| CARVIEW |
CCD 2020
CVPR workshop on cutting edge research on cameras and displays
Computational Cameras and Displays
Computational photography has become an increasingly active area of research within the computer vision community. Within the few last years, the amount of research has grown tremendously with dozens of published papers per year in a variety of vision, optics, and graphics venues. A similar trend can be seen in the emerging field of computational displays – spurred by the widespread availability of precise optical and material fabrication technologies, the research community has begun to investigate the joint design of display optics and computational processing. Such displays are not only designed for human observers but also for computer vision applications, providing high-dimensional structured illumination that varies in space, time, angle, and the color spectrum. This workshop is designed to unite the computational camera and display communities in that it considers to what degree concepts from computational cameras can inform the design of emerging computational displays and vice versa, both focused on applications in computer vision.
The CCD workshop series serves as an annual gathering place for researchers and practitioners who design, build, and use computational cameras, displays, and projector-camera systems for a wide variety of uses. The workshop solicits papers, posters, and demo submissions on all topics relating to projector-camera systems.
Previous CCD Workshops:
CCD2019, CCD2018, CCD2017, CCD2016, CCD2015, CCD2014, CCD2013, CCD2012
Download the group photos here
Workshop chairs
Katherine L. (Katie) Bouman, California Institute of TechnologyAchuta Kadambi, University of California - Los Angeles
David Lindell, Stanford University
Keynote Talks

Alexei (Alyosha) Efros, UC Berkeley
Title: Using Machine Learning to Detect Image Manipulation

Sabine Susstrunk, EPFL
Title: Denoising re-visited...once again

Michal Irani, Weizmann Institute of Science
Title: Deep Internal Learning

Gordon Wetzstein, Stanford
Title: Computational Imaging at Stanford

Orly Liba, Google
Title: Computational Photography in Very Low Light

Ulugbek Kamilov, Washington University in St. Louis
Title: Regularization by Artifact Removal (RARE): Image Reconstruction using Deep Priors Learned without Groundtruth

Mark Sheinin, Carnegie Mellon University (CMU)
Title: The Yin and Yang of Structured Light in Computer Vision

Atul Ingle, University of Wisconsin-Madison
Title: Computational Imaging with Single Photon Cameras

