CVPR'17 Workshop on YouTube-8M Large-Scale Video Understanding Call for Papers

CVPR'17 Workshop on YouTube-8M Large-Scale Video Understanding

We invite researchers to participate in a large-scale video
classification challenge and to report their results at this workshop,
as well as to submit papers describing research, experiments, or
applications based on the YouTube-8M video dataset. The dataset was
created from over 450,000 hours of video, spanning over 20 diverse
video domains.  In order to facilitate both academic institutions and
industry participation, we are providing video-level and frame-level
image and audio features extracted at a rate of one frame per second
for 7 million YouTube videos, which should enable researchers to train
machine learning classification models at this scale within days. In
parallel we are also running a Kaggle challenge on this dataset with a
first prize of $30,000. For more details, see the workshop website and
blog post.

Paper Submission Deadline     June 16, 2017
Paper Camera-Ready Deadline     July 14, 2017
Workshop date (co-located with CVPR'17)     July 26, 2017

CVPR 2017 Workshops Call for Proposals

CVPR 2017 Workshops Call for Proposals

CVPR 2017 Workshops Call for Proposals

Proposal Deadline: October 17, 2016
Notification by November 28, 2016

We are soliciting proposals for workshops to be held together with the
2017 Computer Vision and Pattern Recognition Conference (CVPR
2017). Workshops will take place on July 21 and July 26 at the same
venue as the main conference. The purpose of the workshops is to
provide a comprehensive forum on topics that will not be fully
explored during the main conference as well as to encourage in-depth
discussion of technical and application issues. We also welcome
"Challenge Workshops" that aim to compare new and established methods
on common data sets. CVPR 2017 organizers will collect workshop
registrations, provide facilities, and distribute electronic copies of
the workshop proceedings. There will be competition for workshop
space, time, and topic coverage. To enable the competitive selection
process, proposals must be specific and detailed in justifying
relevance and viability. Proposers may be asked to provide additional
information, modify aspects of their proposals, or combine their
proposal with another one. Also note that publication deadlines are
very tight between the main conference acceptance notification (March
3) and the workshop camera-ready deadline (April 27), so proposers
have to be ready to undertake all the work related to soliciting and
reviewing submissions and collecting final contributions in March and
April.

Proposals should be submitted by email to
cvpr-2017-workshops@googlegroups.com by October 17. Proposals should
be in PDF format and include the following information:

- Workshop title.

- Proposers' names, titles, affiliations, and primary contact email.

- Topics that will be covered.

- Background and experience that makes the proposers well suited for
organizing the workshop.

- Rough program outline (including preference for half- or full-day
event, estimated numbers of orals, posters, and invited talks).

- Names and bios of any invited speakers and indication of whether
they have agreed to speak.

- Anticipated target audience as well as expected number of attendees.

- Description of relevance and viability.

- Description of how this proposal relates to previous workshops at
CVPR/ICCV/ECCV (be as specific as possible).

- Any special space or equipment requests.

For any questions, please contact the workshop chairs, Mei Chen and
Jason Corso, at cvpr-2017-workshops@googlegroups.com.

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Call for Tutorial & Short Course Proposals
IEEE Conference on Computer Vision and Pattern Recognition 2017
Tutorials Chairs: Robert Pless and David Crandall
Proposal Deadline: Friday, November 18, 2016
Notification to proposers: Monday, November 28, 2016

We solicit proposals for short courses and tutorials to be held at the
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR
2017). Courses and tutorials will take place on July 21 and July 26,
the days before and after the main conference.

A CVPR short course or tutorial should aim to give a comprehensive
overview of a specific topic related to computer vision. A good course
should be educational rather than just a cursory survey of
techniques. The topic should be of sufficient relevance and importance
to attract significant interest from the CVPR community. Typical
tutorial audiences consist of graduate students studying computer
vision, but also include researchers and practitioners from both
academia and industry. We invite proposals for both half-day and
full-day courses, but anticipate that most courses will be half-day
unless the topic is expected to attract widespread community attention
or will require the additional time.

For more information about typical CVPR tutorials and short courses,
we encourage potential proposers to consult tutorial sites from recent
years:

- 2016: http://cvpr2016.thecvf.com/program/tutorials
- 2015: http://www.pamitc.org/cvpr15/tutorials.php
- 2014: http://www.pamitc.org/cvpr14/tutorials.php
- 2013: http://www.pamitc.org/cvpr13/tutorials.php
- 2012: http://www.cvpr2012.org/program-details/tutorials/

Proposals should be submitted by email to the Chairs
(pless@cse.wustl.edu, djcran@indiana.edu), either in plain-text or PDF
format. Please include the following information:

- Proposed title;

- Proposers' names, titles, affiliations, emails, and brief bio
sketches;

- Preference for half- or full-day event, and a brief justification;

- Course description with list of topics to be covered, along with a
brief outline and important details;

- Expected target audience, in terms of both composition and estimated
number of attendees;

- List of citations and/or URLs to relevant publications and/or
products by the organizers, and to other relevant related work;

- A description of how this proposal relates to tutorials/short
courses appearing at CVPR, ICCV, and ECCV within the last three years;

- Description of and/or links to any planned materials or resources to
be distributed to attendees.