Call for Papers
Invited Speakers (slides are now available)
- Yoshua Bengio, U. Montreal.
- Xiaodong He, MS Research.
- Julie Bernauer, NVIDIA.
- Randall C. O’Reilly, U. Colorado Boulder.
- Rahul Sukthankar, Google.
- Andrea Vedaldi, Oxford.
- Xiaogang Wang, Chinese University of Hong Kong
See full speakers' bio here
Google sponsored three travel grants to:
- Konda Reddy Mopuri, IISc, Bangalore
- Hossein Azizpour, KTH
- Zhangyang Wang, UIUC, USA
NVIDIA sponsored the best paper award with a TitanX board to:
- From Generic to Specific Deep Representations for Visual Recognition. Hossein Azizpour et al.
Description of the workshop
The goal of the DeepVision Workshop 2015 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. We encourage researchers to formulate innovative learning theories, feature representations, and end-to-end vision systems based on deep learning. We also encourage new theories and processes for dealing with large scale image datasets through deep learning architectures. We are soliciting original contributions that address a wide range of theoretical and practical issues including, but not limited to:
- Supervised and unsupervised algorithms in computer vision,
- Deep learning hardware and software architecture,
- Advancements in deep learning,
- Large scale computer vision problems including object recognition, scene analysis, industrial and medical applications.
- Andrej Karpathy. Stanford University, USA
- Adriana Romero. Computer Vision Center, Spain
- Andrew D. Bagdanov. Computer Vision Center, Spain
- Hubert Cecotti. University of California, USA
- Kevin Duh. Nara Institute of Science and Technology, Japan
- Carlo Gatta. Computer Vision Center, Spain
- Gary B. Huang. University of Massachusetts Amherst, USA
- David Jacobs. University of Maryland, USA
- Angjoo Kanazawa. University of Maryland, USA
- Yezhou Yang. University of Maryland, USA
- Andreas Muller. University of Bonn, Germany
- Michael Pfeiffer. ETH Zurich, Swizerland
- Pierre Sermanet. New York University, USA
- Nathan Silberman. New York University, USA
- Xiaogang Wang. The Chinese University of Hong Kong
- Fang Wang. NICTA, Australia
- Joost van de Weijer. Computer Vision Center, Spain
- Christian Wolf. Universitéde Lyon, France
- Ming Yang. Northwestern University, USA
- Graham Taylor, University of Guelph, Canada
- Ross Girshick, Microsoft Research, USA
- Ning Zhang. Berkeley, USA
- Ouyang Wanli.Chinese University of Hong Kong