Image Communication Special Issue on Computer Vision for Augmented Reality

May 19th, 2020 Daniela Lopez de Luise

Dear colleague,

I invite you to submit a high quality paper to my special issue on Signal Processing: Image Communication. The topic is Computer Vision for Augmented Reality. Please find the following link.
https://www.journals.elsevier.com/signal-processing-image-communication/call-for-papers/special-issue-on-computer-vision-for-augmented-reality

Best,
Zhihan Lv

Augmented reality (AR) is a key technology that will facilitate a major paradigm shift in the way users interact with data and has only just recently been recognized as a viable solution for solving many critical needs. Enter AR technology, which can be used to visualize data from hundreds of sensors (Kinect, HoloLens, Intel Real Sense, and so on) simultaneously, overlaying relevant and actionable information over your environment through a headset. However, most augmented reality experiences today revolve around overlaying the physical world with known information. Maps and games have garnered much attention in the consumer tech space. In the practical applications, the AR capabilities being leveraged would be constituted as visualize, instruct, or guide. Some examples: Virtual work instructions for operating manuals, Service maintenance timely imprint digitized information in the real-world and in-context to the task at hand.

Artificial intelligence – and especially deep learning – ushers in a new wave of innovation to computer vision (CV) and augmented reality (AR). The ability to perceive an array of environments will unlock the next-generation of augmented reality use cases and further empower the front-line worker like never before. Understanding the differences between classical (or traditional) and learning computer vision is fundamental to developing applications today and in the near future. Industrial environments are extremely complex. Augmented reality technology based on vision is not only an effective data visualization technology, but also can train workers for operating machines effectively.

This essentially is the ‘design-your-own’ CV algorithm in a design and coding environment. An engineer can map native sensor inputs to 3D geometries and enable the CV algorithm to be recognized for a specific use case. The AR engineer or experience creator can bring this CV algorithm and specific use case to life in a 3D design authoring environment by aligning these geometries, points, features, and measurements to activate it in context. Computer vision and more specifically deep learning-based approaches embedded in the augmented reality application enabled this automatic object recognition.

In summary, the convergence of computer vision and augmented reality is a really cool upcoming wave. As a result, this special session aims to bring the latest results over computer vision for augmented reality. It can help technicians to exchange the latest technical progresses.

Topics include, but are not limited to:

Camera tracking for augmented reality
Deep learning for computer vision
3D object reconstruction in augmented reality
3D object recognition
3D object tracking in augmented reality
Color consistency in augmented reality
Color transfer in augmented reality
Communication between augmented reality devices
Real-world Applications of augmented reality: security; healthcare; and advertising

Important Dates:

Paper Submission: September 15 2020
First round of reviews: December 15 2020
Submission of revised papers: February 15 2021
Second round of reviews: April 15 2021
Final Papers Submission: May 15, 2021  

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INISTA 2020 – COVID_19 UPDATES : NEW SUBMISSION DATE IS: May 29, 2020 (online/video presentation possible!)

May 19th, 2020 Daniela Lopez de Luise
UPDATE CONCERNING COVID-19 – PLEASE DISTRIBUTE CALL TO YOUR COLLEAGUES

INISTA 2020 organizing committee hopes that you, your families and colleagues are healthy and well.  Due to the pandemic and the uncertainties regarding to travel restrictions, INISTA 2020 conference will take place on the original date of August 24–26, 2020 with an online/video presentation options.

NEW SUBMISSION DATE: 29th May

INISTA 2020 – International Conference on INovations in Intelligent SysTems and Applications, August 24–26, 2020, Novi Sad, Serbia

Website: http://inista.org/index.html

BEST PAPERS WILL BE SELECTED IN HIGH-QUALITY JOURNALS

Technically Co-Sponsored by the IEEE SMC Society

PROCEEDINGS:  INISTA 2020 Proceedings will be submitted to be published by the IEEE Xplore Digital Library.

