visionbib.bib

@TechReport{Papert66,
  author = 	 "Seymour Papert",
  title = 	 "The Summer Vision Project.",
  institution =  "Massachusetts Institute of Technology, Project Mac",
  type = "MIT AI Memo",
  number = "100",
  year = {1966}
}


@article{Cavanagh96,
    author = {Cavanagh, P.},
    journal = {Perception},
    pages = {1227--1232},
    title = {Vision is Getting Easier Every Day.},
    volume = {24},
    year = {1996}
}

@conference{Rowley1996,
author = {Henry Rowley and Shumeet Baluja and Takeo Kanade},
title = {Neural Network-Based Face Detection},
booktitle = cvpr,
year = {1996},
%month = {June},
pages = {203 - 208},
}

@INPROCEEDINGS{Leung1995,
  author={Leung, T.K. and Burl, M.C. and Perona, P.},
  booktitle=iccv, 
  title={Finding Faces in Cluttered Scenes Using Random Labeled Graph Matching.}, 
  year={1995},
  volume={},
  number={},
  pages={637-644}
  %doi={10.1109/ICCV.1995.466878}
}


@article{Felzenszwalb2010,
  author={Felzenszwalb, Pedro F. and Girshick, Ross B. and McAllester, David and Ramanan, Deva},
  journal=pami, 
  title={Object Detection with Discriminatively Trained Part-Based Models.}, 
  year={2010},
  volume={32},
  number={9},
  pages={1627-1645}
  %doi={10.1109/TPAMI.2009.167}
}

@ARTICLE{Fischler1973,
  author={M. A. Fischler and R. A. Elschlager},
  journal={IEEE Transactions on Computers}, 
  title={The Representation and Matching of Pictorial Structures.}, 
  year={1973},
  volume={C-22},
  number={1},
  pages={67-92}
  %doi={10.1109/T-C.1973.223602}
}


@book{Rosch2002aa,
	address = {Cambridge,  MA,  US},
	author = {Rosch, Eleanor},
	publisher = {MIT Press},
	series = {Foundations of cognitive psychology:  Core readings.},
	title = {Principles of categorization.},
	year = {2002}
}


@book{Rosch1978,
	author = {Eleanor Rosch},
	title = {Principles of categorization.},
	booktitle = {Cognitive Linguistics Bibliography (CogBib)},
	year = {1978},
    pages = {27--48},
	%editor = {Eleanor Rosch and Barbara B. Lloyd},
	%keywords = {cognitive psychology, categorization, principles of categorization, natural category, prototype},
	%lastchecked = {2023-10-05},
	%note = {2010},
	publisher = {De Gruyter Mouton},
	%url = {https://www.degruyter.com/database/COGBIB/entry/cogbib.10284/html},
	bdsk-url-1 = {https://www.degruyter.com/database/COGBIB/entry/cogbib.10284/html}
}

@article{Rosch1976BasicOI,
  title={Basic Objects in Natural Categories.},
  author={Eleanor Rosch and Carolyn B. Mervis and Wayne D. Gray and D M Johnson and Penny Boyes-Braem},
  journal={Cognitive Psychology},
  year={1976},
  volume={8},
  pages={382-439},
  %url={https://api.semanticscholar.org/CorpusID:5612467}
}


@inproceedings{malisiewicz-nips09,
	author = {Tomasz Malisiewicz and Alexei A. Efros},
	booktitle = nips,
	%month = {December},
	title = {Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships.},
	year = 2009}


@incollection{Adelson91shading,
	AUTHOR = "E. H. Adelson and A. P. Pentland",
	BOOKTITLE = "Channels in the Visual Nervous System: Neurophysiology, Psychophysics, and Models",
	TITLE = "The Perception of Shading and Reflectance.",
	PAGES = "195--207",
	EDITOR = "B Blum",
	PUBLISHER = "Freund Publishing",
	ADDRESS = "London",
	YEAR = 1991
	}

@incollection{Adelson91,
  address = {Cambridge, MA},
  author = {Edward H. Adelson and James R. Bergen},
  booktitle = {Computational Models of Visual Processing.},
  editor = {Michael S. Landy and Anthony J. Movshon},
  pages = {3--20},
  publisher = {MIT Press},
  title = {The Plenoptic Function and the Elements of Early Vision},
  year = {1991},
}

%% @incollection{Adelson99,
%%     author = {Edward H. Adelson},
%%     title = {Lightness Perception and Lightness Illusion},
%%   booktitle = {The New Cognitive Neurosciences},
%%    editor = {M. Gazzaniga},
%%  pages = {339-351},
%%     year = {2000}
%% }

@book{Roberts63,
  author    = {Lawrence G. Roberts},
  title     = {Machine Perception of Three-Dimensional Solids.},
  publisher = {Garland Publishing},
location = {New York},
  series    = {Outstanding Dissertations in the Computer Sciences},
  year      = {1963}
}


@ARTICLE{Matusik03,
author={W. Matusik and H. Pfister and M. Brand and L. McMillan},
journal=tog,
title={A Data-Driven Reflectance Model.},
volume={22},
number={3},
pages={759-769},
}

@ARTICLE{Delbruck93,
author={Delbruck, T.},
journal=itnn,
title={Silicon Retina with Correlation-Based, velocity-tuned pixels.},
year={1993},
%month={May},
volume={4},
number={3},
pages={529-541},
%doi={10.1109/72.217194},
%ISSN={1045-9227},
}

@inproceedings{Beaudot93,
 author = {Beaudot, William and Palagi, Patricia and H{\'e}rault, Jeanny},
 title = {Realistic Simulation Tool for Early Visual Processing Including Space, Time and Colour Data.},
 booktitle = {Proceedings of the International Workshop on Artificial Neural Networks: New Trends in Neural Computation},
 series = {IWANN '93},
 year = {1993},
 %isbn = {3-540-56798-4},
 pages = {370--375},
 %numpages = {6},
 %publisher = {Springer-Verlag},
 address = {London, UK, UK},
} 

 @book{Mead89,
 author = {Mead, Carver},
 title = {Analog VLSI and Neural Systems.},
 year = {1989},
 publisher = {Addison-Wesley Longman Publishing},
 address = {Boston},
} 

