Important Dates
Paper submission deadline: March 5th 2018Paper acceptance notification: April 3rd 2018Camera-ready deadline: April 10th 2018Poster/demo submission deadline: May 30th 2018- Workshop date: June 22nd 2018
Venue
The CCD workshop is part of the CVPR 2018 workshops. Please see the CVPR webpage for information on venue, accommodations, and other details!
The CCD workshop is taking place at Room 254 - C of the convention center.
Latest News
- January 28th 2018: Website online.
- April 26th 2018: Keynote speakers and program announced.
Participate
Paper Submissions
Paper submissions are handled through the workshop's CMT website: https://cmt3.research.microsoft.com/CCD2018
The paper submission deadline is Moday, March 5th 2018. Submissions can be up to 8 pages in length (excluding references) prepared using the CVPR-CCD Author Kit. Supplementary material can also be submitted if appropriate. Videos should be in a common format, e.g., MPEG-1, MPEG-4, XviD, or DivX. The submission and review process is double blind, so please avoid providing any information that may identify the authors.
The accepted papers will appear in the CVPR proceedings, on IEEE Xplore and on the CVF website.
Poster/Demo Submissions
CCD's poster and demo session provides an excellent opportunity for attendees to present recently published works or late-breaking results. Note that unlike paper submissions, posters and demos do not have to be original works.
To submit a poster or demo, email us directly at ccd-workshop-2018@lists.wisc.edu with the subject "CCD Poster" by May 30th. Submissions should include a title, authors, affiliations, and a short description of the proposed poster or demo. We also encourage submitting supporting material (e.g. published papers, videos).
Program
8:30 – 8:45 | Welcome and Opening Remarks |
8:45 – 9:45 | Keynote talk Extra-terrestrial computational imaging, with down-to-Earth outcomes |
9:45 – 10:15 | Poster spotlights |
10:15 – 10:45 | Morning break |
10:45 – 11:45 | Session 1 Space-Time-Brightness Sampling Using an Adaptive Pixel-Wise Coded Exposure Invited Talk: Time resolved computational imaging through scattering Invited Talk: Depth from Differential Defocus |
11:45 – 13:15 | Lunch break |
13:15 – 14:15 | Session 2 Multi-Capture Dynamic Calibration of Multi-Camera Systems Jittered Exposures for Image Super-Resolution Invited Talk: Visual Rhythm and Vibration Analysis |
14:15 – 15:15 | Keynote talk Imaging with Scattered Light |
15:15 – 16:15 | Afternoon break and poster/demo session |
16:15 – 17:15 | Keynote talk Computing Realities: A Journey from Virtual to Mixed Reality and Spatial Computing |
17:15 – 17:30 | Closing Remarks |
Keynote talks
Yoav Schechner, Technion - Israel Institute of Technology
Title: Extra-terrestrial computational imaging, with down-to-Earth outcomes
Abstract: TBA.
Bio: After physics degrees and research specializing in wave optics and being a former weather forecaster, Yoav Schechner earned PhD in Electrical Engineering in 2000. He specializes in computational photography and diverse physics-based inverse problems. He had been a research scientist at Nayar's lab (CS, Columbia U.), before joining the Technion as faculty in 2002. He was a visiting scientist in MIT-CSAIL, Caltech and NASA's Jet Propulsion Laboratory. The JPL experience was an introduction to big-science projects, prompting him to a take a sustained research effort in atmospheric sciences. This path follows his research on underwater imaging, multiplexed sensing, polarization and diffractive optics (depth from rotating point spread functions). Recent works include "3D in natural random refractive distortions" (The Fumio Okano Best 3D Paper Award) - describing virtual periscopes and turbulence tomography; “Computational imaging on the electric grid" (Best Student Paper, CVPR 2017) and "Dynamic heterodyne interferometry" (Best Paper Award, ICCP 2018).
