activity
20142023
most citedDeep Predictive Coding Networks for Video Prediction and Unsupervised Learning

412 citations · 919 across the 20 of their papers we have counts for

collaborators
Showing cs.CVShow all

9 papers · 1 filter

cs.CV2021★ 5 cited

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…

cs.CV2020

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…

cs.CV2020

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…

cs.CV2019★ 3 cited

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…

cs.CV2019★ 10 cited

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…

cs.CV2019★ 1 cited

Lift-the-flap: what, where and when for context reasoning

Mengmi Zhang, Claire Tseng, Karla Montejo +2

Context reasoning is critical in a wide variety of applications where current inputs need to be interpreted in the light of previous experience and knowledge. Both spatial and temp…

cs.CV2018★ 57 cited

Finding any Waldo: zero-shot invariant and efficient visual search

Mengmi Zhang, Jiashi Feng, Keng Teck Ma +3

Searching for a target object in a cluttered scene constitutes a fundamental challenge in daily vision. Visual search must be selective enough to discriminate the target from distr…

cs.CV2018

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…

cs.CV2018★ 5 cited

Learning Scene Gist with Convolutional Neural Networks to Improve Object Recognition

Kevin Wu, Eric Wu, Gabriel Kreiman

Advancements in convolutional neural networks (CNNs) have made significant strides toward achieving high performance levels on multiple object recognition tasks. While some approac…