@Article{Mahowald91,
  author =       "Misha A. Mahowald and Carver Mead",
  title =        "The Silicon Retina.",
  journal =      "Scientific American",
  volume =       "264",
  number =       "5",
  pages =        "76--82",
  %month =        may,
  year =         "1991",
}

@book{Dowling87,
 author = {John E. Dowling},
 title = {The Retina: An Approachable Part of the Brain.},
 year = {1987},
 publisher = {Belknap Press},
} 

@article{Reichardt87,
year={1987},
issn={0340-7594},
journal={Journal of Comparative Physiology A},
volume={161},
number={4},
%doi={10.1007/BF00603660},
title={Evaluation of optical motion information by movement detectors.},
%url={http://dx.doi.org/10.1007/BF00603660},
publisher={Springer-Verlag},
author={Reichardt, Werner},
pages={533-547},
%language={English}
}

@inproceedings{sitzmann2019siren,
                author = {Sitzmann, Vincent
                          and Martel, Julien N.P.
                          and Bergman, Alexander W.
                          and Lindell, David B.
                          and Wetzstein, Gordon},
                title = {Implicit Neural Representations
                          with Periodic Activation Functions.},
                booktitle = nips,
                year={2020}
}

@inproceedings{Jaderberg2015,
  author = {Jaderberg, Max and Simonyan, Karen and Zisserman, Andrew and kavukcuoglu, koray},
  booktitle = nips,
  %description = {Paper presenting the spatial transformer network (topic of the work)},
  %editor = {Cortes, C. and Lawrence, N. D. and Lee, D. D. and Sugiyama, M. and Garnett, R.},
  %interhash = {cfb8585a782eedbeb37fb0dc46e36ab5},
  %intrahash = {14d7850ca8e1d4823e7f44c8b3beeac3},
  %keywords = {thema:spatialtransformernetworks},
  pages = {2017--2025},
  %publisher = {Curran Associates, Inc.},
  %timestamp = {2020-06-08T17:13:51.000+0200},
  title = {Spatial Transformer Networks.},
  %url = {http://papers.nips.cc/paper/5854-spatial-transformer-networks.pdf},
  year = 2015
}


@inproceedings{Darrell93gestures,
author = "T. J. Darrell and A. P. Pentland",
title = "Space-Time Gestures.",
booktitle = cvpr,
pages = "335--340",
year = 1993}


@inproceedings{Darrell93,
    author = {Trevor Darrell and Eero Simoncelli},
    title = {On the use of 'Nulling' Filters to Separate Transparent Motions.},
    booktitle = cvpr,
    year = {1993},
    %publisher = {IEEE Computer Society Press}
}

@inproceedings{Mundy2006,
author = {Mundy, Joseph},
year = {2006},
pages = {3-28},
title = {Object Recognition in the Geometric Era: A Retrospective.},
volume = {4170},
journal = {Toward Category Level Object Recognition},
%doi = {10.1007/11957959_1},
%month = {01}
}

@book{Szeliski2011,
 author = {Richard Szeliski},
 title = {Computer Vision Algorithms and Applications.},
 year = {2022},
 edition = {2},
 publisher = {Springer},
} 

@book{Bishop2006,
 author = {C. M. Bishop},
 title = {Pattern Recognition and Machine Learning.},
 year = {2006},
 publisher = {Springer-Verlag}
} 

@book{KoenderinkSolidShape1990,
author = {J. J. Koenderink},
title = {Solid Shape.},
year = {1990},
publisher = {MIT Press},
address = {Cambridge, MA}
}

 @book{murphy2022,
 author = "Kevin P. Murphy",
 title = "Probabilistic Machine Learning: An introduction.",
 publisher = "MIT Press",
 address = {Cambridge, MA},
 year = 2022,
 %url = "probml.ai"
}

@book{Goodfellow-et-al-2016,
    title={Deep Learning.},
    author={Ian Goodfellow and Yoshua Bengio and Aaron Courville},
    publisher={MIT Press},
    address = {Cambridge, MA},
    %note={\url{http://www.deeplearningbook.org}},
    year={2016}
}

 @book{Ullman2000,
 author = "Shimon Ullman",
 title = "High-level Vision.",
 publisher = "MIT Press",
 address = {Cambridge, MA},
 year = 2000
}

 @book{Minnaert2012,
 author = "Marcel Minnaert",
 title = "Light and Color in the Outdoors.",
 publisher = "Springer",
 address = {New York},
 year = 2012
}

@BOOK{princeCVMLI2012,
author = {Prince, S.J.D.},
title= {Computer Vision: Models Learning and Inference.},
publisher = {{Cambridge University Press}},
year = 2012}


@book{Bracewell78,
author = "R. N. Bracewell",
title = "The Fourier Transform and its Applications.",
publisher = "McGraw-Hill",
year = 1978}

@misc{birds,
note = "http://www.birdfellow.com/birds/snow-goose-chen-caerulescens/photos/community",
url = "http://s3.amazonaws.com/birdfellow-production/content/photos/000/008/959/identification/021513.jpg?1361668048",
year = 2014}

@article{Phong1975,
author = {Phong, Bui Tuong},
title = {Illumination for Computer Generated Pictures.},
year = {1975},
issue_date = {June 1975},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {18},
number = {6},
%issn = {0001-0782},
%url = {https://doi.org/10.1145/360825.360839},
%doi = {10.1145/360825.360839},
%abstract = {The quality of computer generated images of three-dimensional scenes depends on the shading technique used to paint the objects on the cathode-ray tube screen. The shading algorithm itself depends in part on the method for modeling the object, which also determines the hidden surface algorithm. The various methods of object modeling, shading, and hidden surface removal are thus strongly interconnected. Several shading techniques corresponding to different methods of object modeling and the related hidden surface algorithms are presented here. Human visual perception and the fundamental laws of optics are considered in the development of a shading rule that provides better quality and increased realism in generated images.},
journal = {Commun. ACM},
%month = {jun},
pages = {311–317},
numpages = {7},
%keywords = {hidden surface removal, graphic display, shading, computer graphics}
}


