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Workshop on

Biological and Artificial vision​ 

Amsterdam, The Netherlands 

October 8, 2016

Call for papers  

The aim of the workshop is to present ideas and studies narrowing the gap between biological vision and artificial vision. We encourage submissions not only from the computer vision/machine learning community but also from computational neuroscience, psychology, cognitive science and other related disciplines. For this purpose, we invite 4-page abstracts describing relevant work that has been recently published, is in progress, or is to be presented at other conferences. Review of the submissions will be double blind. All the accepted papers are to be uploaded arXiv. Authors of accepted abstracts will present their work in a poster session at the workshop. 

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Biology is the most fruitful and successful inventor of efficient solutions to biological vision problems. For one, all vision systems share the need to find a solution for reconstructing the 3D-world from isolated 2D-views. Also, material denomination and object recognition under different (pose, illumination, scale etc.) conditions occurs in any vision system, biological or artificial alike.


In computer science, the most successful and recent approaches to solving vision problems are similar to the complex hierarchical processing in biological brains. Deep neural networks have achieved human-like performance on object recognition. The results from computer science, in turn, have provided better understanding of visual processing in humans. An important next question is: how will biologically plausible mechanisms or architectures such as feedback and lateral inhibition, currently not addressed in artificial neural systems, lead to new computer vision algorithms? And, reversely, what object recognition architectures from computer science corresponds to the overall architecture in the brain ?

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List of speakers

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Organizing committee 

Kandan​ Ramakrishnan, Radoslaw Cichy, Sennay Ghebreab, H. Steven Scholte and Arnold W.M. Smeulders

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Please contact organizers : biologicalartificialvision@gmail.com

Topics  

  • Visual processing in the human brain 

  • Object recognition : brain and computer 

  • Deep neural networks and analogy to biological neural networks

  • Biologically plausible algorithms

  • Role of feedback in vision

  • Correspondence between biological and computer vision

  • Recurrent processing

  • Memory in visual processing

  • Natural image statistics

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Important Dates  

Submission deadline : Extended to 26 August 2016

Acceptance : Extended to 2 September 2016

Camera Ready : 9 September 2016

Workshop : 8 October 2016

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