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

Instructions & Registration

The workshop will be broadcast live over Zoom starting at 8:45 AM Pacific June 19 with live presentations and Q&A during the times listed in the program below. After registering for the workshop at this link you will be able to join the Zoom meeting. Pre-recorded videos can be viewed and questions can be posted asynchronously on the CVPR internal website, but we highly encourage attendance during the live session.


Workshop chairs

Katherine L. (Katie) Bouman, California Institute of Technology
Achuta 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

Gordon Wetzstein, Stanford

Title: Computational Imaging at Stanford

Orly Liba

Orly Liba, Google

Title: Computational Photography in Very Low Light

Ulugbek Kamilov

Ulugbek Kamilov, Washington University in St. Louis

Title: Regularization by Artifact Removal (RARE): Image Reconstruction using Deep Priors Learned without Groundtruth

Mark Sheinin

Mark Sheinin, Carnegie Mellon University (CMU)

Title: The Yin and Yang of Structured Light in Computer Vision

Atul Ingle

Atul Ingle, University of Wisconsin-Madison

Title: Computational Imaging with Single Photon Cameras

Shumian Xin

Shumian Xin, Carnegie Mellon University (CMU)

Title: A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction


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
Lunch (12:00) 
Third Block (1:00 - 2:45)Gordon Wetzstein: Computational Imaging at Stanford
 Atul Ingle: Computational Imaging with Single Photon Cameras
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) 


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


Algolux     Google           Adobe


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:

Important Dates

  • Spotlight submission deadline: May 29, 2020
  • Spotlight decision: June 5, 2020
  • Workshop date: June 19th, 2020



The CCD workshop is part of the CVPR 2020 workshops. Please see the CVPR webpage for information.