CVPR 2021 New Trends in Image Restoration and Enhancement (NTIRE) workshop and challenges

February 23rd, 2021 Daniela Lopez de Luise
CALL FOR PAPERS  & CALL FOR PARTICIPANTS IN 11 CHALLENGES
NTIRE: 6th New Trends in Image Restoration and Enhancement workshop and challenges on
defocus, deblurring, super-resolution, learning SR space, nonhomogeneous dehazing, image quality assessment, relighting, aerial image classification, enhancement of compressed videos, HDR
In conjunction with CVPR 2021, June 15, Nashville, USA (VIRTUAL).
TOPICS
● Image/video inpainting
● Image/video deblurring
● Image/video denoising
● Image/video upsampling and super-resolution
● Image/video filtering
● Image/video de-hazing, de-raining, de-snowing, etc.
● Demosaicing
● Image/video compression
● Removal of artifacts, shadows, glare and reflections, etc.
● Image/video enhancement: brightening, color adjustment, sharpening, etc.
● Style transfer
● Hyperspectral imaging
● Underwater imaging
● Methods robust to changing weather conditions / adverse outdoor conditions
● Image/video restoration, enhancement, manipulation on constrained settings
● Image/video processing on mobile devices
● Visual domain translation
● Multimodal translation
● Perceptual enhancement
● Perceptual manipulation
● Depth estimation
● Image/video generation and hallucination
● Image/video quality assessment
● Image/video semantic segmentation, depth estimation
● Studies and applications of the above.

SUBMISSION
A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in CVPR style.

http://cvpr2021.thecvf.com/node/33

The review process is double blind.
Accepted and presented papers will be published after the conference in the CVPR 2021 Workshops Proceedings.

Author Kit: http://cvpr2021.thecvf.com/sites/default/files/2020-09/cvpr2021AuthorKit_2.zip

WORKSHOP DATES
● Regular Papers Submission Deadline: March 05, 2021
● Challenge Papers Submission Deadline: April 02, 2021

IMAGE CHALLENGES
  1. Defocus Deblurring using Dual-Pixel Images
  2. Depth Guided Relighting (one-to-one and any-to-any)
  3. Perceptual Image Quality Assessment
  4. Deblurring  (low resolution and JPEG artifacts)
  5. Multi-model Aerial View Classification (SAR and EO)
  6. Learning the Super-Resolution Space
  7. Nonhomogeneous Dehazing

VIDEO / MULTI-FRAME CHALLENGES
  1. Enhancement of Compressed Videos (fixed bit-rate and fixed QP)
  2. Super-Resolution (Spatial and Spatio-Temporal)
  3. Burst Super-Resolution (Real and Synthetic)
  4. High Dynamic Range (HDR)
To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the NTIRE 2021 web page:
For those interested in constrained and efficient solutions validated on mobile devices we refer to the CVPR21 Mobile AI Workshop and Challenges:
CHALLENGES DATES

● Release of train data: January 10, 2020
● Competitions end: March 20, 2020

ORGANIZERS

● Radu Timofte, ETH Zurich
● Shuhang Gu, OPPO & University of Sydney
● Kyoung Mu Lee, Seoul National University
● Michael S. Brown, York University

● Andreas Lugmayr, ETH Zurich
● Goutam Bhat, ETH Zurich
● Martin Danelljan, ETH Zurich
● Cosmin Ancuti, Université catholique de Louvain (UCL)
● Codruta O. Ancuti, University Politehnica Timisoara
● Lei Zhang, Alibaba & The Hong Kong Polytechnic University
● Ming-Hsuan Yang, University of California at Merced & Google
● Eli Shechtman, Creative Intelligence Lab at Adobe Research
● Seungjun Nah, Seoul National University, Korea
● Abdullah Abuolaim, York University, Canada
● Eduardo Perez-Pellitero, Huawei Noah's Ark Lab, UK
● Ales Leonardis, Huawei Noah's Ark Lab & University of Birmingham
● Seungjun Nah, Seoul National University
● Sanghyun Son, Seoul National University
● Suyoung Lee, Seoul National University
● Ren Yang, ETH Zurich
● Ruofan Zhou, EPFL
● Majed El Helou, EPFL
● Sabine Süsstrunk, EPFL
● Chao Dong, SIAT
● Jimmy Ren, SenseTime
● Oliver Nina, AF Research Lab
● Bob Lee, Wright Brothers Institute
● Jinjin Gu, University of Sydney
● Luc Van Gool, KU Leuven and ETH Zurich

SPEAKERS (TBA)
SPONSORS (TBA)
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Special issue “Sensing, Perception, and Navigation in Space Robotics”

February 23rd, 2021 Daniela Lopez de Luise
EXTENDED DEADLINE: 30-June-2021

Submissions are welcome to the special issue on “Sensing, Perception, and Navigation in Space Robotics” of the journal Sensors (MDPI, ISSN 1424-8220, IF 3.031, SJR Q1).

