Honolulu, HI, U.S.A. | 21 July, 2017

Computer Vision and Pattern Recognition (CVPR 2017) Workshop

Deep Learning for Robotic Vision

Scope  Travel Grants  Call for Contributions  Programme 

Event Description

Recent advances in deep learning techniques have made impressive progress in many areas of computer vision, including classification, detection, and segmentation. While all of these areas are relevant to robotics applications, robotics also presents many unique challenges which require new approaches.
Challenges include the need for real-time analysis, the need for accurate 3d understanding of scenes, and the difficulty of doing experiments at scale. There are also opportunities which robotics brings to computer vision, for example, the ability to use depth sensors, to control where the camera is looking, and to provide a data source for "grounded" learning of concepts, reducing the need for manual labeling. We will consider work related to deep learning techniques in computer vision applied to a broad range of robotic devices, from self driving cars to drones to bipedal robots.

Invited Speakers

Jitendra Malik (UC Berkeley)
Raquel Urtasun (U Toronto)
Dieter Fox (U Washington)
Honglak Lee (Google Brain / U Michigan)
Abhinav Gupta (CMU)
Jianxiong Xiao (AutoX)
Andrew Davison (Imperial College London)
Richard Newcombe (Facebook)
Raia Hadsell (Google DeepMind)
Ashutosh Saxena (Brain of Things)


Tentative Programme

08:00 - 08:15
Welcome and Introduction (The organisers)
08:15 - 08:45
Invited Talk: Jitendra Malik (UC Berkeley)
08:45 - 09:15
Invited Talk: Andrew Davison (Imperial)
09:15 - 09:45
Invited Talk: Richard Newcombe (Facebook)
09:45 - 10:15
Refreshment Break
10:15 - 10:45
Invited Talk: Abhinav Gupta (CMU)
10:45 - 11:15
Poster Spotlights
11:15 - 12:15
Poster Session
12:15 - 13:30
Lunch Break
13:30 - 14:00
Invited Talk: Honglak Lee (Google Brain / U Michigan)
14:00 - 14:30
Invited Talk: Jianxiong Xiao (AutoX)
14:30 - 15:00
Invited Talk: Dieter Fox (U Washington)
15:00 - 15:30
Refreshment Break
15:30 - 16:00
Invited Talk: Raquel Urtasun (U Toronto)
16:00 - 16:30
Invited Talk: Ashutosh Saxena
16:30 - 17:00
Invited Talk: Raia Hadsell (DeepMind)
17:00 - 17:55
Panel Discussion
17:55
Concluding Remarks

Call for Contributions

Topics

A PDF version of the Call for Contribution can be downloaded here!

We invite contributions (2 page extended abstracts) related to:
  • Deep learning for robotic vision.
  • Other computer vision techniques applied to robotics problems.
  • DNN based object recognition, detection and segmentation for robotics.
  • End-to-end perception algorithms.
  • Real-time algorithms for robotics perception.
  • Vision-based Simultaneous Localization and Mapping (SLAM).
  • 3D Scene understanding.
  • Deep learning in navigation and autonomous driving
  • Deep learning in human-robot interaction
  • Lifelong deep learning in robotics
  • Perception algorithms deployed on various robotic systems.
  • Reliable confidence measures for deep classifiers.
  • Deep learning for embedded systems and platforms with limited computational power
  • Deep learning for smart environments
  • Deep learning applications for the visually impaired and for the ageing society
  • Active perception.
  • Semi-supervised and self-supervised learning for robotics.



Abstract Submission Deadline

Submit via https://cmt3.research.microsoft.com/DLRV2017 by
April 7, 2017 (extended)
March 31, 2017

Author Notification

April 30, 2017

Camera Ready Submission

May 15, 2017

CVPR Workshop Date

July 21, 2017




Travel Grants

Travel grants are available for students or postdocs whose papers are accepted to the DLVR17 workshop. The grants will be awarded on a competitive basis to a number of applicants who have a need for financial support to participate in the workshop. The grants are intended to partially support travel, and will not cover all travel expenses.

If you would like to apply for such a grant, please e-mail to trung.pham@adelaide.edu.au prior to May 21, 2017 with the following information:
  1. Full name
  2. Paper title
  3. Institution (city, state, country)
  4. Degree and area of study
  5. Cover letter for your travel grant application (describing why you are applying).
You may also attach a resume.

Sponsors

Organisers

Primary contact: Anelia Angelova <anelia@google.com>

Anelia Angelova

Research Scientist

Google Research /
Google Brain

Gustavo Carneiro

Associate Professor

Australian Centre for Robotic Vision
University of Adelaide

Kevin Murphy

Research Scientist


Google Research


Niko Sünderhauf

Postdoctoral Fellow

Australian Centre for Robotic Vision
Queensland University of Technology

Ian Lenz

Postdoctoral Fellow


University of Texas, Austin

Vijay Kumar

Postdoctoral Fellow

Australian Centre for Robotic Vision
University of Adelaide

Postdoctoral Fellow

Australian Centre for Robotic Vision
Queensland University of Technology

Trung T. Pham

Postdoctoral Fellow

Australian Centre for Robotic Vision
University of Adelaide


Ingmar Posner

Lecturer


University of Oxford

Michael Milford

Associate Professor

Australian Centre for Robotic Vision
Queensland University of Technology


Wolfram Burgard

Professor


University of Freiburg

Ian Reid

Professor

Australian Centre for Robotic Vision
University of Adelaide

Peter corke

Professor

Australian Centre for Robotic Vision
Queensland University of Technology


Program Committee

Kristen Grauman (University of Texas, Austin)
Oliver Brock (Technical University berlin)
Yezhou Yang (Arizona State University)
Alex Kendall (Cambridge University)
Hema Koppula (Amazon)
Sergey Levine (University of California Berkeley)
Ashesh Jain (Stanford)
Paul Wohlhart (Google X)
George Papandreou (Google Research)
Stefan Leutenegger (Imperial College London)
Chelsea Finn (University of California Berkeley)
Fereshteh Sadeghi (University of Washington)
Nathan Silberman (Google Research)
Chenxia Wu (Cornell University)
Pierre Sermanet (Google Brain)
Kevin Lai (Amazon)
Edward Johns (Imperial College London)
David Held (Stanford)
Rodrigo Benenson (Max-Planck Institute for Informatics)