Three experiments examined the immediate free recall (IFR) of auditory-verbal and visuospatial materials from single-modality and dual-modality lists. In Experiment 1, we presented participants with between 1 and 16 spoken words, with between 1 and 16 visuospatial dot locations, or with between 1 and 16 words and dots with synchronized onsets. We found that for dual-modality lists (a) overall p...

In 2 experiments, participants were presented with lists of between 2 and 12 words for either immediate free recall (IFR) or immediate serial recall (ISR). Auditory recall advantages at the end of the list (modality effects) and visual recall advantages early in the list (inverse modality effects) were observed in both tasks and the extent and magnitude of these effects were dependent upon list...

 Combination of Eigentransformation, a global intra-modality method [1], with the Eigenpatches local intra-modality approach that has been used for face hallucination [2]. For both approaches, photos are transformed to sketches or vice versa to reduce the modality gap. This allows recognition using a traditional face recogniser.  These algorithms are further fused with an inter-modality metho...

The presentation of information using multiple modalities influences the perception of users, their comfort, and their performance in using a computer-based information system. This paper presents a user study investigating the effects of different output modality-combinations on the effectiveness to transport information and on the user’s acceptance of the system. We chose a tourist informatio...

Cross modal face matching between the thermal and visible spectrum is a much desired capability for night-time surveillance and security applications. Due to a very large modality gap, thermal-to-visible face recognition is one of the most challenging face matching problem. In this paper, we present an approach to bridge this modality gap by a significant margin. Our approach captures the highl...

This experiment tests the modality congruency hypothesis, which suggests that in short-term recall of auditory or visual verbal information false memories can be suppressed more effectively if presentation modality and recall mode are in congruent relation (i.e., in oral recall of auditorily presented and written recall of visually presented materials). The experiment is based on the DRM paradi...

The combination of multi-modal image fusion schemes with deep learning classification methods, and particularly Convolutional Neural Networks (CNNs) has achieved remarkable performances in the pedestrian detection field. late scheme significantly enhanced performance recognition task. In this paper, connected CNN is deeply investigated for based on Daimler stereo vision dataset. Thus, an indepe...