horizon2020 R&D project Multidrone, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece and Chair of the IEEE SPS Autonomous Systems Initiative. He is ranked 249 top Computer Science and Electronics Scientist internationally by Guide2research (2018).

 

Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally.

 

Relevant links:

  1. European Horizon2020 R&D projects Aerial-Core: https://aerial-core.eu/, Multidrone: https://multidrone.eu/, AI4Media: https://ai4media.eu/
  2. AIIA Lab: http://www.aiia.csd.auth.gr/
  3. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el

 

 

Course descriptions

 

a) ‘Short Course Computer Vision and Deep Learning 2021’, 23-24th August 2021.

 

http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vision-for-autonomous-systems-2021/

 

Part A (8 hours), Computer vision topic list

  1. Introduction to autonomous systems imaging
  2. Digital Image and Videos
  3. Camera geometry
  4. Stereo and Multiview imaging
  5. Introduction to Artificial Neural Networks. Perceptron
  6. Multilayer perceptron. Backpropagation
  7. Deep neural networks. Convolutional NNs
  8. Introduction to multiple drone imaging

 

Part B (8 hours) Deep learning topic list

  1. Simultaneous Localization and Mapping
  2. Neural Slam
  3. Deep object detection
  4. 2D Visual Object Tracking
  5. Drone mission planning and control
  6. Introduction to car vision
  7. Introduction to autonomous marine vehicles
  8. CVML Software development tools

 

 

b)  ‘‘Programming short course and workshop on Deep Learning and Computer Vision 2021’, 25-27th August 2021.

 

http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-for-autonomous-systems-2021/

 

Part A (8 hours), Deep learning and GPU programming sample topic list

  1. Introduction to autonomous systems
  2. Deep neural networks. Convolutional NNs
  3. Parallel GPU and multi-core CPU architectures – GPU programming
  4. Image classification with CNNs.
  5. CUDA programming

 

Part B (8 hours), Deep Learning for Computer Vision sample topic list

  1. Deep learning for object/face detection
  2. 2D object tracking
  3. PyTorch: Understand the core functionalities of an object detector. Training and deployment.
  4. OpenCV programming for object tracking

 

Part C (8 hours), Autonomous UAV cinematography sample topic list

  1. Video summarization
  2. UAV cinematography
  3. Video summarization with Pytorch
  4. Drone cinematography with Airsim

 

 

Sincerely yours

Prof. I. Pitas

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Continual Semi-Supervised Learning @ IJCAI 2021 – Call for participation

July 28th, 2021 Daniela Lopez de Luise
We warmly invite all machine learning researchers to participate in the upcoming IJCAI 2021 First International Workshop on Continual Semi-Supervised Learning

https://sites.google.com/view/sscl-workshop-ijcai-2021/

The aim of this workshop is to formalise this new continual semi-supervised learning paradigm, and to introduce it to the machine learning community in order to mobilise effort in this direction. We present the first two benchmark datasets for this problem, derived from significant computer vision scenarios, and propose the first Continual Semi-Supervised Learning Challenges to the research community.

To attend, please follow IJCAI guidelines for workshop registration (early bird $80):
https://ijcai-21.org/registration-information/

Format —————————————————————————————————————–
The workshop is a full-day event, scheduled in two halves (see below) taking place on Thursday 19th August and Friday 20th August.
The event will be hosted on Gather Town, and will also be recorded via Zoom.
The programme is a blend of invited talks, oral presentations from the two award-winning papers, two poster sessions and a panel on the future of continual learning.

