Search Results for author: Seunghwan Cha

Found 2 papers, 0 papers with code

Quantifying Human Behavior on the Block Design Test Through Automated Multi-Level Analysis of Overhead Video

no code implementations19 Nov 2018 Seunghwan Cha, James Ainooson, Maithilee Kunda

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

no code implementations15 Jun 2018 Xiaohan Wang, Tengyu Ma, James Ainooson, Seunghwan Cha, Xiaotian Wang, Azhar Molla, Maithilee Kunda

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.

Object Object Recognition +1

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