Workshop website: https://tub-rip.github.io/eventvision2023/
Timeline:
- Paper submission deadline: March 20, 2023. Submission website (CMT)
- Demo abstract submission: March 20, 2023
- Notification to authors: April 3, 2023
- Camera-ready paper: April 8, 2023 (firm deadline by IEEE)
- Workshop day: June 19, 2023. 2nd day of CVPR. Full day workshop.
This workshop is dedicated to event–based cameras, smart cameras, and algorithms processing data from these sensors. Event–based cameras are bio-inspired sensors with the key advantages of microsecond temporal resolution, low latency, very high dynamic range, and low power consumption. Because of these advantages, event–based cameras open frontiers that are unthinkable with standard frame-based cameras (which have been the main sensing technology for the past 60 years). These revolutionary sensors enable the design of a new class of algorithms to track a baseball in the moonlight, build a flying robot with the agility of a bee, and perform structure from motion in challenging lighting conditions and at remarkable speeds. These sensors became commercially available in 2008 and are slowly being adopted in computer vision and robotics. In recent years they have received attention from large companies, e.g., the event-sensor company Prophesee collaborated with Intel and Bosch on a high spatial resolution sensor, Samsung announced mass production of a sensor to be used on hand-held devices, and they have been used in various applications on neuromorphic chips such as IBM’s TrueNorth and Intel’s Loihi. The workshop also considers novel vision sensors, such as pixel processor arrays (PPAs), which perform massively parallel processing near the image plane. Because early vision computations are carried out on-sensor, the resulting systems have high speed and low-power consumption, enabling new embedded vision applications in areas such as robotics, AR/VR, automotive, gaming, surveillance, etc. This workshop will cover the sensing hardware, as well as the processing and learning methods needed to take advantage of the above-mentioned novel cameras.
Call for Papers and Demos:
Research papers and demos are solicited in, but not limited to, the following topics:
- Event–based / neuromorphic vision.
- Algorithms: motion estimation, visual odometry, SLAM, 3D reconstruction, image intensity reconstruction, optical flow estimation, recognition, feature/object detection, visual tracking, calibration, sensor fusion (video synthesis, visual-inertial odometry, etc.).
- Model-based, embedded, or learning-based approaches.
- Event–based signal processing, representation, control, bandwidth control.
- Event–based active vision, event–based sensorimotor integration.
- Event camera datasets and/or simulators.
- Applications in: robotics (navigation, manipulation, drones…), automotive, IoT, AR/VR, space science, inspection, surveillance, crowd counting, physics, biology.
- Biologically-inspired vision and smart cameras.
- Near-focal plane processing, such as pixel processor arrays (PPAs).
- Novel hardware (cameras, neuromorphic processors, etc.) and/or software platforms, such as fully event–based systems (end-to-end).
- New trends and challenges in event–based and/or biologically-inspired vision (SNNs, etc.).
- Event–based vision for computational photography.
- A longer list of related topics is available in the table of content of the List of Event–based Vision Resources
Courtesy presentations:
We also invite courtesy presentations of papers relevant to the workshop that are accepted at CVPR main conference or at other peer-reviewed conferences or journals. These presentations provide visibility to your work and help build a community around the topics of the workshop. These contributions will be checked for relevance to the workshop, but will not undergo a complete review, and will not be published in the workshop proceedings. Please contact the organizers to make arrangements to showcase your work at the workshop.
