Personne
Oh-Hyeon Choung
Cette personne n’est plus à l’EPFL
Publications associées (10)
Specific Gestalt principles cannot explain (un)crowding
Michael Herzog, Oh-Hyeon Choung, Einat Rashal
The standard physiological model has serious problems accounting for many aspects of vision, particularly when stimulus configurations become slightly more complex than the ones classically used, e.g., configurations of Gabors rather than only one or a few ...
FRONTIERS MEDIA SA2023Unlocking crowding by ensemble statistics
Michael Herzog, David Pascucci, Oh-Hyeon Choung, Yury Markov, Natalia Tiurina
In crowding,1-7 objects that can be easily recognized in isolation appear jumbled when surrounded by other elements.8 Traditionally, crowding is explained by local pooling mechanisms,3,6,9-15 but many findings have shown that the global configuration of th ...
CELL PRESS2022How do visual skills relate to action video game performance?
Michael Herzog, Aline Françoise Cretenoud, Oh-Hyeon Choung, Arthur Barakat
It has been claimed that video gamers possess increased perceptual and cognitive skills compared to non-video gamers. Here, we examined to which extent gaming performance in CS:GO (Counter-Strike: Global Offensive) correlates with visual performance.We tes ...
2021Spatial and temporal integration of visual features
Visual processing can be seen as the integration and segmentation of features. Objects are composed of contours, integrated into shapes and segmented from other contours. Information also needs to be integrated to solve the ill-posed problems of vision. Fo ...
EPFL2021Global and high-level effects in crowding cannot be predicted by either high-dimensional pooling or target cueing
Michael Herzog, Adrien Christophe Doerig, Mauro Manassi, Alban Bornet, Oh-Hyeon Choung
In visual crowding, the perception of a target deteriorates in the presence of nearby flankers. Traditionally, target-flanker interactions have been considered as local, mostly deleterious, low-level, and feature specific, occurring when information is poo ...
ASSOC RESEARCH VISION OPHTHALMOLOGY INC2021Crowding reveals fundamental differences in local vs. global processing in humans and machines
Michael Herzog, Aurélien Bornet, Adrien Christophe Doerig, Oh-Hyeon Choung
Feedforward Convolutional Neural Networks (ffCNNs) have become state-of-the-art models both in computer vision and neuroscience. However, human-like performance of ffCNNs does not necessarily imply human-like computations. Previous studies have suggested t ...
2020Basic gestalt laws cannot explain uncrowding
Michael Herzog, Oh-Hyeon Choung, Einat Rashal
Visual crowding is the inability to perceive elements within clutter. Traditional crowding models, such as pooling, predict that performance deteriorates when flankers are added. However, this prediction has been disproved. For example, performance was fou ...
SAGE PUBLICATIONS LTD2019Reference-frames in vision: Contributions of attentional tracking to nonretinotopic perception in the Ternus-Pikler display
Michael Herzog, Marc Michael Lauffs, Oh-Hyeon Choung
Perception depends on reference frames. For example, the "true'' cycloidal motion trajectory of a reflector on a bike's wheel is invisible because we perceive the reflector motion relative to the bike's motion trajectory, which serves as a reference frame. ...
2019Competing unconscious reference-frames shape conscious motion perception
Michael Herzog, Marc Michael Lauffs, Oh-Hyeon Choung
Visual processing starts with retinotopic encoding: neighboring points in the real world are projected onto neighboring points in the retina. However, perception is usually non-retinotopic. For example, the motion trajectory of a reflector on a bike appear ...
2019Exploring Feature Dimensions to Learn a New Policy in an Uninformed Reinforcement Learning Task
When making a choice with limited information, we explore new features through trial-and-error to learn how they are related. However, few studies have investigated exploratory behaviour when information is limited. In this study, we address, at both the b ...
Springer Nature2017