A5048791217- Aesthetic Perception and Analysis
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Creativity in Education and Neuroscience
- Image Retrieval and Classification Techniques
- Face Recognition and Perception
- Neural and Behavioral Psychology Studies
- Visual Attention and Saliency Detection
- Generative Adversarial Networks and Image Synthesis
Simon Fraser University
2019-2024
University of Amsterdam
2019
Faces are the primary source for identifying individuals, which need to be obstructed achieve anonymization in images and videos. However, human faces also one of most important sources emotional information, can lost during standard techniques such as blacking out or blurring. The absence signals from face could have negative effects on viewer terms feeling empathy towards anonymized individual. In this paper, we present use AI-driven image stylization a solution preserving facial cues...
It is debated which perceptual functions can take place unconsciously and depend on conscious awareness. Here, we tested whether the meaning of invisible pictures be processed unconsciously, this would psychophysical technique used to render these images invisible. We measured animals or objects presented under backward masking continuous flash suppression could prime subsequent categorization target words into animal non-animal. The experiment failed replicate priming effect reported in two...
With the increased sophistication of AI techniques, application these systems has been expanding to ever newer fields. Increasingly, are being used in modeling human aesthetics and creativity, e.g. how humans create artworks design products. Our lab developed one such creativity deep learning system that can be form images videos. In this paper, we describe its use studying visual formation aesthetic experiences. Specifically, show time-based created media explore nature dual-pathway...
In this paper we outline the need for increased control over stimuli that are used within field of empirical aesthetics. Since artworks highly complex and traditional man-made vary across many different dimensions (such as color palette, subject matter, style) it is difficult to isolate effect a single variable has on aesthetic processing occurs in viewer. We therefore propose explore use computer-generated instead due high degree experimenters have generated output. describe how...