@article{Kac_1966, 
title={Can One Hear the Shape of a Drum?}, 
%DOI={10.2307/2313748}, 
journal={American Mathematical Monthly},
author={Kac, Mark}, 
year={1966}, 
%month={Apr} 
}

@inproceedings{ng2002,
  author = {Ng, Andrew Y. and Jordan, Michael I. and Weiss, Yair},
  title = "On Spectral Clustering: Analysis and an Algorithm.",
  booktitle = nips,
  pages = {849--856},
  year = 2001
}



@article{Freeman91,
author = "W. T. Freeman and E. H. Adelson",
title = "The Design and Use of Steerable Filters.",
journal = pami,
%month = "September",
volume = 13,
pages = "891--906",
number = 9,
year = 1991}
                  
@misc{spectrometer,
note = "Video Demonstration by Paul Doherty.",
author = "Paul Doherty",
url = "https://www.exploratorium.edu/snacks/cd-spectroscope",
year = 2023}

@misc{blue,
url = "http://www.nature.com/news/2007/070430/full/news070430-2.html",
year = 2010}


@article{Kaufman1949,
	author = {Kaufman, E L and Lord, M W},
	journal = {The American Journal of Psychology},
	jt = {The American Journal of Psychology},
	number = {4},
	pages = {498--525},
	pl = {United States},
	pt = {Journal Article},
	title = {The Discrimination of Visual Number.},
	volume = {62},
	year = {1949}}


@misc{Wandell95foundationsweb,
author = "B. A. Wandell",
url = "https://foundationsofvision.stanford.edu/part-3-image-interpretation/",
year = 2021}

@book{Wandell95,
 author = {Wandell, Brian},
 title = {Foundations of Vision.},
 year = {1995},
 publisher = {Sinauer Assoc.}
} 


@ARTICLE{Shannon1948,
  author={Shannon, C. E.},
  journal={The Bell System Technical Journal}, 
  title={A Mathematical Theory of Communication.}, 
  year={1948},
  volume={27},
  number={3},
  pages={379-423}
}

@article{Gabor1946TheoryOC,
  title={Theory of Communication.},
  author={Dennis Gabor},
  journal={Journal of the Institution of Electrical Engineers - Part I: General},
  year={1946},
  volume={94},
  pages={58-58}
}


@article{GRANLUND1978155,
	author = {Goesta H. Granlund},
	journal = {Computer Graphics and Image Processing},
	number = {2},
	pages = {155-173},
	title = {In Search of a General Picture Processing Operator.},
	volume = {8},
	year = {1978}
}


@article{Necker1832,
author = "Necker, L.A.",
title = "Observations on Some Remarkable Optical Phaenomena seen in Switzerland; and on an Optical Phaenomenon which Occurs on Viewing a Figure of a Crystal or Geometrical Solid.",
journal = "London and Edinburgh Philosophical Magazine and Journal of Science",
volume = 5,
pages = "329--337",
number = 1,
year = 2005}




@article{Hofer2005,
author = "H. Hofer and J. Carroll and J. Neitz and M. Neitz and D. R. Williams",
title = "Organization of the Human Trichromatic Cone Mosaic.",
journal = "The Journal of Neuroscience",
volume = 25,
pages = "9669--9679",
number = 42,
year = 2005}	

@inproceedings{Yedidia00b,
author = "J. S. Yedidia and W. T. Freeman and Y. Weiss",
title = "Generalized Belief Propagation.",
booktitle = nips,
volume = 13,
pages = "689--695",
year = 2001}

@book{Koller2009,
editor = "D. Koller and N. Friedman",
title = "Probabilistic Graphical Models.",
publisher = "MIT Press",
address = {Cambridge MA},
year = 2009}

@book{Jordan98,
editor = "M. I. Jordan",
title = "Learning in Graphical Models.",
publisher = "MIT Press",
address = {Cambridge MA},
year = 1998}

@inproceedings{Bouman17,
    author = {Katherine L. Bouman and       Vickie Ye and      Adam B. Yedidia and      Fredo Durand and 
     Gregory W. Wornell and       Antonio Torralba  and     William T. Freeman},
    title = {Turning Corners into Cameras:  Principles and Methods.},
    booktitle = iccv,
    year = {2018}
}

@article{hays2007scene,
  title={Scene Completion Using Millions of Photographs.},
  author={Hays, James and Efros, Alexei A},
  journal=tog,
  volume={26},
  number={3},
  pages={4},
  year={2007},
  publisher={ACM}
}


@misc{belkin2018reconciling,
  title={Reconciling Modern Machine Learning and the Bias-Variance Trade-Off.},
  author={Belkin, Mikhail and Hsu, Daniel and Ma, Siyuan and Mandal, Soumik},
    eprint={1812.11118},
    archivePrefix={arXiv},
  year={2018}
}

@article{tsne,
  title={Visualizing Data Using t-SNE.},
  author={Maaten, Laurens van der and Hinton, Geoffrey},
  journal={Journal of Machine Learning Research},
  volume={9},
  number={Nov},
  pages={2579--2605},
  year={2008}
}

@inproceedings{decaf,
  title={Decaf: A Deep Convolutional Activation feature for Generic Visual Recognition.},
  author={Donahue, Jeff and Jia, Yangqing and Vinyals, Oriol and Hoffman, Judy and Zhang, Ning and Tzeng, Eric and Darrell, Trevor},
  booktitle=icml,
  pages={647--655},
  year={2014}
}

@misc{doersch2016tutorial,
    title={Tutorial on Variational Autoencoders.},
    author={Carl Doersch},
    year={2016},
    eprint={1606.05908},
    archivePrefix={arXiv},
    primaryClass={stat.ML}
}

@inproceedings{ioffe2015batch,
  title={Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.},
  author={Ioffe, Sergey and Szegedy, Christian},
  booktitle=icml,
  pages={448--456},
  year={2015}
}