 

August 19 – 14:00 – 18:00 UTC

14:00

Opening remarks

 

 

 

14:10-15:10

 

 

 

Presentation of the benchmarks and challenges

 

15:10-15:40

 

Invited talk #1 – Razvan Pascanu

 

15:40-16:10

 

Invited talk #2 – Bing Liu

 

16:10-16:30

 

Coffee break

 

 

 

16:30-17:30

 

 

 

Poster session 1

 

17:30:18:00

 

Best student paper award oral presentation

 

August 20 – 14:00 – 18:00 UTC

 

14:00-14:30

 

Best paper oral presentation

 

 

 

14:30-15:30

 

 

 

Poster session 2

 

15:30-15:50

 

Coffee break

 

15:50-16:20

 

Invited talk #3 – Tinne Tuytelaars

 

16:20-16:50

 

Invited talk #4 – Chelsea Finn

 

 

 

16:50-17:50

 

 

 

Panel on future of continual learning

 

17:50-18:00

 

Award ceremony and closing remarks

Challenges ————————————————————————————————————

With this workshop we intend to propose to the community both a continual activity recognition (CAR) challenge and a continual crowd counting (CCC) challenge.

https://sites.google.com/view/sscl-workshop-ijcai-2021/challenges

based on a newly released Continual Activity Recognition (CAR) dataset, derived from a fraction of the MEVA (Multiview Extended Video with Activities) activity detection dataset (https://mevadata.org/), and a Continual Crowd Counting (CCC) dataset, derived from sequences from the Mall, UCSD and  FDST datasets.
Invited speakers —————————————————————————————————–
Razvan Pascanu (Deepmind)
Tinne Tuytelaars (KU Leuven)
Chelsea Finn (Stanford)
Bing Liu (University of Illinois at Chicago)

Accepted Papers —————————————————————————————————-


Lucas Caccia and Joelle Pineau  

SPeCiaL: Self-Supervised Pretraining for Continual Learning
(Best Paper Award)

Dhanajit Brahma, Vinay Kumar Verma and Piyush Rai
Hypernetworks for Continual Semi-Supervised Learning  

(Best Student Paper Award)

Jiangpeng He and Fengqing Zhu 
Unsupervised Continual Learning Via Pseudo Labels

Luca Monorchio, Marco Capotondi, Mario Corsanici, Wilson Villa, Alessandro De Luca and Francesco Puja 
Transfer and Continual Supervised Learning for Robotic Grasping through Grasping Features
Mahardhika Pratama, Andri Ashfahani and Edwin Lughofer 
Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approach
Enrico Meloni, Alessandro Betti, Lapo Faggi, Simone Marullo, Matteo Tiezzi and Stefano Melacci 
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments
Qihan Yang, Fan Feng and Rosa H.M. Chan 
A Benchmark and Empirical Analysis for Replay Methods in Continual Learning
Andrea Rosasco, Antonio Carta, Andrea Cossu, Vicenzo Lomonaco and Davide Bacciu 
Distilled Replay: Overcoming Forgetting through Synthetic Samples
Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan and Yu Cao 
Self-supervised Novelty Detection for Continual Learning: A Gradient-based Approach Boosted by Binary Classification
Hermann Blum, Francesco Milano, René Zurbrügg, Roland Siegwart, Cesar Cadena and Abel Gawel 
Self-Improving Semantic Perception for Indoor Localisation
Sungmin Cha, Beomyoung Kim, Youngjoon Yoo and Taesup Moon 
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning

Ajmal Shahbaz, Salman Khan, Mohamad Asiful Hossain, Vincenzo Lomonaco, Kevin Cannons, Zhan Xu and Fabio Cuzzolin

International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines

 

Organising committee ———————————————————————————————-

Fabio Cuzzolin (Oxford Brookes University)
Kevin Cannons (Huawei Technologies Canada)
Vincenzo Lomonaco (University of Pisa and ContinualAI)
Irina Rish (University of Montreal and MILA)
Salman Khan (Oxford Brookes University)
Mohamad Asiful Hossain (Huawei Technologies Canada)
Ajmal Shahbaz (Oxford Brookes University)

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IEEE SSCI 2021: Submission deadline extension to 20th August

July 28th, 2021 Daniela Lopez de Luise

****** Deadline Extension IEEE SSCI 2021 ******

We extend the submission deadline by two weeks to 20th August, to provide our scientific community enough time for submissions. This is a hard deadline and the submission page will close on 20th August at 11:59 pm (Hawaii time zone). 

