David C. Knill

发表

Humans optimally weight stereo and texture cues to estimate surface slant

David C. Knill, Jeffrey A. Saunders, 2010 .

Orientation Disparity: A Cue for 3D Orientation?

David C. Knill, Hal S. Greenwald, D. Knill, 2009, Neural Computation.

Humans optimally integrate memory and vision to plan pointing movements

David C. Knill, Anne-Marie Brouwer, 2007 .

Near-optimal spatial integration of optic flow information for direction of heading judgments

David C. Knill, Krystel R. Huxlin, Laurel Issen, 2011 .

Visual feedback control of pointing movements in depth

Bo Hu, David C. Knill, D. Knill, 2010 .

Response to perturbations of visual feedback during reaching movements

David C. Knill, Jeffrey A. Saunders, 2010 .

Modeling dynamic re-weighting in visual cue integration

Bo Hu, David C. Knill, Christopher M. Brown, 2010 .

Introduction: a Bayesian formulation of visual perception

David C. Knill, Daniel Kersten, Alan L. Yuille, 1996 .

Combining depth cues for planning and on-line control of reaching movements

David C. Knill, 2010 .

Detecting motion along spatio-temporally coherent vs. incoherent trajectories

David C. Knill, Jeffrey A. Saunders, Jiri Najemnik, 2010 .

Surface orientation from texture: ideal observers, generic observers and the information content of texture cues

David C. Knill, D. Knill, 1998, Vision Research.

Discrimination of planar surface slant from texture: human and ideal observers compared

David C. Knill, 1998, Vision Research.

Learning to behave optimally in a probabilistic environment

David C. Knill, Brian C. McCann, Anna Seydell, 2010 .

How long does it take to adjust a weight

Marc O. Ernst, David C. Knill, M Di Luca, 2010 .

Learning and inference using complex generative models in a spatial localization task

Richard N. Aslin, David C. Knill, Vikranth R. Bejjanki, 2016, Journal of vision.

Object classification for human and ideal observers

David C. Knill, Zili Liu, Daniel Kersten, 1995, Vision Research.

Learning category contingent speed priors for object interception

David C. Knill, Oh-Sang Kwon, 2013 .

Visual feedback control of hand orientation in fast, goal-directed hand movements

David C. Knill, Brian C. McCann, 2010 .

UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title An Ideal Observer Model of Visual Short-Term Memory Predicts Human Capacity – Precision Tradeoffs Permalink

Robert A. Jacobs, David C. Knill, Chris R. Sims, 2011 .

Mechanisms of visual motion detection

Paul R. Schrater, Eero P. Simoncelli, David C. Knill, 2000, Nature Neuroscience.

Saccades and Finger Movements Are Planned Using Visual Memory As Well As Current Retinal Information

David C. Knill, Laurel Issen, 2009 .

Learning a Near-Optimal Estimator for Surface Shape from Shading

David C. Knill, Daniel J. Kersten, D. Knill, 1990, Comput. Vis. Graph. Image Process..

Human pointing movements in a probabilistic environment

David C. Knill, Julia Trommershäuser, Brian C. McCann, 2010 .

Bayesian observer model of the motion induced position shift

David C. Knill, Duje Tadin, Oh-Sang Kwon, 2013 .

Visual smooth pursuit of proprioceptive signals is enhanced by task-irrelevant dynamic noise

David C. Knill, Duje Tadin, Bo Hu, 2011 .

The weight to spatial memory in visually-guided reaching increases with retinal eccentricity

David C. Knill, Laurel Issen, 2010 .

An ideal observer analysis of visual short-term memory: Evidence for flexible resource allocation

Robert A. Jacobs, David C. Knill, Chris R. Sims, 2011 .

Perceiving visual expansion without optic flow

Paul R. Schrater, Eero P. Simoncelli, David C. Knill, 2001, Nature.

Kinesthetic feedback helps disambiguate 3D structure-from-motion

Bo Hu, David C. Knill, D. Knill, 2010 .

Humans use continuous visual feedback from the hand to control both the direction and distance of pointing movements

David C. Knill, Jeffrey A. Saunders, J. Saunders, 2005, Experimental Brain Research.

Workshop on Visual Perception: Computation and Psychophysics Held in Chatham, Massachusetts on 14-17 January 1993

David C. Knill, Whitman Richards, 1994 .

Active manipulation disambiguates local but not global motion perception

Bo Hu, David C. Knill, D. Knill, 2010 .

Bayesian Models of Sensory Cue Integration

David C. Knill, 2006 .

Perception as Bayesian Inference: Introduction

Alan L. Yuille, David C. Knill, Daniel Kersten, 1996 .

Surface Orientation Visuomotor Sensitivity to Visual Information About

Eli Brenner, Herbert C. Goltz, Agnes M. F. Wong, 2015 .

Cue Integration in Categorical Tasks: Insights from Audio-Visual Speech Perception

Richard N. Aslin, David C. Knill, Meghan Clayards, 2011, PloS one.

Cognition: Conceptual and methodological issues.

David C. Knill, Herbert L. Pick, D. Knill, 1992 .

Stereopsis and amblyopia: A mini-review

David C. Knill, Daphne Bavelier, Dennis M. Levi, 2015, Vision Research.

Object Classification for Human and Ideal

David C. Knill, Observers Liu, 1995 .

Integrating visual cues for motor control: A matter of time

David C. Knill, Jeffrey A. Saunders, Hal S. Greenwald, 2005, Vision Research.

Optimality Principles Apply to a Broad Range of Information Integration Problems in Perception and Action

Robert A. Jacobs, David C. Knill, Anne-Marie Brouwer, 2012 .

The Adaptive Nature of Visual Working Memory

Robert A. Jacobs, David C. Knill, Chris R. Sims, 2014 .

Abstract of papers accepted for publicationLearning a near-optimal estimator for surface shape from shadding

David C. Knill, Daniel Kerstein, 1990 .