Author guidelines:
Organizers:
- Guillermo Gallego, TU Berlin, ECDF, SCIoI (Germany)
- Davide Scaramuzza, University of Zurich (Switzerland)
- Kostas Daniilidis, University of Pennsylvania (USA)
- Cornelia Fermüller, University of Maryland (USA)
- Davide Migliore, Prophesee (France)
CFP 20-23 Sept 2023 Cairo Egypt
February 7th, 2023 
Daniela Lopez de Luise *Apologies if you receive multiple copies of this CFP*
The 9th International Conference on Advanced Intelligent Systems and Informatics, (AISI’2023) will be held in Port Said, Egypt during Sept. 20-22 AISI’2023
http://egyptscience.net/AISI2023/home.html
We welcome your participation and contribution to the 9th International Conference on Advanced Intelligent Systems and Informatics (AISI’23) held in Cairo, Egypt, from Sept. 20-22, 2023. The 9th edition of AISI will be organized by the Scientific Research Group in Egypt (SRGE) in collaboration with the Port Said University, Egypt. AISI is organized to provide an international forum that brings together those who are actively involved in the areas of interest and to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of informatics and intelligent systems, technologies, and applications. All accepted papers will be published in the conference proceeding, which will be published by Springer (Approved) in the series of Lecture Notes on Data Engineering and Communications Technologies, https://www.springer.com/series/15362 indexed in
1. EI Compendex
2. INSPEC
3. SCImago
4. SCOPUS
We are also providing online presentation facilities to authors who are unable to attend the conference as well a PPT record is acceptable.
Topics are: Business intelligence, Natural language processing, Bioinformatics, Blockchain, Big Data and Cloud Computing, Computer Systems and Networking, Computing and Informatics, Data Science/Analytics, Decision Support Systems and Expert Systems, E-Commerce, E-Business, M-Commerce, Educational Computing, Intelligent Systems and Robotics, Optimization Algorithms, Pervasive Computing, Internet of Things, Drones technologies, Informatics, Food Production and Quality, Digital twining, and applications, – Cyber-Physical Systems, Autonomous Systems, Sensor Networks, Control Systems, Energy Systems, Automotive Systems, Biological Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics, Social Systems, Economic Systems
All accepted papers will be published in the conference proceedings, which will be published by Springer (approved) in the series of Lecture Notes on Data Engineering and Communications Technologies, which SCOPUS and EI- index
https://www.springer.com/series/15362 .
Paper submission system link
https://equinocs.springernature.com/service/AISI2023
Paper submission deadline
– Full Paper submission: May 15, 2023
– Acceptance notification: June 15, 2023
– Camera-ready and registration: June 30, 2023
General Chairs
Professor Rawya Y. Rizk, Port Said University, Egypt
Professor Aboul Ella Hassanien, Cairo University, Egypt
For any technical questions, please contact Professor Aboul Ella Hassanein (aboitcairo@cu.edu.eg)
29th International European Conference on Parallel and Distributed Computing (Euro-Par 2023): Third Call for PhD Symposium Applications
February 7th, 2023 Daniela Lopez de Luise |
*** Third Call for PhD Symposium Applications ***
29th International European Conference on Parallel and Distributed Computing
(Euro-Par 2023)
August 28 – September 1, 2023, St. Raphael Resort, Limassol, Cyprus
SCOPE
The Euro–Par PhD Symposium is a welcoming and supportive forum for PhD students to
present their work, meet and interact with peers, and to receive constructive feedback about
their work from experts in the Euro–Par community. The program will feature technical
presentations by PhD students, and discussions in panel and open formats.
Contributions accepted to the PhD Symposium will appear in the Euro-Par companion
proceedings.
CALL FOR APPLICATIONS
We invite submissions from PhD students at any stage of their doctoral studies. Applicants
must be officially enrolled in a PhD Program at the time of submission, and each submission
MUST be backed by an endorsement from the official PhD adviser(s). Required submission files
are as follows:
1. Proposal (in Springer LNCS format, no longer than 6 pages with references) including:
• Title of work, author and affiliation
• Abstract of the work
• Brief description of work being/planned to be done, including the problem being addressed,
the research methodology, and preliminary results (if any)
2. Adviser Statement of Support on institutional letterhead (no longer than 2 pages),
including:
• Declaration that the applicant is their PhD student, and the length of time of this relationship
• Confirmation of support for applicant’s participation
• The applicant's expected academic contributions
• The level of work that has been achieved by the student (in the course of or before the PhD
work)
• How the student will prepare for the event
• How the student plans to attend the event (i.e. in person or online)
• How travel and accommodation costs are to be met, if planning to attend in person
• The expected impact of attending the event on the student's work
REGISTRATION STUDENTSHIPS
We are happy to announce that we can cover the registration fees of 15 student attendees; 15
awards will be funded by the Euro-Par Foundation. To qualify, you should be a PhD student
studying Informatics and Computing Science at the time of the event.