 

**********************************************************
Call for Papers
IEEE Symposium Series on Computational Intelligence (SSCI) 2021

December 4 – 7, 2021 
Orlando, Florida
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We would like to invite you to join the IEEE SSCI 2021. IEEE SSCI 2021 will feature a large variety of exciting scientific activities on the latest theory, algorithms, applications and emerging topics on computational intelligence: Symposia, Special Sessions, Tutorials, Plenary Talks, Keynote Talks, Competitions and Panel Discussions. For detailed information refer to the conference webpage: https://attend.ieee.org/ssci-2021/  

We are carefully monitoring the current situation concerning COVID-19. At this stage the conference is planned to take place in a hybrid format in Orlando, Florida from 4th to the 7th of December 2021.

Submit your paper here.


Important dates:

Paper Submissions: August 6th 2021 August 20th 2021
Paper Acceptance: September 17th 2021  October 1st 2021
Camera ready Paper: October 15th 2021 
Early Registration: October 15th 2021
Conference dates: December 4th to 7th 2021

Already looking forward to meeting you – hopefully in person in Orlando – at IEEE SSCI 2021!

Best regards
The IEEE SSCI 2021 Organizing Committee
General Chairs: Keeley Crockett, UK and Sanaz Mostaghim, Germany

Program Chairs: Alice Smith, USA and Carlos A. Coello Coello, Mexico
Finance Chair: Piero Bonissone, USA
Submission Chair: Nicolò Navarin, Italy
Publications Chairs: Dipti Srinivasan, Singapore and Anna Wilbik, Netherlands
Conflict of Interest Chair: Marley Vellasco, Brazil
Registration Chairs: Julia Cheung, Taiwan and Steven Corns, USA
Keynote Chairs: Gary Yen, USA and Manuel Roveri, Italy, Bernadette Bouchon-Meunier, France
Tutorial Chair: Sansanee Auephanwiriyakul, Thailand, Dan Ashlock Canada, Manuel Roveri, Italy
Special Session Chair: Marde Helbig, Australia
Local Organizing Chair: Zhen Ni, USA
Travel Grant Chair: Pauline Haddow, Norway
Whova Chair: Albert Lam, Hong Kong
Conference Activities Chair: Bing Xue, New Zealand
Social Event Chair: Jo-Ellen Synder, USA
Publicity Chairs: Jialin Liu, China, Joao Carvalho, Portugal and Matt Garrat, Australia, Jen-Wei Huang, Taiwan

 

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workshop on advances in intelligent systems: deadline extended to August 15, 2021

July 28th, 2021 Daniela Lopez de Luise

LAST CALL FOR PAPERS, Workshop SC-AIS-2021, Mexico

SC-AIS-2021, International Workshop on Soft Computing and Advances in Intelligent Systems,

Dedicated to 100th Anniversary of Lotfi A. Zadeh’s Birth

October 25 to 30, 2021, Mexico City, Mexico,

(virtual/on-site at your choice)

Organized by Centro de Investigación en Computación (CIC) de Instituto Politécnico Nacional (IPN) and Mexican Society for Artificial Intelligence (SMIA).

WEB page of the Workshop:

https://sites.google.com/view/sc-ais-2021/home

The accepted papers will be published in several Special Issues of Journals.

Please see the Paper Submission page.

The Deadlines for paper submission are extended to August 15, 2021.

SC-AIS-2021 will be collocated with

MICAI 2021, 20th Mexican International Conference on Artificial Intelligence, October 25 to 30, 2021, Mexico City, Mexico, http://www.micai.org/2021/

(virtual / on-site, at your choice),

organized by Mexican Society for Artificial Intelligence (SMIA) and by CIC IPN

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