13th Workshop on 3D Object Retrieval 2020 (3DOR’20)

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13th Workshop on 3D Object Retrieval 2020 (3DOR'20)

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  in Cooperation with Eurographics (pending) and Elsevier

  September 4-5, 2020

  Graz University of Technology, Austria

  https://workshop.cgv.tugraz.at/3dor2020

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New this year:

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In 2020, full paper submissions will follow a two-stage review process and will be published in Computes & Graphics (Elsevier).

 

3DOR is the dedicated workshop series for methods, applications and benchmark-based evaluation of 3D object retrieval, classification, and similarity-based object processing. The workshop also includes the 2020 edition of the 3D Shape Retrieval Contest, keynotes, project presentations, and a social and networking event. Short papers will follow a one-stage review process and will appear in the Eurographics Digital Library (pending).

 

 

Important Dates: SHREC Shape Retrieval Contest Timeline

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17 February: SHREC track proposal submission to shrec@uu.nl

21 February: Notification of acceptance of SHREC track proposals

21 February – 03 April: Running of SHREC tracks

 

 

Important Dates: Full Paper Submissions for Computers & Graphics

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03 April: Full paper submission, including SHREC papers

01 May: First decision

22 May: First revision

29 May: Second decision

12 June: Final version submission

19 June: Final decision

01 September 2020: Online publication

 

 

Important Dates: Short Paper Submission for EG Digital Library

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01 June: Short paper submission

15 July: Short paper notification

30 July:  Short Paper final version submission

01 September 2020: Online publication

4-5 September 2020: Eurographics Workshop on 3D Object Retrieval 2020 (3DOR)

 

 

3D Object Retrieval Workshop Series

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From the very beginning, the aim of the 3DOR Workshop series is to stimulate researchers to present state-of-the-art work, learn about or discuss topics in the field 3D object retrieval, search and exploration in a multi-disciplinary context of expertise such as Computer Vision, Computer Graphics, Machine Learning, Cognitive Science and Human-Computer Interaction. 3DOR provides a cross-fertilization that will stimulate discussions on the next steps in this important research area. 3DOR 2020 will be the 13th workshop in this series.

Search engines are now the default way in which most people engage with information, as the vast majority of information is born digital. 3D digital content is today pervasive: low-cost 3D scanners, 3D printers, and powerful modelling software have made 3D models appeal to an increasing audience. Repositories of 3D objects are rapidly growing in both number and size. Time-dependant acquisition, animation and simulation give rise to 3D objects as a function of time, yielding 4D objects. Yet, the task of exploring such large 3D/4D object repositories and retrieving the models of interest remains a challenging problem. It is crucial to develop algorithms for content-based searching of 3D object collections; creating compact and accurate descriptors for 3D objects; creating efficient storage structures for databases of 3D objects; investigating theoretical aspects of practical importance, such as the definition of the similarity concept; interfaces for content-based 3D object search; visualization techniques for 3D search results; real time aspects of techniques and algorithms; new challenges such as faceted 3D browsing, social search and navigation of hybrid datasets. The complex yet concrete problems above are drawing increasing attention from the research community, which is becoming more and more varied in terms of disciplines needed to solve various facets of the challenges.

The 3DOR Workshop series has been characterized since the beginning by a specific attention to benchmarking with the organization of the session on the 3D Shape Retrieval Contest (SHREC). The general objective of the 3D Shape Retrieval Contest is to evaluate the effectiveness of 3D-shape retrieval methods and algorithms. SHREC 2020 is the 15th edition of the contest. As in previous years, it is organized in conjunction with the Eurographics Workshop on 3D Object Retrieval. Results papers from SHREC tracks will be reviewed in a two stage-review process, like regular full papers (see below). A separate call for participation in SHREC will be issued shortly.

 

 

Call for Papers

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Authors are invited to submit original and unpublished research and application papers addressing all areas of 3D/4D Object Retrieval. State of the art papers on specific topics of interest are particularly welcome. Submissions are invited in the form of full papers, which will be peer-reviewed by a two-stage review process, and published as a special section of Computers and Graphics Journal (Elsevier). Also, short papers are invited, which will follow a one-stage review process and will appear in the Eurographics Digital Library (pending).

 

Suggested topics include, but are not limited to:

• 3D/4D shape analysis

• 3D/4D shape similarity and matching

• 3D/4D mesh sequence retrieval

• 3D/4D mobile media retrieval

• 3D/4D search in large scale data

• 3D/4D object classification, indexing, and mining

• Similarity of non-rigid shapes

• Shape correspondence

• 3D/4D shape decomposition, and segmentation

• Partial, part-in-whole, and many-to-many matching

• Matching under uncertainty and noise

• Semantics-driven 3D/4D object retrieval and classification

• Sketch-based retrieval

• Query interfaces and search modalities

• Benchmarking issues

• Deep learning for 3D/4D shape retrieval

• Generative/discriminative approaches in 3D object categorization

• Visual Analytics for 3D similarity assessment

• Applications in all areas relevant to 3D/4D objects, including multimedia and information systems, CAD, architecture, games, biometrics, e-science, e-learning, medicine, biology, and cultural heritage, among others.

