4th International Workshop on Small-drone Surveillance, Detection and Counteraction Techniques

July 8th, 2021 Daniela Lopez de Luise
*** 4th International Workshop on Small-drone Surveillance, Detection and Counteraction Techniques (WOSDETC) *** 
http://wosdetc2021.wordpress.com in conjunction with the 17th IEEE Advanced Video and Signal-based Surveillance (AVSS) conference, November 16-25 2021, Virtual

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The workshop is connected to the “Drone-vs-Bird Detection” challenge
based on a dataset of video sequences provided upon request.
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The WOSDETC workshop aims at bringing together researchers from both academia and industry, to share recent advances in the field of small-drone surveillance, detection and counteraction techniques.

In the last few years the popularity of small Remotely Piloted Aircraft Systems (RPAS) and more generally (also autonomous) “drones”, has exponentially increased due to the availability of low-cost off-the-shelf products, including build-from-scratch and DIY kits. At the same time, issues regarding safety, privacy and security aspects are arising. There is indeed a gap in current surveillance systems for the detection of such flying systems, which can be used for illegal activities such as smuggling of drugs or espionage, as well as for carrying explosives or chemical weapons. Their low cost and very small radar signature is making them, unfortunately, a favourite platform for terrorists. Several surveillance and detection technologies are under investigation at the moment, including LIDAR, passive acoustic sensors, passive radio detection and video analytics. However, several challenges must be faced to lower the probability of false alarm, increase the surveillance range and detection rate, as well as to promptly put into action the most appropriate countermeasures according to the operating scenario.

Research papers are solicited in, but not limited to, the following topics:
– dim target detection
– surveillance systems for small drones
– radar techniques for drone detection
– visible, infrared, SWIR, and gated camera solutions for small drone surveillance
– video analytics for detection and classification of small targets
– data fusion approaches for detection performance enhancement
– GPS spoofing and anti-spoofing techniques
– advanced control techniques to prevent drone misuse
– data link security for remote control of drones
– low-risk countermeasures for drones

Authors of the best papers will be invited to submit an extended version to the special issue “Deep Learning Based UAV Detection, Classification, and Tracking” of the MDPI Sensors journal.
 
Workshop Paper Submission:  September 4th, 2021
Workshop Author Notification: September 10th, 2021
Challenge Submission deadline: September 4th, 2021
Challenge Author notification: September 10th, 2021
Camera-Ready: September 15th, 2021

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Chair: Angelo Coluccia, Department of Innovation Engineering, University of Salento, Lecce, Italy (angelo.coluccia@unisalento.it)

Technical co-chairs
Alessio Fascista, University of Salento, Lecce, Italy
Arne Schumann, Fraunhofer Institute, Karlsruhe, Germany
Lars Sommer, Fraunhofer Institute, Karlsruhe, Germany

Anastasios Dimou, CERTH, Greece (dimou@iti.gr)
Dimitrios Zarpalas, CERTH, Greece (zarpalas@iti.gr)
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Two days left for submissions: 1st International Joint Conference on Learning & Reasoning (IJCLR 2021)

July 8th, 2021 Daniela Lopez de Luise

Call for papers.

The 1st International Joint Conference on Learning & Reasoning (IJCLR 2021), will take place from October 25 to 27 2021 as a fully virtual event:

http://lr2020.iit.demokritos.gr/

The conference is organized by the Institute of Informatics & Telecommunications of the National Center for Scientific Research “Demokritos”, in Athens, Greece. 

Submission deadline: July 7 2021
Submission instructions: http://lr2020.iit.demokritos.gr/papers

Scope
A crucial milestone for taking full advantage of the AI potential is the endowment of algorithms that learn from experience with the ability to consult existing knowledge and reason with what has already been learned. Integrating learning and reasoning constitutes one of the key open questions in AI, and holds the potential of addressing many of the shortcomings of contemporary AI approaches, including the black-box nature and the brittleness of deep learning, and the difficulty to adapt knowledge representation models in the light of new data. Integrating learning and reasoning calls for approaches that combine knowledge representation and machine reasoning techniques with learning algorithms from the fields of neural, statistical and relational learning.

