AIMC Topic: Visual Perception

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Humans take the visuospatial perspective of robots and objects that imply social presence.

Acta psychologica
Visual perspective-taking (VPT) plays a crucial role in social interactions. Although the mechanisms behind VPT have been thoroughly studied in human-human interactions, there are only a few studies examining whether humans can also adopt the visuosp...

Robust Decoding of Rich Dynamical Visual Scenes With Retinal Spikes.

IEEE transactions on neural networks and learning systems
Sensory information transmitted to the brain activates neurons to create a series of coping behaviors. Understanding the mechanisms of neural computation and reverse engineering the brain to build intelligent machines requires establishing a robust r...

Dissecting the effectiveness of deep features as metric of perceptual image quality.

Neural networks : the official journal of the International Neural Network Society
There is an open debate on the role of artificial networks to understand the visual brain. Internal representations of images in artificial networks develop human-like properties. In particular, evaluating distortions using differences between intern...

AI contextual information shapes moral and aesthetic judgments of AI-generated visual art.

Cognition
Throughout history, art creation has been regarded as a uniquely human means to express original ideas, emotions, and experiences. However, as Generative Artificial Intelligence reshapes visual, aesthetic, legal, and economic culture, critical questi...

SSIM over MSE: A new perspective for video anomaly detection.

Neural networks : the official journal of the International Neural Network Society
Video anomaly detection plays a crucial role in ensuring public safety. Its goal is to detect abnormal patterns contained in video frames. Most existing models distinguish the anomalies based on the Mean Squared Error (MSE), which is hard to align wi...

Enhancing the visual environment of urban coastal roads through deep learning analysis of street-view images: A perspective of aesthetic and distinctiveness.

PloS one
Urban waterfront areas, which are essential natural resources and highly perceived public areas in cities, play a crucial role in enhancing urban environment. This study integrates deep learning with human perception data sourced from street view ima...

Semantic prioritization in visual counterfactual explanations with weighted segmentation and auto-adaptive region selection.

Neural networks : the official journal of the International Neural Network Society
In the domain of non-generative visual counterfactual explanations (CE), traditional techniques frequently involve the substitution of sections within a query image with corresponding sections from distractor images. Such methods have historically ov...

A computational deep learning investigation of animacy perception in the human brain.

Communications biology
The functional organization of the human object vision pathway distinguishes between animate and inanimate objects. To understand animacy perception, we explore the case of zoomorphic objects resembling animals. While the perception of these objects ...

Direct perception of affective valence from vision.

Nature communications
Subjective feelings are thought to arise from conceptual and bodily states. We examine whether the valence of feelings may also be decoded directly from objective ecological statistics of the visual environment. We train a visual valence (VV) machine...

Explicitly diverse visual question generation.

Neural networks : the official journal of the International Neural Network Society
Visual question generation involves the generation of meaningful questions about an image. Although we have made significant progress in automatically generating a single high-quality question related to an image, existing methods often ignore the di...