[image 02537] [2nd CFP] 1st Workshop on Physics Based Vision Meets Deep Learning (PBDL) with ICCV17

[ShiBoxin]

  投稿締切（7月20日 23:59PM PT）が迫りましたので，再度ご案内させていただきます．
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  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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  2nd 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. Physics based vision aims to invert the processes to recover the scene properties, such as shape, reflectance, light distribution, medium properties, etc., from images. In recent years, deep learning shows promising improvement for various vision tasks. When physics based vision meets deep learning, there must be mutual benefits. 
  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. Papers that violates the anonymity, do not use the ICCV submission template or have more than 8 pages (excluding references) will be rejected without review. The accepted papers will appear in the proceedings of ICCV 2017 workshops. In submitting a manuscript to this workshop, the authors acknowledge that no paper substantially similar in content has been submitted to another workshop or conference during the review period.
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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 

  
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