Call for Papers
DeepVision: Deep Learning in Computer Vision
The goal of the DeepVision Workshop is to accelerate the study of deep learning algorithms 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 image understanding. Instead of hand crafting features, recent advancement in deep learning suggests an emerging approach to extracting useful representations for many computer vision tasks.
- Gabriel Kreiman, Harvard University, USA
- Sanja Fidler, University of Toronto, Canada
- Raia Hadsell, Google DeepMind, UK
- Hugo Larochelle, Universite de Sherbrooke, Canada
- Lior Wolf, Facebook AI Research
- Jose M. Alvarez, Data61 (CSIRO), Australia
- Nathan Silberman, Google Research, USA
- Dhruv Batra, Facebook AI Research / Georgia Tech, USA
- Yann LeCun, Facebook AI Research / NYU, USA
Temporal Deep Learning
Videos contain valuable temporal information that can be exploited to achieve better performance. Exploiting temporal information is of great importance in computer vision applications, like object tracking and recognition, scene analysis and understanding, etc. Deep learning based techniques are challenged to employ temporal information in such applications. Although some advances have been performed in this direction, mainly involving 3D convolutions, motion-based input features, or deep temporalbased models such as RNN-LSTM, significant advances are expected to be performed in this field.
- Maja Pantic, Imperial College London, UK
- Trevor Darrell, University of California, Berkeley, USA.
- Xiaogang Wang, Chinese University of Hong Kong
- The submission site is https://cmt3.research.microsoft.com/DV2017/
- The maximum paper length is 8 pages (including references!) using the CVPR main conference format.
- Submissions will be rejected without review if they contain more than 8 pages or violate the double-blind policy.
- All the selected papers will be included in Proceedings of CVPR 2017 and made available on IEEE eXplore.
- Paper Submission: March 31st, 2017
- Supplemental Material Submission: March 31st, 2017
- Author Notification: April 21st, 2017
- Camera Ready: May 15th, 2017
- Kamal Nasrollahi, Aalborg University, Denmark
- Sergio Escalera, University of Barcelona, Spain
- Ajmal Mian, The University of Western Australia, Australia
- Gholamreza Anbarjafari, University of Tartu, Estonia
- Thomas B. Moeslund, Aalborg University, Denmark