36 citations · 41 across the 4 of their papers we have counts for
13 papers
What can human minimal videos tell us about dynamic recognition models?
Guy Ben-Yosef, Gabriel Kreiman, Shimon Ullman
In human vision objects and their parts can be visually recognized from purely spatial or purely temporal information but the mechanisms integrating space and time are poorly under…
Simple Learning Rules Generate Complex Canonical Circuits
Joseph Olson, Gabriel Kreiman
Cortical circuits are characterized by exquisitely complex connectivity patterns that emerge during development from undifferentiated networks. The development of these circuits is…
What am I Searching for: Zero-shot Target Identity Inference in Visual Search
Mengmi Zhang, Gabriel Kreiman
Can we infer intentions from a person's actions? As an example problem, here we consider how to decipher what a person is searching for by decoding their eye movement behavior. We…
Can Deep Learning Recognize Subtle Human Activities?
Vincent Jacquot, Zhuofan Ying, Gabriel Kreiman
Deep Learning has driven recent and exciting progress in computer vision, instilling the belief that these algorithms could solve any visual task. Yet, datasets commonly used to tr…
Putting visual object recognition in context
Mengmi Zhang, Claire Tseng, Gabriel Kreiman
Context plays an important role in visual recognition. Recent studies have shown that visual recognition networks can be fooled by placing objects in inconsistent contexts (e.g., a…
Variational Prototype Replays for Continual Learning
Mengmi Zhang, Tao Wang, Joo Hwee Lim +2
Continual learning refers to the ability to acquire and transfer knowledge without catastrophically forgetting what was previously learned. In this work, we consider \emph{few-shot…