@Article{Cybenko1989,
author="Cybenko, G.",
title="Approximation by Superpositions of a Sigmoidal Function.",
journal="Mathematics of Control, Signals and Systems",
year="1989",
%month="Dec",
%day="01",
volume="2",
number="4",
pages="303--314",
%abstract="In this paper we demonstrate that finite linear combinations of compositions of a fixed, univariate function and a set of affine functionals can uniformly approximate any continuous function ofn real variables with support in the unit hypercube; only mild conditions are imposed on the univariate function. Our results settle an open question about representability in the class of single hidden layer neural networks. In particular, we show that arbitrary decision regions can be arbitrarily well approximated by continuous feedforward neural networks with only a single internal, hidden layer and any continuous sigmoidal nonlinearity. The paper discusses approximation properties of other possible types of nonlinearities that might be implemented by artificial neural networks.",
%doi="10.1007/BF02551274"
}


@ARTICLE{Fara2015,
     TITLE= "Newton Shows the Light: a Commentary on Newton (1672) ‘A Letter … Containing his New Theory About Light and Colours…’",
     AUTHOR= "P. Fara",
     JOURNAL= "Philosophical Transactions of the Royal Society",
     YEAR= "2015"
} 

@misc{wang2020fully,
  title={Fully Test-Time Adaptation by Entropy Minimization.},
  author={Wang, Dequan and Shelhamer, Evan and Liu, Shaoteng and Olshausen, Bruno and Darrell, Trevor},
    eprint={2006.10726},
    archivePrefix={arXiv},
  year={2020}
}


% cite as zhang2016colorful, below
% article{Zhang_2016,


@book{lamott1980,
    title={Bird by Bird.},
    author={Lamott, Anne},
    publisher={Bantam Doubleday Dell Publishing Group},
    year={1980}
}

@inproceedings{szegedy2014intriguing,
  title={Intriguing Properties of Neural Networks.},
  author={Szegedy, Christian and Zaremba, Wojciech and Sutskever, Ilya and Bruna, Joan and Erhan, Dumitru and Goodfellow, Ian and Fergus, Rob},
  journal=iclr,
  year={2014}
}


@article{bourlard1988auto,
  title={Auto-Association by Multilayer Perceptrons and Singular Value Decomposition.},
  author={Bourlard, Herv{\'e} and Kamp, Yves},
  journal={Biological Cybernetics},
  volume={59},
  number={4},
  pages={291--294},
  year={1988},
  publisher={Springer}
}

@article {TraerE7856,
	author = {Traer, James and McDermott, Josh H.},
	title = {Statistics of Natural Reverberation Enable Perceptual Separation of Sound and Space.},
	volume = {113},
	number = {48},
	pages = {E7856--E7865},
	year = {2016},
	publisher = {National Academy of Sciences},
%note = {https://www.pnas.org/content/113/48/E7856},
	journal = {Proceedings of the National Academy of Sciences}
}

@article{elman1990finding,
  title={Finding Structure in Time.},
  author={Elman, Jeffrey L},
  journal={Cognitive science},
  volume={14},
  number={2},
  pages={179--211},
  year={1990},
  publisher={Wiley Online Library}
}

@article{hochreiter1997long,
  title={Long Short-Term Memory.},
  author={Hochreiter, Sepp and Schmidhuber, J{\"u}rgen},
  journal={Neural Computation},
  volume={9},
  number={8},
  pages={1735--1780},
  year={1997},
  publisher={MIT Press}
}

@inproceedings{vaswani2017attention,
  title={Attention Is All You Need.},
  author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, {\L}ukasz and Polosukhin, Illia},
  booktitle=nips,
  pages={5998--6008},
  year={2017}
}

@inproceedings{goodfellow2014generative,
  title={Generative Adversarial Nets.},
  author={Goodfellow, Ian and Pouget-Abadie, Jean and Mirza, Mehdi and Xu, Bing and Warde-Farley, David and Ozair, Sherjil and Courville, Aaron and Bengio, Yoshua},
  journal=nips,
  volume={27},
  year={2014}
}

@article{bengio2013representation,
  title={Representation Learning: A Review and New Perspectives.},
  author={Bengio, Yoshua and Courville, Aaron and Vincent, Pascal},
  journal=pami,
  volume={35},
  number={8},
  pages={1798--1828},
  year={2013},
  publisher={IEEE}
}

@techreport{rumelhart1985learning,
  title={Learning Internal Representations by Error Propagation.},
  author={Rumelhart, David E. and Hinton, Geoffrey E. and Williams, Ronald J.},
  year={1985},
  institution={California Univ San Diego Inst for Cognitive Science}
}

@inproceedings{ballard1987modular,
  title={Modular Learning in Neural Networks.},
  author={Ballard, Dana H},
  booktitle=aaai,
  volume={647},
  pages={279--284},
  year={1987}
}

@inproceedings{ronneberger2015u,
  title={U-Net: Convolutional Networks for Biomedical Image Segmentation.},
  author={Ronneberger, Olaf and Fischer, Philipp and Brox, Thomas},
  booktitle={International Conference on Medical Image Computing and computer-Assisted Intervention},
  pages={234--241},
  year={2015},
  organization={Springer}
}

@inproceedings{he2016deep, 
title={Deep Residual Learning for Image Recognition.}, 
author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian}, 
booktitle=cvpr, 
pages={770--778}, 
year={2016} 
}

@misc{srivastava2015highway,
  title={Highway Networks.},
  author={Srivastava, Rupesh Kumar and Greff, Klaus and Schmidhuber, J{\"u}rgen},
  eprint={1505.00387},
  archivePrefix={arXiv},
  year={2015}
}

@inproceedings{krizhevsky2012imagenet,
  title={Imagenet Classification with Deep Convolutional Neural Networks.},
  author={Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey E},
  journal=nips,
  volume={25},
  pages={1097--1105},
  year={2012}
}

@misc{liu2018intriguing,
  title={An Intriguing Failing of Convolutional Neural Networks and the Coordconv Solution.},
  author={Liu, Rosanne and Lehman, Joel and Molino, Piero and Such, Felipe Petroski and Frank, Eric and Sergeev, Alex and Yosinski, Jason},
  eprint={1807.03247},
  archivePrefix={arXiv},
  year={2018}
}