IJCLR 2021 brings together four international conferences & workshops, addressing all aspects of combining knowledge representation & machine reasoning with statistical, neural and symbolic learning:

– The 30th International Conference on Inductive Logic Programming (ILP).
– The 15th International Workshop on Neural-Symbolic Learning & Reasoning (NeSy).
– The 10th International Workshop on Statistical Relational Artificial Intelligence (StarAI).
– The 10th International Workshop on Approaches and Applications of Inductive Programming (AAIP).

IJCLR 2021 aims at bringing together researchers and practitioners working on various aspects of learning & reasoning, via presentation of cutting-edge research on topics of special interest to the participating conferences/workshops. In addition to each of the four events' individual programs, which will be held in parallel, IJCLR aims to promote collaboration and cross-fertilization between different approaches and methodologies to integrating learning & reasoning, via joint keynotes, panel discussions and poster sessions.

Submissions are invited to each one of the conferences/workshops participating at IJCLR 2021 (ILP, NeSy, StarAI, AAIP). Paper formatting, proceedings etc. will adhere to each conference/workshop's tradition.
In addition to the separate tracks for each event there is also a “General Track”, where authors are invited to submit work that is relevant to IJCLR, but it does not necessarily fall within the scope of one of ILP, NeSy, StarAI or AAIP. Also, IJCLR invites relevant, high-quality papers to be presented at the conference, which have been recently published, or accepted for publication, by a first-class conference such as AAAI, IJCAI, NeurIPS, ECML/PKDD, ICML, KDD, ICDM, etc., or journal such as MLJ, DMKD, JMLR etc.

Submission deadlines:
Abstract submission (for ILP): July 5 2021.
Paper submission for ILP, NeSy, AAIP and the general track: July 7 2021.
Paper submission for StarAI: September 1 2021.
Late-breaking papers (for ILP): September 10 2021.
Recently published papers track: September 10 2021. 

Information and guidelines regarding paper submissions may be found here: http://lr2020.iit.demokritos.gr/papers/   

The IJCLR steering committee and organization team:

Luc De Raedt, KU Leuven, Belgium
Stephen Muggleton, Imperial College London, UK
Artur d’Avila Garcez, City University of London, UK
Ute Schmid, University of Bamberg, Germany
Cèsar Ferri, Universitat Politènica de València, Spain
Angelika Kimmig, Cardiff University, UK
Sebastijan Dumančić, KU Leuven, Belgium
Jay Pujara, University of Southern California, USA
Nikos Katzouris, NCSR “Demokritos”, Greece
Alexander Artikis, University of Pireaus & NCSR “Demokritos”, Greece

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3D-DLAD-v3 (3rd workshop) on 3D Deep Learning for Autonomous Driving at IV 2021

July 8th, 2021 Daniela Lopez de Luise
This is an invitation to attend the 3D-DLAD-v3 (3rd 3D Deep Learning for Autonomous Driving) workshop organized as a part of the flagship automotive conference Intelligent Vehicles 2021 https://2021.ieee-iv.org/.

The workshop will be held on 11th July virtually. The workshop hosts an exceptional list of invited speakers & interesting paper presentations.
The schedule of the workshop can be found here : https://sites.google.com/view/3d-dlad-v3-iv2021/schedule 

The workshop shall be streamed live on zoom, though this requires a free but necessary registration as mentioned here under free registration: https://2021.ieee-iv.org/registration/ 

