David H. Brainard

30 papers A* 1Journal 14Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic Models.
Trans. Mach. Learn. Res.
Ling-Qi Zhang, Zahra Kadkhodaie, Eero P. Simoncelli, David H. Brainard
2024 J jnl
Optimized Linear Measurements for Inverse Problems using Diffusion-Based Image Generation.
CoRR
Ling-Qi Zhang, Zahra Kadkhodaie, Eero P. Simoncelli, David H. Brainard
2023 — conf
An intrinsic image network evaluated as a model of human lightness perception.
HVEI
Richard F. Murray, David H. Brainard, Alban Flachot, Jaykishan Y. Patel
2022 — conf
An Intrinsic Image Network with Properties of Human Lightness Perception.
CIC
Richard F. Murray, David H. Brainard, Jaykishan Y. Patel, Ethan Weiss, Khushbu Patel
2019 J jnl
The relative contribution of color and material in object selection.
PLoS Comput. Biol.
Ana Radonjic, Nicolas P. Cottaris, David H. Brainard
2018 — conf
Quantifying how humans trade off color and material in object identification.
HVEI
Ana Radonjic, Nicolas P. Cottaris, David H. Brainard
2017 — conf
Simulating retinal encoding: factors influencing Vernier acuity.
HVEI
Haomiao Jiang, Nicolas P. Cottaris, James Golden, David H. Brainard, Joyce E. Farrell, Brian A. Wandell
2014 J jnl
Correction of Distortion in Flattened Representations of the Cortical Surface Allows Prediction of V1-V3 Functional Organization from Anatomy.
PLoS Comput. Biol.
Noah C. Benson, Omar H. Butt, David H. Brainard, Geoffrey Karl Aguirre
2014 J jnl
Landmark matching based retinal image alignment by enforcing sparsity in correspondence matrix.
Medical Image Anal.
Yuanjie Zheng, Ebenezer Daniel, Allan A. Hunter III, Rui Xiao, Jianbin Gao, Hongsheng Li, Maureen G. Maguire, David H. Brainard, James C. Gee
2014 J jnl
Unsupervised Learning of Cone Spectral Classes from Natural Images.
PLoS Comput. Biol.
Noah C. Benson, Jeremy R. Manning, David H. Brainard
2013 — conf
An automated drusen detection system for classifying age-related macular degeneration with color fundus photographs.
ISBI
Yuanjie Zheng, Brian Vanderbeek, Ebenezer Daniel, Dwight Stambolian, Maureen G. Maguire, David H. Brainard, James C. Gee
2011 J jnl
Natural images from the birthplace of the human eye
CoRR
Gasper Tkacik, Patrick Garrigan, Charles P. Ratliff, Grega Milcinski, Jennifer M. Klein, Lucia H. Seyfarth, Peter Sterling, David H. Brainard, Vijay Balasubramanian
2011 — conf
The Human Demosaicing Algorithm.
CIC
David H. Brainard
2010 J jnl
Design of a Trichromatic Cone Array.
PLoS Comput. Biol.
Patrick Garrigan, Charles P. Ratliff, Jennifer M. Klein, Peter Sterling, David H. Brainard, Vijay Balasubramanian
2008 J jnl
Neural Activity within Area V1 Reflects Unconscious Visual Performance in a Case of Blindsight.
J. Cogn. Neurosci.
Petya D. Radoeva, Sashank Prasad, David H. Brainard, Geoffrey Karl Aguirre
2007 J jnl
The Relation Between Color Discrimination and Color Constancy: When Is Optimal Adaptation Task Dependent?
Neural Comput.
Alicia B. Abrams, James M. Hillis, David H. Brainard
2006 — conf
Color perception of 3D objects: constancy with respect to variation of surface gloss.
APGV
Bei Xiao, David H. Brainard
2005 J jnl
Perceptual image quality: Effects of tone characteristics.
J. Electronic Imaging
Peter B. Delahunt, Xuemei Zhang, David H. Brainard
2004 — conf
Bayesian Color Correction Method for Non-Colorimetric Digital Image Sensors.
CIC
Xuemei Zhang, David H. Brainard
2003 — conf
Computational Mechanisms of Human Color Constancy.
CIC
David H. Brainard
2002 J jnl
Perceptual assessment of demosaicing algorithm performance.
Proc. IEEE
Philippe Longère, Xuemei Zhang, Peter B. Delahunt, David H. Brainard
2001 J jnl
Image capture: simulation of sensor responses from hyperspectral images.
IEEE Trans. Image Process.
Poorvi L. Vora, Joyce E. Farrell, Jerome D. Tietz, David H. Brainard
1999 — conf
Divisive inhibition model for chromoluminance pattern equidiscrimination contours.
Human Vision and Electronic Imaging
Chien-Chung Chen, John M. Foley, David H. Brainard
1999 — conf
How to cheat and get away with it: what computer graphics can learn from perceptual psychology.
SIGGRAPH Abstracts and Applications
Victoria Interrante, Daniel J. Kersten, David H. Brainard, Heinrich H. Bülthoff, James A. Ferwerda, Pawan Sinha
1997 — conf
Image capture: synthesis of sensor responses from multispectral images.
Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts
Poorvi L. Vora, Michael Harville, Joyce E. Farrell, Jerome D. Tietz, David H. Brainard
1996 — conf
Is Color Constancy Task Independent?
CIC
Jon M. Speigle, David H. Brainard
1995 A* conf
Bayesian Decision Theory, the Maximum Local Mass Estimate, and Color Constancy.
ICCV
William T. Freeman, David H. Brainard
1995 — conf
Factors Influencing the Appearance of CRT Colors.
CIC
David H. Brainard, Koichiro Ishigami
1995 — conf
Reconstructing Images from Trichromatic Samples: From Basic Research to Practical Applications.
CIC
David H. Brainard, Doron Sherman
1989 J jnl
Black light: how sensors filter spectral variation of the illuminant.
IEEE Trans. Biomed. Eng.
David H. Brainard, Brian A. Wandell, William B. Cowan