Publicaties
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Effective and efficient human action recognition using dynamic frame skipping and trajectory rejection Universiteit Gent
Sparse representation-based human action recognition using an action region-aware dictionary Universiteit Gent
The effects of nicotine on cognition are dependent on baseline performance Vrije Universiteit Brussel Universiteit Antwerpen
Since cholinergic neurotransmission plays a major role in cognition, stimulation of the nicotinic acetylcholine receptor may be a target for cognitive enhancement. While nicotine improves performance on several cognitive domains, results of individual studies vary. A possible explanation for these findings is that the effect of nicotine administration may be dependent on baseline cognitive function, where subjects with a suboptimal cognitive ...
Spin and Wind Directions I: Identifying Entanglement in Nature and Cognition Vrije Universiteit Brussel
We present a cognitive psychology experiment where participants were asked to select pairs of spatial directions that they considered to be the best example of 'Two Different Wind Directions'. Data are shown to violate the CHSH version of Bell's inequality with the same magnitude as in typical Bell-test experiments with entangled spins. Wind directions thus appear to be conceptual entities connected through meaning, in human cognition, in a ...
Training for object recognition with increasing spatial frequency: A comparison of deep learning with human vision KU Leuven
The ontogenetic development of human vision and the real-time neural processing of visual input exhibit a striking similarity-a sensitivity toward spatial frequencies that progresses in a coarse-to-fine manner. During early human development, sensitivity for higher spatial frequencies increases with age. In adulthood, when humans receive new visual input, low spatial frequencies are typically processed first before subsequent processing of ...
A Framework for Recognition and Prediction of Human Motions in Human-Robot Collaboration Using Probabilistic Motion Models KU Leuven
This letter presents a framework for recognition and prediction of ongoing human motions. The predictions generated by this framework could be used in a controller for a robotic device, enabling the emergence of intuitive and predictable interactions between humans and a robotic collaborator. The framework includes motion onset detection, phase speed estimation, intent estimation and conditioning. For recognition and prediction of a motion, the ...
Cognitive defects are reversible in inducible mice expressing pro-aggregant full-length human Tau KU Leuven
Neurofibrillary lesions of abnormal Tau are hallmarks of Alzheimer disease and frontotemporal dementias. Our regulatable (Tet-OFF) mouse models of tauopathy express variants of human full-length Tau in the forebrain (CaMKIIα promoter) either with mutation ΔK280 (pro-aggregant) or ΔK280/I277P/I308P (anti-aggregant). Co-expression of luciferase enables in vivo quantification of gene expression by bioluminescence imaging. Pro-aggregant mice develop ...
Visual Expertise: A computational understanding of visual object recognition in the human brain and convolutional neural networks KU Leuven
Visual Perceptual Learning takes up a great deal of our lives, where for some of us, it leads to becoming an expert (e.g., radiology). The tradition of training specific outcomes is challenged by generalization to other features, retinal locations or other general domains (e.g., multi-tasking). Yet, the mechanisms underlying transfer lead to inconsistent findings, such as whether playing video games results in transfer. The first study aimed to ...
2D action recognition serves 3D human pose estimation KU Leuven
3D human pose estimation in multi-view settings benefits from embeddings of human actions in low-dimensional manifolds, but the complexity of the embeddings increases with the number of actions. Creating separate, action-specific manifolds seems to be a more practical solution. Using multiple manifolds for pose estimation, however, requires a joint optimization over the set of manifolds and the human pose embedded in the manifolds. In order to ...