David G. Stork

93 papers A* 1A 3B 5C 5Misc 2Journal 31Unranked 42

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	The Evolution of Light in Caravaggio's Oeuvre. ICIAP (Workshops 1) Pepe Ballesteros Zapata, David G. Stork
2024	J	`jnl`	Computer Vision, ML, and AI in the Study of Fine Art. Commun. ACM David G. Stork
2024	J	`jnl`	Deep neural network-based detection of counterfeit products from smartphone images. CoRR Hugo Garcia-Cotte, Dorra Mellouli, Abdul Rehman, Li Wang, David G. Stork
2022	—	`conf`	Artist-specific style transfer for semantic segmentation of paintings: The value of large corpora of surrogate artworks. Computer Vision and Image Analysis of Art Thomas Heitzinger, Matthias Wödlinger, David G. Stork
2022	J	`jnl`	Automatic Computation of Meaning in Authored Images Such as Artworks: A Grand Challenge for AI. ACM Journal on Computing and Cultural Heritage David G. Stork
2022	—	`ed.`	Computer Vision and Image Analysis of Art 2022, online, January 15-26, 2022 Computer Vision and Image Analysis of Art Kurt Heumiller, David G. Stork
2022	—	`conf`	Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks. Computer Vision and Image Analysis of Art Gregory Kell, Ryan-Rhys Griffiths, Anthony Bourached, David G. Stork
2022	J	`jnl`	Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks. CoRR Gregory Kell, Ryan-Rhys Griffiths, Anthony Bourached, David G. Stork
2022	—	`conf`	Improving semantic segmentation of fine art images using photographs rendered in a style learned from artworks. Computer Vision and Image Analysis of Art Thomas Heitzinger, David G. Stork
2021	—	`conf`	Computational identification of significant actors in paintings through symbols and attributes. Computer Vision and Image Analysis of Art David G. Stork, Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths
2021	J	`jnl`	Computational identification of significant actors in paintings through symbols and attributes. CoRR David G. Stork, Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths
2021	—	`ed.`	Computer Vision and Image Analysis of Art 2021, online, January 11-28, 2021 Computer Vision and Image Analysis of Art Kurt Heumiller, David G. Stork
2021	—	`conf`	Did Tim Paint a Vermeer? Computer Vision and Image Analysis of Art David G. Stork, Christopher W. Tyler, Sara J. Schechner
2021	—	`conf`	Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars. Computer Vision and Image Analysis of Art Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths, David G. Stork
2021	J	`jnl`	Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars. CoRR Anthony Bourached, George Cann, Ryan-Rhys Griffiths, David G. Stork
2021	—	`conf`	Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks. Computer Vision and Image Analysis of Art George H. Cann, Anthony Bourached, Ryan-Rhys Griffiths, David G. Stork
2021	J	`jnl`	Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks. CoRR George Cann, Anthony Bourached, Ryan-Rhys Griffiths, David G. Stork
2019	J	`jnl`	ACM SIGAI activity report. AI Matters Sven Koenig, Sanmay Das, Rosemary D. Paradis, John P. Dickerson, Yolanda Gil, Katherine Guo, Benjamin Kuipers, Iolanda Leite, Hang Ma, Nicholas Mattei, Amy McGovern, Larry R. Medsker, Todd W. Neller, Marion Neumann, Plamen Petrov, Michael Rovatsos, David G. Stork
2018	J	`jnl`	ACM SIGAI activity report. AI Matters Sven Koenig, Sanmay Das, Rosemary D. Paradis, John P. Dickerson, Yolanda Gil, Katherine Guo, Benjamin Kuipers, Hang Ma, Nicholas Mattei, Amy McGovern, Larry R. Medsker, Todd W. Neller, Plamen Petrov, Michael Rovatsos, David G. Stork
2017	J	`jnl`	ACM SIGAI activity report. AI Matters Sven Koenig, Sanmay Das, Rosemary D. Paradis, Eric Eaton, Yolanda Gil, Katherine Guo, Bojun Huang, Albert Jiang, Benjamin Kuipers, Nicholas Mattei, Amy McGovern, Larry R. Medsker, Todd W. Neller, Plamen Petrov, Michael Rovatsos, David G. Stork
