Poster, CMBB Day 2023, Giessen, Germany
This poster presentation delved into the fascinating world of face pareidolia, demonstrating how DeepGaze models (visual saliency) offer new insights into this phenomenon. By comparing human and AI perception, this research highlights the potential for interdisciplinary advancements in understanding visual cognition.
Poster, ECVP 2022, Nijmegen, Netherlands
This poster presentation provided groundbreaking research using convolutional neural networks (CNNs) to challenge the expertise hypothesis within the field of visual perception, offering critical insights into the computational limits and possibilities of Fusiform Face Area (FFA).
Talk, SFB Retreat 2022, Schloss Rauischholzhausen, Germany
This presentation explores the intriguing emergence of face pareidolia in deep neural networks, providing a comparative analysis with human visual systems. The findings contribute to the ongoing dialogue on how AI can mimic complex human perceptual processes.
Poster, LIN 2022 Workshop, Schloss Rauischholzhausen, Germany
In this workshop poster presentation, I discussed the use of convolutional neural networks (CNNs) to test the computational plausibility of the expertise hypothesis in visual recognition processes. The session included an in-depth analysis of how deep learning models can inform our understanding of visual cognition, emphasizing the parallels and distinctions between artificial and human perceptual capabilities.
Talk, ECVP 2021, Online (Covid Lockdown)
In this talk, I share my research on how computational models provide a new perspective on the human ability to recognize faces in everyday objects, shedding light on the intricate mechanisms underlying visual perception.