International Conference on Computational Photography

Carnegie Mellon University, Pittsburgh, PA

May 4 - 6, 2018

Program

Program Summary

Video Playlist of ICCP 2018 Talks
All lectures will be held in McConomy auditorium in Cohon University Center.
Lunch and poster sessions will be held in Wiegand gym.
Reception will be held in Phipps Outdoor garden.
Talks are scheduled for 20 minutes each, followed by 5 minutes for Q&A session.

Download the ICCP 2018 program flyer here.

Friday, May 04 - Morning Session
8:15 Registration
9:00 Welcome
9:15 Session 1 (3 talks)
Session Chair: Sanjeev Koppal
10:30 Coffee break
11:00 Keynote 1: Prof. Kyros Kutulakos
Rethinking Structured Light
Session Chair: Srinivasa Narasimhan
12:00 Lunch in Wiegand gym
Afternoon Session
1:30 Session 2 (3 talks)
Session Chair: Oliver Cossairt
2:45 Coffee break
3:15 Session 3 (3 talks)
Session Chair: Jean-Francois Lalonde
4:30 Optional Lab Tour: Details TBD
6:30 Reception at Phipps Conservatory
Saturday, May 05 - Morning Session
8:30 Registration
9:00 Session 4 (4 talks)
Session Chair: Mohit Gupta
10:40 Coffee break
11:00 Keynote 2: Prof. Quyen Nguyen
Molecular Navigation for Cancer Diagnosis and Surgery - Imaging Tumors and Nerves
Session Chair: Andreas Velten
12:00 Lunch in Wiegand gym
Afternoon Session
1:30 Session 5 (4 talks)
Session Chair: Kalyan Sunkavalli
3:10 Poster session
6:45 Happy Hour at Porch Restaurant
Sunday, May 06 - Morning Session
8:30 Registration
9:00 Session 6 (4 talks)
Session Chair: Ioannis Gkioulekas
10:40 Coffee break
11:00 Keynote 2: Prof. Sönke Johnsen
Seeing the Underwater World through the Eyes of Animals
Session Chair: Laura Waller
12:00 Lunch in Wiegand gym
Afternoon Session
1:30 Session 7 (4 talks)
Session Chair: Ramesh Raskar
3:10 Concluding remarks and award ceremony

Accepted Demos

D01. 24k Video from a Mantis Array Camera
D02. Accommodating the Human Eye by Building Virtual Worlds with Dense Focal Stacks
D03. Dynamic Photometric Stereo Method using Multi-tap CMOS Image Sensor
D04. Compressed Color Light Field Camera
D05. KRISM: Krylov subspace-based optical computing of hyperspectral images
D06. Focal Track: Depth and Accommodation with Oscillating Lens Deformation
D07. Dual Structured Light 3D using a 1D Sensor
D08. FlatCams: Mask based lensless imagers and Face detection application
D09. Looking around corners using active computational imaging

Accepted Posters

P01. Confocal Non-Line-of-Sight Imaging with the Light Cone Transform
P02. Statistical Tomography of Microscopic Life
P03. Energy-efficient Imaging Pipelines for Computer Vision
P04. Dither-Enhanced Lidar Imaging
P05. Occluder Aided Computational Periscopy
P06. Fast Integral Image Estimation at 1% measurement rate
P07. Time-resolved Light Transport Decomposition for Thermal Photometric Stereo
P08. Learning Privacy Preserving Encodings through Adversarial Training
P09. Tracking Radioactive Sources through Sensor Fusion of Omnidirectional LIDAR and Isotropic Rad-detectors
P10. Depth and Transient Imaging with Compressive SPAD Array Cameras
P11. Learning Invariant Riemannian Geometric Representations Using Deep Nets
P12. Deep Learning Based Sinogram Correction for Metal Artifact Reduction
P13. Illuminant Spectra-based Source Separation Using Flash Photography
P14. A Perceptual Measure for Deep Single Image Camera Calibration
P15. Non-Uniform Blind Deblurring by Reblurring
P16. Single-photon 3D Imaging with Deep Sensor Fusion
P17. Motion-resolved Quantitative Differential Phase Contrast
P18. Single-exposure 3D microscopy with DiffuserCam
P19. Aperture Supervision for Monocular Depth Estimation
P20. Deep Diffusers - machine learning for lensless imaging
P21. 6-DOF Motion Blur Synthesis and Performance Evaluation of Light Field Deblurring
P22. Compressive epsilon photography for post-capture control in digital imaging
P23. Parameter-free Accelerated Gradient Descent for Phase Retrieval
P24. Evaluation of Lateral Resolution of Light Field Cameras
P25. Submodular Trajectory Optimization for Aerial 3D Scanning
P26. Computed Axial Lithography: how to build the Replicator from Star Trek
P27. Tracking Multiple Objects Outside the Line of Sight using Speckle Imaging
P28. A Deep Learning Framework for Light Field Reconstruction from Minimal Measurements
P29. Deep Surface Light Fields
P30. Image Deblurring for Material Science Applications in Optical Microscopy
P31. Single Image Rolling Shutter Rectification
P32. 4D Human Body Correspondences from Panoramic Depth Maps
P33. Solving Inverse Computational Problems using Deep Pixel-level Prior
P34. Compressive Hyperspectral Microscopy of Nanomaterials
P35. Physics-based time-of-flight renderer
P36. Signal Processing Based Pile-up Compensation for Gated Single-Photon Avalanche Diodes
P37. Interferometric measurement of sensor MTF
P38. Diffuse optical imaging for breast cancer monitoring
P39. EDR: Retinomorphic Event-Driven Representations for Motion Vision
P40. Exposure: A White-Box Photo Post-Processing Framework
P41. Determining Generic Point Configurations From Unlabeled Path or Loop Lengths
P42. Texture Analysis of Spatial Frequency Domain Imaging of Biological Tissue
P43. PPGSecure: Biometric Presentation Attack Detection Using Photoplethysmograms
P44. Computational X-ray Imaging using Document Scanners
P45. Dynamic Heterodyne Interferometry
P46. Automatic Estimation of Modulation Transfer Functions
P47. Reblur2Deblur: Deblurring Videos via Self-Supervised Learning
P48. Acquiring and Characterizing Plane-to-Ray Indirect Light Transport
P49. Deep Learning for the Design of Nano-photonic Structures
P50. Single-frame 3D fluorescence microscopy with ultraminiature lensless FlatScope
P51. Low-Rank plus Sparse Tensor Models for Light-field Reconstruction from Focal Stack Data