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State-of-the-art image classifiers are trained and tested using well-illuminated images.
“Gigapixel digital film Sensor (DFS) proposal,”
Eric R. Fossum, · 2005
Earlier work this paper cites.
“Some thoughts on future digital still cameras,”
Eric R. Fossum, · 2006
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“Novel dataset for fine-grained image categorization: Stanford dogs,”
Aditya Khosla, Nityananda Jayadevaprakash, Bangpeng Yao, and Fei-Fei Li, · 2006
Earlier work this paper cites.
“Adaptive enhancement and noise reduction in very low light-level video,”
Henrik Malm, Magnus Oskarsson, Eric Warrant, Petrik Clarberg, Jon Hasselgren, and Calle Lejdfors, · 2007
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“Imagenet: A large-scale hierarchical image database,”
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei, · 2009
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“An optimal algorithm for reconstructing images from binary measurements,”
Feng Yang, Yue M. Lu, Luciano Sbaiz, and Martin Vetterli, · 2010
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“Optimal inversion of the Anscombe transformation in low-count Poisson image denoising,”
Markku Makitalo and Alessandro Foi, · 2010
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“A high-quality video denoising algorithm based on reliable motion estimation,”
Ce Liu and William Freeman, · 2010
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“Seeing Mt. Rainier: Lucky imaging for multi-image denoising, sharpening, and haze removal,”
Neel Joshi and Michael Cohen, · 2010
Earlier work this paper cites.
“Bits from photons: Oversampled image acquisition using binary poisson statistics,”
Feng Yang, Yue M Lu, Luciano Sbaiz, and Martin Vetterli, · 2011
Earlier work this paper cites.
“Read noise distribution modeling for CMOS Image Sensors,”
Boyd Fowler, Dan McGrath, and Peter Bartkovjak, · 2013
Earlier work this paper cites.
“Modeling the performance of single-bit and multi-bit quanta image sensors,”
Eric R Fossum, · 2013
Earlier work this paper cites.
“Efficient image reconstruction for gigapixel Quantum Image Sensors,”
Stanley H. Chan and Yue M. Lu, · 2014
Earlier work this paper cites.
“Deblurring low-light images with light streaks,”
Zhe Hu, Sunghyun Cho, Jue Wang, and Ming-Hsuan Yang, · 2014
Earlier work this paper cites.
“Fast burst images denoising,”
Ziwei Liu, Lu Yuan, Xiaoou Tang, Matt Uyttendaele, and Jian Sun, · 2014
Earlier work this paper cites.
“Do deep nets really need to be deep?,”
Jimmy Ba and Rich Caruana, · 2014
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“Deep inside convolutional networks: Visualising image classification models and saliency maps,”
Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman, · 2014
Earlier work this paper cites.
“A pump-gate jot device with high conversion gain for a quanta image sensor,”
Jiaju Ma and Eric Fossum, · 2015
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“Single-photon sensitive light-in-fight imaging,”
Genevieve Gariepy, Nikola Krstajić, Robert Henderson, Chunyong Li, Robert R Thomson, Gerald S Buller, Barmak Heshmat, Ramesh Raskar, Jonathan Leach, and Daniele Faccio, · 2015
Earlier work this paper cites.
“Distilling the knowledge in a neural network,”
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean, · 2015
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“Texture synthesis using convolutional neural networks,”
Leon A Gatys, Alexander S Ecker, and Matthias Bethge, · 2015
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“A neural algorithm of artistic style,”
LA Gatys, AS Ecker, and M Bethge, · 2015
Earlier work this paper cites.
“Understanding deep image representations by inverting them,”
Aravindh Mahendran and Andrea Vedaldi, · 2015
Earlier work this paper cites.
“Understanding neural networks through deep visualization,”
Jason Yosinski, Jeff Clune, Anh Nguyen, Thomas Fuchs, and Hod Lipson, · 2015
Cited alongside, same era.
“Images from bits: Non-iterative image reconstruction for Quanta Image Sensors,”
Stanley H. Chan, Omar A. Elgendy, and Xiran Wang, · 2016
Cited alongside, same era.
“The Quanta Image Sensor: Every photon counts,”
Eric R Fossum, Jiaju Ma, Saleh Masoodian, Leo Anzagira, and Rachel Zizza, · 2016
Cited alongside, same era.
“Plug-and-play ADMM for image restoration: Fixed-point convergence and applications,”
Stanley H. Chan, Xiran Wang, and Omar A. Elgendy, · 2016
Cited alongside, same era.
“LIME: Low-light image enhancement via illumination map estimation,”
Xiaojie Guo, Yu Li, and Haibin Ling, · 2016
Cited alongside, same era.
“Burst photography for high dynamic range and low-light imaging on mobile cameras,”
“Retinex-based perceptual contrast enhancement in images using luminance adaptation,”
Qingtao Fu, Cheolkon Jung, and Kaiqiang Xu, · 2018
Later among the works it cites.
“FFDNet: Toward a fast and flexible solution for CNN-based image denoising,”
Kai Zhang, Wangmeng Zuo, and Lei Zhang, · 2018
Later among the works it cites.