@inproceedings{mildenhall2020nerf,
  title={Nerf: Representing Scenes as Neural Radiance Fields for View Synthesis.},
  author={Mildenhall, Ben and Srinivasan, Pratul P and Tancik, Matthew and Barron, Jonathan T and Ramamoorthi, Ravi and Ng, Ren},
  booktitle=eccv,
  pages={405--421},
  year={2020},
  organization={Springer}
}



@techreport{yair98,
author = {Weiss, Yair and Adelson, Edward H.},
title = {Slow and Smooth: A Bayesian Theory for the Combination of Local Motion Signals in Human Vision.},
  institution = {MIT},
  year = {1998},
  note = {A.I. Memo No. 1624}
}




@inproceedings{CycleGAN2017, 
title={Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks.}, 
author={Zhu, Jun-Yan and Park, Taesung and Isola, Phillip and Efros, Alexei A}, 
booktitle=iccv, 
year={2017} 
}

@inproceedings{yi2017dualgan,
  title={Dualgan: Unsupervised Dual Learning for Image-to-Image Translation.},
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  %organization={PMLR}
}

@inproceedings{Karras2021,
  author = {Tero Karras and Miika Aittala and Samuli Laine and Erik H\"ark\"onen and Janne Hellsten and Jaakko Lehtinen and Timo Aila},
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@inproceedings{pix2pix2017, 
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author={Isola, Phillip and Zhu, Jun-Yan and Zhou, Tinghui and Efros, Alexei A.}, 
booktitle=cvpr, 
year={2017} }

@INPROCEEDINGS{Tinghui2017,
  author={Zhou, Tinghui and Brown, Matthew and Snavely, Noah and Lowe, David G.},
  booktitle=cvpr, 
  title={Unsupervised Learning of Depth and Ego-Motion from Video.}, 
  year={2017},
  volume={},
  number={},
  pages={6612-6619},
  %doi={10.1109/CVPR.2017.700}
  }

@inProceedings{MegaDepthLi18,
  title={MegaDepth: Learning Single-View Depth Prediction from Internet Photos.},
  author={Zhengqi Li and Noah Snavely},
  booktitle=cvpr,
  year={2018}
}

%@INPROCEEDINGS{8100183, 
%author={Zhou, Tinghui and Brown, Matthew and Snavely, Noah and Lowe, David G.}, 
%booktitle={2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, 
%title={Unsupervised Learning of Depth and Ego-Motion from Video.}, 
%year={2017}, 
%volume={}, 
%number={}, 
%pages={6612-6619}, 
%doi={10.1109/CVPR.2017.700}
%} 

@inproceedings{Snavely2006,
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    booktitle = siggraph,
    year = {2006},
    pages = {835--846},
}

@article{Mersereau79, 
author={R. M. Mersereau}, 
journal={Proceedings of the IEEE}, 
title={The Processing of Hexagonally Sampled Two-Dimensional Signals.}, 
year={1979}, 
volume={67}, 
number={6}, 
pages={930-949}, 
%month={June}
}

@inproceedings{SilbermanECCV12,
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@article{Geiger2013,
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  volume = 32,
  year = 2013
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@ARTICLE{Geiger2013IJRR,
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  year = {2013}
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@INPROCEEDINGS{Xian2018,
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  year={2018},
  volume={},
  number={},
  pages={311-320},
  %doi={10.1109/CVPR.2018.00040}
}


@INPROCEEDINGS{Simoncelli90subbandimage,
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@book{Fourier09,
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@article{Cooley1965,
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@article{Land1971,
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% @inproceedings{Barrow1978,
%   title={RECOVERING INTRINSIC SCENE  CHARACTERISTICS FROM IMAGES.},
%   author={Harry G. Barrow and Jay M. Tenenbaum},
%   year={1978}
% }


@inproceedings{gutmann2010noise,
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@article{hinton2002training,
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@inproceedings{donahue2014decafUSEdecafcitation,
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@inproceedings{chen2020generative,
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  year={2020},
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@inproceedings{komodakis2018unsupervised,
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@inproceedings{doersch2015unsupervised,
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  year={2015}
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@inproceedings{zhang2016colorful,
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@inproceedings{zhang2017split,
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  pages={1058--1067},
  year={2017}
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@inproceedings{larsson2016learning,
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  year={2016},
  organization={Springer}
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@inproceedings{vincent2008extracting,
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  year={2008}
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@inproceedings{pathak2016context,
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@article{huang2011predictive,
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@inproceedings{wang2020hypersphere,
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  booktitle=icml,
  %organization={PMLR},
  pages={9929--9939},
  year={2020}
}

@article{finn2016unsupervised,
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@article{recasens2021broaden,
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  author={Recasens, Adri{\`a} and Luc, Pauline and Alayrac, Jean-Baptiste and Wang, Luyu and Strub, Florian and Tallec, Corentin and Malinowski, Mateusz and Patraucean, Viorica and Altch{\'e}, Florent and Valko, Michal and others},
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@misc{oord2018representation,
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    archivePrefix={arXiv},
  year={2018}
}

@article{chechik2010large,
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  number={3},
  year={2010}
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@inproceedings{hadsell2006dimensionality,
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  author={Hadsell, Raia and Chopra, Sumit and LeCun, Yann},
  booktitle=cvpr,
  volume={2},
  pages={1735--1742},
  year={2006},
  %organization={IEEE}
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@article{dosovitskiy2020vit,
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  year={2021}
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@inproceedings{tian2020contrastive,
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@book{mcbook,
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@book{Gibson1966,
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@book{Gibson1979,
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@article{russakovsky2015imagenet, 
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journal=ijcv, 
volume={115}, number={3}, pages={211--252}, 
year={2015}, 
%publisher={Springer} 
}

@article{brock2018large,
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@article{wertheimer1912experimentelle,
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@article{steinman2000phi,
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@Book{Koffka1935,
author = { Koffka, Kurt },
title = { Principles of Gestalt Psychology.},
publisher = {London: Routledge},
year = { 1935 },
%type = { Book },
%subjects = { Gestalt psychology. },
%life-dates = { 1935 -  },
%catalogue-url = { https://nla.gov.au/nla.cat-vn636554 },
}

