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ORCIDDaniel J. Kersten
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- affiliation: University of Minnesota, Department of Psychology
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2020 – today
- 2023
[c12]Ziwei Liu, Daniel J. Kersten:
Identifying Body Parts in the Spatial Context of Pairwise Relations: Human Psychophysics and Model Simulations. CogSci 2023- 2021
- [c11]Hongru Zhu, Alan L. Yuille, Daniel J. Kersten:
Three-dimensional pose discrimination in natural images of humans. CogSci 2021
2010 – 2019
- 2014
- [j12]Damien J. Mannion
, Daniel J. Kersten, Cheryl A. Olman:
Regions of Mid-level Human Visual Cortex Sensitive to the Global Coherence of Local Image Patches. J. Cogn. Neurosci. 26(8): 1764-1774 (2014) - 2013
- [j11]Damien J. Mannion, Daniel J. Kersten, Cheryl Olman:
Consequences of polar form coherence for fMRI responses in human visual cortex. NeuroImage 78: 152-158 (2013) - 2011
- [j10]Peter W. Battaglia, Daniel J. Kersten, Paul R. Schrater:
How Haptic Size Sensations Improve Distance Perception. PLoS Comput. Biol. 7(6) (2011) - [j9]Katja Doerschner, Daniel J. Kersten, Paul R. Schrater:
Rapid classification of specular and diffuse reflection from image velocities. Pattern Recognit. 44(9): 1874-1884 (2011) - 2010
- [j8]Peter W. Battaglia, Massimiliano Di Luca, Marc O. Ernst, Paul R. Schrater, Tonja Machulla, Daniel J. Kersten:
Within- and Cross-Modal Distance Information Disambiguate Visual Size-Change Perception. PLoS Comput. Biol. 6(3) (2010)
2000 – 2009
- 2009
- [c10]Katja Doerschner, Daniel J. Kersten, Paul R. Schrater:
Rapid Classification of Surface Reflectance from Image Velocities. CAIP 2009: 856-864 - 2005
- [c9]Peter W. Battaglia, Paul R. Schrater, Daniel J. Kersten:
Auxiliary object knowledge influences visually-guided interception behavior. APGV 2005: 145-152 - 2004
- [j7]Cheryl Olman, Daniel J. Kersten:
Classification objects, ideal observers & generative models. Cogn. Sci. 28(2): 227-239 (2004) - [j6]Scott O. Murray, Paul R. Schrater, Daniel J. Kersten:
Perceptual grouping and the interactions between visual cortical areas. Neural Networks 17(5-6): 695-705 (2004) - 2003
- [c8]Alan L. Yuille, Fang Fang, Paul R. Schrater, Daniel J. Kersten:
Human and Ideal Observers for Detecting Image Curves. NIPS 2003: 1459-1466 - 2002
- [c7]Daniel J. Kersten:
Object Perception: Generative Image Models and Bayesian Inference. Biologically Motivated Computer Vision 2002: 207-218 - 2000
- [j5]Paul R. Schrater, Daniel J. Kersten:
How Optimal Depth Cue Integration Depends on the Task. Int. J. Comput. Vis. 40(1): 71-89 (2000)
1990 – 1999
- 1999
- [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 - 1998
- [c5]Zili Liu, Daniel J. Kersten:
2D Affine Transformations are Unlikely to Account for Human 3D Object Recognition. ICCV 1998: 549-554 - 1997
- [c4]Zili Liu, Daniel J. Kersten:
2D Observers for Human 3D Object Recognition? NIPS 1997: 829-835 - 1993
- [c3]Suthep Madarasmi, Daniel J. Kersten, Ting-Chuen Pong:
Multi-layer surface segmentation using energy minimization. CVPR 1993: 774-775 - [c2]Daniel J. Kersten, Suthep Madarasmi:
The Visual Perception of Surfaces, their Properties and Relationships. Partitioning Data Sets 1993: 373-389 - 1992
- [j4]William B. Thompson, Daniel J. Kersten, William R. Knecht:
Structure-from-motion based on information at surface boundaries. Biol. Cybern. 66(4): 327-333 (1992) - [j3]Daniel J. Kersten, Heinrich H. Bülthoff, Bennett L. Schwartz, Kenneth J. Kurtz:
Interaction between Transparency and Structure from Motion. Neural Comput. 4(4): 573-589 (1992) - [c1]Suthep Madarasmi, Daniel J. Kersten, Ting-Chuen Pong:
The Computation of Stereo Disparity for Transparent and for Opaque Surfaces. NIPS 1992: 385-392 - 1990
- [j2]David C. Knill, Daniel J. Kersten:
Learning a Near-Optimal Estimator for Surface Shape from Shading. Comput. Vis. Graph. Image Process. 50(1): 75-100 (1990)
1980 – 1989
- 1988
- [j1]Daniel J. Kersten, Daniel J. Plummer:
Reflectance estimation in the presence of sharp shadows or transparency. Neural Networks 1(Supplement-1): 506-509 (1988)
Coauthor Index
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