On top of the above specific criteria for each studentship, the following criteria will be used:
• Explicit recommendation by the advisor(s) is paramount, as awards will be given based on
the strength of the advisor(s) letter
• Priority will be given to in-person attendees
Successful applicants may be asked to undertake some tasks to assist the running of
Euro-Par 2023.
SUBMISSION GUIDELINES
The submission consists of:
• Proposal: A manuscript that address item 1 of the call — see above.
• Adviser letter: A statement of support from the applicant's adviser(s) as described in the call.
Both elements are to be submitted together as a single PDF to EasyChair:
REVIEW OF APPLICATIONS
The symposium committee members will review the submitted applications based on
originality, technical strength, quality of presentation, and relevance to the conference.
Submitted documents that do not meet the above requirements might be rejected without a
review. All submitted proposals will be checked for originality by Springer iThenticate
(proposals which show an insufficient originality might be rejected without a review).
IMPORTANT DATES
• Submission: May 20, 2023 (AoE)
• Notification: July 1, 2023
• Camera-Ready: July 15, 2023
PHD SYMPOSIUM CHAIRS
• Herodotos Herodotou, University of Cyprus. Cyprus
• Demetris Thrihinas, University of Cyprus. Cyprus
|
Call for Paper 📝 CRM 2023 📜 Proceedings in SCOPUS Indexed Springer Book Series SIST 📆 March 25-26, 2023
February 7th, 2023 Daniela Lopez de Luise Greetings from Soft Computing Research Society, India.
We are pleased to inform you that the Modi Institute of Technology, Kota and Soft Computing Research Society, India is organizing the Congress on Control, Robotics, and Mechatronics (CRM2023). The details of the CRM 2023 are as follows:
Title of the conference: Congress on Control, Robotics, and Mechatronics (An International Conference of Mechanical and Robotic Engineering) // CRM2023
Important Dates:
Notification of acceptance: February 28, 2023
Registration and final paper submission of accepted Paper: March 10, 2023
Contact us through email: crmconf.scrs@gmail.com if you have any queries. Join SCRS Telegram Channel t.me/scrsindia for the latest updates on the conference
DeepLearn 2023 Spring: early registration February 21
February 7th, 2023 Daniela Lopez de Luise DeepLearn 2023 Spring
Bari, Italy
April 3-7, 2023
https://deeplearn.irdta.eu/2023sp/
***********
Co-organized by:
Department of Computer Science
University of Bari “Aldo Moro”
Institute for Research Development, Training and Advice – IRDTA
Brussels/London
******************************************************************
Early registration: February 21, 2023
******************************************************************
SCOPE:
DeepLearn 2023 Spring will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimarães, Las Palmas de Gran Canaria, Luleå and Bournemouth.
Deep learning is a branch of artificial intelligence covering a spectrum of current exciting research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, bioinformatics, geographic information systems, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience.
Most deep learning subareas will be displayed, and main challenges identified through 23 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely.
An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles.
ADDRESSED TO:
Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2023 Spring is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators.
VENUE:
DeepLearn 2023 Spring will take place in Bari, an important economic centre on the Adriatic Sea. The venue will be:
Department of Computer Science
University of Bari “Aldo Moro”
via Edoardo Orabona, 4
70125 Bari
STRUCTURE:
3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.
Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event.