@book{Palmer1999,
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@article{Palmer94,
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@article{Palmer1981,
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@book{gilchrist2006,
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@INPROCEEDINGS{Zhang99,
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  title={Computing Rectifying Homographies for Stereo Vision.}, 
  year={1999},
  volume={1},
  number={},
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@inproceedings{Lance1983,
author = {Williams, Lance},
title = {Pyramidal Parametrics.},
year = {1983},
booktitle = siggraph,
%publisher = {Association for Computing Machinery},
%address = {New York, NY, USA},
pages = {1–11},
%numpages = {11},
%series = {SIGGRAPH '83}
}

  

  
  


@book{kanizsa79,
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@book{Shepard90mindsights,
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year = 1990}

@book{Shepard90,
	Address = {New York},
	Author = {Shepard, Roger N.},
	%Keywords = {Optical illusions},
	%Language = {eng},
	%Lccn = {90032451},
	Publisher = {W.H. Freeman and Co.},
	Title = {Mind Sights: Original Visual Illusions, Ambiguities, and Other Anomalies, with a Commentary on the Play of Mind in Perception and Art.},
	Year = {1990}}

@misc{adelson1995checkershadow,
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}

@article{zhou2014object,
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  year={2015}
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journal=scia,
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@article{Harmon_1973,
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	year = 1973,
	%month = {jun},
	publisher = {American Association for the Advancement of Science ({AAAS})},
	volume = {180},
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@article{Glickstein2006,
	Author = {Mitch Glickstein},
	%Doi = {https://doi.org/10.1016/j.cub.2006.02.053},
	Journal = {Current Biology},
	Number = {5},
	Pages = {R147-R151},
	Title = {Golgi and Cajal: The Neuron Doctrine and the 100th Anniversary of the 1906 Nobel Prize.},
	%Url = {https://www.sciencedirect.com/science/article/pii/S0960982206012036},
	Volume = {16},
	Year = {2006},
	%Bdsk-Url-1 = {https://www.sciencedirect.com/science/article/pii/S0960982206012036},
	%Bdsk-Url-2 = {https://doi.org/10.1016/j.cub.2006.02.053}
}

@article{cajal1893retine,
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@misc{olah_lstms,
  title={Understanding LSTM Networks.},
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  %url={http://colah.github.io/posts/2015-08-Understanding-LSTMs/},
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}



@article{Burton1945,
	Author = {Harry Edwin Burton},
	%Doi = {10.1364/JOSA.35.000357},
	Journal = {J. Opt. Soc. Am.},
	%Keywords = {Acoustic modulators; Augmented reality; Cone cells; Eyes; Laser therapies; Vision},
	%Month = {May},
	Number = {5},
	Pages = {357--372},
	Publisher = {Optica Publishing Group},
	Title = {The Optics of Euclid.},
	%Url = {http://opg.optica.org/abstract.cfm?URI=josa-35-5-357},
	Volume = {35},
	Year = {1945},
	%Bdsk-Url-1 = {http://opg.optica.org/abstract.cfm?URI=josa-35-5-357},
	%Bdsk-Url-2 = {https://doi.org/10.1364/JOSA.35.000357}
}





@book{Plato360bc,
	Author = {Plato},
	Booktitle = {Timeaus.},
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	Year = {360 BCE},
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@article{10.2307/225870,
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@book{kalderon2015form,
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@book{2001alhacen,
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  %lccn={2001041227},
  %url={https://books.google.com/books?id=j0InAQAAIAAJ},
  year={2001},
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}


@book{Aristotle350bc,
  title={On Sense and the Sensible.},
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@article{Martens2001-MAROPT-2,
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	journal = {Isis},
	year = {2001},
	number = {3},
	pages = {607--608},
	author = {Rhonda Martens}
}
%	doi = {10.1086/385313},


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@article{
Livingstone88,
author = {Margaret Livingstone  and David Hubel},
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journal = {Science},
volume = {240},
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pages = {740-749},
year = {1988},
%doi = {10.1126/science.3283936},
%URL = {https://www.science.org/doi/abs/10.1126/science.3283936},
%eprint = {https://www.science.org/doi/pdf/10.1126/science.3283936}
}

@inproceedings{Livingstone1984AnatomyAP,
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@article{HubelWiesel59,
author = {Hubel, D. H. and Wiesel, T. N.},
title = {Receptive Fields of Single Neurones in the Cat's Striate Cortex.},
journal = {The Journal of Physiology},
volume = {148},
number = {3},
pages = {574-591},
doi = {10.1113/jphysiol.1959.sp006308},
%url = {https://physoc.onlinelibrary.wiley.com/doi/abs/10.1113/jphysiol.1959.sp006308},
%eprint = {https://physoc.onlinelibrary.wiley.com/doi/pdf/10.1113/jphysiol.1959.sp006308},
year = {1959}
}

@article{Kanwisher1997TheFF,
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@book{kandel-neural,
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%  biburl = {https://www.bibsonomy.org/bibtex/2002f6210e0ffceba5639c38e6d1cd879/idsia},
%  citeulike-article-id = {2377373},
  edition = {Third},
  editor = {Kandel, Eric R. and Schwartz, James H. and Jessell, Thomas M.},
%  interhash = {751bbcbd66ae1cce4d5030a67c88732e},
%  intrahash = {002f6210e0ffceba5639c38e6d1cd879},
  keywords = {nn},
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  publisher = {Elsevier},
%  timestamp = {2008-03-11T15:03:36.000+0100},
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}

@book{mackay2003information, 
title={Information Theory, Inference and Learning Algorithms.}, 
author={MacKay, David J.C.}, 
year={2003}, 
publisher={Cambridge University Press} }

@book{grunwald2007minimum,
  title={The Minimum Description Length Principle.},
  author={Gr{\"u}nwald, Peter D.},
  year={2007},
location={Cambridge, MA},
  publisher={MIT Press}
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@incollection{soatto2013actionable,
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  author={Soatto, Stefano},
  booktitle={Machine Learning for Computer Vision},
  pages={17--48},
  year={2013},
  publisher={Springer}
}

