in conjunction with the
12th Asian Conference on Computer Vision (ACCV 2014)
Nov. 1-5, 2014, Singapore
News
1.
Paper submission for the special issue of the
journal of neurocomputing is
now open.
2.
Slides
of the keynote speech by Dr. Shuicheng Yan.
3.
Our workshop proposal was accepted by the journal of neurocomputing (SCI
Impact Factor: 2.005).
·
Those good
papers accepted by ACCV2014 workshop will be recommended to
this special issue.
·
All manuscripts of this special issue will be
submitted and reviewed via online Elsevier Editorial System (EES).
·
Timeline for this special issue
Paper
submission: January 1, 2015
Reviewing
process and revision submission: July 1,
2015
Production
process (online publication): November
1, 2015
4.
Paper submission for
the workshop is now open
Submission
1. Paper submission is now open
2.
The authors will submit full
length papers (ACCV format)
on-line, including (1) Title of paper & short abstract summarizing the main
contribution, (2) Names and contact info of all authors, also specifying the
contact author, (3) Contributions must be written and presented in English, and
(4) The paper in PDF format.
Abstract
There has been much interest in object and view matching using local invariant features, classification of textured regions using micro textons and in face recognition using local features. How to extract robust representations for many computer vision tasks is still a challenging problem. This workshop will focus on the developing of new robust local descriptors to extract useful feature representations for these challenges.
Topics
We
encourage researchers to develop new robust local descriptors to extract useful
feature representations for these challenges. We also encourage new theories
and processes related to local descriptors for dealing with these challenges.
We are soliciting original contributions that address a wide range of
theoretical and practical issues including, but not limited to:
Motivation
The
goal of the RoLoD Workshop 2014 is to accelerate the study of robustness of
local descriptors in computer vision problems. With the increase of
acceleration of digital photography and the advances in storage devices over
the last decade, we have seen explosive growth in the available amount of
visual data and equally explosive growth in the computational capacities for data understanding. How to extract
robust representations for many computer vision tasks is still a challenging
problem. This problem becomes more difficult when the data show different types of
variations, e.g., noise, illuminations, scale, rotations and occlusions.
Important Dates
Paper Submission Information
The authors will submit full length papers (ACCV format)
on-line, including (1) Title of paper & short abstract summarizing the main
contribution, (2) Names and contact info of all authors, also specifying the
contact author, (3) Contributions must be written and presented in English, and
(4) The paper in PDF format. All submissions will be peer-reviewed by at least
3 members of the program committee.
Workshop Chairs
Invited Speakers:
Topic: PASCAL VOC Classification: Local Features vs.
Deep Features
Prof. Shuicheng
Yan
National University
of Singapore
Program Committee:
·
Aleix Martinez, Ohio State University, USA
·
Alice Caplier, Grenoble, France
·
Bin Fan,
Chinese Academy of Sciences, China
·
Baochang Zhang Beihang
University, China
· Engin Tola, Aurvis R&D, Turkey
·
Enrique Alegre, University of León,
Spain
·
Francesca Odone, university of Genova, Italy
·
Giovanni Fusco, Smith-Kettlewell Eye Research Institute, USA
·
Huu Tuan NGUYEN, Grenoble, France
·
Hazim Kemal Ekenel, Karlsruhe Institute of Technology, Germany
·
Ioannis Patras Queen Mary University, UK
·
Jean-Luc, Dugelay, Eurecom, France
·
Juho Kannala, University of Oulu, Finland
·
Jun Yang,
Northwestern Polytechnical University, China
·
Lijun Yin, Binghamton
University, USA
·
Lei Zhang, Hong Kong Polytechnic
University, Hong Kong, China
·
Loris Nanni, University of Padua (Padova), Italy
·
Michael Teutsch, Fraunhofer IOSB, Germany
·
Motilal
Agrawal, Menlo Park, CA, USA
·
Nicoletta Noceti, University of Genova, Italy
·
Rainer Lienhart, Universität Augsburg,
Germany
·
Ruiping Wang, Chinese Academy of Sciences,
China
·
Rocio A Lizarraga-Morales, Universidad de Guanajuato DICIS,
Mexico
·
Sei-ichiro Kamata, Waseda University, Japan
·
Shu Liao, Siemens, USA
·
Shengcai
Liao, NLPR, Chinese Academy of Sciences, China
·
Tiago de Freitas Pereira, University of Campinas (UNICAMP),
Brazil
·
Tri Huynh, Eurecom, France
·
Wenchao
Zhang, Nanyang technological university, Singapore
·
Xianbiao Qi, Beijing
University of Posts and Telecommunications, China
·
Xiaoyang Tan, Nanjing University of
Aeronautics and Astronautics, China
·
Xiujuan Chai, ICT, Chinese Academy of
Sciences, China
·
Xiaopeng Hong, University of Oulu, Finland
Contact
Jie Chen
Email: rolod2014@gmail.com
Center for Machine Vision Research (CMV),
University of Oulu, Finland
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