Call for Papers for Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI) Workshop at HRI 2023

January 17th, 2023 Daniela Lopez de Luise
*The workshop submission and instructions have been updated on the

website: https://vam-hri.github.io/


================
CALL FOR PAPERS

The 6th International Workshop on Virtual, Augmented, and Mixed Reality
for Human-Robot Interaction (VAM-HRI)


Affiliated with HRI 2023
================
ROLLING SUBMISSIONS:

Due to the early registration deadline for HRI being January 20th, we have
implemented rolling submissions with updated deadlines. Make sure to

submit by Jan 17th if you want notification by January 20, 2023 UTC-12 

before the HRI 2023 early registration deadline.

Final submissions will close February 18, 2023 UTC-12.

WORKSHOP DATE:
March 13, 2023

WEBSITE:
https://vam-hri.github.io/
================

The 6th International Workshop on Virtual, Augmented, and Mixed Reality
for Human-Robot Interaction (VAM-HRI) will bring together HRI, robotics,
and mixed reality researchers to address challenges in mixed reality
interactions between humans and robots in a hybrid workshop format,

allowing for participation both in-person and remotely. VAM-HRI 2023 

will follow on the success of VAM-HRI 2018-22 and advance the cause of this

nascent research community.

VAM-HRI 2023 welcomes contributions on topics including but NOT

limited to:


– AR-based intent communication
– AR-based behavior explanation
– Social/Socially Assistive applications of VAM-HRI
– AR/VR for robot testing and diagnostics
– AR/VR for robot learning
– VR for HRI human-subject experimentation
– Mixed-reality language grounding
– AR-augmented natural language generation
– AR-enabled robot control
– AR/VR for safety around robots
– Architectures for AR/VR-based HRI
– Computational modeling within AR/VR-based HRI
– AR/VR for expanding social interactions
– VAM-HRI research in the time of COVID-19
– Social and ethical implications of VAM for HRI

VAM-HRI accepts submissions of length from 2-8 pages presenting
current or proposed work. Papers posted online without prior peer review
(e.g., already posted on ArXiv as a preprint but not already accepted into
another venue) can be submitted. References do not count towards
total page count. A submission link will be provided on the workshop
website: https://vam-hri.github.io/

All accepted papers will be accompanied by talks and/or poster presentations
and will be archived on the workshop website.

Organizing Team
Maciej Wozniak | KTH Stockholm
Bryce Ikeda | University of North Carolina at Chapel Hill
Eric Rosen | Brown University
Matthew B. Luebbers | University of Colorado Boulder
Michael E. Walker | University of North Carolina at Chapel Hill
Christine T. Chang | University of Colorado Boulder
Thomas Groechel | University of Southern California

Steering Committee
Andre Pereira | KTH Stockholm
Jivko Sinapov | Tufts University
Stefanie Tellex | Brown University

Read More »

CALL FOR PAPERS – CVPR 2023 Workshop on Image Matching: Local Features and Beyond

January 17th, 2023 Daniela Lopez de Luise
Workshop website: https://image-matching-workshop.github.io
Challenge website: https://www.cs.ubc.ca/research/image-matching-challenge/
CMT website for paper submission:
https://cmt3.research.microsoft.com/IMW2023

*OVERVIEW*

We are happy to announce that the Fifth Workshop on Image Matching:
Local Features and Beyond will be held at CVPR 2023 on June 19, 2023
(morning, Pacific Time) in Vancouver, Canada.

Its goal is to encourage and highlight novel strategies for image
matching that deviate from and advance traditional formulations, with a
focus on large-scale, wide-baseline matching for 3D reconstruction and
pose estimation. This can be achieved by applying new technologies to
sparse feature matching, or doing away with keypoints and descriptors
entirely, such as with dense solutions.

*We will also hold the fifth edition of the Image Matching Challenge*,
co-located with the workshop. Details will be announced in the coming weeks.

*TOPICS*

Workshop topics include (but are not limited to):
– Formulations of keypoint extraction and matching pipelines with deep
networks.
– Application of geometric constraints into the training of deep networks.
– Leveraging additional cues such as semantics and mono-depth estimates.
– Methods addressing adversarial conditions where current methods fail
(weather changes, day versus night, etc.).
– Attention mechanisms to match salient image regions.
– Integration of differentiable components into 3D reconstruction
frameworks.
– Connecting local descriptors/image matching with global
descriptors/image retrieval.
– Matching across different data modalities such as aerial versus ground.
– Large-scale evaluation of classical and modern methods for image
matching, by means of our open challenge.
– New perception devices such as event-based cameras.
– Other topics related to image matching, structure from motion,
mapping, and re-localization, such as privacy-preserving representations.

