[image 02479] [CFP] 1st Workshop on Physics Based Vision Meets Deep Learning (PBDL) with ICCV17

[ShiBoxin]

image-ML の皆様

産総研のBoxin Shiです。

今年の10月23日のICCV (Venice, Italy) にて第1回Physics Based Vision Meets Deep Learning (PBDL) Workshopが開催されます。
キーノートに、東京大学の池内克史名誉教授をお迎し、ご講演をしていただく予定であります。

皆様からの多数の投稿をお待ちしております。

* Apologies if you receive multiple copies of this CFP.
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CALL FOR PAPERS
The 1st Workshop on Physics Based Vision Meets Deep Learning (PBDL)
In Conjunction with ICCV 2017, October 23, Venice, Italy
https://pbdl2017.github.io/
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Welcome to the 1st PBDL workshop. The goal is to encourage the interplay between physics based vision and deep learning. We welcome submissions of new methods in the classic physics based vision problems, but preference will be given to novel insights inspired by utilizing deep learning techniques. Relevant topics include but are not limited to
- Photometric based 3D reconstruction
- Radiometric modeling/calibration of cameras
- Color constancy
- Illumination analysis and estimation
- Reflectance modeling, fitting, and analysis
- Inverse graphics
- Material recognition and classification
- Transparency and multi-layer imaging
- Reflection removal
- Intrinsic image decomposition
- Light field imaging
- Multispectral/hyperspectral capture, modeling and analysis
- Vision in bad weather (dehaze, derain, etc.)
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Important Dates:
Submission deadline: July 20 (23:59 Pacific Time)
Decisions to authors: August 19
Camera-ready deadline: August 25
Workshop date: October 23 (AM only)
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Submission: 
Paper submission is through CMT: https://cmt3.research.microsoft.com/pbdl2017
The format for paper submission is the same as the ICCV 2017 submission format. 
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Organizers:
Yu Li, Researcher, Blackmagic Design Technology, Singapore
Ying Fu, Associate Professor, Beijing Institute of Technology, China
Shaodi You, Research Scientist, Data61-CSIRO; Adjunct Lecturer, Australian National University, Australia
Boxin Shi, Researcher, National Institute of Advanced Industrial Science and Technology, Japan
Robby T. Tan, Assistant Professor, Yale-NUS College; National University of Singapore, Singapore
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Contact:
For any inquiries regarding the workshop, please contact pbdl2017 ＠ gmail.com
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Boxin Shi (Ph.D.) 
Artificial Intelligence Research Center 
National Institute of Advanced Industrial Science and Technology (AIST) 
 
Email: boxin.shi ＠ aist.go.jp  
Web: shiboxin.com 
Tel: +81-3-3599-8679