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2020 – today
- 2024
[i2]Ling-Qi Zhang, Zahra Kadkhodaie, Eero P. Simoncelli, David H. Brainard:
Optimized Linear Measurements for Inverse Problems using Diffusion-Based Image Generation. CoRR abs/2405.17456 (2024)- 2023
- [c16]Richard F. Murray, David H. Brainard, Alban Flachot, Jaykishan Y. Patel:
An intrinsic image network evaluated as a model of human lightness perception. HVEI 2023: 1-6 - 2022
- [c15]Richard F. Murray, David H. Brainard, Jaykishan Y. Patel
, Ethan Weiss, Khushbu Patel:
An Intrinsic Image Network with Properties of Human Lightness Perception. CIC 2022: 225-230
2010 – 2019
- 2019
- [j10]Ana Radonjic, Nicolas P. Cottaris, David H. Brainard:
The relative contribution of color and material in object selection. PLoS Comput. Biol. 15(4) (2019) - 2018
- [c14]Ana Radonjic, Nicolas P. Cottaris, David H. Brainard:
Quantifying how humans trade off color and material in object identification. HVEI 2018: 1-6 - 2017
- [c13]Haomiao Jiang, Nicolas P. Cottaris, James Golden, David H. Brainard, Joyce E. Farrell, Brian A. Wandell:
Simulating retinal encoding: factors influencing Vernier acuity. HVEI 2017: 177-181 - 2014
- [j9]Yuanjie Zheng, Ebenezer Daniel, Allan A. Hunter III, Rui Xiao, Jianbin Gao, Hongsheng Li, Maureen G. Maguire, David H. Brainard, James C. Gee:
Landmark matching based retinal image alignment by enforcing sparsity in correspondence matrix. Medical Image Anal. 18(6): 903-913 (2014) - [j8]Noah C. Benson, Omar H. Butt, David H. Brainard, Geoffrey Karl Aguirre:
Correction of Distortion in Flattened Representations of the Cortical Surface Allows Prediction of V1-V3 Functional Organization from Anatomy. PLoS Comput. Biol. 10(3) (2014) - [j7]Noah C. Benson, Jeremy R. Manning, David H. Brainard:
Unsupervised Learning of Cone Spectral Classes from Natural Images. PLoS Comput. Biol. 10(6) (2014) - 2013
- [c12]Yuanjie Zheng, Brian Vanderbeek, Ebenezer Daniel, Dwight Stambolian, Maureen G. Maguire, David H. Brainard, James C. Gee:
An automated drusen detection system for classifying age-related macular degeneration with color fundus photographs. ISBI 2013: 1448-1451 - 2011
- [c11]David H. Brainard:
The Human Demosaicing Algorithm. CIC 2011: 108 - [i1]Gasper Tkacik, Patrick Garrigan, Charles P. Ratliff, Grega Milcinski, Jennifer M. Klein, Lucia H. Seyfarth, Peter Sterling, David H. Brainard, Vijay Balasubramanian:
Natural images from the birthplace of the human eye. CoRR abs/1102.0817 (2011) - 2010
- [j6]Patrick Garrigan, Charles P. Ratliff, Jennifer M. Klein, Peter Sterling, David H. Brainard, Vijay Balasubramanian:
Design of a Trichromatic Cone Array. PLoS Comput. Biol. 6(2) (2010)
2000 – 2009
- 2008
- [j5]Petya D. Radoeva, Sashank Prasad, David H. Brainard, Geoffrey Karl Aguirre:
Neural Activity within Area V1 Reflects Unconscious Visual Performance in a Case of Blindsight. J. Cogn. Neurosci. 20(11): 1927-1939 (2008) - 2007
- [j4]Alicia B. Abrams, James M. Hillis, David H. Brainard:
The Relation Between Color Discrimination and Color Constancy: When Is Optimal Adaptation Task Dependent? Neural Comput. 19(10): 2610-2637 (2007) - 2006
- [c10]Bei Xiao, David H. Brainard:
Color perception of 3D objects: constancy with respect to variation of surface gloss. APGV 2006: 63-68 - 2005
- [j3]Peter B. Delahunt, Xuemei Zhang, David H. Brainard:
Perceptual image quality: Effects of tone characteristics. J. Electronic Imaging 14(2): 023003 (2005) - 2004
- [c9]Xuemei Zhang, David H. Brainard:
Bayesian Color Correction Method for Non-Colorimetric Digital Image Sensors. CIC 2004: 308-314 - 2003
- [c8]David H. Brainard:
Computational Mechanisms of Human Color Constancy. CIC 2003: 1 - 2002
- [j2]Philippe Longère, Xuemei Zhang, Peter B. Delahunt, David H. Brainard:
Perceptual assessment of demosaicing algorithm performance. Proc. IEEE 90(1): 123-132 (2002) - 2001
- [j1]Poorvi L. Vora, Joyce E. Farrell, Jerome D. Tietz, David H. Brainard:
Image capture: simulation of sensor responses from hyperspectral images. IEEE Trans. Image Process. 10(2): 307-316 (2001)
1990 – 1999
- 1999
- [c7]Chien-Chung Chen, John M. Foley, David H. Brainard:
Divisive inhibition model for chromoluminance pattern equidiscrimination contours. Human Vision and Electronic Imaging 1999: 78-87 - [c6]Victoria Interrante, Daniel J. Kersten, David H. Brainard, Heinrich H. Bülthoff, James A. Ferwerda, Pawan Sinha:
How to cheat and get away with it: what computer graphics can learn from perceptual psychology. SIGGRAPH Abstracts and Applications 1999: 119-121 - 1997
- [c5]Poorvi L. Vora, Michael Harville, Joyce E. Farrell, Jerome D. Tietz, David H. Brainard:
Image capture: synthesis of sensor responses from multispectral images. Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts 1997: 2-11 - 1996
- [c4]Jon M. Speigle, David H. Brainard:
Is Color Constancy Task Independent? CIC 1996: 167-172 - 1995
- [c3]William T. Freeman, David H. Brainard:
Bayesian Decision Theory, the Maximum Local Mass Estimate, and Color Constancy. ICCV 1995: 210-217 - [c2]David H. Brainard, Doron Sherman:
Reconstructing Images from Trichromatic Samples: From Basic Research to Practical Applications. CIC 1995: 4-10 - [c1]David H. Brainard, Koichiro Ishigami:
Factors Influencing the Appearance of CRT Colors. CIC 1995: 62-66
Coauthor Index
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