Archive for January, 2020

Call for Chapters – Deep Learning for Cancer Diagnosis (Springer)

https://easychair.org/cfp/book_dlcd_2020 Dear Colleagues; As we are near to completion of our edited Springer book project: "Deep Learning for Cancer Diagnosis" (edited by Utku Kose, PhD., & Jafar Alzubi, PhD.) we are seeking for final full chapters, which may contribute to the quality of the book. Interested authors are suggested to send their full chapters (as […]

IJCNN-WCCI2020: Special Session on GANs

TL;DR – CFP:  IJCNN special session on GANsGUEST EDITORS: Ariel Ruiz-Garcia, Vasile Palade, Jürgen Schmidhuber, Clive Cheong Took, Danilo MandicSUBMISSION DEADLINE(extended): 30th January 2020———————————-CALL FOR PAPERSSpecial Session on Deep and Generative Adversarial Learning IEEE World Congress on Computational Intelligence (IEEE WCCI 2020)International Joint Conference on Neural NetworksJuly 19-24, 2020 Glasgow, Scotland, UK Abstract:Generative Adversarial Networks (GANs) have proven […]

SHREC2020 call for track proposals

3D Shape Retrieval Challenge, SHREC2020, http://www.shrec.net/ Call for Track Proposals ========================   *New this year: In 2020, full paper submissions will follow a two-stage review process and will be published in the international journal Computes & Graphics upon acceptance.*   *Introduction*   The general objective of the 3D Shape Retrieval Contest is to evaluate the […]

2nd Edition of ImageCLEF Coral Annotation Challenge (@ CLEF 2020)

The 2nd Edition of the ImageCLEF Coral Annotation Challenge 2019 Website: https://www.imageclef.org/2020/coral  Motivation The increasing use of structure-from-motion photogrammetry for modelling large-scale environments from action cameras attached to drones has driven the next-generation of visualisation techniques that can be used in augmented and virtual reality headsets. It has also created a need to have such models […]

Image and Vision Computing

Image and Vision Computing CALL FOR PAPERS Special Issue on Advances in Domain Adaptation for Computer Vision   Aim and Scope:  In daily routines, humans, not only learn and apply knowledge for visual tasks but also have intrinsic abilities to transfer knowledge between related vision tasks. For example, if a new vision task is relevant […]

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