Emergent leaders through looking and speaking: from audio-visual data to multimodal recognition

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Existing vehicle trajectory prediction models struggle with generalizability, prediction uncertainties, and handling complex interactions. It is often due to limitations like complex architectures customized for a specific dataset and inefficient multimoda ...

Viewers of 360-degree videos are provided with both visual modality to characterize their surrounding views and audio modality to indicate the sound direction. Though both modalities are important for saliency prediction, little work has been done by joint ...

Electrical stimulation of the visual nervous system could improve the quality of life of patients affected by acquired blindness by restoring some visual sensations, but requires careful optimization of stimulation parameters to produce useful perceptions. ...

Neural decoding of the visual system is a subject of research interest, both to understand how the visual system works and to be able to use this knowledge in areas, such as computer vision or brain-computer interfaces. Spike-based decoding is often used, ...

Decisions about a current visual stimulus are systematically biased by recently encountered stimuli, a phenomenon known as serial dependence. In human vision, for instance, we tend to report the features of current images as more similar â i.e., an attra ...

This book has been designed for instructors in higher education or adult training who wish to develop a new course or revise an existing one. It adopts a practical, visual, and modular approach based on the principle of constructive alignment. At its heart ...

Current machine learning models for vision are often highly specialized and limited to a single modality and task. In contrast, recent large language models exhibit a wide range of capabilities, hinting at a possibility for similarly versatile models in co ...

Out-of-body experiences (OBEs) are characterized by the subjective feeling of being located outside one's physical body and perceiving one's own body from an elevated perspective looking downwards. OBEs have been correlated with abnormal integration of bod ...

As an 'early alerting' sense, one of the primary tasks for the human visual system is to recognize distant objects. In the specific context of facial identification, this ecologically important task has received surprisingly little attention. Most studies ...

Saliency models are image-based prediction models that estimate human visual attention. Such models, when applied to architectural spaces, could pave the way for design decisions where visual attention is taken into account. In this study, we tested the pe ...

Introduction Recent work has shown an association between cognitive and visual impairments and two main theories were advanced, namely the sensory deprivation and the common cause theories. Most studies considered only basic visual functions such as visual ...

This corpus of annotated MuseScore files has been created within the DCML corpus initiative and employs the DCML harmony annotation standard. It is one out of nine similar corpora that have been grouped together to An Annotated Corpus of Tonal Piano Music ...

The massive amounts of digitized historical documents acquired over the last decades naturally lend themselves to automatic processing and exploration. Research work seeking to automatically process facsimiles and extract information thereby are multiplyin ...

Emergent leaders through looking and speaking: from audio-visual data to multimodal recognition

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Towards Generalizable Trajectory Prediction using Dual-Level Representation Learning and Adaptive Prompting

SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention

Decoding electroencephalographic responses to visual stimuli compatible with electrical stimulation

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

Serial Dependence in Human Visual Perception and Decision-Making

Course Design - A Visual and Modular Approach

18 GHz Ultraviolet Astrocomb via Chip-Integrated Harmonic Generation

Out-of-body illusion induced by visual-vestibular stimulation

Recognizing distant faces

Saliency prediction in 360° architectural scenes: Performance and impact of daylight variations

No Common Factor Underlying Decline of Visual Abilities in Mild Cognitive Impairment

Edvard Grieg - Lyric Pieces (A corpus of annotated scores)

Frédéric Chopin - Mazurkas (A corpus of annotated scores)

Antonín Dvořák (A corpus of annotated scores)

Franz Liszt - Années de Pèlerinage (A corpus of annotated scores)

Nikolai Medtner - Tales (A corpus of annotated scores)

Claude Debussy - Suite Bergamasque (A corpus of annotated scores)

Robert Schumann - Kinderszenen (A corpus of annotated scores)

Ludwig van Beethoven - Piano Sonatas (A corpus of annotated scores)

Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers