most citedThe Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2020

We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos

Alex Andonian, Camilo Fosco, Mathew Monfort +4

Identifying common patterns among events is a key ability in human and machine perception, as it underlies intelligent decision making. We propose an approach for learning semantic…

cs.CV2019

GANalyze: Toward Visual Definitions of Cognitive Image Properties

Lore Goetschalckx, Alex Andonian, Aude Oliva +1

We introduce a framework that uses Generative Adversarial Networks (GANs) to study cognitive properties like memorability, aesthetics, and emotional valence. These attributes are o…

cs.CV2019

Cross-view Semantic Segmentation for Sensing Surroundings

Bowen Pan, Jiankai Sun, Ho Yin Tiga Leung +2

Sensing surroundings plays a crucial role in human spatial perception, as it extracts the spatial configuration of objects as well as the free space from the observations. To facil…

cs.CV20191 cited

The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence

Radoslaw Martin Cichy, Gemma Roig, Alex Andonian +6

In the last decade, artificial intelligence (AI) models inspired by the brain have made unprecedented progress in performing real-world perceptual tasks like object classification…

cs.CV2019

Unsupervised Learning from Video with Deep Neural Embeddings

Chengxu Zhuang, Tianwei She, Alex Andonian +2

Because of the rich dynamical structure of videos and their ubiquity in everyday life, it is a natural idea that video data could serve as a powerful unsupervised learning signal f…