[visionlist] [CfP] Fast Review Track for ICCV papers @ DAGM GCPR 2021

[Juergen Gall]

If your ICCV 2021 submission has not been accepted but you can address 
the concerns of the ICCV reviewers by a minor revision of the paper, you 
can submit a revised version of the paper to the Fast Review Track 
(https://dagm-gcpr.de <https://dagm-gcpr.de>). The review process takes 
only 3 weeks and is similar to the reviewing process of a journal for a 
minor revision.

Dates:

  *

    Paper Submission Deadline: 4.8.

  *

    Supplementary Material Deadline: 4.8.

  *

    Decisions to Authors: 26.8.

The DAGM German Conference on Pattern Recognition (DAGM GCPR) 2021 is 
the 43rd annual symposium of the German Association for Pattern 
Recognition (DAGM <http://www.dagm.de>). It will be held from

September 28 - October 1, 2021

https://dagm-gcpr.de <https://dagm-gcpr.de>

as a virtual conference.

Calls as PDF:

  *

    Call for Papers: https://dagm-gcpr.de/data/CallforPapers.pdf
    <https://dagm-gcpr.de/data/CallforPapers.pdf>

  *

    Nectar Tracks:https://dagm-gcpr.de/data/CallforNectarTracks.pdf
    <https://dagm-gcpr.de/data/CallforNectarTracks.pdf>

DAGM GCPR is an international premier venue for recent advances in 
pattern recognition including image processing, machine learning, and 
computer vision and welcomes submissions from all areas of pattern 
recognition. Authors are invited to submit high-quality papers 
presenting original research. Submitted papers will be reviewed based on 
the criteria of originality, soundness, empirical evaluation, and 
presentation. Accepted papers will be published by Springer as a 
proceeding of the Lecture Notes in Computer Science (LNCS 
<https://link.springer.com/conference/dagm>). The best papers will be 
invited to contribute to a special issue of the International Journal of 
Computer Vision (IJCV). Revised ICCV 2021 submissions can be submitted 
to the Fast Review Track.

Topics of interest include, but are not limited to, the following:

  *

    Image/video processing, analysis, and computer vision

  *

    Machine learning and pattern recognition

  *

    Mathematical foundations, statistical data analysis and models

  *

    Computational photography and confluence of vision and graphics

  *

    Biomedical image processing and analysis

  *

    Document analysis

  *

    Biometrics

  *

    Applications

Keynote Speakers:

  *

    David Forsyth (University of Illinois at Urbana-Champaign)

  *

    Kristen Grauman (University of Texas at Austin, Facebook AI Research)

  *

    Thorsten Joachims (Cornell University)

  *

    Jiri Matas (Czech Technical University, Prague)

Speakers at Special Session on Unsolved Problems in Pattern Recognition:

  *

    Thomas Brox (University of Freiburg)

  *

    Joachim M. Buhmann (ETH Zurich)

  *

    David Forsyth (University of Illinois at Urbana-Champaign)

  *

    Kristian Kersting (TU Darmstadt)

  *

    Anna Khoreva (Bosch Center for Artificial Intelligence)

  *

    Laura Leal-Taixé (TU Munich)

  *

    Jiri Matas (Czech Technical University, Prague)

  * Eckart Michaelsen (Fraunhofer IOSB)

Awards:

  *

    Best Paper Award

  * German Pattern Recognition Award
  * DAGM MVTec Dissertation Award
  *

    Best Master's Thesis Award


Organizers:

  *

    Juergen Gall (University of Bonn)

  *

    Christian Bauckhage (University of Bonn)

  *

    Alexander Schwing (University of Illinois at Urbana-Champaign)

  *

    Michael Möller (University of Siegen)

  *

    Wolfgang Förstner (University of Bonn)


Contact: dagm-gcpr at googlegroups.com <mailto:dagm-gcpr at googlegroups.com>

Twitter: https://twitter.com/dagmgcpr <https://twitter.com/dagmgcpr>

-- 
DAGM GCPR 2021
28.9.2021-1.10.2021
Bonn, Germany
https://dagm-gcpr.de

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