2017	C	`conf`	Reducing electrical power dissipation in computational imaging systems through special-purpose optics. ISCAS David G. Stork, Thomas Vogelsang, James Tringali, Patrick R. Gill, Mark Kellam, Evan Erickson
2017	—	`conf`	Special-purpose optics to reduce power dissipation in computational sensing and imaging systems. IEEE SENSORS David G. Stork, Patrick R. Gill
2016	—	`conf`	Computational diffractive sensing and imaging: using optics for computation & computation for optics. SIGGRAPH ASIA Courses David G. Stork
2016	—	`conf`	Miniature lensless computational infrared imager. IMSE Evan Erickson, Mark Kellam, Patrick R. Gill, James Tringali, David G. Stork
2014	J	`jnl`	Hardware validated unified model of multibit temporally and spatially oversampled image sensors with conditional reset. J. Electronic Imaging Thomas Vogelsang, David G. Stork, Michael Guidash
2013	B	`conf`	Multichannel sampling of low light level scenes with unknown shifts. ICIP Junjun Zhang, Feng Yang, Thomas Vogelsang, David G. Stork, Martin Vetterli
2012	—	`conf`	In search of Leonardo: computer-based facial image analysis of Renaissance artworks for identifying Leonardo as subject. Human Vision and Electronic Imaging Christopher W. Tyler, William A. P. Smith, David G. Stork
2012	—	`conf`	Mapping colors from paintings to tapestries: rejuvenating the faded colors in tapestries based on colors in reference paintings. Human Vision and Electronic Imaging Marie Ström, Eija Johansson, David G. Stork
2011	—	`conf`	A computer graphics reconstruction and optical analysis of scale anomalies in Caravaggio's Supper at Emmaus. Computer Vision and Image Analysis of Art David G. Stork, Yasuo Furuichi
2011	—	`conf`	Boosting multi-feature visual texture classiffiers for the authentication of Jackson Pollock's drip paintings. Computer Vision and Image Analysis of Art Mahmoud Al-Ayyoub, Mohammad T. Irfan, David G. Stork
2011	—	`ed.`	Computer Vision and Image Analysis of Art II, San Francisco Airport, California, USA, January 23-27, 2011 Computer Vision and Image Analysis of Art David G. Stork, Jim Coddington, Anna Bentkowska-Kafel
2011	—	`conf`	Computer analysis of lighting style in fine art: steps towards inter-artist studies. Computer Vision and Image Analysis of Art David G. Stork
2011	—	`conf`	Did Caravaggio employ optical projections? An image analysis of the parity in the artist's paintings. Computer Vision and Image Analysis of Art David G. Stork
2011	—	`conf`	Improved curvature-based inpainting applied to fine art: recovering van Gogh's partially hidden brush strokes. Computer Vision and Image Analysis of Art Yubin Kuang, David G. Stork, Fredrik Kahl
2011	—	`conf`	Improved methods for dewarping images in convex mirrors in fine art: applications to van Eyck and Parmigianino. Computer Vision and Image Analysis of Art Yumi Usami, David G. Stork, Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata
2011	—	`conf`	X-ray image analysis of Lorenzo Lotto's Husband and wife. Computer Vision and Image Analysis of Art David G. Stork, Alexander J. Kossolapov
2009	Misc	`conf`	Computer Analysis of Lighting in Realist Master Art: Current Methods and Future Challenges. ICIAP David G. Stork
2009	C	`conf`	Computer Vision and Computer Graphics Analysis of Paintings and Drawings: An Introduction to the Literature. CAIP David G. Stork
2009	—	`conf`	Estimating the position of illuminants in paintings under weak model assumptions: an application to the works of two Baroque masters. Human Vision and Electronic Imaging David C. Kale, David G. Stork