 

 

Submission Information

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For up-to-date submission information, please refer to the workshop webpage at https://workshop.cgv.tugraz.at/3dor2020

 

 

Organization

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Workshop Chairs

•             Tobias Schreck, Graz University of Technology, Austria

•             Theoharis Theoharis, NTNU Trondheim, Norway, and NKUA, Greece

 

Program Co-Chairs

•             Ioannis Pratikakis, Democritus University of Thrace, Greece

•             Michela Spagnuolo, CNR Imati, Italy

•             Remco C. Veltkamp, Utrecht University, Netherlands

 

IPC

• to be confirmed

 

ICL-GNSS 2020 Tampere – Special sessions

Dear colleagues,

 

it is about one month to the paper submission deadline of the

International Conference on Localization and GNSS (ICL-GNSS) 2020

that will take place in Tampere, Finland on June 2-4, 2020.

 

ICL-GNSS 2020 is technically co-sponsored by IEEE AES Society.

 

This year we have also the following Special Sessions:

·        A-WEAR: Security and privacy aware wearable technologies

·        Collaborative Localization, Positioning and Navigation

·        Improving resilience of GNSS-based terrestrial infrastructures

·        New advances on GNSS positioning using smartphone technology

·        Non- or  Low-Intrusive Activity Sensing and Target Tracking for Indoors

 

These are in addition to the regular tracks on GNSS, non-GNSS, and Location-based

applications and services. For more information at https://events.tuni.fi/icl-gnss2020.

 

There are also sponsorship/exhibit opportunities for companies and other

organizations in the field of localization, positioning, navigation and sensing.

Check out the web page.

 

Regards,

 

Jari Nurmi and Simona Lohan

ICL-GNSS 2020 General Co-Chairs

 

CVPR 2020 Workshop and Challenge on Learned Image Compression (CLIC)

Apologies for cross-posting
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CALL FOR PARTICIPANTS & PAPERS

CLIC: Workshop and Challenge on Learned Image Compression 2020
in conjunction with CVPR 2020, June 15, Seattle, USA.

Website: http://www.compression.cc/

MOTIVATION
Our workshop aims to gather publications which will advance the field of image and video compression using state of the art machine learning and computer vision techniques. Even with the long history of signal-processing oriented compression, taking new approaches to image processing have great potential, due to the proliferation of high-resolution cell-phone images and special hardware (e.g., GPUs and mobile AI accelerators). The potential in this area has already been demonstrated using recurrent neural networks, convolutional neural networks, and adversarial learning, many of these matching the best image-compression standards when measured on perceptual metrics. As such, we are interested in the various techniques associated with this class of methods. Broadly speaking, we would like to encourage the development of novel encoder/decoder architectures, novel ways to control information flow between the encoder and the decoder, novel optimization objectives for improved perceptual quality and learn how to quantize (or learn to quantize) better.
CHALLENGE TRACKS

There are two challenge tracks. In the low bit-rate track, images need to be compressed to below 0.15 bits per pixel (bpp). This is the same task as in previous years, which allows us to measure progress over the years. As a first step towards video compression, this year also includes a P-frame track. Here, video P-frames need to be predicted from a previous frame.

Low-rate compression

For the low bit-rate track (which is similar to the one we ran at CLIC 2018), contestants will be asked to compress the entire dataset to 0.15 bpp or smaller. The winners of the competition will be chosen based human perceptual rating task and will be asked to give a short talk at the CLIC workshop. PSNR and MS-SSIM will be evaluated but not considered for prizes. We will provide last year’s professional and mobile datasets (all splits) as the training data for this challenge track. A new test set will be generated for this year and released during the test phase.

P-frame compression

The P-frame challenge will require entrants to compress a video frame conditioned on the previous image frame. Instead of splitting the dataset into training and test sets, in this track the entire dataset is released before the test phase. To discourage overfitting, the model size is added to the compressed dataset size and the sum cannot exceed a target bit-rate. That is, participants should try to minimize both the dataset size and the model size. The winner will be determined based on MS-SSIM.

REGULAR PAPERS

We will have a short (4 pages) regular paper track, which allows participants to share research ideas related to image compression. In addition to the paper, we will host a poster session during which authors will be able to discuss their work in more detail.

We encourage exploratory research which shows promising results in:

● Lossy image compression
● Quantization (learning to quantize; dealing with quantization in optimization)
● Entropy minimization
● Image super-resolution for compression
● Deblurring
● Compression artifact removal
● Inpainting (and compression by inpainting)
● Generative adversarial networks
● Perceptual metrics optimization and their applications to compression
And in particular, how these topics can improve image compression.

CHALLENGE PAPERS

The challenge task participants are asked to submit a short paper (up to 4 pages) detailing the algorithms which they submitted as part of the challenge.

