Pranjul Gupta

Pranjul Gupta

he/him

👨‍💻 Computational Modeler

Mentoring

Mentoring experience 2

Bachelor Thesis, Justus Liebig University, FB-06 Department, 2023

Christine Huschens’ Bachelor Thesis focuses on a study of the inversion effects in the perception of faces, pareidolias, and objects in both biological and artificial networks, employing eye-tracking and DeepGaze saliency maps for comparison. The thesis covers the phenomenon of pareidolia—the tendency to perceive faces in everyday objects—and investigates how this phenomenon and face recognition are affected when images are inverted. It explores the neural processes involved in detecting faces and pareidolias, comparing human and artificial neural network responses to these stimuli. The study aims to understand the influence of image inversion on fixation patterns in humans and artificial networks, and how context (art vs. real objects) affects these patterns.

Mentoring experience 1

Master Thesis, Justus Liebig University, FB-06 Department, 2022

Samuel Sander’s Master Thesis explores the inversion effects in humans and deep neural networks, examining how orientation affects object recognition in both. By comparing human performance with that of deep neural networks across various visual tasks, this work seeks to understand if neural networks can predict inversion effects in humans. Through methodological approaches involving the Ecoset dataset and different network architectures, the thesis finds significant inversion effects in both humans and neural networks, suggesting similarities in classification behaviors despite differences in error distributions under increased image distortion.