AI & ACRA 2015 : Workshop on Deep Learning and its Applications in Vision and Robotics
Call For Papers
Workshop on Deep Learning and its Applications in Vision and Robotics
To be held in conjunction with AI 2015 and ACRA 2015 conferences
Canberra, Australia, 1st December 2015
Applications of deep learning have been proliferating at an astronomical rate in the recent times into various disciplines of engineering. The significant advancements that deep learning methods have brought out for large scale image classification tasks have generated a surge of excitement in applying the techniques to other problems in computer vision and more broadly into other disciplines of computer science, such as robotics. However, building deep learning algorithms for highly non-linear real-world problems such as those encountered in computer vision and robotics is non-trivial and requires substantial expertise. The goal of this workshop is to bring together researchers from Australia and Asia working in the field of deep learning to discuss recent advances, ongoing developments, and build collaborations by exchanging new ideas for future applications.
We invite contributions spanning all areas of deep learning for computer vision and robotics. A special interest is in the applications of deep learning techniques to problems arising in "real world" settings of vision and control.
The extended abstract submissions should be in IEEE Conference format and consist of no more than 4 pages (see the workshop website for submission details). Submitted papers will be peer-reviewed by multiple reviewers and low-quality papers will be rejected. Selected papers will form the basis for spotlight talks and poster discussions. The papers will not be archived; but we hope the presentations will generate discussions among the authors to improve their work and publish it elsewhere.
* Papers due: 29 September, 2015
* Notification: 15 October, 2015
* Camera-ready: 29 October, 2015
* Workshop: 1 December, 2015
BEST PAPER PRIZE:
Sponsored by nVidia, a GTX TITAN X Graphics Card will be awarded for the best paper.
AI 2015: http://www.ai2015.unsw.adfa.edu.au/
ACRA 2015: http://www.araa.asn.au/conferences/acra-2015/
Professor Wolfram Burgard, University of Freiburg,
Professor Chunhua Shen, University of Adelaide,
Dr. Jose Alvarez, Australian National University/NICTA, Canberra
Dr. Lizhen Qu, Australian National University/NICTA, Canberra
Dr. Jürgen Leitner, Queensland University of Technology, Brisbane
Dr. Anoop Cherian, Australian National University, Canberra
Dr. Sareh Shirazi, Queensland University of Technology, Brisbane