Daniel J. Kersten

25 papers A* 2B 2C 1Journal 13Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computer Vision and Its Relationship to Cognitive Science: A perspective from Bayes Decision Theory. CoRR Alan L. Yuille, Daniel J. Kersten
2023	B	`conf`	Identifying Body Parts in the Spatial Context of Pairwise Relations: Human Psychophysics and Model Simulations. CogSci Ziwei Liu, Daniel J. Kersten
2021	B	`conf`	Three-dimensional pose discrimination in natural images of humans. CogSci Hongru Zhu, Alan L. Yuille, Daniel J. Kersten
2014	J	`jnl`	Regions of Mid-level Human Visual Cortex Sensitive to the Global Coherence of Local Image Patches. J. Cogn. Neurosci. Damien J. Mannion, Daniel J. Kersten, Cheryl A. Olman
2013	J	`jnl`	Consequences of polar form coherence for fMRI responses in human visual cortex. NeuroImage Damien J. Mannion, Daniel J. Kersten, Cheryl Olman
2011	J	`jnl`	How Haptic Size Sensations Improve Distance Perception. PLoS Comput. Biol. Peter W. Battaglia, Daniel J. Kersten, Paul R. Schrater
2011	J	`jnl`	Rapid classification of specular and diffuse reflection from image velocities. Pattern Recognit. Katja Doerschner, Daniel J. Kersten, Paul R. Schrater
2010	J	`jnl`	Within- and Cross-Modal Distance Information Disambiguate Visual Size-Change Perception. PLoS Comput. Biol. Peter W. Battaglia, Massimiliano Di Luca, Marc O. Ernst, Paul R. Schrater, Tonja Machulla, Daniel J. Kersten
2009	C	`conf`	Rapid Classification of Surface Reflectance from Image Velocities. CAIP Katja Doerschner, Daniel J. Kersten, Paul R. Schrater
2005	—	`conf`	Auxiliary object knowledge influences visually-guided interception behavior. APGV Peter W. Battaglia, Paul R. Schrater, Daniel J. Kersten
2004	J	`jnl`	Classification objects, ideal observers & generative models. Cogn. Sci. Cheryl Olman, Daniel J. Kersten
2004	J	`jnl`	Perceptual grouping and the interactions between visual cortical areas. Neural Networks Scott O. Murray, Paul R. Schrater, Daniel J. Kersten
2003	—	`conf`	Human and Ideal Observers for Detecting Image Curves. NIPS Alan L. Yuille, Fang Fang, Paul R. Schrater, Daniel J. Kersten
2002	—	`conf`	Object Perception: Generative Image Models and Bayesian Inference. Biologically Motivated Computer Vision Daniel J. Kersten
2000	J	`jnl`	How Optimal Depth Cue Integration Depends on the Task. Int. J. Comput. Vis. Paul R. Schrater, Daniel J. Kersten
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
1998	A*	`conf`	2D Affine Transformations are Unlikely to Account for Human 3D Object Recognition. ICCV Zili Liu, Daniel J. Kersten
1997	—	`conf`	2D Observers for Human 3D Object Recognition? NIPS Zili Liu, Daniel J. Kersten
1993	A*	`conf`	Multi-layer surface segmentation using energy minimization. CVPR Suthep Madarasmi, Daniel J. Kersten, Ting-Chuen Pong
1993	—	`conf`	The Visual Perception of Surfaces, their Properties and Relationships. Partitioning Data Sets Daniel J. Kersten, Suthep Madarasmi
1992	J	`jnl`	Interaction between Transparency and Structure from Motion. Neural Comput. Daniel J. Kersten, Heinrich H. Bülthoff, Bennett L. Schwartz, Kenneth J. Kurtz
1992	J	`jnl`	Structure-from-motion based on information at surface boundaries. Biol. Cybern. William B. Thompson, Daniel J. Kersten, William R. Knecht
1992	—	`conf`	The Computation of Stereo Disparity for Transparent and for Opaque Surfaces. NIPS Suthep Madarasmi, Daniel J. Kersten, Ting-Chuen Pong
1990	J	`jnl`	Learning a Near-Optimal Estimator for Surface Shape from Shading. Comput. Vis. Graph. Image Process. David C. Knill, Daniel J. Kersten
1988	J	`jnl`	Reflectance estimation in the presence of sharp shadows or transparency. Neural Networks Daniel J. Kersten, Daniel J. Plummer