KEEP STRONG SPIRIT, BE HEALTHY, CONTINUE WITH PROFESSIONAL ACTIVITIES

CONTACT:      inista2020@pmf.uns.ac.rs; mira@dmi.uns.ac.rs

A one-page leaflet of the conference in PDF format can be downloaded http://inista.org/images/cfp.png

BEST PAPERS will be selected for special issues of several international journals
Simulation Modelling Practice and Theory – https://www.journals.elsevier.com/simulation-modelling-practice-and-theory
Cluster Computing: The Journal of Networks, Software Tools and Applications – https://www.springer.com/journal/10586
Concurrency Computation Practice and Experience, John Wiley & Sons Ltd, https://onlinelibrary.wiley.com/journal/15320634
ComSIS – Computer Science and Information Systems, http://www.comsis.org/
Transactions on Computational Collective Intelligence – https://www.springer.com/series/8851
The International Journal of Next-Generation Computing – http://www.ijngc.perpetualinnovation.net/index.php

TWO SPECIAL SESSIONS: http://www.inista.org/special-sessions.php

TUTORIALS: http://www.inista.org/tutorials.php

KEYNOTE SPEAKERS: http://www.inista.org/keynote-speakers.php

IMPORTANT DATES

Paper submission:             May 29, 2020
Paper notification:                June 29, 2020
Camera-Ready Submission:  July 10, 2020
Early registration:                July 10, 2020
Late registration:                 July 25, 2020
The conference:                  August 24-26, 2020

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ECCV Workshop on Transferring and Adapting Source Knowledge in Computer Vision & VisDA Challenge

May 19th, 2020 Daniela Lopez de Luise

7th Workshop on Transferring and Adapting Source Knowledge in Computer Vision & 4th VisDA Challenge

In conjunction with European Conference on Computer Vision (ECCV) 2020
23 August 2020, Glasgow, UK

Workshop website: https://sites.google.com/view/task-cv2020/home
VisDA challenge website: http://ai.bu.edu/visda-2020/

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CALL FOR PAPERS
This is the 7th annual workshop that brings together computer vision researchers interested in domain adaptation and knowledge transfer techniques.

A key ingredient of the recent successes of computer vision methods is the availability of large sets of annotated data. However, collecting them is prohibitive in many real applications and it is natural to search for an alternative source of knowledge that needs to be transferred or adapted to provide sufficient learning support. Our workshop aims to bring together researchers in various sub-areas of Transfer Learning (TL) and Domain Adaptation (DA) for computer vision.  

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TOPICS

• TL/DA learning methods for challenging paradigms like unsupervised, incremental, open set, universal, online and federated learning
• TL/DA CNN architectures with new adaptation techniques, fine-tuning strategies, regularization approaches, weights transfer solutions etc.
• TL/DA focusing on specific computer vision tasks (e.g., image classification, object detection, semantic segmentation, retrieval, tracking, etc.)  and applications (biomedical, robotics, multimedia, autonomous driving, etc.)
• TL/DA  methods  working  at  feature  and  pixel  (generative)  level  as  well  as jointly applied with other learning paradigms such as reinforcement learning
• DA in case of sensor differences (e.g., low-vs-high resolution, power spectrum sensitivity, different RGB/Depth modalities) and compression schemes
• Datasets and protocols for evaluating TL/DA methods
• Going beyond TL/DA towards Domain Generalization (DG)
• Multi-Task, Zero- One- and Few-Shot Learning

This is not a closed list, we welcome other interesting and relevant research for TASK-CV.

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IMPORTANT DATES
Submission deadline: July 10th, 2020
Author notification: July 26th, 2020
Camera-ready: August 15th, 2020

The contributions will consist in Extended Abstracts (EA) of 4 pages (including references)

As tradition we will have a best paper award supported by our sponsors.

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VISDA-2020 CHALLENGE

This year the VisDA Challenge brings on board a new task, domain adaptive pedestrian re-identification. More challenging and practical settings are set, characterized by a synthetic-to-real domain adaptation procedure.

• May 1: training/validation data release; evaluation server open
• Jun 25: test data release
• Jul 25: final test result submission
• Team registration is open until July 25.

