A comprehensive survey on video saliency detection with auditory information: the audio-visual consistency perceptual is the key!
Video saliency detection (VSD) aims at fast locating the most attractive
objects/things/patterns in a given video clip. Existing VSD-related works have mainly relied …
objects/things/patterns in a given video clip. Existing VSD-related works have mainly relied …
Stavis: Spatio-temporal audiovisual saliency network
We introduce STAViS, a spatio-temporal audiovisual saliency network that combines spatio-
temporal visual and auditory information in order to efficiently address the problem of …
temporal visual and auditory information in order to efficiently address the problem of …
A novel un-supervised burst time dependent plasticity learning approach for biologically pattern recognition networks
Bio-inspired computing is an appropriate platform for develo** artificial intelligent
machines based on the behavioral and functional principles of the brain. Bio-inspired …
machines based on the behavioral and functional principles of the brain. Bio-inspired …
Listen to look into the future: Audio-visual egocentric gaze anticipation
Egocentric gaze anticipation serves as a key building block for the emerging capability of
Augmented Reality. Notably, gaze behavior is driven by both visual cues and audio signals …
Augmented Reality. Notably, gaze behavior is driven by both visual cues and audio signals …
Recognizing intertwined patterns using a network of spiking pattern recognition platforms
Artificial intelligence computing adapted from biology is a suitable platform for the
development of intelligent machines by imitating the functional mechanisms of the nervous …
development of intelligent machines by imitating the functional mechanisms of the nervous …
Neuromorphic circuit based on the un-supervised learning of biologically inspired spiking neural network for pattern recognition
One of the most sophisticated platforms for hosting intelligent systems is bio-inspired. This
study proposes pattern recognition hardware using a biologically inspired Spiking Neural …
study proposes pattern recognition hardware using a biologically inspired Spiking Neural …
A novel lightweight audio-visual saliency model for videos
Audio information has not been considered an important factor in visual attention models
regardless of many psychological studies that have shown the importance of audio …
regardless of many psychological studies that have shown the importance of audio …
Spiking pattern recognition using informative signal of image and unsupervised biologically plausible learning
S Nazari - Neurocomputing, 2019 - Elsevier
The recent progress of low-power neuromorphic hardware provides exceptional conditions
for applications where their focus is more on saving power. However, the design of spiking …
for applications where their focus is more on saving power. However, the design of spiking …
Audio–visual collaborative representation learning for dynamic saliency prediction
Abstract The Dynamic Saliency Prediction (DSP) task simulates the human selective
attention mechanism to perceive a dynamic scene, which is significant and imperative in …
attention mechanism to perceive a dynamic scene, which is significant and imperative in …
A developmental model of audio-visual attention (MAVA) for bimodal language learning in infants and robots
A social individual needs to effectively manage the amount of complex information in his or
her environment relative to his or her own purpose to obtain relevant information. This paper …
her environment relative to his or her own purpose to obtain relevant information. This paper …