Finalized Schedule : Time zone CET  
Length : Full day workshop 
09:00-09:10 : Introduction
09:10-09:40: On Monocular Depth Estimation: (1) MonoDEVS ; (2) Multi-modal Co-training, Dr. Antonio M. López
09:40-10:10: Point-based recognition, Prof. Philipp Krähenbühl
10:10-10:40: Lidar Segmentation at Motional, Venice Liong
10:40-11:10: Co-Development of Automatic Annotation for Machine Learning and Sensor Fusion Improvement System, Stefan Haag
11:10-11:40: Radar Perception for Automated Driving – Data and Methods, Ole Schumann
11:40-12:10: Perception Data Pipeline at Innoviz Technologies, Amir Day
12:10-12:30: [paper 1] The Oxford Road Boundaries Dataset, Tarlan Suleymanov*, Matthew Gadd, Daniele De Martini, Paul Newman
12:30-13:30 Lunch Break
13:30-13:50: [paper2] Unsupervised Joint Multi-Task Learning of Vision Geometry Tasks, Prabhash Kumar Jha*, Doychin Tsanev, Luka Lukic
13:50-14:10: [paper3] CFTrack: Center-based Radar and Camera Fusion for 3D Multi Object Tracking, Ramin Nabati, Landon Harris, Hairong Qi
14:10-14:30: [paper4] Machine learning based 3D object detection for navigation in unstructured environments, Gjorgji Nikolovski, Michael Reke*, Ingo Elsen, Stefan Schiffer
14:30-14:50: [paper5] Pruning CNNs for LiDAR-based Perception in Resource Constrained Environments, Manoj Vemparala*, Anmol Singh, Ahmed Mzid, Nael Fasfous, Alexander Frickenstein, Florian Mirus, Hans Joerg Voegel, Naveen Shankar Nagaraja, Walter Stechele
14:50-15:00 BREAK
15:00-15:30: Modern methods of visual localization, Dr. Martin Humenberger
15:30-16:00: All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds, Xinshuo Weng
16:00-16:30: Offboard Perception for Autonomous Driving, Charles R Qi
16:30-17:00: Using Artificial Intelligence layer to transform high-resolution radar point cloud into insights for Autonomous Driving applications, Sani Ronen
17:00-17:30: Self-supervised 3D vision, Dr. Rareș Ambruș
17:30-17:45: Closing
Workshop Organizers:
B Ravi Kiran, Navya, France
Senthil Yogamani, Valeo Vision Systems, Ireland
Victor Vaquero, Research Engineer, IVEX.ai
Patrick Perez, Valeo.AI, France
Bharanidhar Duraisamy, Daimler, Germany
Dan Levi, GM, Israel
Abhinav Valada, University of Freiburg, Germany
Lars Kunze, Oxford University, UK
Markus Enzweiler, Daimler, Germany
Ahmad El Sallab, Valeo AI Research, Egypt
Sumanth Chennupati, Wyze Labs, USA
Stefan Milz, Spleenlab.ai , Germany
Hazem Rashed, Valeo AI Research, Egypt
Jean-Emmanuel Deschaud, MINES ParisTech, France
Kuo-Chin Lien, Appen USA
Naveen Shankar Nagaraja, BMW Group, Munich
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CFP – New Dates! The 19th IEEE International Conference on Pervasive Intelligence and Computing (PICom 2021)

July 8th, 2021 Daniela Lopez de Luise
IEEE PICom 2021 –  The 19th IEEE International Conference on Pervasive
Intelligence and Computing (PICom 2021) –
http://cyber-science.org/2021/picom/

           Oct. 25-28, 2021 – Calgary, Canada (Virtual Conference)

Sponsored by IEEE, IEEE Computer Society

Supported by IEEE Technical Committee of Scalable Computing (TCSC),
IEEE SMC TC on CyberMatics and IEEE CIS Smart World TC
=================================================================
IMPORTANT DATES (NEW)
===============

Main Conference Papers
Paper Submission Due: July 15, 2021
Authors Notification: Aug. 15, 2021
Camera-ready Submission: Sept. 15, 2021

Workshop /Special Session Papers
Submission Due: Aug. 27, 2021
Author Notification Due: Sept. 21, 2021
Camera-ready Submission: Oct. 1, 2021

