Disruption of Primary Motor Cortex before Learning Impairs Memory of Movement Dynamics (2008)
Matthias Maschke, Christopher M. Gomez, Timothy J. Ebner, J. Izawa, T. Rane, O. Donchin, ...
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Probing Dynamic Human Facial Action Recognition From The Other Side Of The Mean (2008)
Curio, C., Giese, M.A., Breidt, M., Kleiner, M., Bülthoff, H.H., Creem-Regehr, S. H., ...
Insights from human perception of moving faces have the potential to provide interesting insights for technical animation systems as well as in the neural encoding of facial expressions in the brain....
Exploring Human Dynamic Facial Expression Recognition with Animation (2008)
Curio, C., Giese, M.A., Breidt, M., Kleiner, M., Bülthoff, H.H.
The influence of focal cerebellar lesions on the control and adaptation of gait (2008)
Ilg, W., Giese, M. A., Gizewski, E. R., Schoch, B., Timmann, D.
Cerebellar ataxic gait is influenced greatly by balance disorders, most likely caused by lesions of the medial zone of the cerebellum. The contributions of the intermediate and lateral zone to the...
Neural model for the recognition (2007)
M. A. Giese, From G. Baratoff, H. Neumann (eds, Martin A. Giese
of biological motion
Quantification and Classification of Locomotion Patterns By Spatio-Temporal Morphable Models (2007)
M. A. Giese, M. A. Giese, T. Poggio, T. Poggio
Morphable models have been applied successfully in the context of computer vision and computer graphics for the representation of classes of stationary images. In this paper, we develop a similar...
Different theoretical models have tried to investigate the feasibility of recurrent neural mechanisms for achieving direction selectivity in the visual cortex. The mathematical analysis of such...
M. A. Giese, M. A. Giese, T. Poggio, T. Poggio
Synthesis and recognition of biological motion patterns based on linear superposition of
Morphable Models for the (2007)
Analysis And Synthesis, M. A. Giese, T. Poggio, Martin A. Giese, Tomaso Poggio
It has been shown that the linear combination of prototypical views provides a powerful approach for the recognition and the synthesis of images of stationary three-dimensional objects. In this...
Norm-based face encoding by single neurons in the monkey inferotemporal cortex (2006)
Leopold, D.A., Bondar, I.V., Giese, M.A.
The rich and immediate perception of a familiar face, including its identity, expression and even intent, is one of the most impressive shared faculties of human and non-human primate brains. Many...
Learning from Labeled and Unlabeled Data Using Random Walks (2004)
Zhou, D., Schölkopf, B., Rasmussen, C.E., Bülthoff, H.H., Giese, M.A., Schölkopf, B.
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to predict the labels...
Learning Depth From Stereo (2004)
Sinz, F., Quiñonero-Candela, J., Bakir, G.H., Rasmussen, C.E., Franz, M.O., Rasmussen, C. E., ...
We compare two approaches to the problem of estimating the depth of a point in space from observing its image position in two different cameras: 1.~The classical photogrammetric approach explicitly...
Efficient Approximations for Support Vector Machines in Object Detection (2004)
Kienzle, W., Bakir, G.H., Franz, M.O., Schölkopf, B., Rasmussen, C. E., Bülthoff, H. H., ...
We present a new approximation scheme for support vector decision functions in object detection. In the present approach we are building on an existing algorithm where the set of support vectors is...
Semi-supervised kernel regression using whitened function classes (2004)
Franz, M.O., Kwon, Y., Rasmussen, C.E., Schölkopf, B., Rasmussen, C. E., Bülthoff, H. H., ...
The use of non-orthonormal basis functions in ridge regression leads to an often undesired non-isotropic prior in function space. In this study, we investigate an alternative regularization technique...
Modelling Spikes with Mixtures of Factor Analysers (2004)
Görür, D., Rasmussen, C.E., Tolias, A.S., Sinz, F., Logothetis, N.K., Rasmussen, C. E., ...
Identifying the action potentials of individual neurons from extracellular recordings, known as spike sorting, is a challenging problem. We consider the spike sorting problem using a generative...
Learning to Find Graph Pre-Images (2004)
Bakir, G.H., Zien, A., Tsuda, K., Rasmussen, C. E., Buelthoff, H. H., Giese, M. A., ...
The recent development of graph kernel functions has made it possible to apply well-established machine learning methods to graphs. However, to allow for analyses that yield a graph as a result, it...
Multivariate Regression via Stiefel Manifold Constraints (2004)
Bakir, G.H., Gretton, A., Franz, M.O., Schölkopf, B., Rasmussen, C. E., Bülthoff, H. H., ...
We introduce a learning technique for regression between high-dimensional spaces. Standard methods typically reduce this task to many one-dimensional problems, with each output dimension considered...
On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics (2003)
Ilg, W., Bakir, G.H., Mezger, J., Giese, M.A.
In this paper we present a learning-based approach for the modelling of complex movement sequences. Based on the method of Spatio-Temporal Morphable Models (STMMS. We derive a hierarchical algorithm...
W. Ilg, G. H. Bakır, M. O. Franz, M. A. Giese
Imitation learning is a promising technique for teaching robots complex movement sequences. One key problem in this area is the transfer of perceived movement characteristics from perception to...
Morphable Models for the Analysis and Synthesis of Complex Motion Pattern (2000)
M. A. Giese, T. Poggio, Martin A. Giese, Tomaso Poggio
. It has been shown that the linear combination of prototypical views provides a powerful approach for the recognition and the synthesis of images of stationary three-dimensional objects. In this...
Neural Field Model for the Recognition of Biological Motion Patterns (2000)
Neurophysiological research has revealed evidence that the recognition of stationary three-dimensional objects in the cortex seems to be based on neurons that encode prototypical twodimensional views...
Quantification and classification of locomotion patterns by spatio-temporal morphable models (2000)
M. A. Giese, T. Poggio, M. A. Giese, T. Poggio
Quantification and classification of locomotion patterns by spatio-temporal morphable models