“Real-world noisy image denoising: A new benchmark,”
Jun Xu, Hui Li, Zhetong Liang, David Zhang, and Lei Zhang, · 2018
Later among the works it cites.
“Learning to see in the dark,”
Chen Chen, Qifeng Chen, Jia Xu, and Vladlen Koltun, · 2018
Later among the works it cites.
“Burst denoising with kernel prediction networks,”
Ben Mildenhall, Jonathan T Barron, Jiawen Chen, Dillon Sharlet, Ren Ng, and Robert Carroll, · 2018
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“Deep mutual learning,”
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Samuel W Hasinoff, Dillon Sharlet, Ryan Geiss, Andrew Adams, Jonathan T Barron, Florian Kainz, Jiawen Chen, and Marc Levoy, · 2016
Cited alongside, same era.
“Perceptual losses for real-time style transfer and super-resolution,”
Justin Johnson, Alexandre Alahi, and Li Fei-Fei, · 2016
Cited alongside, same era.
“Joint visual denoising and classification using deep learning,”
Gang Chen, Yawei Li, and Sargur N Srihari, · 2016
Cited alongside, same era.
“Photon-number-resolving megapixel image sensor at room temperature without avalanche gain,”
Jiaju Ma, Saleh Masoodian, Dakota Starkey, and Eric R Fossum, · 2017
Cited alongside, same era.
“Optimal threshold design for Quanta Image Sensor,”
Omar A. Elgendy and Stanley H. Chan, · 2017
Cited alongside, same era.
“Reconstructing transient images from single-photon sensors,”
Matthew O’Toole, Felix Heide, David B Lindell, Kai Zang, Steven Diamond, and Gordon Wetzstein, · 2017
Cited alongside, same era.
“Seeing into darkness: Scotopic visual recognition,”
Bo Chen and Pietro Perona, · 2017
Cited alongside, same era.
Ying Zhang, Tao Xiang, Timothy M Hospedales, and Huchuan Lu, · 2018
Later among the works it cites.
“Learned perceptual image enhancement,”
Hossein Talebi and Peyman Milanfar, · 2018
Later among the works it cites.
“A bit too much? High speed imaging from sparse photon counts,”
Paramanand Chandramouli, Samuel Burri, Claudio Bruschini, Edoardo Charbon, and Andreas Kolb, · 2019
Later among the works it cites.
“Megapixel photon-counting color imaging using Quanta Image Sensor,”
Abhiram Gnanasambandam, Omar Elgendy, Jiaju Ma, and Stanley H. Chan, · 2019
Later among the works it cites.
“Color Filter Arrays for Quanta Image Sensors,”
Omar A. Elgendy and Stanley H. Chan, · 2019
Later among the works it cites.
“High Dynamic Range imaging using Quanta Image Sensors,”
Abhiram Gnanasambandam, Jiaju Ma, and Stanley H. Chan, · 2019
Later among the works it cites.
“EMCCD-SPAD camera data fusion for high spatial resolution time-of-flight imaging.,”
Clara Callenberg, Ashley Lyons, Dennis den Brok, Robert Henderson, Matthias B Hullin, and Daniele Faccio, · 2019
Later among the works it cites.
“Asynchronous single-photon 3D imaging,”
Anant Gupta, Atul Ingle, and Mohit Gupta, · 2019
Later among the works it cites.
“FLIR Sensor Review: Mono Camera,” https://www.flir.com/globalassets/iis/guidebooks/2019-machine-vision-emva1288-sensor-review.pdf
2019
Later among the works it cites.
“Distortion robust image classification using deep convolutional neural network with discrete cosine transform,”
Md Tahmid Hossain, Shyh Wei Teng, Dengsheng Zhang, Suryani Lim, and Guojun Lu, · 2019
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“Transferable recognition-aware image processing,”
Zhuang Liu, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, and Trevor Darrell, · 2019
Later among the works it cites.
“Seeing motion in the dark,”
Chen Chen, Qifeng Chen, Minh N Do, and Vladlen Koltun, · 2019
Later among the works it cites.
“A non-local CNN for video denoising,”
Axel Davy, Thibaud Ehret, Jean-Michel Morel, Pablo Arias, and Gabriele Facciolo, · 2019
Later among the works it cites.
“Iterative residual CNNs for burst photography applications,”
Filippos Kokkinos and Stamatis Lefkimmiatis, · 2019
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“Training deep neural networks in generations: A more tolerant teacher educates better students,”
Chenglin Yang, Lingxi Xie, Siyuan Qiao, and Alan Yuille, · 2019
Later among the works it cites.
“Robust student network learning,”
Tianyu Guo, Chang Xu, Shiyi He, Boxin Shi, Chao Xu, and Dacheng Tao, · 2019
Later among the works it cites.
“Quanta burst photography,”
Sizhuo Ma, Shantanu Gupta, Arin C. Ulku, Claudio Brushini, Edoardo Charbon, and Mohit Gupta, · 2020
Closest in time.
“Connecting image denoising and high-level vision tasks via deep learning,”
Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, and Thomas S Huang, · 2020
Closest in time.