Now showing items 21-30 of 115
An integrated model of visual attention using shape-based features
Apart from helping shed some light on human perceptual mechanisms, modeling visual attention has important applications in computer vision. It has been shown to be useful in priming object detection, pruning interest points, ...
Automated home-cage behavioral phenotyping of mice
We describe a trainable computer vision system enabling the automated analysis of complex mouse behaviors. We provide software and a very large manually annotated video database used for training and testing the system. ...
A Bayesian inference theory of attention: neuroscience and algorithms
The past four decades of research in visual neuroscience has generated a large and disparate body of literature on the role of attention [Itti et al., 2005]. Although several models have been developed to describe specific ...
A new biologically motivated framework for robust object recognition
In this paper, we introduce a novel set of features for robust object recognition, which exhibits outstanding performances on a variety ofobject categories while being capable of learning from only a fewtraining examples. ...
Multi-Class Learning: Simplex Coding And Relaxation Error
We study multi-category classification in the framework of computational learning theory. We show how a relaxation approach, which is commonly used in binary classification, can be generalized to the multi-class setting. ...
Throwing Down the Visual Intelligence Gauntlet
In recent years, scientific and technological advances have produced artificial systems that have matched or surpassed human capabilities in narrow domains such as face detection and optical character recognition. However, ...
Werner Reichardt: the man and his scientific legacy
Excerpts from a talk given by Tomaso Poggio in Tübingen on the opening ofthe Werner Reichardt Centrun für Integrative Neurowissenschaften, December 8, 2008.
Preliminary MEG decoding results
Decoding analysis has been applied to electrophysiology and fMRI data to study the visual system, however, this method has only been applied to MEG visual data in a few instances. Here we use the Neural Decoding Toolbox ...
Some Comments on a Recent Theory of Stereopsis
A number of developments have taken place since the formulation of Marr and Poggio's theory of human stereo vision. In particular, these concern the shape of the underlying receptive fields, the control of eye movements ...
Biophysics of Computation: Neurons, Synapses and Membranes
Synapses, membranes and neurotransmitters play an important role in processing information in the nervous system. We do not know, however, what biophysical mechanisms are critical for neuronal computations, what ...