Deep neural networks (DNNs) have had extraordinary successes in classifying
photographic images of objects and are often described as the best models of biological …

Abstract Abstract Visual Reasoning (AVR) problems are commonly used to approximate
human intelligence. They test the ability of applying previously gained knowledge …

Deepfakes are the result of digital manipulation to forge realistic yet fake imagery. With the
astonishing advances in deep generative models, fake images or videos are nowadays …

Same-different visual reasoning is a basic skill central to abstract combinatorial thought. This
fact has lead neural networks researchers to test same-different classification on deep …

Visual understanding requires comprehending complex visual relations between objects
within a scene. Here, we seek to characterize the computational demands for abstract visual …

People readily generalize knowledge to novel domains and stimuli. We present a theory,
instantiated in a computational model, based on the idea that cross-domain generalization …

Although convolutional neural networks (CNNs) showed remarkable results in many vision
tasks, they are still strained by simple yet challenging visual reasoning problems. Inspired by …

Deep convolutional neural networks (DCNNs) have attracted considerable interest as useful
devices and as possible windows into understanding perception and cognition in biological …

On several key issues we agree with the commentators. Perhaps most importantly, everyone
seems to agree that psychology has an important role to play in building better models of …

This article presents an online light detection and ranging (LiDAR)-only person-following
(LoPF) framework, which can be applied in both indoor and outdoor environments with only …