@inproceedings{koh2020concept,
  title={Concept Bottleneck Models.},
  author={Koh, Pang Wei and Nguyen, Thao and Tang, Yew Siang and Mussmann, Stephen and Pierson, Emma and Kim, Been and Liang, Percy},
  booktitle=icml,
  pages={5338--5348},
  year={2020},
  %organization={PMLR}
}


@inproceedings{snell2017learning,
  title={Learning to Generate Images with Perceptual Similarity Metrics.},
  author={Snell, Jake and Ridgeway, Karl and Liao, Renjie and Roads, Brett D and Mozer, Michael C and Zemel, Richard S},
  booktitle=icip,
  pages={4277--4281},
  year={2017},
  organization={IEEE}
}



@book{straw2017, 
title={Straw Camera.}, 
author={Michael Farrell and Cliff Haynes}, 
url = {https://strawcamera.com/},
year={2017}, 
}

@article{torralba_2009, 
title={How Many Pixels Make an Image?}, 
volume={26}, 
%DOI={10.1017/S0952523808080930}, 
number={1}, 
journal={Visual Neuroscience}, 
publisher={Cambridge University Press}, 
author={Torralba, Antonio}, 
year={2009}, 
pages={123–131}
}

@inproceedings{Weiss2001,
    author = {Y. Weiss},
    title = {Deriving Intrinsic Images from Image Sequences.},
    booktitle = iccv,
    year = {2001},
    pages = {68--75}
}                 

@INPROCEEDINGS{Weiss01derivingintrinsic,
    author = {Yair Weiss},
    title = {Deriving Intrinsic Images from Image Sequences.},
      booktitle=iccv,
 volume={2},
    year = {2001},
    pages = {68--75}
}

@article{kingma2019introduction, 
title={An Introduction to Variational Autoencoders.}, 
author={Kingma, Diederik P and Welling, Max and others}, 
journal={Foundations and Trends in Machine Learning}, 
volume={12}, 
number={4}, 
pages={307--392}, 
year={2019}, 
publisher={Now Publishers, Inc.} 
}

@article{kingma2013auto,
  title={Auto-Encoding Variational Bayes.},
  author={Kingma, Diederik P and Welling, Max},
  journal=iclr,
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}


@inproceedings{Butler:ECCV:2012,
title = {A Naturalistic Open Source Movie for Optical Flow Evaluation.},
author = {Butler, D. J. and Wulff, J. and Stanley, G. B. and Black, M. J.},
booktitle = eccv,
editor = {{A. Fitzgibbon et al.}},
publisher = {Springer-Verlag},
series = {Part IV, LNCS 7577},
month = oct,
pages = {611--625},
year = {2012}
}

@INPROCEEDINGS {Lin2017,
author = {T. Lin and P. Dollar and R. Girshick and K. He and B. Hariharan and S. Belongie},
booktitle = cvpr,
title = {Feature Pyramid Networks for Object Detection.},
year = {2017},
volume = {},
%issn = {1063-6919},
pages = {936-944},
%keywords = {feature extraction;detectors;semantics;computer architecture;proposals;object detection;robustness},
%doi = {10.1109/CVPR.2017.106},
%url = {https://doi.ieeecomputersociety.org/10.1109/CVPR.2017.106},
%publisher = {IEEE Computer Society},
%address = {Los Alamitos, CA, USA},
%month = {jul}
}

@INPROCEEDINGS{Liu2008,
  author={Liu, Ce and Freeman, William T. and Adelson, Edward H. and Weiss, Yair},
  booktitle=cvpr, 
  title={Human-Assisted Motion Annotation.}, 
  year={2008},
  volume={},
  number={},
  pages={1-8},
  %doi={10.1109/CVPR.2008.4587845}
}

@INPROCEEDINGS{Dosovitskiy2015,
  author={Dosovitskiy, Alexey and Fischer, Philipp and Ilg, Eddy and Häusser, Philip and Hazirbas, Caner and Golkov, Vladimir and Smagt, Patrick van der and Cremers, Daniel and Brox, Thomas},
  booktitle=iccv, 
  title={FlowNet: Learning Optical Flow with Convolutional Networks.}, 
  year={2015},
  volume={},
  number={},
  pages={2758-2766},
  %doi={10.1109/ICCV.2015.316}
}


@article{Kobayashi2022,
	%Abstract = {In our previous study, we successfully reproduced the illusory motion perceived in the rotating snakes illusion using deep neural networks incorporating predictive coding theory. In the present study, we further examined the properties of the network using a set of 1500 images, including ordinary static images of paintings and photographs and images of various types of motion illusions. Results showed that the networks clearly classified a group of illusory images and others and reproduced illusory motions against various types of illusions similar to human perception. Notably, the networks occasionally detected anomalous motion vectors, even in ordinally static images where humans were unable to perceive any illusory motion. Additionally, illusion-like designs with repeating patterns were generated using areas where anomalous vectors were detected, and psychophysical experiments were conducted, in which illusory motion perception in the generated designs was detected. The observed inaccuracy of the networks will provide useful information for further understanding information processing associated with human vision.},
	Author = {Kobayashi, Taisuke and Kitaoka, Akiyoshi and Kosaka, Manabu and Tanaka, Kenta and Watanabe, Eiji},
	Da = {2022/03/10},
	%Date-Added = {2022-09-09 12:49:49 -0400},
	%Date-Modified = {2022-09-09 12:49:49 -0400},
	%Doi = {10.1038/s41598-022-07438-3},
	Id = {Kobayashi2022},
	%Isbn = {2045-2322},
	Journal = {Scientific Reports},
	Number = {1},
	Pages = {3893},
	Title = {Motion illusion-like patterns extracted from photo and art images using predictive deep neural networks.},
	Ty = {JOUR},
%	Url = {https://doi.org/10.1038/s41598-022-07438-3},
	Volume = {12},
	Year = {2022},
	%Bdsk-Url-1 = {https://doi.org/10.1038/s41598-022-07438-3}
}