Ori Katz, Hebrew University of Jerusalem
Title: Imaging with Scattered Light
Abstract: Random scattering of light in complex samples such as biological tissue renders most objects opaque to optical imaging techniques, diffusing every focused beam into a complicated speckle pattern. However, although random, scattering is a deterministic process, and it can be undone and also exploited by controlling the incident optical wavefront, using computer controlled spatial light modulators (SLMs). These insights form the basis for the emerging field of optical wavefront-shaping. Opening the path to new possibilities, such as imaging through visually opaque samples and around corners. The major challenge in the field today is in determining the required wavefront correction without accessing the far side (target side) of the scattering sample. I will present some of our recent efforts in addressing this challenge. These include the use of optical nonlinearities, the photoacoustic effect, and acousto-optics to focus and control light non-invasively inside scattering samples. I will also show how by exploiting inherent correlations of scattered light, it is possible to image through scattering layers and "around corners" using nothing but a smartphone camera. If time permits, I will present the use of these principles for endoscopic imaging through optical fibers.
Bio: Ori Katz is the head of the Advanced Imaging Lab at the Department of Applied Physics, Hebrew University of Jerusalem. His research is focused on overcoming the limitations imposed by light scattering on imaging through visually opaque samples or around corners, by combining scattered light and (ultra)sound for computational imaging. Ori obtained his PhD in Physics from the Weizmann Institute of Science, Rehovot (2012), and performed his post-doctoral research at Institut Langevin (ESPCI) and Labpratoire Kastler Brossel (ENS) in Paris.
Laura Trutoiu, Magic Leap
Title: Computing Realities: A Journey from Virtual to Mixed Reality and Spatial Computing
Abstract: In the past five years we have seen an exponential increase in the available technology, both software and hardware, for virtual (VR), augmented (AR), and mixed reality (MR) applications. The full history of MR technology though is deeper and richer. I will share the progression of technology through the lens of my personal journey from VR to MR and spatial computing. I will discuss my prior research in instrumenting VR headsets with an emphasis on novel sensing technology and communication as a key driving scenario and conclude by discussing spatial computing, the north star for next generation computing platforms.
Bio: Laura Trutoiu is a Senior Computer Scientist in Magic Leap’s Advanced Technology office in Seattle. Her research spans computer graphics, human perception, and sensing and interaction for virtual and mixed reality systems. Laura’s prior work has focused on enabling face-to-face communication in head-mounted displays and realistic facial animations for avatars. She graduated with a PhD from the Robotics Institute at Carnegie Mellon University where she worked on perceptually valid facial animation. Laura has conducted research in several industry labs including Disney Research, Industrial Light and Magic, Oculus Research, and currently Magic Leap.
People
Workshop chairs
Mohit Gupta, University of Wisconsin-Madison
Sanjeev J. Koppal, University of Florida
Ioannis Gkioulekas, Carnegie Mellon University
Program committee
Salman Asif, University of California, Riverside
Nicolas Bonneel, CNRS
Ayan Chakrabarti, Washington University in St. Louis
Oliver Cossairt, Northwestern University
Felix Heide, Stanford University
Jason Holloway, Northwestern University
Suren Jayasuriya, Arizona State University
Achuta Kadambi, Massachusetts Institute of Technology
Ulugbek Kamilov, Washington University in St. Louis
Guru Krishnan, Snap
Jean-Francois Lalonde, Université Laval
Douglas Lanman, Oculus Research
Chia-Kai Liang, Google
Belen Masia, Universidad de Zaragoza
Nathan Matsuda, Northwestern University
Kaushik Mitra, Rice University
Matthe O'Toole, Stanford University
Adithya Pediredla, Rice University
Aswin Sankaranarayanan, Carnegie Mellon University
Jinli Suo, Tsinghua University
Yuichi Taguchi, Mitsubishi Electric Research Labs
James Tompkin, Brown University
Jian Wang, Carnegie Mellon University