[robotics-worldwide] [meetings] CALL FOR PAPERS The 2nd Workshop on Physics Based Vision Meets Deep Learning (PBDL2019)

Shaodi YOU youshaodi at gmail.com
Thu Jul 25 00:19:52 PDT 2019


=================================================================

CALL FOR PAPERS

The 2nd Workshop on Physics Based Vision Meets Deep Learning (PBDL2019)

In Conjunction with ICCV 2019, November 2, Seoul, Korea

https://urldefense.proofpoint.com/v2/url?u=https-3A__pbdl2019.github.io_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=gTFnqk1FcMFfA5M1FltGRY5W8LzAnJjVUqrQlyCpLlg&s=6WRLqKUhuztmCy8xXAZamo9X777392l_H-cmKQ4D-h4&e= 
<https://urldefense.proofpoint.com/v2/url?u=https-3A__pbdl2019.github.io_&d=DwMFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=74kzS78yxlS8nSnFzcpYiNhuFyA6RLfo2G1TsbwE2U4&s=oLTzSWq8KHI4FQX5fA5NJjKJMP0dlOhiXYzLh8CM4m8&e=>

------------------------------------------------------------

Following the success of 1st ICCV Workshop on Physics Based Vision Meets
Deep Learning (PBDL2017). We propose the 2nd workshop using the same title
and topics with ICCV 2019. 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 3D reconstruction

- Polarimetric 3D reconstruction

- Radiometric modeling/calibration of cameras

- Illumination analysis and estimation

- Reflectance modeling, fitting, and analysis

- Inverse graphics

- Material recognition and classification

- Reflection removal

- Intrinsic image decomposition

- Transparency and multi-layer imaging

- Vision in bad weather (dehaze, derain, etc.)

- Bio-inspired sensors

- Multimodal sensor fusion

- Light field imaging

- Color constancy

- Multispectral/hyperspectral capture, modeling and analysis

------------------------------------------------------------

Important Dates:

Submission deadline: August 2, 2019 (23:59 Pacific Time)

Decisions to authors: August 23, 2019

Camera-ready deadline: August 30, 2019

Workshop date: November 2, 2019 (AM only)

------------------------------------------------------------

Submission:

Paper submission is through CMT:
https://urldefense.proofpoint.com/v2/url?u=https-3A__cmt3.research.microsoft.com_pbdl2019&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=gTFnqk1FcMFfA5M1FltGRY5W8LzAnJjVUqrQlyCpLlg&s=YhCVDRhiKd2p8-Un4p39Uucfw5jsMh3QX8y8dlslmMA&e= 
<https://urldefense.proofpoint.com/v2/url?u=https-3A__cmt3.research.microsoft.com_pbdl2019&d=DwMFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=74kzS78yxlS8nSnFzcpYiNhuFyA6RLfo2G1TsbwE2U4&s=9mqYK_tdVNWzjWpTfIxZ6ZSIVeyz3x-OGfAzK0VWHW8&e=>

The format for paper submission is the same as the ICCV 2019 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
2019 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.

------------------------------------------------------------

Organizers:

Yu Li, Tencent, China

Ying Fu, Beijing Institute of Technology, China

Shaodi You, Data61-CSIRO & Australian National University, Australia

Yinqiang Zheng, National Institute of Informatics, Japan

Feng Lu, Beihang University, China

Boxin Shi, Peking University, China

Robby T. Tan, Yale-NUS College & National University of Singapore, Singapore

------------------------------------------------------------

Contact:

For any inquiries regarding the workshop, please contact: pbdl.ws at gmail.com

=================================================================


-- 
YOU, Shaodi
youshaodi at gmail.com


More information about the robotics-worldwide mailing list