Tentative program outline:
| Time | Description |
|---|---|
| 8:30 | Introduction and Welcome |
| 8:35 | Oral 1: In Defense of Shallow Learned Spectral Reconstruction from RGB Images |
| 8:50 | Oral 2: Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB |
| 9:05 | Oral 3: Photo-realistic Simulation of Road Scene for Data-Driven Methods in Bad Weather |
| 9:20 | Oral 4: Deep Photometric Stereo Network |
| 9:35 | Keynote 1 by Prof. Katsushi Ikeuchi |
| 10:20 | Break |
| 10:30 | Keynote 2 by Asst. Prof. Manmohan Chandraker |
| 11:15 | Oral 5: Hierarchical Feature Degradation based Blind Image Quality Assessment |
| 11:30 | Oral 6: HSCNN: CNN-Based Hyperspectral Image Recovery from Spectrally Undersampled Projections |
| 11:45 | Oral 7: PVNN: A neural network library for photometric vision |
| 12:00 | Best Paper Award and Closing Remarks |