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.)