*SUBMISSION*

We invite paper submissions up to 8 pages, excluding references and
acknowledgements. They should use the CVPR template and be submitted to
the CMT site. Submissions must contain novel work and will be indexed in
IEEE Xplore/CVF. They will receive at least two double-blind reviews.

*IMPORTANT DATES*

– Paper submission deadline: March 19, 2023.
– Notification to authors: April 4, 2023.
– Camera-ready deadline: April 6, 2023 (hard deadline on April 8!).
– Workshop date: June 19, 2023, afternoon (exact schedule TBA).

(All dates are at 11:59PM, Pacific Time, unless stated otherwise.)

*ORGANIZERS*

– Vassileios Balntas, Scape Technologies
– Fabio Bellavia, University of Palermo
– Vincent Lepetit, École des Ponts ParisTech
– Jiri Matas, Czech Technical University in Prague
– Dmytro Mishkin, Czech Technical University in Prague/HOVER Inc.
– Luca Morelli, University of Trento/Bruno Kessler Foundation
– Fabio Remondino, Bruno Kessler Foundation
– Weiwei Sun, University of British Columbia
– Eduard Trulls, Google
– Kwang Moo Yi, University of British Columbia

Read More »

2nd ACM International Workshop on Multimedia AI against Disinformation (MAD’23) – Call for papers

January 17th, 2023 Daniela Lopez de Luise

MAD'23
2nd ACM International Workshop on Multimedia AI against Disinformation (MAD’23)
@ ACM International Conference on Multimedia Retrieval (ACM ICMR 2023)
Thessaloniki, Greece, June 12-15, 2023
https://mad2023.idmt.fraunhofer.de/
https://easychair.org/conferences/?conf=icmr20230

*** Call for papers ***
* Paper submission due: February 28, 2023
* Acceptance notification: March 31, 2023
* Camera-ready papers due: April 20, 2023
* Workshop @ACM ICMR 2023: June 12, 2023 (to be confirmed)

Modern communication does not rely anymore solely on classic media like newspapers or television, but rather takes place over social networks, in real-time, and with live interactions among users. The speedup in the amount of information available, however, also led to an increased amount and quality of misleading content, disinformation and propaganda Conversely, the fight against disinformation, in which news agencies and NGOs (among others) take part on a daily basis to avoid the risk of citizens' opinions being distorted, became even more crucial and demanding, especially for what concerns sensitive topics such as politics, health and religion.

Disinformation campaigns are leveraging, among others, market-ready AI-based tools for content creation and modification: hyper-realistic visual, speech, textual and video content have emerged under the collective name of “deepfakes”, undermining the perceived credibility of media content. It is, therefore, even more crucial to counter these advances by devising new analysis tools able to detect the presence of synthetic and manipulated content, accessible to journalists and fact-checkers, robust and trustworthy, and possibly based on AI to reach greater performance.

Future multimedia disinformation detection research relies on the combination of different modalities and on the adoption of the latest advances of deep learning approaches and architectures. These  raise new challenges and questions that need to be addressed in order to reduce the effects of disinformation campaigns. The workshop, in its second edition,  welcomes contributions related to different aspects of AI-powered disinformation detection, analysis and mitigation.

Topics of interest include but are not limited to:

– Disinformation detection in multimedia content (e.g., video, audio, texts, images)
– Multimodal verification methods
– Synthetic and manipulated media detection
– Multimedia forensics
– Disinformation spread and effects in social media
– Analysis of disinformation campaigns in societally-sensitive domains
– Robustness of media verification against adversarial attacks and real-world complexities
– Fairness and non-discrimination of disinformation detection in multimedia content
– Explaining disinformation /disinformation detection technologies for non-expert users
– Temporal and cultural aspects of disinformation
– Dataset sharing and governance in AI for disinformation
– Datasets for disinformation detection and multimedia verification
– Open resources, e.g., datasets, software tools
– Multimedia verification systems and applications
– System fusion, ensembling and late fusion techniques
– Benchmarking and evaluation frameworks

*** Submission guidelines ***
When preparing your submission, please adhere strictly to the ACM ICMR 2023 instructions, to ensure the appropriateness of the reviewing process and inclusion in the ACM Digital Library proceedings. The instructions are available here https://icmr2023.org/paper-submissions/.