Special Issue Website:
https://www.mdpi.com/journal/sensors/special_issues/rb_sensors

Guest Editors: Prof. Rodrigo Ventura

The particular topics of interest include, but are not limited to:

• New concepts, mission requirements, and specifications
• Effects of space environment on sensor devices
• Novel methods for sensor data processing, including computer vision,
estimation, machine learning, and artificial intelligence
• Innovative applications targeting space domain
• Experiments in laboratory or in space environment, including micro-
and hypergravity platforms (e.g., drop towers, parabolic flights,
centrifuge campaigns)
• Datasets of sensor data in a space environment or in micro- and
hypergravity platforms

Best regards,

Rodrigo Ventura

Institute for Systems and Robotics
Instituto Superior Técnico
Lisbon, Portugal

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JSC Special Issue “Algebraic Geometry and Machine Learning”

February 23rd, 2021 Daniela Lopez de Luise
JOURNAL OF SYMBOLIC COMPUTATION

https://www.journals.elsevier.com/journal-of-symbolic-computation
SPECIAL ISSUE on “Algebraic Geometry and Machine Learning”

CALL FOR PAPERS

Guest Editors:

Jonathan Hauenstein
University of Notre Dame, USA

Yang-Hui He
City, University of London and
University of Oxford, UK

Ilias Kotsireas
Wilfrid Laurier University, Canada

Dhagash Mehta
The Vanguard Group, USA

Tingting Tang
San Diego State University Imperial Valley Campus, USA

Important Dates:

Submission deadline: May 30, 2021
Author notification: November 2021
Camera ready: December 2021

Machine learning research, both from applied and theoretical sides, has exploded in the recent years. In the last few years, algebraic geometry techniques have also been rapidly progressing due to novel mathematical results as well as sophisticated symbolic and numerical methods which can solve various algebraic geometry problems with ever increasing complexities.
Many machine learning problems, for example, exploring optimization landscapes of deep learning and training various machine learning algorithms, can be seen as algebraic geometry problems. A general theoretical question of machine learning, particularly, deep learning, is explainability and interpretability of the model and results it produces. Research efforts have been invested into the theoretical understanding of machine learning (“Explainable Artificial Intelligence” (XAI) from DARPA and the “American AI Initiative”). Some of the recent research papers address these theoretical issues in a unique and rigorous way using algebraic geometry methods. Interestingly, various computational algebraic geometry problems can be posed and solved with machine learning.
On the other end, machine learning has been successfully employed to solve problems arising in both theoretical and computational algebraic geometry: machine learning has been shown to improve algorithms (both symbolic and numerical) to solve polynomial systems, approximate algebraic varieties and discriminant loci, as well as applications to the landscape of algebraic varieties of interest to theoretical physics, especially string theory etc. The neural networks in particular provide a novel representation of the data which may help symbolic as well as numerical computation further.
The literature on this emerging interaction of the two disciplines is scattered. In the proposed special issue, we aim to bring researchers from both the areas together and provide a serious peer-reviewed platform to present their interdisciplinary research.
To the best of our knowledge this will be a first ever special issue on this topic.

Paper Submission:

Papers should be submitted exclusively via EES (Elsevier Editorial System) at:
https://www.editorialmanager.com/jsco/
Please indicate that your submission is intended for the special issue “AG and ML”

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DEADLINE EXTENSION PRL special issue: Pattern Recognition-driven User Experiences (PRUE)

February 23rd, 2021 Daniela Lopez de Luise

PATTERN RECOGNITION LETTERS SPECIAL ISSUE: Pattern Recognition-driven User Experiences (PRUE)

Games, search engines, e-commerce, infotainment, and many other services allow users a high degree of personalization; this evolution creates new needs, changes habits, and raises expectations. At the same time, the availability of new instruments is noticeably changing the kind of experience the users expect. The strong immersivity and high degree of realism of VR, MR, and AR are freeing the UX from the classic screen borders, with voice and gestures adding naturalness to the experience and keeping high the sense of users’ involvement and immersion.

IoT ecosystems, smartwatches, digital assistants, and other devices, are instruments that may provide precious hints about users and usage contexts, if supported by the application of Pattern Recognition theories and techniques.
Aiming at improving efficiency, intelligence, and delight perceived by users, Pattern Recognition-driven User Experience leverages intelligent computing to dynamically adapt appearance and behaviour with automatic decision-making. Pattern Recognition offers the instruments to detect and “understand” context, user’s signals, intents, emotions, and  provides a set of disruptive methodologies for an effective personalization of the experience.

The purpose of this Special Issue is to investigate how concepts and theories related to Pattern Recognition can be applied to improve or create a fully novel User Experience, new opportunities, and open problems. The Special Issue aims at collecting and presenting new advances in the application of Pattern Recognition to (but not limited):

    • Emotion recognition and adaptive applications;
    • Speech recognition;
    • Pattern recognition for virtual, augmented and mixed reality;
    • Applications to mobile and embedded systems;
    • Natural language applications;
    • Design and evaluation of innovative interactive system;
    • Ambient intelligence;
    • Personalization of user experience.
 