INTRODUCTION
=============
 Over the last fifty years, computational intelligence has evolved
from logic-based artificial intelligence, nature-inspired soft
computing, and social-oriented agent technology to cyber-physical
integrated ubiquitous intelligence towards Pervasive Intelligence
(PI). The International Conference on Pervasive Intelligence and
Computing is intended to cover all kinds of these intelligent
paradigms as well as their applications in various pervasive computing
domains. PICom-2019 is the conference on Pervasive Intelligence and
Computing, previously held as PCC (Las Vegas, USA, 2003 and 2004), PSC
(Las Vegas, USA, 2005), PCAC (Vienna, Austria, 2006, and Niagara
Falls, Canada, 2007), IPC-2007 (Jeju, Korea, December 2007), IPC-2008
(Sydney, Australia, December 2008), and since 2009 as the name PICom.
IEEE PICom 2021 will be held on 20-23 August 2021 in Calgary, Canada,
co-located with IEEE DASC 2021, CBDCom 2021 and IEEE CyberSciTech 2021.
It aims to bring together computer scientists and engineers, to
discuss and exchange experimental and theoretical results,
work-in-progress, novel designs, and test-environments or test-beds in
the important areas of Pervasive Intelligence and Computing.

 TRACKS AND TOPICS
================
Track 1: Computational Intelligence
Track 2: Intelligent Networks, Middleware and Applications
Track 3: Pervasive Computing and Activity/Affect Recognition
Track 4: Smart Object, Environment, System and City

Topics of interests include, but are not restricted to:

* Deep Learning and Deep Computation
* Big Data and Smart Data
* Brain-inspired Computing
* Crowdsourcing and Social Computing
* Collective Intelligence
* Agent-based Computing
* Ubiquitous Intelligence
* Cyber-Physical Computing
* The Internet of Things
* Embedded HW, SW and Systems
* Pervasive Devices and RFIDs
* Wearable Devices and Applications
* Sensor Technology and Networks
* Pervasive Networks/Communications
* Edge and Fog Computing
* Device Virtualization
* Privacy, Security and Trust
* Context-Aware Computing
* Mobile Data Mining
* Ubiquitous Data Mining
* Activity Recognition
* Intelligent Cloud Computing
* Services for Pervasive Computing
* Smart Cities and Smart Homes
* Intelligent Social Networking
* HCI for Pervasive Computing
* Mobile Data Modeling
* Middleware for Pervasive Computing
* Intelligent/Smart IoT
* Programming Abstractions for IoT
* Semantic Analysis

==========================
 IEEE PICOM 2021 CALLS FOR

* Regular conference paper: 6 – 8 pages, submitted to one of the tracks
* WiP/workshop/special session paper: 4-6 pages, and poster paper: 2-4 pages
* Late breaking innovation paper: We seek the latest research and
development work. The submission can be of any type, and will be
allocated by the Program Chair to a suitable Regular,
Work-in-Progress, or Poster tracks

* All submissions in the IEEE CS proceedings format
* Papers should be submitted via EDAS
https://www.edas.info/newPaper.php?c=28402) in the proper track.

PROCEEDINGS
==========================
* All accepted papers will be published by IEEE (IEEE-DL and EI
indexed) in Conference Proceedings.
* Best Paper Awards will be granted to high quality papers.
* Selected papers will be recommended to prestigious journal special issues.

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IEEE ICCI*CC’21 submission deadline extended: >>Computational Intelligence, Cognitive Informatics, Cognitive Computing, and Cognitive Machine Learning

July 8th, 2021 Daniela Lopez de Luise
Dear Colleague, 


Upon numerical requests, the deadline for paper submission to IEEE ICCI*CC’21 (The 20th IEEE International Conference on Cognitive Informatics & Cognitive Computing) has been extended to July 31, 2021 (https://www.i2cicc.org/ieee-iccicc21). Special session proposals and short papers are welcome. The Proceedings of ICCI*CC'21 will be published by IEEE CS Press (indexed by EI). Selected papers will be published in SCI and EI indexed journals.

Full papers are expected to be around 5-8 pages in IEEE double column format. Short papers (4-5 pages) that report industrial experience, case studies, work in progress, or graduate students’ research are also welcome. Paper submission site is at https://easychair.org/conferences/?conf=ieeeiccicc21 . Basic research and advanced topics of may be found at https://www.i2cicc.org/ .  
 
We look forward to meeting you at IEEE ICCI*CC’21 during Oct. 29-31, 2021. 
 
Sincerely, 

Prof. Y. Wang, FIEEE, FBCS, F!2CICC, FAAIA, FWIF   
IEEE ICCI*CC'21 Co-Chair
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