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@misc{zhang2016understanding,
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@article{zhang2021understanding,
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@misc{salimans2017evolution,
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  year={2017}
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@InProceedings{Recasens_2018_ECCV,
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booktitle = eccv,
month = {September},
year = {2018}
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    %doi = {10.1093/acprof:oso/9780199794607.003.0021},
    %url = {https://doi.org/10.1093/acprof:oso/9780199794607.003.0021},
    %eprint = {https://academic.oup.com/book/0/chapter/197066189/chapter-ag-pdf/44607913/book\_27344\_section\_197066189.ag.pdf},
}

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  booktitle=icml,
  pages={8748--8763},
  year={2021},
  %organization={PMLR}
}

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@misc{hinton2015distilling,
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@article{gou2021knowledge,
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  author={Gou, Jianping and Yu, Baosheng and Maybank, Stephen J and Tao, Dacheng},
  journal=ijcv,
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  %publisher={Springer}
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@misc{TelgarskyNotes2021,
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note={Lecture notes},
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@book{sutton2018reinforcement,
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@inproceedings{abbas2019geometric,
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@book{Minnaert1993,
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@article{cortes1995support,
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@misc{dataindisguise,
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@misc{ramesh2022hierarchical,
  title={Hierarchical Text-Conditional Image Generation with Clip Latents.},
  author={Ramesh, Aditya and Dhariwal, Prafulla and Nichol, Alex and Chu, Casey and Chen, Mark},
  eprint={2204.06125},
  archivePrefix={arXiv},
  year={2022}
}

%@article{ramesh2022hierarchical,
%  title={Hierarchical text-conditional image generation with clip latents.},
%  author={Ramesh, Aditya and Dhariwal, Prafulla and Nichol, Alex and Chu, Casey and Chen, Mark},
%  journal={arXiv preprint arXiv:2204.06125},
%  year={2022}
%}


@inproceedings{rombach2022high,
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  author={Rombach, Robin and Blattmann, Andreas and Lorenz, Dominik and Esser, Patrick and Ommer, Bj{\"o}rn},
  booktitle=cvpr,
  pages={10684--10695},
  year={2022}
}

@inproceedings{pathak2017curiosity,
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  year={2017},
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@article{silver2016mastering,
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@misc{wu2023visual, 
title={Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models.}, 
author={Wu, Chenfei and Yin, Shengming and Qi, Weizhen and Wang, Xiaodong and Tang, Zecheng and Duan, Nan}, 
    eprint={2303.04671},
    archivePrefix={arXiv},
year={2023} }

@inproceedings{suris2023vipergpt,
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    author={D\'idac Sur\'is and Sachit Menon and Carl Vondrick},
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    year={2023}
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@misc{openai2023gpt4,
      title={GPT-4 Technical Report}, 
      author={OpenAI},
      year={2023},
      eprint={2303.08774},
      archivePrefix={arXiv},
      %primaryClass={cs.CL}
}

@misc{openai2023gpt4v,
      title={GPT-4V(ision) System Card}, 
      author={OpenAI},
      year={2024},
      %eprint={2303.08774},
      %archivePrefix={arXiv},
      %primaryClass={cs.CL}
}

@inproceedings{gupta2023visual,
  title={Visual programming: Compositional visual reasoning without training.},
  author={Gupta, Tanmay and Kembhavi, Aniruddha},
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  year={2023}
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@inproceedings{alayrac2022flamingo,
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  year={2022}
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%    title={Adding Conditional Control to Text-to-Image Diffusion Models.},
%    author={Lvmin Zhang and Maneesh Agrawala},
%    year={2023},
%    eprint={2302.05543},
%    archivePrefix={arXiv},
%    %primaryClass={cs.CV}
%}

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%  added-at = {2007-11-09T10:14:21.000+0100},
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%  biburl = {https://www.bibsonomy.org/bibtex/25b3bfa23d2451f96807ba544f31f4115/tmalsburg},
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%  interhash = {0e81e9482d2f0e91c18ec3a215fe29ab},
%  intrahash = {5b3bfa23d2451f96807ba544f31f4115},
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%  timestamp = {2007-11-09T10:14:22.000+0100},
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title = {DeepShadow: Neural Shape From Shadow.},
year = {2022},
%isbn = {978-3-031-20085-4},
%publisher = {Springer-Verlag},
%address = {Berlin, Heidelberg},
%url = {https://doi.org/10.1007/978-3-031-20086-1_24},
%doi = {10.1007/978-3-031-20086-1_24},
%abstract = {This paper presents ‘DeepShadow’, a one-shot method for recovering the depth map and surface normals from photometric stereo shadow maps. Previous works that try to recover the surface normals from photometric stereo images treat cast shadows as a disturbance. We show that the self and cast shadows not only do not disturb 3D reconstruction, but can be used alone, as a strong learning signal, to recover the depth map and surface normals. We demonstrate that 3D reconstruction from shadows can even outperform shape-from-shading in certain cases. To the best of our knowledge, our method is the first to reconstruct 3D shape-from-shadows using neural networks. The method does not require any pre-training or expensive labeled data, and is optimized during inference time.},
booktitle = eccv,
%{Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part II},
pages = {415–430},
numpages = {16},
%keywords = {Shape from shadow, One-shot, Inverse graphics},
%location = {Tel Aviv, Israel}
}

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	%url = {https://doi.org/10.1152/jn.1953.16.1.37},
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@techreport{Nene1996,
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  %added-at = {2012-07-13T11:58:56.000+0200},
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  %file = {Nene1996.pdf:1996/Nene1996.pdf:PDF},
  %groups = {public},
  institution = {Department of Computer Science, Columbia University},
  %interhash = {bc7cbc30bc6b612dcc7f018d194beed4},
  %intrahash = {e21afb22e024792723fc3b9f659c522e},
  %keywords = {},
  %month = {February},
  %number = {CUCS-005-96},
  %timestamp = {2012-07-13T11:58:56.000+0200},
  title = {Columbia Object Image Library (COIL-20).},
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  year = 1996
}


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%    eprint={2304.02643},
%    archivePrefix={arXiv},
%  year={2023}
%}
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@misc{Randall,
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