[visionlist] IJCV special issue on Computer Vision in the Wild

may4mc may4mc at gmail.com
Tue Oct 1 17:05:30 -04 2019


Could you kindly publish the CFP below to the mailing list?



Call-for-paper: special issue on Computer Vision in the Wild

Guest editors: Mei Chen, Cha Zhang, Katsu Ikeuchi

Computer vision started as a sub-area of artificial intelligence, of which
the goal was to build artificial life forms by using computers. Since the
external world surrounding us is three-dimensional and the image projected
on a retina or an imaging device is two-dimensional, significant efforts
have been devoted to developing algorithms for recognizing the 3D world
using computers in the similar way that human visual system works. The key
challenge has been to augment the dimensional reduction by emulating
the *common
sense* of human being, developed in their long history of evolution, using
computational models.

Computer vision has long been considered a research area that only
satisfies academic curiosities. The formulation of common sense in rigorous
mathematical models is an exciting endeavor. However, due to extensive
computational time and/or fragile characteristics of resulting models
mainly based on linear approximation, they were considered less practical
and only able to handle toy problems.

Evidence abounds that Cambrian explosion is happening in computer vision.
For example, the CVPR conferences in the 1990s and 2000s had typically
around 500 attendees. The number of participants reached almost 10,000 at
CVPR 2019. That is a 20 times increase in about 10 years. The number of
start-ups in computer vision and the amount of venture funding invested in
this area are skyrocketing. This is because people now believe that the
recent breakthroughs have made computer vision techniques work in the real
world, and that computer vision is overcoming the barrier of linear
approximation and has become a serious business. Cambrian explosion in
biology occurred due to the acquisition of visual organs, while Cambrian
explosion in computer vision is occurring thanks to the disruption brought
upon by deep learning techniques, supported by big data and
high-performance computing platforms.

This special issue aims to highlight cutting-edge research results that
lead to the Cambrian explosion in computer vision. We especially look
forward to manuscripts that present the current level of the
state-of-the-art and indicate the limitations yet to be overcome for
reaching the next stage of developments.

The scope includes (but is not limited to):

·        Pattern detection/recognition in the wild

·        Face detection/recognition/tracking in the wild

·        Object detection/recognition/tracking in the wild

·        Gesture detection/recognition in the wild

·        Event/action detection/recognition in the wild

·        Low-shot learning in the wild

·        Augmented/virtual/mixed reality in the wild

·        Autonomous driving and field robotics

Authors are encouraged to submit high-quality, original work that has
neither appeared in, nor is under consideration by other journals. All
papers will be reviewed following standard reviewing procedures for the
Journal. Papers must be prepared in accordance with the Journal guidelines:
 . Please submit manuscripts to: http://VISI.edmgr.com
Select the article type, “Computer Vision in the Wild” when submitting.

Submission deadline: Dec 20th, 2019.

Notification of acceptance: April, 2020.

Special issue: July 2020.
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