KEYNOTE SPEAKERS:
Vipin Kumar (University of Minnesota), Knowledge-Guided Deep Learning: A Framework for Accelerating Scientific Discovery
William S. Noble (University of Washington), Deep Learning Applications in Mass Spectrometry Proteomics and Single-Cell Genomics
Emma Tolley (Swiss Federal Institute of Technology Lausanne), Physics-Informed Deep Learning
PROFESSORS AND COURSES:
Babak Ehteshami Bejnordi (Qualcomm AI Research), [intermediate/advanced] Conditional Computation for Efficient Deep Learning with Applications to Computer Vision, Multi-Task Learning, and Continual Learning
Patrick Gallinari (Sorbonne University), [intermediate] Physics Aware Deep Learning for Modeling Dynamical Systems
Sergei V. Gleyzer (University of Alabama), [introductory/intermediate] Machine Learning Fundamentals and Their Applications to Very Large Scientific Data: Rare Signal and Feature Extraction, End-to-End Deep Learning, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware
Jacob Goldberger (Bar-Ilan University), [introductory/intermediate] Calibration Methods for Neural Networks
Christoph Lampert (Institute of Science and Technology Austria), [intermediate] Training with Fairness and Robustness Guarantees
Yingbin Liang (Ohio State University), [intermediate/advanced] Bilevel Optimization and Applications in Deep Learning
Miaoyuan Liu (Purdue University), [introductory/intermediate] Edge of the Future: AI in Real Time Systems of Scientific Instruments
Xiaoming Liu (Michigan State University), [intermediate] Deep Learning for Trustworthy Biometrics
Michael Mahoney (University of California Berkeley), [intermediate] Practical Neural Network Theory
Liza Mijovic (University of Edinburgh), [introductory/intermediate] Deep Learning & the Higgs Boson: Classification with Fully Connected and Adversarial Networks
Bhiksha Raj (Carnegie Mellon University), [introductory] An Introduction to Quantum Neural Networks [with Rita Singh and Daniel Justice]
Holger Rauhut (RWTH Aachen University), [intermediate] Gradient Descent Methods for Learning Neural Networks: Convergence and Implicit Bias
Bart ter Haar Romeny (Eindhoven University of Technology), [intermediate/advanced] Explainable Deep Learning from First Principles
Tara Sainath (Google), [advanced] E2E Speech Recognition
Martin Schultz (Research Centre Jülich), [intermediate] Deep Learning for Air Quality, Weather and Climate
Hao Su (University of California San Diego), [intermediate/advanced] Neural Representation for 3D Capturing
Adi Laurentiu Tarca (Wayne State University), [intermediate] Machine Learning for Cross-Sectional and Longitudinal Omics Studies
Zhi Tian (George Mason University), [intermediate] Communication-Efficient and Robust Distributed Learning
Michalis Vazirgiannis (Polytechnic Institute of Paris), [intermediate/advanced] Graph Machine Learning with GNNs and Applications
Atlas Wang (University of Texas Austin), [intermediate] Sparse Neural Networks: From Practice to Theory
Guo-Wei Wei (Michigan State University), [introductory/advanced] Discovering the Mechanisms of SARS-CoV-2 Evolution and Transmission
Lei Xing (Stanford University), [intermediate] Deep Learning for Medical Imaging and Genomic Data Processing: from Data Acquisition, Analysis, to Biomedical Applications
Xiaowei Xu (University of Arkansas Little Rock), [intermediate/advanced] Deep Learning Language Models and Causal Inference
OPEN SESSION:
An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david@irdta.eu by March 26, 2023.
INDUSTRIAL SESSION:
A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david@irdta.eu by March 26, 2023.
EMPLOYER SESSION:
Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david@irdta.eu by March 26, 2023.
ORGANIZING COMMITTEE:
Giuseppina Andresini (Bari, local co-chair)
Graziella De Martino (Bari, local co-chair)
Corrado Loglisci (Bari, local co-chair)
Donato Malerba (Bari, local chair)
Carlos Martín-Vide (Tarragona, program chair)
Paolo Mignone (Bari, local co-chair)
Sara Morales (Brussels)
Gianvito Pio (Bari, local co-chair)
Francesca Prisciandaro (Bari, local co-chair)
David Silva (London, organization chair)
Gennaro Vessio (Bari, local co-chair)
REGISTRATION:
It has to be done at
https://deeplearn.irdta.eu/2023sp/registration/
The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish.
Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event.
FEES:
Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same.
ACCOMMODATION:
Accommodation suggestions are available at
https://deeplearn.irdta.eu/2023sp/accommodation/
CERTIFICATE:
A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.
QUESTIONS AND FURTHER INFORMATION:
ACKNOWLEDGMENTS:
University of Bari “Aldo Moro”
Rovira i Virgili University
Institute for Research Development, Training and Advice – IRDTA, Brussels/London