SUBMISSION (TBA)
IMPORTANT DATES

November 22th 2019 Development phase & announcement. The training part of the dataset released.
January 7th, 2020 The validation part of the dataset released, online validation server is made available.
March 13th, 2020 Final decoders for the challenge are expected to be submitted.
March 16th, 2020 Test set is released for contestants to compress.
March 20th, 2020 Encoded test set submission deadline. The competition is closed at this point.
March 23th, 2020 Paper and Factsheet submission deadline.per and Factsheet submission deadline.
April 6th, 2020 Paper decision notification.
Mid April, 2020 Camera ready deadline for CVPR
Mid May, 2020 End of human evaluation on both challenges. Results will be released online before the workshop.

SPEAKERS

Nils Thuerey, Technical University of Munich, Germany
Yochai Blau, Technion, Israel
Tom Bird, UCL, London

ORGANIZERS

George Toderici (Google)
Wenzhe Shi (Twitter)
Radu Timofte (ETH Zurich)
Lucas Theis (Twitter)
Johannes Ballé (Google)
Eirikur Agustsson (ETH Zurich / Google)
Nick Johnston (Google)
Fabian Mentzer (ETH Zurich)

SPONSORS (TBU):

Google
Twitter
CVL / ETH Zurich

  

CVPR 2020 New Trends in Image Restoration and Enhancement (NTIRE) workshop and challenges

Apologies for cross-posting

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CALL FOR PAPERS  & CALL FOR PARTICIPANTS IN 9 CHALLENGES
NTIRE: 5th New Trends in Image Restoration and Enhancement workshop and challenges on real world super-resolution, extreme SR,
denoising, demoireing, deblurring, spectral reconstruction, quality mapping, nonhomogeneous dehazing
In conjunction with CVPR 2020, June 15, Seattle, USA.
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.
The review process is double blind.
Accepted and presented papers will be published after the conference in the CVPR 2020 Workshops Proceedings.

Author Kit: http://cvpr2020.thecvf.com/sites/default/files/2019-09/cvpr2020AuthorKit.zip
 

WORKSHOP DATES
Regular Papers Submission Deadline: March 15, 2020
● Challenge Papers Submission Deadline: April 04, 2020

IMAGE CHALLENGES (ongoing!)
  1. Perceptual Extreme Super-Resolution (x16)
  2. Real-World Super-Resolution
  3. Real Denoising (rawRGB and sRGB)
  4. Deblurring  (on desktop and on smartphone)
  5. Demoireing (single image and burst)
  6. Spectral Reconstruction from RGB
  7. Nonhomogeneous Dehazing

VIDEO CHALLENGES (ongoing!)
  1. Quality Mapping (supervised and weakly supervised)
  2. Deblurring
To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the NTIRE webpage:
http://www.vision.ee.ethz.ch/ntire20/
CHALLENGES DATES

● Release of train data: January 10, 2020
Competitions end: March 23, 2020

ORGANIZERS

● Radu Timofte, ETH Zurich, Switzerland
● Martin Danelljan, ETH Zurich, Switzerland
● Shuhang Gu, ETH Zurich, Switzerland & University of Sydney, Australia
● Kai Zhang, ETH Zurich, Switzerland
● Lei Zhang, The Hong Kong Polytechnic University
● Ming-Hsuan Yang, University of California at Merced, US
● Luc Van Gool, ETH Zurich, Switzerland 
and KU Leuven, Belgium

● Cosmin Ancuti, UPT, Romania
● Codruta O. Ancuti, University Politehnica Timisoara, Romania
● Kyoung Mu Lee, Seoul National University, Korea
● Michael S. Brown, York University, Canada
● Eli Shechtman, Adobe Research
● Zhiwu Huang, ETH Zurich, Switzerland
● Seungjun Nah, Seoul National University, Korea
● Abdelrahman Kamel Siddek Abdelhamed, York University, Canada
● Mahmoud Afifi, York University, Canada
● Boaz Arad, Voyage 81, Israel
● Shanxin Yuan, Huawei Noah's Ark Lab, UK
● Gregory Slabaugh, Huawei Noah's Ark Lab, UK

SPEAKERS (TBA)
SPONSORS (TBA)

special session on Deep Learning , Reinforcement Learning and Attention Architectures

Dear All,

We are inviting you to submit to our special session on Deep Learning , Reinforcement Learning and Attention Architectures in IJCNN2020 (International Joint Conference on Neural Networks) in Glasgow which is an A ranked conference in a nearby location.

Could you kindly spread the word for any researcher who might be interested.

 

https://sites.google.com/view/ijcnn2020session53

 

 

Best,

Dr Abdulrahman Altahhan,

Senior Lecturer in Computing

School of Built Environment, Engineering and Computing

Caedmon Hall, Room 228,

Leeds Beckett University, Headingley Campus

Leeds LS6 3QS

Tel: 0113 812 5374

Email: A.Altahhan@leedsbeckett.ac.uk

 

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