   
IMPORTANT DATES:

Submission period:   DEADLINE EXTENSION – February 28, 2021
Final Manuscript due: 1st April 2021
Tentative publication date: End of 2021

SUBMISSION AND CFP HERE: https://www.journals.elsevier.com/pattern-recognition-letters/call-for-papers/pattern-recognition-driven-user-experiences

SPECIAL ISSUE EDITORS:

Andrea F. Abate, University of Salerno, Italy (abate@unisa.it)

Giovanni Motta, Google Inc, Mountain View (CA), US (giovannimotta@google.com)

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ISMAR 2021 – Call for Competition to provide Natural Social Interactions at the Hybrid Conference of the Future

February 23rd, 2021 Daniela Lopez de Luise

IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY Bari, Italy October 4 to 8, 2021 http://www.ismar21.org/

OVERVIEW
This is an open invitation to anyone interested in Augmented Reality (AR), Mixed Reality (MR), and Virtual Reality (VR) to participate in the ISMAR Contest. The ISMAR Contest will be held during IEEE ISMAR 2021, the premier conference for AR and MR, October 4-8, 2021.

PURPOSE
The purpose of the ISMAR Contest is to stimulate innovative and creative solutions to facilitating the “Hybrid Conference of the Future” in which conference attendees can synchronously engage each other intellectually and socially in a natural manner, as if they were co-located in the same real-world venue, despite only some being physically present at the venue, while others attend remotely. The theme of the contest is “Natural Social Interactions.”

For this year’s ISMAR Contest, we expect the following functionalities of any solution:
        • The implemented solution facilitates natural social interactions among multiple remote attendees joining a conference from various global locations.
                • The solution must include software that ISMAR 2021 remote attendees can download, install, and use to engage in the social interactions.
                • The solution software must support at least one of the following types of devices: desktop/laptop, smartphone, tablet. However, ideal solutions will support all three and will be cross platform (i.e., Windows/MacOS/Linux for desktops and laptops, Android/iOS for smartphones and tablets).
        • The implemented solution preserves the natural social interactions among multiple attendees co-located at a conference in the same real-world space.
                • Contestants will be responsible for bringing the hardware for the co-located attendees to ISMAR 2021.
        • The implemented solution facilitates natural social interactions among the multiple remote attendees and the multiple attendees co-located at a conference in the real-world space.

Selected contestants will be required to provide a live demonstration of their solutions during ISMAR 2021, October 4-8, 2021. ISMAR 2021 is scheduled to be a hybrid conference; however, due to the current COVID-19 pandemic, the conference may become purely virtual. Contestants are expected to create solutions that can be demonstrated for either modality, i.e., hybrid or purely virtual (where all attendees are remote).

CONTEST ENTRY (Due July 19, 2021)
Teams interested in entering the ISMAR Contest should send a high-quality video (no more than 5 minutes) demonstrating their tentative solution, a brief description of the solution, a title for the solution, and a list of all team members via email to competition_chairs@ismar21.org by July 19, 2021. The Contest Chairs will review the contest entries and will notify teams whether their entries have been selected or not by July 26, 2021.

ABSTRACT SUBMISSION (Due August 6, 2021) Teams selected for the competition must submit an abstract (2 pages) that describes their solution and its innovations. This abstract must adhere to the ISMAR 2021 Conference Proceedings format: https://ismar21.org/call-for-papers/. Acceptable abstracts will be published in the conference proceedings of IEEE ISMAR 2021 and will be included in the IEEE Xplore digital library.

COMPETITION (October 4-8, 2021)
Teams selected for the competition will demonstrate their solutions live at IEEE ISMAR 2021. If ISMAR 2021 is held as a hybrid conference, teams can choose to either demonstrate their solutions at ISMAR 2021 in Bari, Italy or remotely. If ISMAR 2021 is held as a purely virtual conference, all teams will demonstrate their solutions remotely.

A panel of judges with no conflicts of interest will be chosen to judge the demonstrations and solutions. Additionally, IEEE ISMAR 2021 attendees will have the ability to vote for their favorite demonstrations and solutions. The Contest Chairs will use the feedback of the judges and the attendee votes to decide Grand Prize and Honorable Mention solutions.

PRIZES
The team with the Grand Prize solution will receive a $1500 reward and will be invited to submit an IEEE Transactions on Visualizations and Computer Graphics (TVCG) journal paper, which will be included in the IEEE ISMAR 2022 Journal Proceedings. In addition to describing the solution, this TVCG journal paper must also include a formal evaluation of the solution, which can be conducted after the 2021 Competition. The submission will undergo the same reviewing rigor as all other journal submissions.

The team with the Honorable Mention solution will receive a $500 reward for their solution.

CONTEST CHAIRS
Ferran Argelaguet, INRIA Rennes, France
Ryan P. McMahan, University of Central Florida, USA Voicu Popescu, Purdue University, USA

CONTACT
You can contact us at competition_chairs@ismar21.org if you have any questions.

Call updates will be posted on the ISMAR Competition web page https://ismar21.org/competition

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