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Found 14 papers, 1 papers with code
A Cognitively-Inspired Neural Architecture for Visual Abstract Reasoning Using Contrastive Perceptual and Conceptual Processing
We introduce a new neural architecture for solving visual abstract reasoning tasks inspired by human cognition, specifically by observations that human abstract reasoning often interleaves perceptual and conceptual processing as part of a flexible, iterative, and dynamic cognitive process.
A Computational Account Of Self-Supervised Visual Learning From Egocentric Object Play
Research in child development has shown that embodied experience handling physical objects contributes to many cognitive abilities, including visual learning.
A Neurodiversity-Inspired Solver for the Abstraction \& Reasoning Corpus (ARC) Using Visual Imagery and Program Synthesis
Core knowledge about physical objects -- e. g., their permanency, spatial transformations, and interactions -- is one of the most fundamental building blocks of biological intelligence across humans and non-human animals.
Visual-Imagery-Based Analogical Construction in Geometric Matrix Reasoning Task
Raven's Progressive Matrices is a family of classical intelligence tests that have been widely used in both research and clinical settings.
Automatic Item Generation of Figural Analogy Problems: A Review and Outlook
Figural analogy problems have long been a widely used format in human intelligence tests.
The AI Triplet: Computational, Conceptual, and Mathematical Knowledge in AI Education
Efforts to enhance education and broaden participation in AI will benefit from a systematic understanding of the competencies underlying AI expertise.
Do Time Constraints Re-Prioritize Attention to Shapes During Visual Photo Inspection?
People's visual experiences of the world are easy to carve up and examine along natural language boundaries, e. g., by category labels, attribute labels, etc.
Characterizing Datasets for Social Visual Question Answering, and the New TinySocial Dataset
Modern social intelligence includes the ability to watch videos and answer questions about social and theory-of-mind-related content, e. g., for a scene in Harry Potter, "Is the father really upset about the boys flying the car?"
Creative Captioning: An AI Grand Challenge Based on the Dixit Board Game
We propose a new class of "grand challenge" AI problems that we call creative captioning---generating clever, interesting, or abstract captions for images, as well as understanding such captions.
Variable-Viewpoint Representations for 3D Object Recognition
For the problem of 3D object recognition, researchers using deep learning methods have developed several very different input representations, including "multi-view" snapshots taken from discrete viewpoints around an object, as well as "spherical" representations consisting of a dense map of essentially ray-traced samples of the object from all directions.
Learning Spatially Structured Image Transformations Using Planar Neural Networks
Learning image transformations is essential to the idea of mental simulation as a method of cognitive inference.
Modeling Gestalt Visual Reasoning on the Raven's Progressive Matrices Intelligence Test Using Generative Image Inpainting Techniques
In this work, we investigate how Gestalt visual reasoning on the Raven's test can be modeled using generative image inpainting techniques from computer vision.
Quantifying Human Behavior on the Block Design Test Through Automated Multi-Level Analysis of Overhead Video
The block design test is a standardized, widely used neuropsychological assessment of visuospatial reasoning that involves a person recreating a series of given designs out of a set of colored blocks.
The Toybox Dataset of Egocentric Visual Object Transformations
In object recognition research, many commonly used datasets (e. g., ImageNet and similar) contain relatively sparse distributions of object instances and views, e. g., one might see a thousand different pictures of a thousand different giraffes, mostly taken from a few conventionally photographed angles.