Shumian Xin, Carnegie Mellon University (CMU)
Title: A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction
Schedule
| Time | Speakers |
| Introduction (8:45 - 9:00) | |
| First Block (9:00 - 10:30) | Michal Irani: Deep Internal Learning |
| Mark Sheinin: The Yin and Yang of Structured Light in Computer Vision | |
| Ulugbek Kamilov: Regularization by Artifact Removal (RARE): Image Reconstruction using Deep Priors Learned without Groundtruth | |
| Break (10:30 - 10:45) | |
| Second Block (10:45 - 12:00) | Sabine Susstrunk: Denoising re-visited...once again |
| Spotlights | |
| Lunch (12:00) | |
| Third Block (1:00 - 2:45) | Gordon Wetzstein: Computational Imaging at Stanford |
| Atul Ingle: Computational Imaging with Single Photon Cameras | |
| Spotlights | |
| Break (2:45 - 3:00) | |
| Fourth Block (3:00 - 4:30) | Orly Liba: Computational Photography in Very Low Light |
| Shumian Xin: A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction | |
| Alyosha Efros: Using Machine Learning to Detect Image Manipulation | |
| Final Remarks (4:30 - 4:45) |
Spotlights
| Title | Authors |
| A Monte Carlo framework for rendering speckle statistics in scattering media | Chen Bar, Marina Alterman, Ioannis Gkioulekas, Anat Levin |
| Compressive video with lensless cameras | Nick Antipa, Patrick Oare, Emrah Bostan, Ren Ng, Laura Waller |
| Cosense: Learning a probabilistic strategy for computational imaging sensor selection | He Sun, Adrian V. Dalca, Katherine L. Bouman |
| DehazeGlasses: Optical dehazing with an occlusion-capable see-through display | Yuichi Hiroi, Takumi Kaminokado, Atsushi Mori, Yuta Itoh |
| Flatnet: Towards photorealistic scene reconstruction from lensless measurements | Salman S. Khan, Varun Sundar, Vivek Boominathan, Ashok Veeraraghavan, Kaushik Mitra |
| HeartCam: Camera-based physiology monitoring in the wild | Ewa M. Nowara, Tim K. Marks, Hassan Mansour, Amruta Pai, Genki Nagamatsu, Hiroshi Kawasaki, Ashok Veeraraghavan |
| Interferometric transmission probing with coded mutual intensity | Alankar Kotwal, Anat Levin, Ioannis Gkioulekas |
| Keyhole Imaging: Non-line-of-sight imaging and tracking of moving objects along a single optical path | Christopher A. Metzler, David B. Lindell, Gordon Wetzstein |
| Memory-efficient learning for large-scale computational imaging systems | Michael Kellman, Eric Markley, Kevin Zhang, Jon Tamir, Emrah Bostan, Michael Lustig, Laura Waller |
| Modeling defocus disparity in dual pixel sensors | Abhijith Punnappurath, Abdullah Abuolaim, Mahmoud Afifi, Michael S. Brown |
| MonSter: Awakening the mono in stereo | Yotam Gil, Shay Elmalem, Harel Haim, Emanuel Marom, Raja Giryes |
| Optical backpropagation training method and its applications | Tiankuang Zhou, Lu Fang, Tao Yan, Jiamin Wu, Yipeng Li, Jingtao Fan, Huaqiang Wu, Xing Lin, Qionghai Dai |
| Optical Deep Residual Learning | Hongkun Dou, Yue Deng, Tao Yan, Huaqiang Wu, Xing Lin, Qionghai Dai |
| Patch scanning displays: spatiotemporal enhancement for displays | Kaan Aksit |
| Photosequencing of motion blur using short and long exposures | Vijay Rengarajan, Shuo Zhao, Ruiwen Zhen, John Glotzbach, Hamid Sheikh, Aswin C. Sankaranarayanan |
| Sea-thru: A method for removing water from underwater images | Derya Akkayanak, Tali Treibitz |
| Spatiotemporal Coded Imaging for Motion Deblurring | Shay Elmalem, Raja Giryes, Emanuel Marom |
| Spectral DiffuserCam: Lensless snapshot hyperspectral imaging with a spectral filter array | Kristina Monokhova, Kyrollos Yanny, Neerja Aggarwal, Laura Waller |
| SweepCam—depth-aware lensless imaging using programmable masks | Yi Hua, Shigeki Nakamura, M. Salman Asif, Aswin C. Sankaranarayanan |
| Towards learning-based inverse subsurface scattering | Chengqian Che, Fujun Luan, Shuang Zhao, Kavita Bala, Ioannis Gkioulekas |
| Towards occlusion-aware multifocal displays | Jen-Hao Rick Chang, Anat Levin, B.V.K Vijaya Kumar, Aswin C. Sankaranarayanan |
| Towards reflectometery from interreflections | Kfir Shem-Tov, Sai Praveen Bangaru, Anat Levin, Ioannis Gkioulekas |
| Towards unaligned guided thermal super-resolution | Honey Gupta, Kaushik Mitra |
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Participate
Spotlight Submissions
CCD spotlights will give an opportunity to showcase previously published or yet-to-be published work to a larger community at CVPR. Due to the likely virtual format of this year's CVPR conference, accepted abstract submissions will be presented as a spotlight presentation during the main workshop. This year selected spotlights will be selected through abstract submissions.
*Note: Submitted abstracts do not appear in any proceedings.
Submissions should include 1-2 paragraphs (at most 1 page) describing the proposed poster/demo, relevant figures, as well as author names and affiliations. Please send submissions by email directly to: ccd.workshop.2020@gmail.com.
Important Dates
- Spotlight submission deadline: May 29, 2020
- Spotlight decision: June 5, 2020
- Workshop date: June 19th, 2020
Venue
The CCD workshop is part of the CVPR 2020 workshops. Please see the CVPR webpage for information.