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WORKSHOP ORGANIZERS:
Tatiana Tommasi (Politecnico di Torino, Italy)
Antonio M. Lopez (CVC & UAB, Spain)
David Vazquez (Element AI, Canada)
Gabriela Csurka (Naver Labs Europe, France)
VISDA CHALLENGE ORGANIZERS:
Kate Saenko (Boston University, USA)
Liang Zheng (Australian National University, Australia)
Xingchao Peng (Boston University, USA)
Weijian Deng (Australian National University, Australia)

 

 

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Fourth IEEE IPAS 2020

May 19th, 2020 Daniela Lopez de Luise
Fourth IEEE International Conference on Image Processing, Applications and Systems (IPAS 2020) will be held in Genova, Italy, on the 9-11 December 2020. The conference is devoted to image processing, computer vision algorithms and applications.

Accepted and registered papers will be submitted to be published in IEEE Xplore (submission deadline: June 30, 2020).

MAIN TOPICS
Papers should report high quality research and describe original contributions. Main topics contain, but are not limited to:
– Image and video processing theory
– Image and video analysis and interpretation
– Deep Learning for image processing
– Convolutional Neural Networks
– Vision for Robotics
– Computer Vision for Virtual and Augmented reality
– Biologically Inspired Computer Vision and Image Processing
– GPU-based Image Processing and Computer Vision
– Computer Vision for tourism applications
– Computer Vision and Image Processing for cultural heritage applications
– Computer Vision and Image Processing for healthcare applications
– Underwater acoustic imaging
– Ultrasound medical Imaging
– Vision for Web Applications
– Medical Image Processing and Computer Aided Diagnosis
– Human Focused Analysis
– 3D Computer Vision
– Object Recognition
– Ontology based Image Representation & Processing
– Real Time Image Processing Categorization, Indexing
– Content Based Image Retrieval
– Biometrics Statistical Learning
– Image processing and Big Data
– Large Scale Methods for Motion and Tracking
– Image Processing for Cyber Security
– Hardware Implementation & Co-design
– Image Processing for Smart Systems
– Possibility Theory and Decision Making
– FPGA Reconfigurable Design

IMPORTANT DATES
Paper Submissions June 30, 2020
Paper Acceptance September 15 , 2020
Camera ready paper submission September 30 , 2020
Special Session Proposals June 10, 2020
Special Session Acceptance July 15, 2020
Tutorials Proposals July 15, 2020
Tutorial Acceptance July 30, 2020
Author registration November 10 , 2020
Main Conference: 9-11  December 2020

GENERAL CHAIRS
François Bremond, INRIA, France
Dorra Sellami, University of Sfax, Tunisia
Fabio Solari, University of Genoa, Italy

More information about the Conference including details on the submission process and authors kit is available at http://ipas.ieee.tn

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ECCV 2020 Advances in Image Manipulation (AIM) workshop and challenges

May 19th, 2020 Daniela Lopez de Luise


CALL FOR PAPERS  & CALL FOR PARTICIPANTS IN 8 CHALLENGES
AIM: 2nd Advances in Image Manipulation workshop and challenges on real image super-resolution, efficient SR, extreme SR, relighting, extreme inpainting, learned ISP, Bokeh effect, video temporal SR

In conjunction with ECCV 2020, Glasgow, UK

Website: https://data.vision.ee.ethz.ch/cvl/aim20/
Contact: radu.timofte@vision.ee.ethz.ch

SCOPE

Image manipulation is a key computer vision tasks, aiming at the restoration of degraded image content, the filling in of missing information, or the needed transformation and/or manipulation to achieve a desired target (with respect to perceptual quality, contents, or performance of apps working on such images). Recent years have witnessed an increased interest from the vision and graphics communities in these fundamental topics of research. Not only has there been a constantly growing flow of related papers, but also substantial progress has been achieved.

Each step forward eases the use of images by people or computers for the fulfillment of further tasks, as image manipulation serves as an important frontend. Not surprisingly then, there is an ever growing range of applications in fields such as surveillance, the automotive industry, electronics, remote sensing, or medical image analysis etc. The emergence and ubiquitous use of mobile and wearable devices offer another fertile ground for additional applications and faster methods.

This workshop aims to provide an overview of the new trends and advances in those areas. Moreover, it will offer an opportunity for academic and industrial attendees to interact and explore collaborations.

