Daniel J. Kersten

Publication Activity (10 Years)

Years Active: 1988-2023
Publications (10 Years): 2

Top Topics

Top Venues

J. Cogn. Neurosci.

Publications

Ziwei Liu, Daniel J. Kersten
Identifying Body Parts in the Spatial Context of Pairwise Relations: Human Psychophysics and Model Simulations. CogSci (2023)
Hongru Zhu, Alan L. Yuille, Daniel J. Kersten
Three-dimensional pose discrimination in natural images of humans. CogSci (2021)
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) (2014)
Damien J. Mannion, Daniel J. Kersten, Cheryl Olman
Consequences of polar form coherence for fMRI responses in human visual cortex. NeuroImage 78 (2013)
Peter W. Battaglia, Daniel J. Kersten, Paul R. Schrater
How Haptic Size Sensations Improve Distance Perception. PLoS Comput. Biol. 7 (6) (2011)
Katja Doerschner, Daniel J. Kersten, Paul R. Schrater
Rapid classification of specular and diffuse reflection from image velocities. Pattern Recognit. 44 (9) (2011)
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)
Katja Doerschner, Daniel J. Kersten, Paul R. Schrater
Rapid Classification of Surface Reflectance from Image Velocities. CAIP (2009)
Peter W. Battaglia, Paul R. Schrater, Daniel J. Kersten
Auxiliary object knowledge influences visually-guided interception behavior. APGV (2005)
Cheryl Olman, Daniel J. Kersten
Classification objects, ideal observers & generative models. Cogn. Sci. 28 (2) (2004)
Scott O. Murray, Paul R. Schrater, Daniel J. Kersten
Perceptual grouping and the interactions between visual cortical areas. Neural Networks 17 (5-6) (2004)
Alan L. Yuille, Fang Fang, Paul R. Schrater, Daniel J. Kersten
Human and Ideal Observers for Detecting Image Curves. NIPS (2003)
Daniel J. Kersten
Object Perception: Generative Image Models and Bayesian Inference. Biologically Motivated Computer Vision (2002)
Paul R. Schrater, Daniel J. Kersten
How Optimal Depth Cue Integration Depends on the Task. Int. J. Comput. Vis. 40 (1) (2000)
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)
Zili Liu, Daniel J. Kersten
2D Affine Transformations are Unlikely to Account for Human 3D Object Recognition. ICCV (1998)
Zili Liu, Daniel J. Kersten
2D Observers for Human 3D Object Recognition? NIPS (1997)
Suthep Madarasmi, Daniel J. Kersten, Ting-Chuen Pong
Multi-layer surface segmentation using energy minimization. CVPR (1993)
Daniel J. Kersten, Suthep Madarasmi
The Visual Perception of Surfaces, their Properties and Relationships. Partitioning Data Sets (1993)
Daniel J. Kersten, Heinrich H. Bülthoff, Bennett L. Schwartz, Kenneth J. Kurtz
Interaction between Transparency and Structure from Motion. Neural Comput. 4 (4) (1992)
William B. Thompson, Daniel J. Kersten, William R. Knecht
Structure-from-motion based on information at surface boundaries. Biol. Cybern. 66 (4) (1992)
Suthep Madarasmi, Daniel J. Kersten, Ting-Chuen Pong
The Computation of Stereo Disparity for Transparent and for Opaque Surfaces. NIPS (1992)
David C. Knill, Daniel J. Kersten
Learning a Near-Optimal Estimator for Surface Shape from Shading. Comput. Vis. Graph. Image Process. 50 (1) (1990)
Daniel J. Kersten, Daniel J. Plummer
Reflectance estimation in the presence of sharp shadows or transparency. Neural Networks 1 (Supplement-1) (1988)