*** Organizing committee ***
Luca Cuccovillo, Fraunhofer IDMT, Germany
Bogdan Ionescu, Politehnica University of Bucharest, Romania
Giorgos Kordopatis-Zilos, Centre for Research and Technology Hellas, Thessaloniki, Greece
Symeon Papadopoulos, Centre for Research and Technology Hellas, Thessaloniki, Greece
Adrian Popescu, CEA LIST, Saclay, France

 
Read More »

Urgent:Call for Paper SNSFAIT-2023 International Symposium( CSE,MAIT) on Securing Next-Generation Systems using Future Artificial Intelligence Technologies, 12th May 2023

January 15th, 2023 Daniela Lopez de Luise

Department of Computer Science & Engineering, Maharaja Agrasen Institute of Technology, Delhi (affiliated to Guru Gobind Singh Indraprastha University Delhi) in association with IEEE ComSoc Delhi Chapter is organizing an International Symposium on Securing Next-Generation Systems using Future Artificial Intelligence Technologies (SNSFAIT-2023) on 12th May 2023.


All the accepted papers of SNSFAIT 2023 will be published as a proceedings of SNSFAIT by CEUR Workshop Proceedings indexed by Scopus (https://www.scopus.com/sourceid/21100218356 ) and other leading databases.

Some of the high-quality accepted papers of SNSFAIT 2023 will be published in the scopus indexed book by Elsevier titled “Securing Next-Generation Healthcare Systems using Future Artificial Intelligence Technologies”.

Papers can be submitted via microsoft cmt
https://cmt3.research.microsoft.com/SNSFAIT2023

Deadline for paper submission – 30th January 2023

For details visit our webpage – https://cse.mait.ac.in/index.php/cse/international-symposium/9-pages/958-international-symposium-on-securing-next-generation-systems-using-future-artificial-intelligence-technologies-2023

Contact Details
All questions about submissions should be emailed to symposium.cse@mait.ac.in

Looking forward to your submissions.

 

Thanks and regards,


Team SNSFAIT-2023


pdf icon SNSFAIT-1.pdf
Read More »

AIDA Short Course: “Nvidia DLI – Accelerating Data Engineering Pipelines”, 13th January 2023

January 13th, 2023 Daniela Lopez de Luise

 

 

Nvidia DLI and University Debrecen organize an online AIDA short course on “Accelerating Data Engineering Pipelines” offered through the International Artificial Intelligence Doctoral Academy (AIDA). 

The purpose of this course is to overview the foundations and the current state of the art in GPU-accelerated data science in python.

This short course will cover the following topics:

  • Data on the Hardware Level (60 mins),
  • ETL with NVTabular (120), Data Visualization (120 mins),
  • Final Project: Data Detective (60 mins)

The targeted applications will be in GPU-accelerated ETL data process.

 

LECTURER: 

– Dr. Laszlo Kovacs, Assistant Professor

Nvidia Deep Learning Institute Certified Instructor and Ambassador, email: kovacs.laszlo@inf.unideb.hu

 

HOST INSTITUTION/ORGANIZER: Nvidia Deep Learning Institute, Faculty of Informatics, University of Debrecen, Hungary

 

REGISTRATION: Free of charge for university students and staff

 

WHEN: January 13, 2022 from 09:00 to 17:00 CET

 

WHERE: Online

 

HOW TO REGISTER and ENROLL: 

Both AIDA and non-AIDA students are encouraged to participate in this short course.

 

If you are an AIDA Student* already, please:

Step (a) register in the course by following the Course Link: Nvidia Deep Learning Institute | University of Debrecen (unideb.hu) AND

Step (b) enroll in the same course in the AIDA system using the enrollment button in the AIDA course page Nvidia DLI – Accelerating Data Engineering Pipelines – AIDA – AI Doctoral Academy (i-aida.org), so that this course enter your AIDA Course Attendance Certificate.

 

If you are not an AIDA Student do only step (a).

 

*AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members listed in this page: https://www.i-aida.org/about/members/)

 

Dr. Laszlo Kovacs, Assistant Professor

Nvidia Deep Learning Institute Certified Instructor and Ambassador

Email kovacs.laszlo@inf.unideb.hu\

Read More »
« Older Entries
Newer Entries »
Design by 2b Consult