This workshop builds upon the success of the Advances in Image Manipulation (AIM) workshop at ICCV 2020, the Perceptual Image Restoration and Manipulation (PIRM) workshop at ECCV 2018, the workshop and Challenge on Learned Image Compression (CLIC) editions at CVPR 2018, 2019 and 2020 and the New Trends in Image Restoration and Enhancement (NTIRE) editions: at CVPR 2017, 2018, 2019 and 2020 and at ACCV 2016. Moreover, it relies on the people associated with the PIRM, CLIC, and NTIRE events such as organizers, PC members, distinguished speakers, authors of published papers, challenge participants and winning teams.

TOPICS

Papers addressing topics related to image/video manipulation, restoration and enhancement are invited. The topics include, but are not limited to:

● Image-to-image translation
● Video-to-video translation
● Image/video manipulation
● Perceptual manipulation
● Image/video generation and hallucination
● Image/video quality assessment
● Image/video semantic segmentation
● Perceptual enhancement
● Multimodal translation
● Depth estimation
● 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
● Aerial and satellite imaging
● Methods robust to changing weather conditions / adverse outdoor conditions
● Image/video manipulation on mobile devices
● Image/video restoration and enhancement on mobile devices
● Studies and applications of the above.

SUBMISSION

A paper submission has to be in English, in pdf format, and at most 14 pages (excluding references) in ECCV style. The paper format must follow the same guidelines as for all ECCV submissions.
https://eccv2020.eu/author-instructions/
The review process is double blind. Authors do not know the names of the chair/reviewers of their papers. Reviewers do not know the names of the authors.
Dual submission is allowed with ECCV main conference only. If a paper is submitted also to ECCV and accepted, the paper cannot be published both at the ECCV and the workshop.

For the paper submissions, please go to the online submission site
https://cmt3.research.microsoft.com/AIMWC2020

Accepted and presented papers will be published after the conference in the ECCV Workshops Proceedings.

The author kit provides a LaTeX2e template for paper submissions. Please refer to the example for detailed formatting instructions. If you use a different document processing system then see the ECCV author instruction page.

Author Kit: https://eccv2020.eu/wp-content/uploads/2020/01/eccv2020kit-1.zip

WORKSHOP DATES

● Submission Deadline: July 10, 2020
● Decisions: July 20, 2020
● Camera Ready Deadline: July 30, 2020
IMAGE CHALLENGES (ongoing!):
  1. Bokeh effect simulation (tracks: on smartphone GPU, on CPU)
  2. Learned ISP (RAW to RGB mapping) (tracks: fidelity, perceptual)
  3. Real super-resolution (tracks: x2, x3, x4)
  4. Relighting (tracks: any to one, any to any relighting, illumination estimation)
  5. Efficient super-resolution
  6. Extreme inpainting (tracks: classic, semantic guidance)

VIDEO CHALLENGES (ongoing!):

  1. Video temporal super-resolution (frame interpolation)
  2. Video extreme super-resolution (tracks: fidelity, perceptual)

PARTICIPATION

To learn more about the challenges and to participate:

CHALLENGES DATES

● Release of train data: May 05, 2020
● Validation server online: May 15, 2020
● Competitions end: July 10, 2020

ORGANIZERS

  • Radu Timofte, Andrey Ignatov, Kai Zhang, Dario Fuoli, Martin Danelljan, Zhiwu Huang, Andres Romero (ETH Zurich, Switzerland)
  • Luc Van Gool (KU Leuven, Belgium and ETH Zurich, Switzerland)
  • Wangmeng Zuo,
    Hannan Lu (Harbin Institute of Technology, China)

  • Shuhang Gu (University of Sydney, Australia)
  • Ming-Hsuan Yang (University of California at Merced and Google, US
  • Majed El Helou,
    Ruofan Zhou (EPFL, Switzerland)
  • Kyoung Mu Lee, Seungjun Nah, Sanghyun Son,
    Jaerin Lee (Seoul National University, Korea)
  • Eli Shechtman (Adobe Research, US)
  • Evangelos Ntavelis, Siavash Bigdeli (CSEM, Switzerland)
  • Liang Lin,
    Weipeng Xu (Sun Yat-Sen University, China)

  • Ming-Yu Liu (Nvidia, US)
  • Roey Mechrez (BeyondMinds and Technion, Israel)
SPEAKERS (TBA)

SPONSORS

We are looking for sponsors! Please let us know if interested
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