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 posters and demo submissions on all topics relating to projector-camera systems.
Previous CCD Workshops:
CCD2021, CCD2020, CCD2019, CCD2018, CCD2017, CCD2016, CCD2015, CCD2014, CCD2013, CCD2012
Workshop Chairs
Emma Alexander, Northwestern
Tali Dekel, Weizmann Institute and Google
Ulugbek Kamilov, WashU
He Sun, Peking University
Location
We are in room 211 of the conference center, next to the escalator. The remote talks can be found on the virtual CVPR site. Posters will be on boards 1a-21a outside of Hall D.
Schedule
Time (CDT) | Title | Speaker |
8:45 – 9:00 | Welcome / Opening Remarks | Organizers |
9:00 – 9:40 | Keynote (remote): Quantization and Dither in Single-Photon Lidar | Vivek Goyal |
9:40 – 10:20 | Keynote (remote): Data-Driven Image Priors for Inverse Imaging Problems | Carola-Bibiane Schönlieb |
10:20 – 10:40 | Morning Break | |
10:40 – 11:20 | Keynote (remote): Denoising as a Building Block for Imaging, Inverse Problems, and Machine Learning | Peyman Milanfar |
11:20 – 11:40 | Invited Talk (remote): Physics-informed machine learning for lensless computational cameras | Kristina Monakhova |
11:40 – 12:00 | Invited Talk: Neural Fields for Intensity-Only Optical Tomographic Imaging | Yu Sun |
12:00 – 1:00 | Lunch Break | |
1:00 – 1:40 | Keynote: Precise and Accurate Image-Based Measurements of Material Properties | Sabine Süsstrunk |
1:40 – 2:00 | Invited Talk: The Role of Neural Networks in Radiance Fields | Angjoo Kanazawa |
2:00 – 2:20 | Invited Talk: Non-line-of-sight imaging with an ordinary camera | John Murray-Bruce |
2:20 – 2:40 | Invited Talk: Neural Nanophotonic Cameras | Felix Heide |
2:40 – 3:00 | Afternoon Break | |
3:00 – 4:30 | Poster and Demo Session | |
4:30 – 5:10 | Keynote: Computer Vision, One Photon at a Time | Mohit Gupta |
5:10 – 5:30 | Closing Remarks | Organizers |
Invited Speakers
Angjoo Kanazawa, University of California, Berkeley
Felix Heide, Princeton University
John Murray-Bruce, University of South Florida
Kristina Monakhova, University of California, Berkeley
Yu Sun, Washington University in St. Louis
Posters
Posters are located on boards 1a-21a outside of Hall D.
Title | Authors | |
1 | Kaleidoscopic Structured Light |
Byeongjoo Ahn, Ioannis Gkioulekas, Aswin C. Sankaranarayanan
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2 | Optimized Virtual Optical Waveguides Enhance Light Throughput in Scattering Media |
Adithya Pediredla, Matteo Giuseppe Scopelliti, Srinivasa Narasimhan, Maysam chamanzar, Ioannis Gkioulekas
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3 | Adjoint Nonlinear Ray Tracing |
Arjun Teh, Matthew O’Toole, Ioannis Gkioulekas
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4 | Adaptive Gating for Single-Photon 3D Imaging |
Ryan Po, Adithya Pediredla, Ioannis Gkioulekas
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5 | Light Field Event Camera | Yu Meng |
6 | ESL: Event-based Structured Light |
Manasi Muglikar, Guillermo Gallego, Davide Scaramuzza
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7 | Single-Photon Structured Light |
Varun Sundar, Sizhuo Ma, Aswin C. Sankaranarayanan, Mohit Gupta
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8 | BACON: Band-limited Coordinate Networks for Multiscale Scene Representation |
David B. Lindell, Dave Van Veen, Jeong Joon Park, Gordon Wetzstein
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9 | TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis |
Benjamin Attal, Eliot Laidlaw, Aaron Gokaslan, Changil Kim, Christian Richardt, James Tompkin, Matthew O’Toole
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10 | Dual-Shutter Optical Vibration Sensing |
Mark Sheinin, Dorian Chan, Matthew O’Toole, and Srinivasa Narasimhan
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11 | Region-of-Interest Adaptive Acquisition for Accelerated MRI |
Zihui Wu, Tianwei Yin, Adrian V. Dalca, Katherine L. Bouman
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12 | PANDORA: Polarization-Aided Neural Decomposition Of Radiance |
Akshat Dave, Yongyi Zhao and Ashok Veeraraghavan
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14 | Lensfree Z-Stacking: A Theory of Volumetric Convolution for Lensless Cameras |
Yi Hua, M. Salman Asif, Aswin C. Sankaranarayanan
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15 | Learning Neural Light Fields with Ray-Space Embedding Networks |
Benjamin Attal, Jia-Bin Huang, Michael Zollhoefer, Johannes Kopf, Changier Kim
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16 | Holocurtains: Programming Light Curtains via Binary Holography |
Dorian Chan, Srinivasa G. Narasimhan, and Matthew O’Toole
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17 | Leveraging Common Structure for Prior-Free Image Reconstruction |
Oscar Leong, Angela F. Gao, He Sun, Katherine L. Bouman
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18 | Compressive Single-Photon 3D Cameras |
Felipe Gutierrez-Barragan, Atul Ingle, Trevor Seets, Mohit Gupta, Andreas Velten
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19 | Learning Phase Mask for Privacy-Preserving Passive Depth Estimation |
Zaid Tasneem, Giovanni Milione, Yi-Hsuan Tsai, Xiang Yu, Ashok Veeraraghavan, Manmohan Chandraker, Francesco Pittaluga
|
20 | Multi-Bracket High Dynamic Range Imaging with Event Cameras |
Nico Messikommer, Stamatios Georgoulis, Daniel Gehrig, Stepan Tulyakov, Julius Erbach, Alfredo Bochicchio, Yuanyou Li, Davide Scaramuzza
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21 | Event- and Frame-based Video Frame Interpolation: Challenges and Opportunities |
Daniel Gehrig and Davide Scaramuzza
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