2009	C	`conf`	Finding Intrinsic and Extrinsic Viewing Parameters from a Single Realist Painting. CAIP Tadeusz Jordan, David G. Stork, Wai L. Khoo, Zhigang Zhu
2009	C	`conf`	From Digital Imaging to Computer Image Analysis of Fine Art. ArtsIT David G. Stork
2009	—	`conf`	Lighting analysis of diffusely illuminated tableaus in realist paintings: an application to detecting "compositing" in the portraits of Garth Herrick. Media Forensics and Security David G. Stork, Micah K. Johnson
2009	B	`conf`	New image processing challenges for jointly designed electro-optical imaging systems. ICIP M. Dirk Robinson, David G. Stork
2009	—	`conf`	Painted or printed? Correlation analysis of the brickwork in Jan van der Heyden's View of Oudezijds Voorburgwal with the Oude Kerke in Amsterdam. Human Vision and Electronic Imaging David G. Stork, Sean Meador, Petria Nobel
2008	J	`jnl`	Book Review: "complexity Management in Fuzzy Systems: a Rule Base Compression Approach", Alexander Gegov. Int. J. Comput. Intell. Appl. David G. Stork
2007	J	`jnl`	Computer Vision, Image Analysis, and Master Art: Part 3. IEEE Multim. David G. Stork, Marco F. Duarte
2007	J	`jnl`	Revisiting Computer Image Analysis and Art. IEEE Multim. David G. Stork, Marco F. Duarte
2006	J	`jnl`	Computer Vision, Image Analysis, and Master Art: Part 1. IEEE Multim. David G. Stork
2006	J	`jnl`	Computer Vision, Image Analysis, and Master Art: Part 2. IEEE Multim. David G. Stork, Micah K. Johnson
2006	—	`conf`	Estimating the location of illuminants in realist master paintings Computer image analysis addresses a debate in art history of the Baroque. ICPR (1) David G. Stork, M. Kimo Johnson
2005	—	`conf`	Asymmetry in Lotto carpets and its implication for Hockney's optical projection theory. Human Vision and Electronic Imaging David G. Stork
2005	—	`conf`	Did Georges de la Tour use optical projections while painting Christ in the Carpenter's Studio? Electronic Imaging: Image and Video Communications and Processing David G. Stork
2005	—	`conf`	Toward Optimal Labeling Strategy under Multiple Unreliable Labelers. AAAI Spring Symposium: Knowledge Collection from Volunteer Contributors Chuck P. Lam, David G. Stork
2004	—	`conf`	Did Jan van Eyck build the first photocopier in 1432? Color Imaging: Processing, Hardcopy, and Applications David G. Stork
2004	—	`conf`	Did the great masters use optical projections while painting? Perspective Comparison of Paintings and Photographs of Renaissance Chandeliers. ICPR (4) Antonio Criminisi, David G. Stork
2003	A*	`conf`	Evaluating Classifiers by Means of Test Data with Noisy Labels. IJCAI Chuck P. Lam, David G. Stork
2003	—	`conf`	Illumination and Color in the Hockney Theory of Renaissance Painting Praxis: A Critical Evaluation. CIC David G. Stork
2003	A	`conf`	Query Nets: Interacting Workflow Modules That Ensure Global Termination. Business Process Management Rob J. van Glabbeek, David G. Stork
2002	—	`conf`	Token-Controlled Place Refinement in Hierarchical Petri Nets with Application to Active Document Workflow. ICATPN David G. Stork, Rob J. van Glabbeek
2001	C	`conf`	An Architecture Supporting the Collection and Monitoring of Data Openly Contributed over the World Wide Web. WETICE David G. Stork
2001	Misc	`conf`	Keynote address: the HAL 9000 computer and the vision of WSC David G. Stork
2001	—	`book`	Pattern classification, 2nd Edition. Richard O. Duda, Peter E. Hart, David G. Stork
2001	—	`conf`	Toward a Computational Theory of Data Acquisition and Truthing. COLT/EuroCOLT David G. Stork
2000	B	`conf`	Block Color Quantization: A New Method for Color Halftoning. ICIP Maya R. Gupta, Michael J. Gormish, David G. Stork
2000	J	`jnl`	Is paperless really more? Commun. ACM Ziming Liu, David G. Stork
2000	J	`jnl`	Using Open Data Collection for Intelligent Software. Computer David G. Stork
1999	J	`jnl`	Building intelligent systems one e-citizen at a time. IEEE Intell. Syst. Marti A. Hearst, Robin D. Hunson, David G. Stork
1999	A	`conf`	Character and Document Research in the Open Mind Initiative. ICDAR David G. Stork
1998	A	`conf`	From HAL to Office Appliances: Human-machine Interfaces in Science Fiction and Reality. IUI David G. Stork
1998	J	`jnl`	Generic object recognition using form and function - Pattern Anal. Appl. David G. Stork
1997	J	`jnl`	Happy Birthday, HAL! Computer David G. Stork
1996	J	`jnl`	Empirical error-confidence Curves for Neural Network and Gaussian Classifiers. Int. J. Neural Syst. Gregory J. Wolff, David G. Stork, Art B. Owen
1996	B	`conf`	Invited Speech: "Speechreading: An Overview of Image Processing, Feature Extraction, Sensory Intergration and Pattern Recognition Techiques. FG David G. Stork, Marcus E. Hennecke
1995	B	`conf`	Optimizing bit-plane context-dependent entropy coding for palettized images. ICIP Ahmad Zandi, David G. Stork, James D. Allen
1994	—	`conf`	A Rapid Graph-based Method for Arbitrary Transformation-Invariant Pattern Classification. NIPS Alessandro Sperduti, David G. Stork
1994	J	`jnl`	Book Review: Handbook of Pattern Recognition & Computer Vision, Edited by C. H. Chen, L. F. Pau and P. S. P. Wang. Int. J. Neural Syst. David G. Stork
1993	—	`conf`	Digital Boltzmann VLSI for Constraint Satisfaction and Learning. NIPS Michael Murray, Ming-Tak Leung, Kan Boonyanit, Kong Kritayakirana, James B. Burr, Gregory J. Wolff, Tokahiro Watanabe, Edward L. Schwartz, David G. Stork, Allen M. Peterson
1993	J	`jnl`	How to solve the Neurocomputing David G. Stork, James D. Allen
1993	J	`jnl`	Letter to the editor. Neural Networks David G. Stork
1993	—	`conf`	Lipreading by Neural Networks: Visual Preprocessing, Learning, and Sensory Integration. NIPS Gregory J. Wolff, K. Venkatesh Prasad, David G. Stork, Marcus E. Hennecke
1993	—	`conf`	Optimal Brain Surgeon and general network pruning. ICNN Babak Hassibi, David G. Stork, Gregory J. Wolff
1993	—	`conf`	Optimal Brain Surgeon: Extensions and performance comparison. NIPS Babak Hassibi, David G. Stork, Gregory J. Wolff
1992	J	`jnl`	Connectionist generalization for production: An example from GridFont. Neural Networks Igor Grebert, David G. Stork, Ron Keesing, Steve Mims
1992	—	`conf`	Deterministic Boltzmann machine VLSI can be scaled using multi-chip modules. ASAP Michael Murray, James B. Burr, David G. Stork, Ming-Tak Leung, Kan Boonyanit, Gregory J. Wolff, Allen M. Peterson
1992	J	`jnl`	How to solve the N-bit parity problem with two hidden units. Neural Networks David G. Stork, James D. Allen
1992	—	`conf`	Second Order Derivatives for Network Pruning: Optimal Brain Surgeon. NIPS Babak Hassibi, David G. Stork
1991	J	`jnl`	Book Review: "Evolution of the First Nervous Systems", Peter A. V. Anderson (ed.). Int. J. Neural Syst. David G. Stork
1991	J	`jnl`	Book Review: "Introduction to the Theory of Neural Computation", John Hertz, Anders Krogh, and Richard G. Palmer. Int. J. Neural Syst. David G. Stork
1991	—	`conf`	Network Generalization for Production: Learning and Producing Styled Letterforms. NIPS Igor Grebert, David G. Stork, Ron Keesing, Steve Mims
1991	—	`conf`	Retinogeniculate Development: The Role of Competition and Correlated Retinal Activity. NIPS Ron Keesing, David G. Stork, Carla J. Shatz
1991	J	`jnl`	Sources of Neural Structure in Speech and Language Processing. Int. J. Neural Syst. David G. Stork
1990	J	`jnl`	Book Review: "Artificial Neural Systems: Foundations, Paradigms, Applications, and Implementations", Patrick K. Simpson. Int. J. Neural Syst. David G. Stork
1990	—	`conf`	Evolution and Learning in Neural Networks. NIPS Ron Keesing, David G. Stork